CHILD AND ADOLESCENT PSYCHOPATHOLOGY Fifth Edition Sara Miller McCune founded SAGE Publishing in 1965 to support the dissemination of usable knowledge and educate a global community. SAGE publishes more than 1000 journals and over 800 new books each year, spanning a wide range of subject areas. Our growing selection of library products includes archives, data, case studies and video. SAGE remains majority owned by our founder and after her lifetime will become owned by a charitable trust that secures the company’s continued independence. Los Angeles | London | New Delhi | Singapore | Washington DC | Melbourne CHILD AND ADOLESCENT PSYCHOPATHOLOGY A Casebook Fifth Edition Linda A. Wilmshurst Los Angeles London New Delhi Singapore Washington DC Melbourne Copyright © 2022 by SAGE Publications, Inc. All rights reserved. No part of this book may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, or by any information storage and retrieval system, without permission in writing from the publisher. All third-party trademarks referenced or depicted herein are included solely for the purpose of illustration and are the property of their respective owners. Reference to these trademarks in no way indicates any relationship with, or endorsement by, the trademark owner. FOR INFORMATION: SAGE Publications, Inc. 2455 Teller Road Thousand Oaks, California 91320 E-mail: order@sagepub.com SAGE Publications Ltd. 1 Oliver’s Yard 55 City Road London EC1Y 1SP United Kingdom SAGE Publications India Pvt. Ltd. B 1/I 1 Mohan Cooperative Industrial Area Mathura Road, New Delhi 110 044 India SAGE Publications Asia-Pacific Pte. Ltd. 3 Church Street #10-04 Samsung Hub Singapore 049483 Library of Congress Cataloging-in-Publication Data Names: W ilmshurst, Linda, author. Title: Child and adolescent psychopathology : a casebook / Linda A. W ilmshurst. Description: Fifth edition. | Thousand Oaks, California : SAGE Publications, Inc., 2021. | Includes bibliographical references and index. | Summary: “Child and Adolescent Psychopathology: A Casebook provides students with an opportunity to gain deeper insight into a wide range of disorders within the context of the diagnostic framework of the DSM-5. This supplemental textbook prov ides an abundance of “real life” cases which demonstrate methods in assessing and treating a wide spectrum of child and adolescent psy chopathologies in a variety of settings. Each case presents an opportunity to practice and develop clinical skills in the assessment, diagnosis, and treatment of childhood disorders from a number of theoretical perspectives and at various levels of interest and expertise. The book features current trends in assessment, diagnosis, treatment, and research. It is an ideal hands-on resource for a child and adolescent psychopathology course. The fifth edition includes a new case study on depression, expanded coverage of trauma-related disorders, a new glossary, and updated assessment materials and references throughout”—Provided by publisher. Identifiers: LCCN 2021028424 | ISBN 9781071822814 (paperback) | ISBN 9781071822845 (adobe pdf) | ISBN 9781071822821 (epub) | ISBN 9781071822838 (epub) Subjects: LCSH: Child psychopathology —Case studies. | Adolescent psy chopathology—Case studies. Classification: LCC RJ499 .W 46 2021 | DDC 616.8900835—dc23 LC record available at https://lccn.loc.gov /2021028424 Printed in the United States of America This book is printed on acid-free paper. Acquisitions Editor: Lara Parra Editorial Assistant: Ivey M ellem Production Editor: Preethi Agnes Thomas Copy Editor: Christobel Colleen Hopman Typesetter: TNQ Technologies Proofreader: Benny Willy Stephen Indexer: TNQ Technologies Cover Designer: Candice Harman M arketing M anager: Victoria Velasquez BRIEF CONTENTS Preface Acknowledgments About the Author 1 Introduction: Understanding the Complexities of Child and Adolescent Psychopathology 2 Introduction to Neurodevelopmental Disorders Part A: Problems of Attention and Specific Learning Disorders Part B: Autism Spectrum Disorders (ASD) and Intellectual Disabilities 3 Introduction to Disruptive Behavior Disorders 4 Introduction to Anxiety and Compulsive Disorders 5 Introduction to Problems of M ood: Depression and Bipolar Disorders 6 Introduction to Disorders of Emotion and Behavior Dysregulation 7 Introduction to Traumatic and Stress-Related Disorders Appendix A: Supplemental Case Information Appendix B: Systems of Classification Appendix C: Guidelines to the Interpretation of Test Scores and Assessment Information Glossary Glossary References Index DETAILED CONTENTS Preface Acknowledgments About the Author 1 Introduction: Understanding the Complexities of Child and Adolescent Psychopathology 1. Terry Hogan: The Avoidance Trap (10 years old) Developing a Case Formulation 2. Jeremy Jones: M ommy and M e and Grandma M akes Three (6 years old) Developing an Intervention Plan 3. Neesha Wilson: Phoenix Rising (10 years old) Risks, Protective Factors and Psychological Well-Being 2 Introduction to Neurodevelopmental Disorders Part A: Problems of Attention and Specific Learning Disorders 4. Colby Tyler: Attention Problems or Distracted by Life? (14 years old) ADHD; Gifted; Divorce 5. Thomas M cLearn: Read M e a Story (10 years old) Dyslexia 6. Sandy Smith: M arching to the Beat of a Different Drum (8 years old) Nonverbal Learning Disability Part B: Autism Spectrum Disorders (ASD) and Intellectual Disabilities 7. Dylan Bach: The World According to Dylan (6 years old) M ild Variant of ASD 8. Arthur Watson: Won’t or Can’t: A Case of M istaken Identity (15 years old) Intellectual Disability; Parent Denial; Academic and Behavior Problems 9. Brian Williams: M y Name Is Williams, Too (10 years old) Williams Syndrome 10. Bradley Hunter: Not Yet Diagnosed (5 years old) Neurodevelopmental Symptoms 3 Introduction to Disruptive Behavior Disorders 11. Scott M ichaels: Boys Will Be Boys? (9 years old) Oppositional Defiant Disorder; ADHD 12. Tyrone Wilson: The Gang’s All Here (15 years old) Neesha’s Brother; M ultifinality; Learning and Behavior Problems; Gang Activity; Forensic Assessments; Fetal Alcohol Spectrum 4 Introduction to Anxiety and Compulsive Disorders 13. Winnie Kent: Silence Is Not Golden (5 years old) Separation Anxiety Disorder; Selective M utism 14. Shirley Yong: Worried to Perfection (11 years old) General Anxiety Disorder; Depression; Relational Aggression; Cultural Conflict; Trichotillomania 15. Jordan Neeson: Let M e Count the Ways (9 years old) Obsessive Compulsive Disorder 16. Sandra Silver: Shy or Social Anxiety Disorder (Social Phobia) (15 years old) Social Anxiety Disorder 5 Introduction to Problems of M ood: Depression and Bipolar Disorders 17. M aria Silva: Anxious and Sad (11 years old) or Depression Bereavement 18. David Steele: Hopelessness and Despair (17 years old) Adolescent Depression; Suicidal Ideation 19. M atthew M organ: Out of Control and In Control (9 years old) Child-Onset Bipolar Disorder/M ood Dysregulation Disorder 20. Jenny Sloan: The All-American Girl (16 years old) Bipolar Disorder; Suicide Attempt 6 Introduction to Disorders of Emotion and Behavior Dysregulation 21. Alex Bishop: The Slippery Slope (15 years old) Substance Use; M ultidimensional Family Therapy (M DFT) 22. Sarah Burke: Food for Thought (16 years old) Disordered Eating and Eating Disorders 23. Tori Benson: Skin Deep: Cutting Through the Pain (16 years old) Self-M utilation; Borderline Personality Disorder 7 Introduction to Traumatic and Stress-Related Disorders 24. Juan Hernendez: The Crash (16 years old) Posttraumatic Stress Disorder; Survivor Guilt 25. Jason Coleman: Disconnected Connections (16 years old) Conduct Disorder; Attachment Disorder; Traumatic Childhood 26. Ericka White: Not Yet Diagnosed (10 years old) Appendix A: Supplemental Case Information Appendix B: Systems of Classification Appendix C: Guidelines to the Interpretation of Test Scores and Assessment Information Glossary Glossary References Index PREFACE Tell me and I’ll forget. Show me, and I may not remember. Involve me, and I’ll understand. —Nativ e American Proverb The major goal of this casebook is to provide the reader with an opportunity to gain deeper insight into the complexities of child and adolescent psychopathology and to apply this knowledge within the context of the diagnostic framework of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5; APA, 2013). A case study approach is used to involve the reader in the simulated practice of child psychopathology. As problems unfold, a dynamic illustration of a given child’s problems can be observed during several different stages of development and from the perspective of different theoretical viewpoints. Within a developmental context, complex problems of child and adolescent adjustment become grounded in the realities of family and school experiences. Case studies presented in this text are especially relevant to the study of child and adolescent psychopathology because all cases are based on actual clinical cases. Although the cases have been altered to maintain confidentiality, they continue to represent actual living files and, as such, provide a unique opportunity to capture the dynamics of child and adolescent psychopathology in virtual presentations of life as the children develop and their stories unfold before the reader’s eyes. Cases have been selected to include a breadth of childhood and adolescent psychopathology and are representative of the high rates of comorbidity demonstrated in this population. Each case presents an opportunity to practice and develop clinical skills in the assessment, diagnosis, and treatment of childhood disorders from a number of theoretical perspectives and at various levels of interest and expertise. The text is suitable for upper level undergraduate students in its rich presentation of case materials that demonstrate applications of many of the core concepts in child psychopathology (e.g., how therapists from differing theoretical backgrounds would approach a given case). The text is suitable for graduate students in providing opportunities to practice and hone clinical skills across a breadth of clinical cases with opportunities for in-depth discussion and application in specialty areas of concentration: assessment, diagnosis, and treatment. The text can be a valuable resource for courses in child psychopathology, abnormal child psychology, developmental psychopathology, school psychology, behavior problems of childhood, child psychotherapy, child assessment, and case formulation in child psychopathology. Case studies provide diagnostic information at two levels. Case studies are presented to illustrate the dual nature of diagnosis in its emphasis on diagnosis as case formulation (an ongoing process of information gathering, problemsolving, and hypothesis testing) and diagnosis as the formulation of an outcomes statement (the classification or conclusion). Case studies provide comprehensive assessment information. Case information is available from a variety of sources (case history, observations, psychometric assessment, raw data, and clinical interviews) and developmental contexts (individual child, family, school, and peers) to encourage students to develop skills in integrating information from diverse sources. Case studies provide opportunities to develop and practice skills in case formulation. A semistructured flexible format for case formulation is presented and demonstrated to emphasize how case formulation can apply to a wide variety of theoretical perspectives and developmental contexts. Each case provides an opportunity to develop case formulations that address developmental issues relative to the case and to evaluate outcomes relative to expectations. Case studies provide information on current research findings and conceptual issues. Questions posed at the end of each case will challenge the reader to integrate information concerning conceptual issues or research findings with material presented in each case. Case studies provide information concerning evidence-based treatments. Each case is accompanied by a discussion of current issues in treatment. However, advanced students can also have the challenging opportunity of forging new directions in integrating information from effectiveness studies in the development of individual intervention plans and a “case-based” pragmatic approach to treatment (Fishman, 2000). Case studies provide opportunities to discuss issues in classification from a variety of conceptual frameworks and different systems of service delivery. Case studies demonstrate unique issues in the classification of childhood disorders. THE DSM-5 AND CHILD AND ADOLESCENT PSYCHOPATHOLOGY In the past, there has been considerable controversy regarding the suitability of DSM diagnostic criteria for child and adolescent disorders. The main issues concerned whether the categorical approach used by the DSM was suitable for conceptualizing disorders from a developmental perspective that favored a continuum of severity (dimensional approach) and one that recognized that symptoms of disorders would manifest in different ways throughout development. In addition, theories of developmental psychopathology often looked to family and environmental factors that placed children at increased risk for psychopathology, such as insecure attachment, family dysfunction, or social skills deficits. However, it is important to note that the newly revised DSM-5 (APA, 2013) does represent significant improvement in its conceptualization and applicability of disorders within a developmental perspective in several important ways, with increased recognition and emphasis on the following: Developmental and lifespan considerations: The DSM-5 has been reorganized around a lifespan orientation, progressing from disorders that have early onset (neurodevelopmental disorders) to those most common in adolescence and young adulthood (bipolar, depressive, and anxiety disorders) and ultimately focusing on disorders most often associated with adulthood and later life (neurocognitive disorders). Comorbidity and clustering of disorders along internalizing and externalizing dimensions: The DSM-5 represents a movement away from more traditional emphasis on categorical classification toward increased emphasis on dimensional aspects of diagnosis based on shared features, including “neural substrates, family traits, genetic risk factors, specific environmental risk factors, biomarkers, temperamental antecedents, abnormalities of emotional or cognitive processing, symptom similarity, course of illness, high comorbidity, and shared treatment response” (APA, 2013, p. 12). Within this context, the DSM-5 framework is consistent with research supporting clustering of disorders along dimensions of internalizing (anxiety, depressive, and somatic symptoms) and externalizing factors (impulsive, disruptive, and substance use symptoms) based on similarities in environmental and genetic risk factors for these two dimensions. Supporting diagnosis using dimensional cross-cutting symptoms measures. In addition to the traditional diagnostic criteria available from the use of the categorical symptom criteria, the DSM-5 also encourages the use of a questionnaire targeting more general symptoms common to a number of psychological disorders and difficulties (13 domains for adults, 12 domains for children and adolescents). The adult form consists of 23 questions in a selfreport measure indicating the extent to which problems are evident, for the 13 domains, ranging from not at all (0) to severe (4). The parent/guardian symptom measure is used for children aged 6–17 years. Reconceptualization of childhood disorders and unique diagnostic criteria for some disorders with onset in early childhood: The previous category of Disorders Usually First Diagnosed in Infancy, Childhood, or Adolescence originally housed disorders of mental retardation, learning disorders, motor skills disorder, communication disorders, pervasive developmental disorders, attention deficit and disruptive behavior disorders, feeding and eating disorders of infancy or early childhood, tic disorders, elimination disorders, and other disorders of infancy childhood or adolescence (separation anxiety disorder, selective mutism, reactive attachment disorder, stereotypic movement disorder). This category has been removed and a new category – Neurodevelopmental Disorder – has been added which includes intellectual disabilities, communication disorders, autism spectrum disorder, attention deficit/hyperactivity disorder, specific learning disorder, motor disorders, and other neurodevelopmental disorders. Separation anxiety disorder and selective mutism are now both parts of the category of Anxiety Disorders, while reactive attachment disorder can currently be found in the category of Trauma- and Stressor-Related Disorders, which also contains disorders of posttraumatic and acute stress disorders, as well as the adjustment disorders. Obsessive compulsive disorder has been moved from the anxiety disorders to a new category of Obsessive Compulsive and Related Disorders, which also includes such disorders as body dysmorphic disorder, hoarding, and trichotillomania. In addition to these reorganizational features, the DSM-5 now includes unique diagnostic criteria for posttraumatic stress disorder (PTSD) for children 6 years of age and younger and a new diagnostic category “disruptive mood dysregulation disorder,” which has been developed as a potential alternative diagnostic category for symptoms of pediatric bipolar disorder featuring severe recurrent (three or more times, weekly) temper outbursts (verbally or behaviorally). Within the category of Feeding and Eating Disorders, a new diagnostic category of “avoidant/restrictive food intake disorder” has been added, with onset most likely in early childhood. This new disorder replaces the previous category of Feeding Disorder of Infancy or Early Childhood. Conduct disorder and oppositional defiant disorder can be found in the category of Disruptive, Impulse-Control, and Conduct Disorders which also includes intermittent explosive disorder. Risk and prognostic factors: In addition to providing information concerning prevalence, development, and course, the DSM also includes specific sections on comorbidity, and any available information regarding temperamental, environmental, and genetic/physiological factors. Clinical case formulation: The DSM emphasizes that “it is not sufficient to simply check off the symptoms in the diagnostic criteria” and that developing a clinical case formulation requires the ability to recognize the constellation of “predisposing, precipitating, perpetuating, and protective factors” that have contributed to the development of psychopathology and utilizing this information for effective treatment planning (p. 19). This casebook can provide the materials necessary to develop and enhance clinical skills in all the areas listed previously; however, the reader should not lose sight of the fact that, ultimately, each case study in this text is a story about a lost child. In these “living files,” the children have lost the path to normal development. Based on clues provided in the story, the reader’s goals are to determine a child’s current path relative to normal adjustment and redirect the child’s course in the right direction. With these goals in mind, read their stories and develop your expertise so that you can be better prepared to help the next child who may find you. OVERVIEW OF THE CASEBOOK Chapters 1–7: Cases of Child and Adolescent Psychopathology Children and youth depicted in the 26 case studies in these chapters manifest symptoms of several comorbid disorders, as is often seen in real life. The case studies provide an in-depth look at the multiple pathways that can lead to maladaptive behaviors and how children can be buffered from harm or become increasingly more vulnerable based on individual and environmental factors. Cases are presented as they appear in the newly revised DSM-5 and are clustered into chapters that allow for extensive discussion of how the case studies represent similar but different disorders within a given category. Each chapter begins with an introduction to the types of disorders discussed within that chapter. The introduction will also provide information regarding any changes to the DSM criteria that may have altered symptom criteria or how the disorder is to be conceptualized in the future. Each case study is presented in the same format and includes the following information: Overview Introduction Developmental History/Family Background Reason for Referral Assessment Results Issues, Trends, and Treatment Alternatives Post-Case Questions References At the end of each case study, there is a discussion of relevant issues or trends and a review of the latest empirical findings regarding developmentally appropriate treatment programs. Finally, a number of post-case questions challenge the reader to apply theory and research to case-based practice. The following is a brief summary of the content and cases discussed in each of the seven chapters. Chapter 1: Introduction to Understanding the Complexities of Child and Adolescent Psychopathology The opening chapter poses 10 important questions that clinicians ask to guide their determination of whether a behavior is typical or atypical based on their understanding of normal development. Initial discussions will evolve around developing a case formulation and the three stages that are involved in the process (problem identification, problem explanation, and treatment planning). Case formulations can be influenced and guided by assumptions that are derived from a variety of theoretical frameworks. There are a number of theoretical approaches available to assist our understanding of the nature of child and adolescent psychopathology (how disorders develop and why they persist) and inform us as to potential treatment alternatives. The decision-making process is strengthened by drawing on information from five theoretical models (biological, behavioral, cognitive, psychodynamic/attachment, and parenting/family systems) which can assist in understanding maladaptive behaviors from a developmental perspective. Ultimately, these perspectives can be integrated into an overarching transactional biopsychosocial framework that considers the influences of child characteristics (genetics, temperament) and environmental factors (immediate and distal contexts, such as family, teachers, peers, extended family, and culture) in the etiology and maintenance of maladaptive behaviors. Using the different models as a guide, learners will be given an opportunity to develop case formulations and intervention plans for three cases presenting with a variety of comorbid issues. Finally, the chapter will conclude with a discussion of the risks and protective factors associated with the different levels of influence in Bronfenbrenner’s ecological biopsychosocial model, including child characteristics (genetic and temperament factors) and the immediate (family, school, peers, neighborhood) and more distal influences (exosystem and macrosystem). In the first chapter, readers are introduced to three cases which have been specifically selected to provide opportunities for readers to develop and apply important skill sets, including developing a case formulation from a variety of theoretical perspectives, developing a specific behavioral intervention plan, and developing an increased awareness of risks and protective factors that can influence child outcomes. The first case, Terry Hogan (Case 1), presents a complex set of mental health issues that prompt the reader to investigate case formulations along a number of theoretical perspectives. For the second case, Jeremy Jones (Case 2), readers are introduced to a young boy who is raised by his mother and maternal grandmother. The case affords further opportunities to examine case formulations from a number of different angles and provides the added bonus of involving the reader in the process of conducting a functional behavioral assessment with the goal of developing a behavioral intervention plan for Jeremy that can be used in the home by his mother and grandmother. Finally, the third introductory case, Neesha Wilson (Case 3), serves as the spokesperson for resilience as her case presentation highlights the importance of considering risks and protective factors that influence the trajectory of child development. However, although Neesha’s path is one of resilience, outcomes for her brother Tyrone (Case 12) provide a powerful lesson in the concept of multifinality illustrating that despite sharing similarities in their environments, the two siblings, experiences result in very different outcomes. Case 1: Terry Hogan developing a case formulation Case 2: Jeremy Jones developing a behavioral intervention plan Case 3: Neesha Wilson focusing on risks and protective factors Chapter 2: Introduction to Neurodevelopmental Disorders Neurodevelopmental disorders are disabilities that are associated primarily with dysfunction of the neurological system and brain. There are many disorders that can be classified within this category, including attention deficit/hyperactivity disorder (ADHD), the learning disorders, autism spectrum disorder (ASD), disorders of intellectual disability (formerly known as mental retardation), communication disorders, and motor disorders. The introduction to this chapter will provide updated versions of diagnostic criteria for the cases to be discussed, as outlined in the DSM-5. Children with neurodevelopmental disorders can often experience difficulties with speech and language, motor skills, learning and memory, or other functions related to neurological dysfunction. Children who experience neurodevelopmental disorders can demonstrate problems in processing information about their social and academic world that have far-reaching implications for the trajectory of their future development. Although individuals who meet criteria for neurodevelopmental disorders share many comorbid features, the cases in this chapter will be clustered around two themes: cases involving problems of attention and specific learning disorders and cases addressing issues of intellectual disability and ASD. Part A: Problems of Attention and Specific Learning Disorders This part of the chapter will provide an overview of the nature of diagnostic criteria, etiology, and course of disorders that can influence a wide range of academic and social concerns: attention deficit/hyperactivity disorder (ADHD) and the learning disorders. This section will address how these disorders can impact learning through difficulties with executive functions (ADHD) and information processing (specific learning disorders). The discussion will also include any conceptual changes or modifications to the criteria for these disorders in the DSM-5. Three cases will be introduced that address difficulties in the diagnosis and treatment of these disorders, as well as the importance of recognizing other comorbid disorders that often coexist with these problems. From a developmental perspective, children with ADHD and learning disorders often can go undiagnosed and not recognized as having problems, until the academic difficulties become more obvious, around the third or fourth grade. Colby Tyler (Case 4) is a young adolescent who is gifted and living in a home situation that has just been shattered by his parents’ divorce. All this would have been difficult to contend with for any teen; however, Colby also has ADHD and his unsettled conditions have taken their toll on his academic progress. Thomas M cLearn (Case 5) is an 8-year-old boy who is talented athletically and a natural go-getter. Everything seemed to be going his way, until his parents discover the secret that Thomas had been keeping for years. Thomas has learned to cope with his inability to read by memorizing his favorite books. Despite all his natural talent and innate intelligence, Thomas has dyslexia and he cannot read. Finally, Sandy Smith (Case 6) presents with a different set of problems. Although she is able to read very well, she has other subtle problems that seem to go unnoticed, until she is asked some very basic questions about money or time. She also seems to take everything literally and as a result can be the brunt of jokes and peer ridicule. Sandy is very awkward and socially has very few friends. Sandy has a rare form of specific learning disorder known as a nonverbal learning disability. Case 4: Colby Tyler attention deficit/hyperactivity disorder (ADHD) and gifted Case 5: Thomas M cLearn dyslexia Case 6: Sandy Smith nonverbal learning disability Part B: Autism Spectrum Disorder and Intellectual Disability Children like Dylan Bach (Case 7) and Bradley Hunter (Case 10) represent extremes in symptom presentations manifesting symptoms that at times can result in poor ability to engage in social reciprocity, yet at other times may exhibit islands of insight that are well beyond their years. Although some children with intellectual disabilities (general patterns of cognitive deficits) are readily diagnosed due to more obvious delays, others like Arthur Watson (Case 8) may manage to escape detection due to behavioral problems that overshadow their disability, resulting in caregivers setting expectations far beyond the level that the child is able to master, resulting in frustration and escalation of behavioral issues. Other children with intellectual disabilities, like Brian Williams (Case 9) who has Williams syndrome, may demonstrate special talents, like musical ability, or heightened motivations to engage in social situations, although they may be significantly limited in areas of cognitive functioning. Case 7: Dylan Bach autism spectrum disorder (ASD; mild variant) Case 8: Arthur Watson intellectual disability Case 9: Brian Williams intellectual disability (Williams syndrome) Case 10: Bradley Hunter not yet diagnosed; possible neurodevelopmental disorder Chapter 3: Introduction to Behavioral Disorders Children who exhibit symptoms of externalizing disorders, such as oppositional defiant disorder (ODD) or conduct disorder (CD), can be a very disruptive force in their surroundings through their behaviors which may be highly visible, intrusive, and unsettling. Children with ODD or CD may demonstrate poor ability to regulate behaviors and emotions, resulting in responses to emotionally charged situations that escalate out of control, regardless of whether these events are positive or negative (Rydell, Berlin, & Bohlin, 2003). While children with ODD can present as willfully disobedient and defiant of authority, adolescents with CD often violate the rights of others in behaviors that are either overt (bullies, initiates fights, cruelty) or covert (break and enter, cons others, theft) in nature. Family characteristics can be an important underlying dynamic in developing a case formulation for children and adolescents with disruptive behavior disorders, such as Scott M ichaels (Case 11), while peer influences can be an important contributing factor for adolescents with these tendencies, such as Tyrone Wilson (Case 12). Case 11: Scott M ichaels oppositional defiant disorder (ODD) Case 12: Tyrone Wilson conduct disorder (CD) Chapter 4: Introduction to Anxiety and Compulsive Disorders Children who experience anxiety disorders can exhibit internalizing problems in a number of different ways, including withdrawal from social contact, agitation, physical tension and physical complaints, and a plethora of fears and worries causing excessive distress. Unlike the externalizing behaviors, the anxiety disorders can be more subtle and difficult to detect. Developmentally, very young children often can present with a mixture of anxiety and depression, known as negative affectivity, which presents as an undifferentiated form of shared characteristics of anxious/depressed features (Achenbach & Rescorla, 2001). Case studies provide a glimpse of the nature of anxiety and compulsive disorders from several perspectives, including separation anxiety disorder (SAD; Winnie Kent, Case 13); generalized anxiety disorder (GAD; Shirley Yong, Case 14); obsessive compulsive disorder (OCD, Jordan Neeson, Case 15), and social anxiety disorder (Sandra Silver Case 16). Discussions will include the DSM-5 rationale for moving the category of OCD from the anxiety disorders to the section on “Obsessive Compulsive and Related Disorders.” Case 13: Winnie Kent separation anxiety disorder (SAD); selective mutism Case 14: Shirley Yong generalized anxiety disorder (GAD) Case 15: Jordan Neeson obsessive compulsive disorder (OCD) Case 16: Sandra Silver social anxiety disorder Chapter 5: Introduction to Problems of Mood: Depression and Bipolar Disorders Research in the area of mood problems in children and adolescence has increased rapidly in the past twenty years, changing the way that these disorders are conceptualized in children. Although it is widely recognized today that children and adolescents can experience the entire array of depressive symptoms, from depressed mood to depressive disorder, there is less agreement on how these symptoms may appear developmentally in very young children, school-age children, or adolescents. Nowhere is this controversy more prevalent than in the diagnosis of pediatric bipolar disorder (PBD). In fact, in one study of psychiatric discharge rates, prevalence rates of PBD escalated from 1992 to 2004 by 53.2% in children and 58.5% in adolescents (Brotman et al., 2006). This chapter will include a discussion of the rationale behind the DSM-5 decision to separate the categories of bipolar disorders from depressive disorders and the new category of Disruptive M ood Disregulation Disorder (DM DD), which has been recently added to the depressive disorders of the DSM-5 to classify recurrent behavior patterns of temper outbursts, depression, and anger. For comparative purposes, the case studies present two very different perspectives on bipolar disorder, demonstrating how the disorder can manifest in childhood (M atthew M organ, Case 19) relative to adolescent onset (Jenny Stone, Case 20). The chapter also probes whether M atthew should be diagnosed with disruptive mood dysregulation or pediatric bipolar disorder. The case of David Steele (Case 18) provides an in-depth look at suicidal ideation in an adolescent with comorbid substance use issues. At the beginning of the chapter, the case of an 11-year-old girl (M aria Silva, Case 17) is discussed. M aria was referred by her pediatrician due to her high scores on pediatric scales indicating symptoms of depression and anxiety. Ultimately she is diagnosed with a depressive disorder, in addition to disorders of generalized anxiety and social anxiety disorder. The case illustrates, similar to the case of Shirley Yong (Case 14; Chapter 4), the high rates of children, 10%–12% of the child population in the United States, that present with anxiety and depressive disorders (Beesdo, Knappe, & Pine, 2009; M erikangas, Nakamura, & Kessler, 2009), and the high rates of children who present with comorbidity among the two disorders (Hong, Lee, Tsai, & Tan, 2017). Case 17: M aria Silva depressive disorder, generalized anxiety, and social anxiety Case 18: David Steele depression and suicidal ideation Case 19: M atthew M organ pediatric bipolar disorder? Case 20: Jenny Slone bipolar disorder, adolescent onset Chapter 6: Introduction to Disorders of Emotion and Behavior Dysregulation Case studies presented in this section all share underlying facets of emotion dysregulation (inability to regulate emotions in stressful situations), resulting in behavior dysregulation (binge eating, excessive substance use, nonsuicidal selfinjury [NSSI]). The rationale for including these three behaviors in the same chapter is that although no study could be found that links disordered eating to substance use and NSSI, several studies have reported associations between substance use disorders (SUDs) and disordered eating, while some studies have also linked eating disorders to NSSI (Arbuthnott, Lewis, & Bailey, 2015; M uehlenkamp, Peat, Claes, & Smits, 2012) or NSSI to substance use (Gratz & Tull, 2010). Although the majority of youth will navigate this period of development without incurring long-term negative consequences, for some, the road taken can lead to involvement in greater risk-taking behaviors resulting in a trajectory that includes increased risk for negative outcomes. Increased risk for body dissatisfaction has been associated with early maturing girls (Swarr & Richards, 1996), while initial experimentation with cigarettes, alcohol, and marijuana can take a turn for the worse under the tutelage of deviant peer practices. Disorders in this category have later onset, usually in late childhood or adolescence and include disturbances in body dissatisfaction that may result in eating disorders and substance use. Since this period of development is marked by significant changes in biological, psychological, and social systems (Cicchetti & Rogosch, 2002), youth face a number of challenges that can result in shifts in mood, risktaking, and conflicts with authority figures (Arnett, 1999). Alex Bishop (Case 21) is a youth who demonstrates many signs that should warn his caregiver that he is at increased risk of substance use. His case is an important lesson in the importance of recognizing the early warning signs and the need to involve his caregiver in the intervention process. Alex’s case provides a good example of multidimensional family therapy (M DFT) and how this intervention program can be an effective method for working with troubled teens and their family. Family conflict is also an area of concern for Sarah Burke (Case 22), an adolescent who is openly defiant and aggressive with her mother. Sarah is experiencing social and academic difficulties and secretly engages in binge and purge episodes when her mother and sister are at work. Discussion will include difficulties of implementing and sustaining treatment interventions for adolescents with eating disorders. Although little is known about Tori Benson’s (Case 23) past, her current selfabusive behavior suggests that her physical scars mimic the emotional pain she feels within. Case 21: Alex Bishop substance use; multidimensional family therapy Case 22: Sarah Burke eating disorder (bulimia nervosa) Case 23: Tori Benson self-injurious behavior Chapter 7: Introduction to Traumatic and Stress-Related Disorders Stress can trigger an attempt to adjust to an isolated event or result in the ongoing depletion of resources resulting from living in chronically stressful conditions. Over time, stress can result in erosion of the immune system, placing individuals at risk for negative consequences to physical and mental health and emotional well-being. Children can experience trauma resulting from a significant traumatic event (natural disaster, actual or threatened harm to self or others) or from repeated exposure to sexual or physical abuse (type II trauma). Juan Hernendez (Case 24) feels a deep sense of survivor guilt having lived through the fatal accident that claimed the life of his best friend, while Ericka White (Case 26) and Jason Coleman (Case 25) have past abusive experiences that have placed them on a developmental trajectory that can have far-reaching negative outcomes for their future development. This chapter will discuss the shift in classification of the stress disorders (posttraumatic stress disorder, acute stress disorder), adjustment disorders, and reactive attachment disorder to the newly formed category of Trauma and Stressor-Related Disorders and proposed future criteria for nonsuicidal self-injury, as well as criteria for PTSD established for children under 6 years of age. Case 24: Juan Hernandez posttraumatic stress disorder (PTSD) Case 25: Jason Coleman reactive attachment disorder (RAD) Case 26: Ericka White not yet diagnosed Overview of Case Presentations The cases are a rich source of information on a number of developmental themes and diagnostic considerations. Since children and youth can often present with a number of comorbid disorders and features, an overview of the cases is presented in Table P1 which can serve as a guide to the nature of the types of problems and developmental considerations discussed in each of the 26 cases. Table P1. Appendices, Additional Information, and Resources The Glossary contains definitions and examples for terms that have been highlighted in bold throughout the casebook. The Glossary will provide a handy reference guide when reviewing concepts and materials. The Appendices contribute a wealth of additional information for advanced areas of study. Appendix A: Supplemental Case Information This appendix will be especially helpful for readers interested in increasing their understanding of the assessment process. Actual raw data are provided for four cases (Colby Tyler, Scott M ichaels, Arthur Watson, and Shirley Yong), and readers are encouraged to use this information in practicing skills in developing case formulations and generating a written report. A sample psychological report and an exercise in differential diagnoses are provided for the case of Colby Tyler. Appendix B: Systems of Classification Appendix B provides an in-depth discussion of the educational classification system as it relates to four primary childhood disorders: specific learning disabilities, intellectual disabilities (previously, mental retardation), ADHD, and emotional disturbance. This information is a must for advising parents and for integrating assessment results within a school-based setting. The section includes recent updates of the Individuals with Disabilities Education Improvement Act (IDEA, 2004) and the Americans with Disabilities Act Amendments Act of 2008 (ADAAA), which impacts Section 504 of the Rehabilitation Act of 1973. This section will also address the discrepancy criterion and response to intervention as they relate to criteria for determining whether a child meets criteria for designation as learning disabled. Appendix C: Guidelines to the Interpretation of Test Scores and Assessment Information In this section, readers will find a guide to interpreting standard scores and T scores, as well as descriptions of the specific assessment instruments used in the text. REFERENCES Achenbach, T. M ., & Rescorla, L. A. (2001). M anual for the ASEBA school-age forms and profiles. Burlington, VT: University of Vermont, Research Center for Children, Youth and Families. American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders-5. Washington, DC: Author. Arbuthnott, A. E., Lewis, S. P., & Bailey, H. N. (2015). Rumination and emotions in nonsuicidal self‐injury and eating disorder behaviors: A preliminary test of the emotional cascade model. Journal of Clinical Psychology, 71(1), 62–71. Arnett, J. J. (1999). Adolescent storm and stress, reconsidered. American Psychologist, 54(5), 317. Beesdo, K., Knappe, S., & Pine, D. S. (2009). Anxiety and anxiety disorders in children and adolescents: Developmental issues and implications for DSM -V. Psychiatric Clinics of North America, 32:483–542. Brotman, M . A., Schmajuk, M ., Rich, B. A., Dickstein, D., Guyer, A. E., & Costello, E. (2006). Prevalence, clinical correlates and longitudinal course of severe mood dysregulation in children. Biological Psychiatry, 60, 991–997. Cicchetti, D., & Rogosch, F. A. (2002). A developmental psychopathology perspective on adolescence. Journal of Consulting and Clinical Psychology, 70(1), 6–20. Fishman, D. (2000). The case for pragmatic psychology. New York, NY: New York University Press. Gratz, K. L., & Tull, M . T. (2010). The relationship between emotion dysregulation and deliberate self-harm among inpatients with substance use disorders. Cognitive Therapy and Research, 34(6), 544–553. Hong, R. Y., Lee, S. S., Tsai, F., & Tan, S. H. (2017). Developmental trajectories and origins of a core cognitive vulnerability to internalizing symptoms in middle childhood. Clinical Psychological Science, 5(2), 299–315. M erikangas, K. R., Nakamura, E. F., & Kessler, R. C. (2009). Epidemiology of mental disorders in children and adolescents. Dialogues in Clinical Neuroscience, 11(1), 7–20. M uehlenkamp, J. J., Peat, C. M ., Claes, L., & Smits, D. (2012). Self‐injury and disordered eating: Expressing emotion dysregulation through the body. Suicide and Life-Threatening Behavior, 42(4), 416–425. Swarr, A. E., & Richards, M . H. (1996). Longitudinal effects of adolescent girls’ pubertal development, perceptions of pubertal timing, and parental relations on eating problems. Developmental Psychology, 32(4), 636–646. ACKNOWLEDGMENTS SAGE wishes to acknowledge the valuable contributions of the following reviewers: Deborah Harris O’Brien, Trinity Washington University Pamela Schuetze, SUNY Buffalo State College Elisa Geiss, California State University San M arcos Sherry B. Eyer, Gallaudet University ABOUT THE AUTHOR Linda A. Wilmshurst, PhD, ABPP, received her BA and M A in psychology from the University of Windsor and her PhD from the University of Toronto. Linda, a Diplomate in Clinical Psychology (ABPP) and a Registered Psychologist in Florida, has previously held licenses in Ontario, Canada, Texas, and North Carolina. For 10 years, prior to coming to the Center for Psychology, in Florida, Dr. Wilmshurst was a Professor in the Psychology Department at Elon University, in Elon, NC, where she taught courses in child and adult psychopathology. She was also involved in the supervision of student internships and mentoring undergraduate research, primarily in areas related to resiliency, self-perceptions, and wellbeing in college students with attention deficit/hyperactivity disorder (ADHD). Dr. Wilmshurst has authored a number of textbooks, including Clinical and Educational Child Psychology: An Ecological-Transactional Approach to Understanding Child Problems and Interventions (Wiley-Blackwell, 2013), Abnormal Child Psychology: A Developmental Perspective (2nd ed.; Routledge, 2017), and Essentials of Child Psychopathology (2nd ed.; Wiley, 2014). In addition, Linda has co-authored three books with Alan W. Brue: Essentials of Intellectual Disability, Assessment and Identification (Wiley, 2016); A Parent’s Guide to Special Education (AM ACOM , 2005); and The Complete Guide to Special Education (Routledge Taylor Francis, 2018). Linda has worked in the public school systems and mental health facilities, internationally. Linda has published articles in scholarly journals concerning programs for children and youth with severe behavior problems and university students struggling with ADHD. She currently works as a psychologist for the Center for Psychology in Fort M yers, Florida. 1 INTRODUCTION : UNDERSTANDING THE COMPLEXITIES OF CHILD AND ADOLESCENT PSYCHOPATHOLOGY A fundamental challenge inherent in the study of child and adolescent psychopathology is distinguishing normal from atypical behavior. There are several reasons why this decision-making process is so complex and why the task is so difficult. Determining “normal” from “abnormal” behavior requires an evaluation of the frequency of the behavior (e.g., does the behavior occur on a daily, hourly basis?), the duration (is this a recent or ongoing problem), and whether the behavior is pervasive across all situations (or situation specific). With these factors in mind, we can now begin to probe whether the behavior is atypical within a developmental context. Ten of the most important questions that will need to be addressed are the following: 1. Is the behavior atypical, given the child’s developmental stage? An understanding of normal developmental milestones provides the foundation for decisions regarding whether a behavior is atypical. For example, Grace is concerned because her 2-year-old is aggressive. Yesterday, he shoved another child off the swing because he wanted the swing. We know that aggression typically peaks around 2 years of age and then progressively declines, as children develop increased skills in self-control and emotion management. Furthermore, instrumental aggression (pushing the child to obtain an object, e.g., the swing) is a typical form of early aggression, which is less serious than hostile aggression, which is an intent to injure someone. As a result, we would be able to tell Grace with some measure of confidence that the aggressive behavior is not atypical and will likely decline from this point onward. 2. Is the behavior typical at one stage and not at another? Some behaviors are more typical or atypical at various developmental stages. For example, toddlers often engage in oppositional behaviors (the “terrible twos”) as they flex their newfound sense of independence. However, when introduced to the cases of Jeremy Jones who is 6 years old (Chapter 1; Case 2) and Scott M ichaels who is 9 years old (Chapter 3; Case 11), we see “oppositional behavior” that is atypical for both of these boys, given their ages. Both boys are defiant and refuse to comply with the most reasonable of requests. Unchecked, these behaviors can continue to escalate in severity, perhaps even developing into conduct disorder (CD), a more serious variant of the disruptive behavior disorders, which we see in the case of Jason Coleman (Chapter 7; Case 24). 3. Is it possible for the same disorders to have different symptom presentations at different developmental stages? M atthew M organ (Chapter 5; Case 18) and Jenny Sloan (Chapter 5; Case 19) are case studies of bipolar disorder (BPD); however, while M atthew potentially has child-onset BPD, Jenny has adolescent-onset BPD. M atthew’s symptoms evidence high levels of aggression and rapid mood swings, typical of child-onset BPD, while Jenny’s symptoms are closer to the adult version of the disorder, manifested in pressured speech, grandiosity, the need for little sleep, and eventually crashing into a depression and suicide attempt. 4. Do symptoms of disorders appear the same in children and adults? M any times, symptom presentations in children are different from adult versions of the disorders. The question is an important one because on the surface, the Diagnostic and Statistical Manual of Mental Disorders (DSM-5; American Psychiatric Association [APA], 2013) actually lists even fewer disorders that specifically refer to children (disorders with onset in infancy, childhood, and adolescence) than the previous version of the DSM (DSM-IV, TR; APA, 2000). This continues to be an area of concern, since symptoms for the majority of disorders (including anxiety and depression) have historically been based on field trials with adults. The DSM has attempted to address this concern by adding increased descriptions of child and adolescent criteria to the disorders, as well as associated developmental features. For example, the “depressed/sad” features of adult depression may appear as “irritable mood” in a child. Child and adolescent symptoms for posttraumatic stress disorder (PTSD) differ from adults and across different developmental levels. While younger children like Ericka White (Chapter 7; Case 26) will often reenact traumatic experiences through repetitive play, adolescents like Jason Coleman (Chapter 7; Case 25) and Juan Hernendez (Chapter 7; Case 24) may respond by engaging in high-risk behaviors (e.g., theft, fast driving, moving in with a girlfriend and leaving home, etc.). In preschool children, these symptoms can reveal even more deviations from how symptoms present in older children and adults, as was evident in Ericka’s clinical history. Compared to adults, children experience far higher rates of comorbidity (more than one disorder occurring at the same time). As a result, it is important to recognize that there are different patterns of comorbidity and that some disorders have a greater tendency to occur together than others, such as anxiety and depression (Chapter 4; Case 14, and Chapter 5; Case 17). The next three questions (5, 6, and 7) address issues of comorbidity. 5. What are internalizing behaviors, and do they have a tendency to be comorbid? Internalizing behaviors, or overcontrolled behaviors, refer to syndromes that signify “problems within the self, such as anxiety, depression, and somatic complaints that are without known medical cause and result in withdrawal from social contact” (Achenbach & Rescorla, 2001, p. 93). Comorbidity among internalizing disorders is frequent, since they share many common symptoms. Prior to adolescence, anxiety and depression may often appear somewhat undifferentiated as negative affectivity (Achenbach & Rescorla, 2001; Kronenberger & M eyer, 2001). Shirley Yong (Chapter 4) and M aria Silva (Chapter 5) are cases that demonstrate what researchers (Clark & Watson, 1991; Ollendick, Seligman, Goza, Byrd, & Singh, 2003) proposed as part of the Tripartite Model, involving negative affectivity (NA), low positive affect (PA), and physiological hyperarousal (PH). This model suggested that while the negative emotional state of NA is shared in responses of anxiety and depression, responses of PH are primarily associated with anxiety, whereas responses of low PA, such as anhedonia, tend to be associated with depression. 6. What are externalizing behaviors and are they comorbid as well? Externalizing behaviors, or undercontrolled behaviors, are referred to in the DSM -5 as the disruptive behavior disorders: oppositional defiant disorder (ODD) and CD. The hyperactive/impulsive and combined types of attention deficit/ hyperactivity disorder (ADHD) often are comorbid with ODD and CD. Scott M ichaels (Chapter 3) and Jeremy Jones (Chapter 1) are case studies that exemplify comorbid ODD and ADHD (hyperactive-impulsive type). 7. Can internalizing and externalizing disorders ever exist in the same child? Children can have a number of different disorders at the same time (e.g., specific learning disorder, ODD, and ADHD). Having a multitude of comorbid disorders can result in symptoms of depression, due to the cumulative effect of these disorders on adjustment. The case of Jason Coleman (Chapter 7) provides an illustration of how many of the internalizing and externalizing disorders can occur together in the same child.Developmental trajectories are the outcome of interactions between child characteristics (intelligence, social competence, heritability, temperament, etc.) and environmental characteristics (family, school, teachers, peers, neighborhood, etc.). An investigation of situational or contextual variables can uncover the underlying dynamics that precipitate and maintain problem behaviors. Question 8 is related to environmental influences. 8. What are some of the influences in the environment that can contribute to problem behaviors? Problems may be more evident in one environment (home) than another (school) or pervasive across situations. The case study of Jeremy Jones (Chapter 1) reveals how a “well-meaning” mom and grandma exacerbate his behavior problems through reinforcement (at times thinking his behaviors are “cute,” and at other times giving in to his demands out of exhaustion). Jeremy is more controlled at school, due to the structure in the classroom. The case of Colby Tyler (Chapter 2) illustrates how conflict in the home can tip the scales. Even though he is trying to keep his world together, academically and emotionally, with his parents going through a difficult divorce, Colby’s resources have been stretched to the limit.Some factors can place children at increased risk for negative outcomes, while other factors can provide a protective buffer against harm. Risks and protective factors are addressed in Question 9. 9. What are some important risk and protective factors? There has been increased effort to uncover protective factors that can contribute to resilience despite hardship. Knowledge of risk factors can alert practitioners to warning signs, while knowledge of protective factors can provide the foundation for the development of preventive measures. A number of risk and protective factors will be discussed at the end of this chapter.It is important to know that there are several possible pathways (developmental trajectories) that may produce the same outcome—equifinality—and that children who experience similar risks may have very different outcomes—multifinality (Cicchetti & Rogosch, 1996). The final question addresses these issues. 10. What are equifinality and multifinality? In the case studies to follow, you will meet Neesha Wilson (Chapter 1) and her brother Tyrone Wilson (Chapter 3): two African American siblings who have very different outcomes, despite living in the same home and being exposed to some of the same risk factors. Neesha is 10 years of age and Tyrone is 15 years. However, while Neesha’s story is one of resilience, her brother follows the path of least resistance, developing a substance use problem and joining a street gang to support his habit. Neesha and Tyrone illustrate the concept of multifinality. Although they were exposed to similar circumstances growing up, Neesha is successful despite the odds. When you read these two cases, ask yourself what factors could have contributed to the very different outcomes for these two siblings. While adults often self-refer, children are most likely to be referred based on adult concerns. However, behaviors that may be concerning to parents (nightmares, aggression, overactivity) are often frequently reported in “normal” children. In addition, there may be wide variations in parent responsiveness to a child’s given problems, based on extraneous circumstances at the time, such as tolerance level, and stressors, such as financial difficulties or family conflict. With an understanding of the complexities inherent in child and adolescent psychopathology, we can now turn our focus to a number of theoretical perspectives that have been developed to explain how problem behaviors develop and provide direction for treatment and intervention. CASE FORMULATION Kronenberger and M eyer (2001) present a framework for diagnosis, assessment, and treatment based on three essential questions that must be answered by the child clinician. The authors suggest that regardless of the presenting problem or the theoretical background of the therapist, the child clinician is usually faced with providing answers to three primary questions: 1. What are the primary characteristics of the child’s problem? 2. How does the clinician conduct an in-depth evaluation of the problem? 3. How does the clinician decide which interventions are important? The authors suggest that each of the questions addresses a specific issue or aspect of child psychopathology. Clinicians respond to the first question when they classify a child’s problem relative to a diagnostic category or provide a provisional diagnosis or a case formulation based on the presenting symptoms and characteristics. The second question involves the in-depth evaluation. Here, the assessment process requires knowledge of appropriate interview and observational techniques, as well as broad assessment strategies (e.g., cognitive, behavioral, and emotional functioning) and syndrome-specific tests (e.g., instruments to detect anxiety, depression, etc.). These assessment instruments can assist in confirming or ruling out potential diagnoses. The final question requires knowledge of developmentally appropriate evidence-based treatment methods that can be applied to modify the problem (Kronenberger & M eyer, 2001, pp. 1–2). Although the questions can be answered by the majority of theoretical viewpoints, Held (1996) emphasizes the need for therapists to spend more time reconsidering the nature and composition of the theoretical system that guides their decisionmaking process, in what she calls the three predetermined components of therapy: 1. What constitutes problems or impediments to solutions? 2. What causes those problems or impediments to occur? 3. What methods can help clients to solve their problems, overcome their impediments, and obtain their goals? (p. 37) Weerasekera (1996) defines case formulation as a process conducted to provide a “hypothesis of how an individual comes to present with a certain disorder or circumstance at a particular point in time” (p. 5). Case formulations have been explored from a number of theoretical approaches, including psychodynamic (Eells, 1997; M cWilliams, 1999; Shirk & Russell, 1996), behavioral (Cipani & Golden, 2007; M ash & Terdal, 1997), cognitive behavioral (Bruch & Bond, 1999; Esbjørn et al., 2015), and family systems perspectives (Berman, 1997). Within the realm of child psychopathology, research linking child outcomes to parenting styles (Baumrind, 1991) and attachment patterns (Ainsworth, Blehar, Waters, & Wall, 1978) suggests that these areas could also provide rich materials for weaving into the fabric of case formulations. Case formulation can provide a framework for assessing and organizing information in a way that informs treatment planning, by going beyond symptom presentation to deriving hypotheses regarding how the behavior developed and why it is being maintained. Although the concept of case formulation has its origins in the psychodynamic approach, the approach is readily adaptable to a variety of theoretical perspectives and is gaining increased recognition across a wide variety of theoretical models regarding adult as well as child populations (Hersen & Porzelius, 2002; Shirk & Russell, 1996). The case formulation approach is particularly well suited to clinical/developmental child concerns because the approach 1. supports an understanding of underlying processes (cognitive, behavioral, and emotional); 2. readily allows for consideration of the impact of personal and environmental factors on past and present functioning at several levels: individual, immediate, social and economic, and culture; 3. provides an opportunity to address how risks and protective factors can impede or assist treatment; 4. provides a unique opportunity to place therapeutic interventions within an ecologically valid context; 5. can accommodate behavioral (Weisz, Weiss, Han, Granger, & M orton, 1995) and cognitive behavioral training programs that have been demonstrated to reduce anxiety (Esbjørn et al., 2015; Kendall et al., 1992), depression (Stark, Swearer, Kurkowski, Sommer, & Bowen, 1996), disruptive behavior disorders (Cipani & Golden, 2007; Spaccarelli, Cotler, & Penman, 1992), and, combined with pharmacology, symptoms of ADHD (Barkley, 1997); 6. is best utilized when a therapist is not confined to a single model or approach and is best viewed as “part of a holistic approach, encompassing the biological, psychological, social, and cultural” perspectives (Sim, Gwee & Bateman, 2005, p. 291). THREE STAGES IN CASE FORMULATION: A CONCEPTUAL MODEL As a construct, case formulation seeks to address the essential questions posed by Kronenberger and M eyer (2001) and Held (1996). When a diagnosis is made, a wealth of clinical knowledge about the disorder is readily available. The case formulation is a hypothesis about potential underlying influences that precipitate (cause) and maintain the behavior, including child factors (biological, genetic, and neurobiological) and environmental factors (family, school, peers, community). To this end, the case formulation provides a better understanding of Problem identification (what is the problem?) Precipitating and maintaining factors (why does the problem exist? why is the problem persisting?) Intervention (how can the problem be alleviated?) The case formulation presents a three-stage model that provides an organizational framework for discussing diagnosis, assessment, and treatment/intervention. The three stages of the case formulation include Stage 1: Problem identification (clarification and classification) Stage 2: Problem interpretation/understanding (precipitating and maintaining factors) Stage 3: Treatment formulation (intervention strategies). Stage 1: Problem identification: Knowledge of normative expectations, awareness of the etiology of disorders, and familiarity with empirical research all add to our understanding of specific disorders. At this stage, a wide variety of assessment methods allows us to access information from multiple sources (parents, teachers, child). In some multiple-problem cases, there may be a need to prioritize among problem areas based on urgency and/or severity of problems. Sometimes, what was originally thought to be “the main problem” is actually secondary to a different concern. In these cases, hypotheses are reformulated. Stage 2: Problem interpretation/understanding: Developmental and family history can provide important information regarding potential genetic (family pathology, biological implications) or event-based causes (family or school history, traumatic events, etc.). Knowledge of risks and protective factors can also assist in better understanding conditions that might exacerbate or moderate the problem. At this stage, theoretical assumptions can influence how the problem is conceptualized; however, the ability to integrate information from diverse theoretical perspectives can increase our understanding of the dynamics involved. Stage 3: Treatment formulation: Knowledge of evidence-based treatments that best apply to the unique aspects of the case will increase opportunities for success. M onitoring and evaluating treatment effectiveness are also important in order to validate the effectiveness of the treatment or intervention (Box 1.1). Box 1.1 Thinking Out Loud Sections titled “Thinking Out Loud” will provide opportunities to consolidate information, identify areas for further exploration, and assist in working through the process of case formulation. Although case formulation involves three stages, it is a dynamic and ongoing process that has a built-in capacity for flexible thinking and revision at all stages. In this way, case formulation can become case reformulation, allowing for ongoing refinement and evaluation of problem areas and treatment plans. CASE FORMULATION FROM FIVE DIFFERENT PERSPECTIVES The following section is devoted to case formulations developed from five different theoretical frameworks: biological, behavioral, cognitive (social cognitive), psychodynamic/attachment, and parenting style/family systems. Case Formulation Based on the Biological Perspective The biological perspective looks to genetics, physiological factors, and brain anatomy (function and biochemical activity) to assist in understanding the etiology of human behavior and possible treatment alternatives. Developmentally, rapid growth in brain development in the first 2 years of life results in pruning of less useful connections while increasing the efficiency of neural transmissions due to a process of myelination which improves conductivity. Neurotransmitters, chemicals released into the synapse between neurons, can have a profound influence on moods and behaviors, such as depressive moods that can result from low levels of serotonin or norepinephrine, or increases in anxiety resulting from malfunction of gamma-aminobutyric acid (GABA) which is not performing adequately to inhibit anxious responses. In addition, secretion of hormones into the bloodstream, such as the release of cortisol in response to stressful circumstances, can cause the hypothalamus–pituitary–adrenal system (HPA) to go on high alert by activation of the sympathetic nervous system in individuals with PTSD or those vulnerable to other anxiety-provoking situations. In addition to these responses, certain parts of the brain have also been implicated in the etiology of specific disorders, such as low levels of activity in the frontal cortex of individuals with ADHD or irregular patterns of amygdale functioning in individuals with autism spectrum disorders (Box 1.2). Box 1.2 Thinking Out Loud When considering the biological perspective, it is important to consider the principle of epigenesis, a concept that had its origins in biology but has been adapted by psychology to explain how interactions between organisms and their environment can transform both entities in the process. There are two variations on the theme of epigenesis: deterministic epigenesis and probabilistic epigenesis. Deterministic epigenesis was a concept that was originally supported by such theorists as Freud and Erikson who believed strongly that developmental stages were predetermined and that there was a direct link between biology (genes) and structure (behavior) such that biology was destiny. However, more contemporary theorists, such as Gottleib (2007), support a probabilistic epigenesis approach which speaks to the theory that “there are bidirectional influences” (p. 1), such that biology is not destiny because one can reduce the impact of a genetic inheritance (e.g., heart problems) by intervening in the process (e.g., taking medications to reduce cholesterol and changing exercise and diet). Within the probabilistic epigenetic framework, biology is not necessarily destiny (Greenberg & Partridge, 2003). The influence of genetics in placing individuals at risk for specific disorders, such as depression, anxiety, and schizophrenia, has been well documented in research, while specific types of child temperament have also been implicated in regulating individual responses to positive or negative environmental stimuli (Fox, Snidman, Haas, Degnan, & Kagan, 2015; Kagan, 1992). Temperament involves individual differences in reactivity evident in responses related to motor, affective, autonomic, and endocrine functions and self-regulation resulting from processes and behaviors that serve to moderate reactivity, such as approach, withdrawal, attention, attack, inhibition, and self-soothing (Kagan, 2003, p. 8). Therapeutic implications: M any biologically based treatments rely on medical management to regulate chemical imbalances due to faulty neurotransmitter production. M edications for depression often seek to correct for low levels of serotonin either by blocking the reuptake of serotonin (selective serotonin reuptake inhibitor, SSRI medications) or by blocking the reuptake of serotonin and norepinephrine (serotonin-norepinephrine reuptake inhibitor, SNRI medications) (Box 1.3). Box 1.3 Thinking Out Loud Biological correlates of isolation: Results of a neuroimaging study have found that the anterior cingulate cortex (ACC), which is activated during physical pain, is also activated in response to distress caused by social exclusion and rejection (Eisenberger, Lieberman, & Williams, 2003). The researchers suggest that these neural connections may be part of the social attachment survival system to promote the goal of social connectedness. In addition, studies of attachment patterns have implicated neural pathways in the cognitive-affective processes that generalize internal working models (IWMs) from interactions with caregivers to other social situations. White et al. (2012) suggest that in situations of social interactions or stimuli, there are differences in the activation of reward and approach-related circuitry (e.g., left frontal activity) in the brains of those with secure attachment patterns relative to those with insecure attachment patterns. White et al. (2012) theorize that “Securely attached individuals learn to anticipate (and elicit) support from others owing to similar past experiences with caregivers. Conversely, insecurely attached children, whose parents are thought to be on average less sensitive and responsive to bids for comfort,… may develop corresponding beliefs of others as less supportive during distress and themselves as, essentially unwantable” (p. 691). Case Formulation Based on the Behavioral Perspective According to M ash and Terdal (1997), the behavioral systems assessment (BSA) is a “functional/utilitarian approach” to the assessment of children and families that closely adhere to the broader meaning of diagnosis as “an analytic informationgathering process directed at understanding the nature of a problem, and its possible causes, treatment options and outcomes” (pp. 11–12). In direct contrast to psychodynamic theories, “BSA is more often concerned with behaviors, cognitions and affects as direct samples of the domains of interest” rather than attempting to speculate about “some underlying or remote causes” (pp. 11–12; emphasis added). There has been increased focus on the use of BSA practices and strategies in the decision-making process (Cipani & Schock, 2007; La Greca & Lemanek, 1996). For example, functional behavioral assessments (FBAs) are routinely conducted in the schools (Plotts & Lasser, 2013) with the goal of developing behavioral intervention plans (BIPs) that often focus on increasing “on-task behaviors” (as in the case of children with ADHD) or increasing “compliance” (as in cases of children with ODD). It has been debated by some that FBA is a better approach to intervention planning than classification of disorders by either the dimensional or categorical systems (Cone, 1997; Haynes & O’Brien, 1990). An example of the FBA approach can be found in this chapter, in the case of Jeremy Jones, where issues of noncompliance are addressed in a program designed to increase compliance. Proponents of BSA/FBA argue that the problem-solving strategy inherent in this approach provides a flexible system of hypothesis testing that includes diagnosis, prognosis, treatment design, and treatment efficacy/evaluation (Cipani & Golden, 2007; M ash & Terdal, 1997). The continuity between conducting the BSA/FBA and developing the BIP are emphasized by proponents of the system (M ash & Terdal, 1997; Wielkiewicz, 1995). The behavioral framework consists, at its basis, of a fourstage process to identify the problem, analyze the problem, implement a plan, and evaluate the plan. From the behavioral perspective, behavior is learned in one of three primary ways: classical conditioning, operant conditioning, or modeling (observational learning). Classical conditioning occurs when a normally neutral stimulus takes on a positive or negative connotation due to association with another stimulus which has the power to trigger a reflexive response. Classical conditioning is not voluntary and occurs often beyond our control. Phobias are a very good example of irrational fears that have been classically conditioned. For example, fear of flying can result from an experience of flying under turbulent conditions. In this case, the airplane is initially a neutral stimulus (NS) which evokes a neutral response (NR); e.g., I see the plane as a means of transportation. However, on one particularly turbulent flight, I am extremely fearful that the plane is going to crash, and when I finally land, I get off the plane, vowing never to fly again. Now, the plane has been changed from a neutral stimulus to one that I am afraid of. In this situation, the plane has been associated with “bad plane” because it caused me to be very “fearful.” In the moment of flight, bad plane (US: unconditioned/automatic stimulus) was linked to bad flight (UR: unconditioned/automatic response). Now the next time I look at a plane, I don’t think of it a means of transportation, as I initially did, I now think of crashing and dying. So the plane has now become a conditioned stimulus (CS) which elicits the conditioned response (CR) of fear (see Figure 1.1). In this case, it is also likely that if offered a ride in a hot-air balloon, I would also turn that down, since my fear would generalize to all airborne systems of transportation. This conditioning paradigm is actually used to explain and decondition phobias in an exposure therapy called systematic desensitization where a fear hierarchy is developed and relaxation techniques are paired at each step in the hierarchy until the phobia is extinguished (see Figure 1.2). Description Figure 1.1 Classical Conditioning of Fear of Flying Description Figure 1.2 Example of Exposure Therapy (Systematic Desensitization) to Decondition Fear of Flying Rather than a reflex response, operant conditioning serves to increase our tendencies to produce or inhibit behaviors based on our experiences with rewards and punishments. If I produce a behavior and it is reinforced (rewarded), then my chances of repeating that response increase, accordingly. If I produce a response and I am punished, then the chances of me repeating that response decrease, accordingly. In operant conditioning, reinforcement can occur in two ways: (1) I can be rewarded positively by the addition of some positive consequence, for example, money or candy, or (2) I can be rewarded by the removal of something negative— for instance, if I do a good job on my school work, I do not have to serve a detention after school to finish my school work (this is referred to as negative reinforcement because it involves the removal of a negative consequence). Punishment, which always serves to reduce a response, can also be applied in two ways: (1) I can apply a direct adverse consequence for bad behavior (hitting, shocking, slapping) or (2) I can be punished by the withdrawal of something I value, such as removal of privileges. Examples of reinforcement and punishment are illustrated in Figure 1.3 (Box 1.4). Description Figure 1.3 Increasing and Decreasing Behaviors With Reinforcement and Punishment Box 1.4 Thinking Out Loud According to Cipani and Golden (2007), “In a functional behavioral treatment, the function of the presenting problem needs to be disabled, while an alternate function (that is more acceptable) needs to be enabled. To determine how such consequences should be altered, a behavioral case formulation, relying heavily on ascertaining the social and environmental function of the presenting problems, is needed” (p. 539). In their case presentation, Cipani and Golden discuss a case of avoidant behaviors (academic tasks) manifesting in aggressive responses. The case concerns a severely disruptive boy, in the third grade, who was placed on home instruction due to violent outbursts in the classroom. The child had a history of abuse resulting in lack of attachment, poor emotion regulation, and an inability to perform academically. In this case, it was crucial to reduce the academic load (difficulty level) and reward success with stars that were later traded for time volunteering in the first grade class (a teacher with whom he had a very good rapport), which served as a positive reinforcement. This combination proved successful, and after 3 months, the child was attending school on a regular half-day basis. Understanding how reinforcement and punishment can be effective consequences on behavioral outcomes can provide powerful tools to institute behavioral change. For example, schedules of reinforcement and objective observation techniques can be very helpful in developing BIPs that can be monitored and modified if needed (Box 1.5). Box 1.5 Thinking Out Loud Although M ash and Terdal (1997) argue against narrowly contrasting BSA with more traditional assessment approaches, they do suggest some fundamental conceptual differences between the two approaches. The BSA approach tends to focus on state (situation-specific patterns of behavior) versus trait (underlying personality dynamic) characteristics and ideographic versus nomothetic comparisons and places emphasis on stability and discontinuity over time versus consistency and stability of underlying causes. Finally, modeling behavior refers to learning a behavior from observing the behavior in others. Bandura’s classic experiment of the “bobo doll” is an example of this type of learning. Children who watched an adult hit a doll were more likely to imitate the same behaviors when they were placed in a room alone with the doll, demonstrating the power of observational learning. Therapeutic implications: Although many practitioners use cognitive behavioral therapy (CBT; combined therapy based on both cognitive and behavioral perspectives), there are situations that are very conducive to the use of a primarily behavioral focus. For example, school psychologists will often conduct an FBA to determine the antecedents and consequences of specific behaviors (ABC’s). Case formulations derived using the FBA approach provide information concerning the precipitating and maintaining factors inherent in a given behavioral pattern with the goal of developing an appropriate BIP to reduce negative and enhance positive behaviors (Plotts & Lasser, 2013). Children who experience various anxieties, fears, and phobias can benefit from the use of exposure techniques such as systematic desensitization and exposure and response prevention based on behavioral methods that gradually expose the child to the fearful situation/object while the child executes relaxation responses (e.g., deep breathing, mediation) that counteract fearful responses. In conducting a functional behavior assessment, Sattler (2014) emphasizes the need to determine what is maintaining the behavior (predisposes the individual to repeat the same behavior) by examining events in the environment that occur prior to the behavior (antecedent events) and those that occur as a result of the behavior (consequences). There are a wide variety of possible antecedent events, such as social acts (a student may feel rejected by others) or activities (teacher has instructed the student to read a passage out loud in front of the class) that can serve as a trigger to a given behavior (child acts out and is removed from class). The key is to identify the functions of behavior, e.g., “what works for an individual in a given context” (p. 415). Sattler (2014) provides a seven-step guideline for conducting an FBA, including the following: define the problem behavior; perform the assessment; evaluate the assessment results; develop hypotheses; formulate a behavioral intervention; implement the intervention; and evaluate the effectiveness (pp. 416–417). The crucial step in this framework is the fourth step, “formulating a hypothesis to account for the problem behavior” (p. 419). Sattler suggests an extensive 16-point plan to assist practitioners in achieving their goal, including noting the type of behavior; where the problem occurs; when the problem occurs; characteristics of the antecedent events/conditions and setting; consequences; relevant student background factors; relevant environmental background factors; functions and goals (escape, attention, control, self-regulation); student’s reactions; others’ reactions; level of teacher/parent understanding of the nature of the problem behavior; student’s attitude about the learning environment; student’s attitude about his/her parents; student’s cognitive and motivational resources for coping; and student, family, school, and community strengths and resources (pp. 419–420). Case Formulation Based on the Cognitive Perspective Negative appraisals can be part of the maladaptive thought processes inherent in a bias to interpret situations and behaviors in a negative way (Beck, 1997, 2002). These negative attitudes produce errors in thinking, such as minimizing the positive and accentuating the negative, which can be automatic and reflexive. For Beck, the cognitive triad refers to thought processes involving feelings of helplessness, hopelessness, and worthlessness. One potential outcome of this type of thinking bias is the development of learned helplessness, a behavior pattern based on tendencies to give up in the face of adversity (Seligman, 1975). Cognitive theorists today believe that learned helplessness is caused by a range of negative attributions that can be global or specific, blame internal or external causes, and are seen as stable or unstable (Abramson et al., 2002). Attributions that are global (“Nobody loves me”), internal (“Nobody loves me because I am worthless”), and stable (“No one will ever love me”) are the most likely combination to result in learned helplessness. Beck suggests that maladaptive and negative thought patterns often begin in childhood based on responses to negative treatment and evaluations within the context of their family. For example, research has demonstrated that compared to mothers who are not depressed, depressed mothers tend to be more inconsistent in their parenting, engage in less activity with their children, and exhibit more frustration (irritable, control, and impatience) in dealing with child problems (M alphurs, Field, Larraine, Pickens, & Pelaez-Nogueras, 1996; Box 1.6). Box 1.6 Thinking Out Loud Beauchaine, Strassberg, Kees, and Drabick (2002) questioned whether parents using ineffective and harsh methods of discipline fail to generate alternative solutions due to (1) an availability deficit (limited repertoire) or (2) an accessibility deficit (processing deficit during times of stress). In order to enhance treatment efficacy, the authors stress the need to address both negative attributions and affect regulation in parent training programs. They suggest that negative parent attributions may undermine successful use of the skills taught. By the end of the preschool period, children have developed consistent expectations about their social worlds and act accordingly (M ain, 1995; M ain & Hesse, 1990). Studies have demonstrated that children’s faulty reasoning about their social relationships can influence inappropriate behavior (Hartup & Laursen, 1993) and can be reinforced by adult responses to child behavior patterns. Research suggests that adults respond with less-than-positive reactions to children who present as “difficult” to manage (Bugental, Blue, & Lewis, 1990), and that these adult responses can set the stage for a further extension of the child’s belief system. Beauchaine et al. (2002) found that parents of children with poor relationship skills were especially deficient in providing solutions to issues of noncompliance, especially when required to do so under pressured conditions. The authors recommend the need for treatment plans to target the underlying processes of negative attribution bias and affect regulation, which they suggest are the pivotal factors that drive coercive parenting patterns. Therapeutic implications: Therapists who use cognitive techniques target maladaptive thinking patterns in order to increase an individual’s ability to recognize and “reframe” or “restructure” negative thoughts into more positive and healthy alternatives. Some common maladaptive patterns are overgeneralization, minimization (of positives), or magnification (of negatives) and all-or-nothing thinking. For example, if Sally cancels our movie date, I might think to myself: “This always happens to me”; No one wants to be with me,” or on a more positive note, I might think “I guess something came up and Sally had to cancel.” Cognitive programs often include homework assignments that target day-to-day experiences of negative thought–inducing situations and exercises on how to restructure negative thoughts into more positive interpretations. Social skills programs that target problems in social information processing are also helpful in direct instruction of social information processing techniques such as encoding social cues, clarifying social goals, appropriate response selection, and monitoring of the consequences of social actions and reactions (Dodge, 2000). Cognitive Behavioral Therapy Although it is possible to provide therapeutic interventions based on cognitive or behavioral perspectives, practitioners often combine methods in an approach that focuses on the behaviors and thoughts that drive the behaviors, simultaneously. CBT seeks to facilitate positive integration of thoughts and behaviors. In their recent meta-analyses, Weisz, Doss, and Hawley (2005, 2006) found that the most common treatment approaches included some form of behavior or learning approach, and that among these, CBT was the most frequent treatment for depression. In an earlier study, Weisz et al. (1995) found that an 8-session schoolbased group CBT program was effective in reducing symptoms of depression, relative to a wait list control group. The program focused on activity scheduling and increasing the likelihood of positive reinforcement. A comprehensive CBT program developed by Stark et al. (1996) emphasized ways to promote positive mood and decrease negative thought patterns using individual and group formats. Individual sessions provided an opportunity for children to discuss topics that may be too embarrassing to bring up in the group, while group sessions allowed for practice in developing social skills within a safe social context. M ore recently, Esbjørn et al. (2015) evaluated the use of case formulation for CBT in children (7–12 years of age) with anxiety disorders, under conditions of having parents either as “cofacilitators” or “coclients.” Comparing the success rates to children’s success rates reported for those who received therapy by manualized treatment programs, they found that the case formulation approach to be as successful. They found no difference in whether parents were enrolled as cofacilitators or coclients. Social Learning Theory Social learning theory is another theoretical framework that combines cognitive learning theory (learning is influenced by psychological factors) and behavioral learning theory (learning is based on responses to environmental stimuli). Bandura, who was most interested in observational learning or modeling integrated these two theories, suggested four pivotal requirements for learning in the social learning model: observation (environmental), retention (cognitive), reproduction (cognitive), and motivation (both) (Box 1.7). Box 1.7 Thinking Out Loud Coercion theory came out of the larger behavioral perspective of social learning theory which at its core has the belief that social relationships are maintained through rewards and positive reinforcement. However, in nonrewarding or aversive social situations, the outcome can be negative, resulting in conflict. While reciprocity and positive social exchange are the outcomes of positive reinforcement, negative exchanges can give way to coercive and aversive reactions that attempt to exercise control over the behavior of the other. Patterson (1982) felt that parents were often responsible for unknowingly reinforcing coercive behavior patterns in their children through acts such as repetitive yelling and nagging when a child continues to be noncompliant, until the parent reaches the point of exhaustion, at which point the parent gives in to the child and the child’s aversive responses are reinforced through negative reinforcement. Children soon learn that if they misbehave long enough, they will eventually be able to control their parents and get their way. Dumas, LaFreniere, and Serketich (1995) observed interactive control exchanges in dyads involving mothers and children (2.5–6.5 years) who were socially competent, aggressive, or anxious. The exchanges between competent children and their mothers were positive and reciprocal with firm limit setting regarding coercive attempts. Although aggressive children and their mothers engaged in relatively positive exchanges, there were frequent attempts by the children to gain coercive control and poor ability of the mothers (inconsistent and indiscriminant attempts) to effectively manage more extreme forms of coercive behaviors. Exchanges between anxious children and their mothers were predominantly aversive, with mothers using coercive methods, and being unresponsive, and children responding by being resistant and coercive. The study demonstrated that behavior patterns were influenced by both members of the dyads. Case Formulation Based on Psychodynamic and Attachment Perspectives From a psychodynamic perspective, individuals must come to terms with three components of their personality: the id (primitive impulses of the libido); the superego (conscience); and the ego, which evolves over time (reality principle). Freud believed that individuals were only aware of a very small portion of their motives and beliefs because the vast majority was hidden from awareness in the subconscious recesses of their minds. Unconscious conflicts would result in individuals developing fixations or regressions to earlier psychosexual stages (oral, anal, phallic, latency, genital) based on earlier unresolved issues, while the ego was often protected through the use of defense mechanisms, such as denial, regression, and repression. Erikson expanded Freud’s theory to include psychosocial stages defined by tasks that were to be mastered by certain developmental levels across the life span. The development of individual identity requires that the individual separate from and develop a sense of self unique to the caregiver. M ahler, Pine, and Bergman (1975) describe this process of separate individuation as a crucial developmental milestone in the first three years of life, culminating in the rapprochement phase, in which the toddler resolves the dilemma of independence without vulnerability by developing a sense of object constancy (the caregiver is a secure source of comfort). Erikson’s first stage (trust versus mistrust) and M ahler’s sense of object constancy provide pivotal points in development of secure attachment relationships which was later expanded by Bowlby and Ainsworth in their theories revolving around issues of attachment. Ainsworth et al. (1978) conducted a series of experiments involving separation and reunion between mothers and infants, called the Strange Situation experiments. As a result of these studies, two broad categories of responses defined the areas of secure versus insecure attachment. In the secure attachment situation, although infants protested their mother’s leaving, they were able to be soothed by the mother upon her return. Infants who were insecurely attached responded to mother’s leaving and reunion in two different ways. Infants who were “anxiously attached” or “anxious/resistant types” were distressed upon mom’s leaving but were unable to be soothed upon her return, often responding with continued distress evident in arching their backs or crying and squirming. Others, labeled “avoidant attachment,” responded to mom’s leaving and return by ignoring both events. Later, M ain and Weston (1981) added a fourth category “disorganized/disoriented attachment,” which they discovered in their work with abused children. These children displayed atypical patterns of inconsistent and contradictory (approach and avoidance) behaviors and volatile emotions. Studies of the outcomes of attachment styles have reasoned that these early patterns may result in embedded templates for future relationships (internal working model, IWM), since studies have found that children who are securely attached are more independent and better problem-solvers than their insecure peers (Sroufe, 2002) who are at risk for self-representations that see the self as “unlovable and unworthy” (Cicchetti & Toth, 1998). Bowlby’s interest in the evolutionary importance of infant–caretaker relationships initially envisioned “survival” as the goal to maintaining proximity to the caregiver. He later combined psychoanalytic and ethological insights into a theory of socioemotional development which envisioned early experiences with attachment figures becoming later canalized as emotional responses to others through reference to resulting cognitive representations (internal working model, IWM ) of attachment relationships acquired during this early period (Cox, 2013). However, in the early 1970s, debate began regarding whether insecure attachment was the result of impaired attachment due to insensitive early caregiving or the result of differences in child temperament. Kagan and Snidman (2004) found that motor activity at 4 months of age (low or high reactive) predicted social engagement that remained stable at 2 years of age. Children who were highly reactive to stimuli were socially inhibited, while those that demonstrated low levels of reactivity were socially engaged. However, even in these longitudinal studies, the extremes of behavior noted at an early age modified over time, suggesting the importance of environment as a moderating condition. Greenberg (1999) has embedded attachment theory in an ecological developmental framework to explain psychopathology resulting from the interplay of factors evident in the child, parent, and environmental context. Drawing on principles of equifinality (different pathways may lead to the same disorder) and multifinality (similar disorders may produce multiple outcomes), Greenberg builds his model drawing on four underlying processes found in theoretical models of attachment: IWM , neurophysiology of emotion regulation, observed behaviors, and functional motivational processes. The degree of security/insecurity inherent in primary attachment relationships provides IWM or templates for all future relationships (Ainsworth et al., 1978; Belsky, 1988; Bowlby, 1982). While secure attachments can be a protective factor, insecure attachments may place the child at increased risk for developing problems. According to Greenberg, neurological findings (neurophysiology of emotion regulation) suggest that humans require positive experiences of resolving fearful situations to allow for a buildup of brain structures that help to regulate responses to anxiety and fear-producing situations (Siegel, 1999). In dysfunctional attachment relationships, caregivers are not a source of assistance in the regulation of emotion and can become a source of threat. Deficits in the acquisition of mechanisms to regulate emotions result in an inability to self-soothe when upset, thereby reducing the ability to cope in stressful situations. As far as observed behaviors are concerned, Greenberg suggests that avoidance behaviors may serve an instrumental role in the attachment process by acting to control and regulate caregiver proximity and attentiveness. Ultimately, maladaptive attachment patterns can help explain the functional motivational processes that can negatively influence social orientation and subsequent prosocial competencies, including poor social adaptation and withdrawal from social contact. Secure attachments can lead to better understanding rather than avoidance of negative emotions (Laible & Thompson, 1998). M ore recently, studies have investigated whether differences in attachment strategies may represent differences in how the brain processes sensory information (Strathearn, 2006). Longitudinal studies have demonstrated that adult attachment patterns, such as those measured by the Adult Attachment Interview (AAI: George, Kaplan, & M ain, 1996), can reliably predict maternal caregiving patterns, which in turn can predict subsequent social/emotional development (Sroufe, Egeland, Carlson, & Collin, 2005) and attachment (Shah, Fonagy, & Strathearn, 2010; van IJzendoorn, 1995) in the offspring (Box 1.8). Box 1.8 Thinking Out Loud The AAI classifies attachment into categories of secure attachment and insecure attachment. Insecure attachment is further classified as either dismissing or preoccupied. Studies have linked the dismissing type of attachment with difficulties in adolescence in areas of seeking support (overly self-reliant), tendencies to withdraw, lack of trust in others, and weaker social skills (Allen et al., 2002; Larose & Bernier, 2001), while adolescents with the preoccupied type of attachment evidence externalizing traits associated with delinquent activities such as the use of violence and aggression toward the self or others (Bakermans-Kranenburg & van IJzendoorn, 2009). Strathearn (2011) provides an overview of maternal caregiving behavior that draws on neurobiological sources to help explain maternal neglect. He specifically addresses how “the oxytocinergic and dopaminergic systems” interact to inform the mother how to interpret cues from the infant and how to subsequently respond to those cues. It is his suggestion that oxytocin may be responsive for activating the dopaminergic reward pathways in response to social cues. Strathearn supports his theory with research evidence that mothers who have insecure/dismissing attachment patterns (which have been associated with emotional neglect) evidence “reduced activation of the mesocorticolimbic dopamine reward system in response to infant face cues, as well as decreased peripheral oxytocin response to mother– infant contact” (p. 1054). Furthermore, Strathearn (2011) hypothesizes from an epigenetic perspective that “attachment” patterns may be transmitted intergenerationally, mediated by maternal responses to infant cues that are determined at a neuroendocrine level. The fact that levels of oxytocin and dopamine can be inherited also sets the stage for future patterns of similar types of insecure attachment and future responses to situations that are stressful or those that rely on social engagement. According to Strathearn (2011), “from the emerging field of epigenetics, we are beginning to understand how the caregiving environment may influence the development of biological systems and behavioral phenotypes, via stable changes in the regulation of gene expression” (p. 1057). Therapeutic implications: Therapeutic attempts to improve the attachment relationship have remained largely rooted in a psychodynamic approach and have focused primarily on infant–parent psychotherapy (see Lieberman & Zeanah, 1999, for review). M any of the programs are lengthy due to the emphasis on building a therapeutic working alliance with the therapist and the need for extensive ongoing assessments of child–parent or child–caregiver (foster care) interactions and family circumstances. Observations and discussions of joint play provide opportunities for insight-oriented dialogue designed to assist parents in acquiring more appropriate perceptions of their child and developing interactional patterns that have greater empathic attunement with the child’s needs. Based on the belief that obstacles to attachment can occur on several levels (infant, parent, environment), therapeutic goals in these programs are to determine the nature of the obstacles blocking attachment (individual differences) and to design treatment to address these specific areas (Zeanah et al., 1997). The Seattle Program, developed by Speltz and colleagues (Greenberg & Speltz, 1988; Speltz, 1990), is a parent training program to assist families of children with insecure attachment that melds attachment theory with a cognitive behavioral approach. The program focuses on communication breakdown in the parent–child dyad and emphasizes the need for better “negotiation skills.” The four-phase intervention program includes components of parent education, reframing of the child’s behaviors within a developmental framework, limit setting and problem prioritizing, and communication/negotiation skills. Although the realm of the unconscious renders many of the psychodynamic therapies without empirical support, the application of psychodynamic principles to play therapy has revealed success of a program, psychodynamic developmental theory of children (PDTC), for children with behavioral issues (Fonagy & Target, 1996). The program has been successful in increasing skills in areas of selfregulation of impulses, capacity to play effectively, and awareness of others (Box 1.9). Box 1.9 Thinking Out Loud The foundations of psychodynamic theory are rooted in uncovering the internal and often unconscious processes that drive an individual’s behaviors and the IWM responsible for a weakened sense of ego development. As such, the psychodynamic approach is not an easy fit with empirical research. While M esser (2000) has called for the development of databases for case-based research to remedy this problem, Fonagy, Target, Cottrell, Phillips, and Kurtz (2002) have provided empirical support for the PDTC approach, which has an 85% success rate for internalizing disorders. Thinking outside the box: Strathearn (2011) compared secure and insecure mothers’ responses to facial pictures of their infant and reunion with their infant after separation and found that mothers with an insecure/dismissing pattern of attachment may have impaired peripheral and central oxytocin production, which may help to account for the reduced activation of reward processing regions in the brain when presented with facial cues or opportunities for reunion with the infant. Based on results from rigorous experimental studies of the use of intranasal oxytocin in enhancing social responsiveness in areas such as social memory eye gaze and sense of trust, Strathearn is in the process of conducting randomized trials to investigate the potential benefits of intranasal oxytocin in enhancing maternal brain and behavioral responses in mothers with dismissing forms of attachment. Case Formulation Based on Parenting Style and Family Systems Perspectives Baumrind (1991) investigated parenting styles or the prevailing attitude and climate evident in the amount of structure and warmth parents provided in the process of parenting and the outcomes that the different styles had on children’s development. Baumrind (1966) suggested three primary parenting styles that captured clusters of parenting behaviors and childrearing goals: authoritative parenting, authoritarian parenting, and permissive (indulgent) parenting. Later, M accoby and M artin (1983) added a fourth style, neglectful parenting. These parenting styles are characterized by emphasis on various combinations of warmth, demandingness or control, and autonomy granting, although the majority of research has focused on two of the dimensions: warmth and demandingness or control. The combinations evident in each of the styles are as follows: authoritative (high warmth, high control); authoritarian (low warmth, high control); permissive (high warmth, low control); and neglectful (low warmth, low control). The four different parenting styles are graphically illustrated in Figure 1.4. Description Figure 1.4 Schematic of the Four Types of Parenting Styles With Respect to Variables of Warmth and Control M ost recently, Baumrind, Larzelere, and Owens (2010) emphasized the distinction between the different types of demandingness or control exercised by parents using authoritative versus authoritarian parenting styles. Although both parenting styles are “demanding, forceful, and power-assertive,” the two styles differ in how they exert “power.” “Although both authoritative and authoritarian parents use confrontive discipline, which is firm, direct, forceful, and consistent, authoritarian parents differ from authoritative parents in that they also use coercive discipline, which is peremptory, domineering, arbitrary, and concerned with retaining hierarchical family relationships” (p. 158). While authoritarian parents are concerned with maintaining status as power, authoritative parents exercise control that is “reasoned, negotiable, outcomeoriented, and concerned with regulating behaviors.” In their study of the longitudinal effects of parenting practices, Baumrind et al. (2010) isolated five different types of coercive practices, including (1) unqualified power assertion, (2) arbitrary discipline, (3) psychological control, (4) severe physical punishment, and (5) hostile verbal criticism. The study compared the emotional health (low level of behavioral problems) and competency (social and academic achievement) of adolescents whose parents employed different types of parenting styles during the preschool period. Results revealed that adolescents reared by authoritarian power-assertive practices evidenced low communal competence, high internalizing problems, and low self-esteem, compared to adolescents reared by authoritative and directive parents who were prosocial and well adjusted. In most situations, the authoritative parenting approach (high structure and high warmth) is the desired practice and yields the best child outcomes. The authoritarian parenting style, although high on structure, is very low on warmth, and children raised in this type of household may become aggressive and uncooperative. Parents who are uninvolved provide little structure or warmth, and children are prone to develop a number of negative traits, including truancy. Permissive parenting provides warmth but minimal structure. Based on an avoidant attachment pattern and authoritarian parenting practices, parent–child dyads can be thrust into a hostile/helpless pattern, with one member of the dyad being the hostile aggressor and the other member becoming the passive, helpless, and overwhelmed recipient (Lyons-Ruth, Bronfman, & Atwood, 1999; Box 1.10). Box 1.10 Thinking Out Loud Is the authoritative parenting style the best style for all children, regardless of environment or culture? Research suggests that the authoritarian parenting style may actually be more suited to raising children who live in neighborhoods that are at increased risk for youth engaging in violent behaviors (Bradley, 1998). Studies have also demonstrated that regardless of culture, stress may be the key variable in moderating parenting style, with increased stress associated with increases in adopting an authoritarian parenting style (Sue & Hynie, 2011). Parenting style can also interact with other environmental conditions such as socioeconomic status (SES), with lower SES predictive of increased risk for negative child outcomes in areas of academics, behavior, and social difficulties (Dodge, Pettit, & Bates, 1994). However, studies that have included data on maternal education suggest that higher maternal education is associated with better child outcomes regardless of SES (Callahan & Eyberg, 2010; Box 1.11). Box 1.11 Thinking Out Loud THE EYE OF THE TIGER: WHAT IS TIGER PARENTING? The term “tiger parenting” made its way to North America when Amy Chua (2011), a Yale law professor, published Battle Hymn of the Tiger Mother. The term “tiger mother” originated in China and is well known in Asia. Chua chronicles how her Chinese heritage prepared her to raise her daughters with strict policies that were driven by the goal to succeed academically (be a straight A student). The girls were not allowed to watch TV, play games on the computer, or participate in sleepovers. As a result, Chua reasons they were highly successful academically and accomplished musicians. Although there are similarities between tiger parenting and authoritarian parenting, in the focus on adherence to strict rules and routines, tiger parenting also includes the positive element of “support” (Kim, 2013). In addition to parenting style, family systems theory has also influenced how we conceptualize the family unit as the focus of assessment and intervention. The family unit is composed of many subsystems: parent–child, marriage partners, siblings, extended family, and so on. Within families, behaviors are often directed toward maintaining or changing boundaries, alignment, and power. Often, a family’s degree of dysfunction can be defined by boundaries that are poorly or inconsistently defined or those that are too extreme (too loose or too rigid). Salvador M inuchin (1985), a proponent of structural family therapy, described several family patterns that can contribute to dysfunction. In enmeshed families, boundaries between family members are often vague, resulting in family members being overly involved in each other’s lives. According to M inuchin, enmeshed families (lacking in boundaries) may see a child’s need to individuate as a threat to the family unit. Triangular relationships are alignments between family members that serve to shift the balance of power and can include the parent–child coalition, triangulation (e.g., mother and sibling, versus father), and detouring (maintaining the child as the focus of the problem to avoid acknowledging other family problems, such as marital conflict). Research with a focus on the family systems model has been instrumental in developing treatment programs for children (Fosco & Grych, 2013) and adolescents (Grych, Raynor, & Fosco, 2004). Research has focused on such issues in children as the influence of family on emotion regulation and the role of parent conflict on children’s conflict appraisal (DeBoard-Lucas, Fosco, Raynor, & Grych, 2010; Fosco & Grych, 2013). Studies with adolescents have covered topics such as the impact of intraparental conflict on adolescents, family cohesion, and subjective well-being (Fosco, Caruthers, & Dishion, 2012; Grych et al., 2004). Treatment implications: Therapists can work with parents to better understand their parenting style and to understand the benefits of adopting a consistent parenting approach that more closely resembles the authoritative parenting style. Within the family systems approach, the family therapist would create an alliance by joining the family and observing family interactional patterns from the inside out. Once the problem has been formulated, the therapist works with the family to restructure the family interactions toward positive growth and change, such as repositioning the balance of power and improving problem-solving and communication. Several treatment programs have been developed that use family systems theory and principles in conjunction with other therapeutic models and techniques. The following is a discussion of just two of the main bodies of research in this area. Parent–Child Interaction Therapy (PCIT) is a parent management training (PM T) program that was developed for use with individual families to assist in addressing behavioral problems (oppositional defiant and other behavior disorders) in children 2–7 years of age (Eyberg, Nelson, & Boggs, 2008). The program focuses on two significant components: child-directed interaction (CDI) with a goal of enhancing the parent–child relationship and a parent-directed interaction (PDI) component that focuses on increasing child management strategies. PCIT is an evidence-based treatment model that integrates aspects of play therapy and behavior therapy, as well as social learning and family systems theories (Neary & Eyberg, 2002). The program typically involves 12–20 weeks of commitment. The program has been demonstrated to be effective in the treatment of a variety of behavioral problems and there is increasing evidence that the program is as effective when delivered in a group or individual format (Niec, Barnett, Prewett, & Chatham, 2016). The Oregon Model of family behavioral therapy had its beginnings four decades ago (Patterson, Chamberlain, & Reid, 1982) and over the course of time has seen the development of a number of intervention strategies that have been effective in alleviating behavior problems in children and adolescents. Currently, there are three models that have been developed to target needs in specific areas, including the Family Check-Up (FCU) model; Parent Management Training—Oregon (PMTO) model; and Treatment Foster Care—Oregon (TFCO) model (Dishion, Forgatch, Chamberlain, & Pelham, 2016). The Oregon group was one of four research initiatives using family behavior management strategies that spearheaded parent training programs based on core principles that emphasized the role of parents as training agents; observers and recorders of data; and managers of contingency programs. The research filled an important niche regarding how to assist parents in managing child behaviors in a way that would halt the development of problem behaviors into more serious forms of delinquency and antisocial behaviors. Observations that child outcomes were worse for children whose parenting practices were at either end of the discipline spectrum (overly lax or overly harsh) led Patterson (1982) to develop the coercion model based on coercion theory. Later research demonstrated that coercive cycles emerge slowly from repetitive patterns and cumulative interactions between infants who are very demanding and mothers who are unresponsive and detached. Over time, these demanding infant and disruptive toddler behaviors predict disruptive behaviors in childhood (Keenan & Shaw, 1995). The Parent M anagement Training Oregon (PM TO) model contains the underlying interventions and techniques that are used in all of the Oregon models, with a goal to reduce coercive parenting practices and to replace these with positive parenting, through the use of positive reinforcement, setting appropriate limits/discipline, monitoring/supervision, interpersonal problem-solving, and emotion identification and regulation (Dishion et al., 2016). Significant benefits of the PM TO have been documented empirically for youth in areas such as reduced noncompliance, reduced incidences of aggression on the playground and police arrests, and for parents in areas of decreased incidences of coercive parenting and increased use of positive parenting techniques (Forgatch & Patterson, 2010). The Family Check-Up (FCU) model was designed as an initial stage (intake) to assist families in distress and provide families with feedback concerning the family assessment conducted at that time. Involvement in FCU has been related to increased parental motivation and engagement in the parent training program and reduced coercive conflict as well as antisocial behavior (Stormshak et al., 2011; Van Ryzin & Dishion, 2012). The Treatment Foster Care-Oregon (TFCO) model was developed as an alternative to group homes or residential placements which have not been successful for a number of reasons (Wilmshurst, 2002), including possible iatrogenic effects (when treatments harm) of aggregating youth with similar problems increasing the opportunities for deviancy training (Poulin, Dishion, & Burraston, 2001). The program was developed for youth who can no longer be managed at home and involves the placement of these youth in special foster care homes under the supervision of foster parents who have been specifically trained in behavioral methods and the consistent application of supervision, modeling, and discipline. The youth are placed in the setting for 6–9 months until ready to be reunited with their family or other longer-term placement. Foster parents are provided with daily and ongoing support. Therapists also work closely with family members to provide parenting skills to enhance opportunities for success upon reunification. INTEGRATING THEORETICAL PERSPECTIVES: A TRANSACTIONAL ECOLOGICAL BIOPSYCHOSOCIAL FRAMEWORK Bronfenbrenner and the Contexts of Influence Bronfenbrenner’s (1979, 1989, 2005) ecological systems theory was developed to explain the importance of contextual influences on human development and provides an excellent framework for the integration of numerous theoretical perspectives. Bronfenbrenner depicts the child at the center of a series of concentric circles, each circle representing a level of influence. Interactions between the child and the environment are ongoing and transactional, such that changes at one level can influence changes at other levels. The direction of influence is bidirectional in that a child’s behavior can influence a parent and a parent’s behavior can influence the child. For example, in the interaction between the child and its parent, responses have a reciprocal influence and both can be altered in the process. Bronfenbrenner and M orris (1998) have suggested that the model might more appropriately be referred to as a bioecological model to emphasize biological characteristics in the dynamic and ongoing interplay between the child’s characteristics (biological and genetic) and the environmental characteristics (proximal and distal factors) (Box 1.12). Box 1.12 Thinking Out Loud In discussing the dynamic interchange between the child’s characteristics and environmental characteristics, it is important to revisit theories of epigenesis and the recent contributions to our knowledge from the field of neuroscience. Within the probabilistic epigenesis framework, individuals with the same genotype can have different neural and behavioral outcomes based on the dissimilarity or uniqueness of their relevant life experiences (Gottleib, 2007). The ecological transactional model (Bronfenbrenner, 1979; Cicchetti & Lynch, 1993) can provide an overarching framework for discussing ecological contexts “consisting of a number of nested levels with varying degrees of proximity to the individual” (Lynch & Cicchetti, 1998, p. 235). Initially, Bronfenbrenner proposed three levels of environmental influence: the microsystem, the exosystem, and the macrosystem. The microsystem represents the immediate environment and includes influences of family (caregivers and siblings), teachers, peers, neighborhood, and school settings. Next is the exosystem, which incorporates influences from more distal factors, such as parents’ employment and social economic status. The macrosystem is the outer rim that represents influences resulting from cultural beliefs and societal laws. Bronfenbrenner refers to the communication among factors within the microsystem as the mesosystem, which can be a very potent influence in the child’s ongoing success. Ultimately, a fourth dimension was added, called the chronosystem, which refers to the cumulative effect of one’s experiences over the course of a lifetime and includes environmental events and important life transitions (such as graduation, change of schools, divorce, birth of a sibling, etc.). Bronfenbrenner’s (2005) ecological system evolved into what he referred to as the Process–Person–Context–Time (PPCT) model comprised of four interrelated components, including developmental process (dynamic interactions/relationship between the individual and the context); person (the individual’s biological, cognitive, emotional, and behavioral characteristics); context of human development (the system of nested influences); and time (temporal aspects that moderate change over the course of development/chronosystem, such as ontogenetic time, family time, and historical time). Bronfenbrenner’s ecological systems theory is presented graphically in Figure 1.5 (Box 1.13). Description Figure 1.5 Bronfenbrenner’s Bioecological Systems Theory Box 1.13 Thinking Out Loud Mesosystem effects: If parents and teachers communicate regularly and share the same goals for the child, the potential for academic success will increase significantly. Conversely, poor communication between home and school has been associated with increased risk for academic difficulties. Similarly, if both parents share the same goals in their communications with the child, the child will benefit from the consistency in the message. Bronfenbrenner referred to the system of communication between influences in the child’s microsystem as mesosystem effects. A Transactional Ecological Biopsychosocial Framework: Risks and Protective Factors Bronfenbrenner’s model also provides an excellent framework for a discussion of risks and protective factors that can influence development on a number of different levels. Individual Person Bronfenbrenner (2005) considered the person to be at the core of the series of concentric circles. Each individual brings unique contributions to the developmental process in terms of their biological, cognitive, emotional, and behavioral characteristics. Research has demonstrated that from a very early age, as young as 4 months of age, temperament (reactivity and self-regulation) can predict social engagement at 2 years of age. Infants who demonstrated high-reactive traits were more likely to evidence shy, timid, and fearful responses to unfamiliar events in their second year (Kagan, 2003, 2004). Evidence of such inborn wiring has led Kagan to believe that different temperamental types are inherited by a distinct neurochemistry that affects the excitability of the amygdale and brain activation, with low-reactive children showing more activation on the left compared to right frontal activation, whereas the reverse was true for high-reactive children who later demonstrated behavioral inhibition (BI). Kagan also suggests that the inability to moderate stress may signal impairment in the GABA (gamma-amniobutyric acid) system which inhibits neural activation in stressful situations and allows individuals to regroup. The hypothesis about GABA malfunction is interesting since impairment in GABA is implicated in many anxiety disorders, and although BI is a temperamental factor, it shares many similarities with social anxiety disorder (SAD) (e.g., wariness, avoidance, and fear). Caouette and Guyer (2014) hypothesize that during childhood, atypical functioning in a number of areas of the brain (i.e., amygdala, basal ganglia, and prefrontal cortex) influences the tendency to develop a cautious approach to unfamiliar situations for individuals with inhibited temperaments. They reason that when children with BI enter adolescence, they are at increased risk for developing SAD resulting from a conflict between “increased desire for social reward and extreme fear of humiliation or embarrassment…a vulnerability moderated in part by a history of inhibited temperament” (p. 67). While Kagan believes that BI is directly related to temperament, Cassidy (1994) suggests that emotion regulation strategies (i.e., responses to events and circumstances meant to regulate emotions, through suppression or heightened expression of emotions) are related to an individual’s attachment style. Subsequent longitudinal studies (Schmidt, Nachtigall, Wuethrich-M artone, & Strauss, 2002; Seiffge-Krenke, 2006) conducted regarding insecure attachment patterns (e.g., avoidant/dismissing patterns or ambivalent/preoccupied patterns) have found that individuals with the dismissing pattern tend to consistently use strategies to minimize emotional connectiveness while increasing aggressive responses, compared to those with preoccupied patterns who tend to be more emotionally dependent and use more negative, ineffective emotional coping strategies. Within the area of attachment, Strathearn (2011) has suggested that the transmission of attachment patterns across generations may be mediated by the mother’s neuroendocrine responses to infant cues, which may in turn set the stage for infant development of similar patterns either genetically or through a social learning process which continues to influence the intergenerational transfer within an epigenetic framework. Strathearn (2011) discusses the strong link between social and parenting behaviors and biological mechanisms such as the oxytocinergic and dopaminergic neuroendocrine systems which is supported by evidence that women who report childhood emotional neglect show significantly reduced levels of oxycontin in their system. Support for the role of oxytocin in social information processing was recently demonstrated in a study of individuals with Asperger’s syndrome (AS). Individuals with AS process information about faces in the same region of the brain that others process information about objects. Domes, Kumbier, Heinrichs, and Herpertz (2014) found that a dose of oxytocin applied through a nasal spray enhanced facial emotion recognition and amygdala reactivity in adults with AS. Strathearn (2011) is currently investigating whether a similar procedure used on mothers who have low oxytocin levels might increase their positive social responsiveness to their infant’s cues. Other characteristics that can increase the risk for negative outcomes include male gender (Rutter, 1979), physical handicaps (Werner & Smith, 1992), and having a difficult temperament (Bates, Pettit, Dodge, & Ridge, 1998). Protective factors at this level include good intelligence; a positive self-concept; effective emotional and self-regulation; an outgoing style of social engagement; and easy temperament (Kitano, & Lewis, 2005; M asten & Coatsworth, 1998; Passer & Smith, 2004). Microsystem The microsystem encompasses the most proximal influences, including the child, family, school, peers, and neighborhood. It is at this level of influence that we see how the process of development unfolds, for better or worse. In an environment of positive and supportive influences, the child learns to trust, develop a secure attachment to the caregiver, and construct an internal working model (IWM ) that will serve as a blueprint for social relations with other individuals inside the family (siblings, extended family) and outside the family context (teachers, peers, coaches, and mentors). However, inadequate, inconsistent, or inappropriate parenting styles, poor monitoring of child behavior, peer rejection, or other adverse experiences can have a profound effect on development. While children who experience risks in their immediate environment (microsystem) are prone to developing externalizing problems, disturbances at the exosystem level—for example, family hardship—can increase the risk for internalizing problems (Atzaba-Poria, Pike, & Deater-Deckard, 2004). We also know that the number of risks experienced can add significantly to the overall risk. For example, the combined effect of social maladjustment and poor academic achievement can result in a multiplier effect that can have a fourfold increase in the risk for long-term adjustment problems relative to the presence of only one risk factor (Burchinal, Vernon-Feagans, & Cox, 2008; Sameroff & Fiese, 2000). Egeland and Sroufe (1981) found that within the immediate environment (microsystem), having an anxious and insecure attachment pattern can place a child at risk for maltreatment (anxious attachment), while an avoidant attachment pattern can increase the risk of physical abuse or having a parent that is emotionally unavailable. The interaction between biological and environmental factors has also been suggested as a possible mechanism for exacerbating the outcomes of having a temperament high in BI evident in extreme tendencies to avoid social situations. Williams et al. (2009) investigated the role of BI and parenting styles on externalizing and internalizing behaviors in children 4, 7, and 15 years of age. The researchers found that at 4 years of age, children with BI had the most internalizing problems if they were also exposed to a permissive parenting style, while being exposed to an authoritative parenting style reduced internalizing problems over time (Box 1.14). Box 1.14 Thinking Out Loud Remember from a biopsychological and probabilistic epigenesis perspective, it has been proposed that attachment can also be influenced intergenerationally and that “attachment” or “lack of attachment” messages may be sent to infants by mothers based on neuroendocrine responses (oxytocinergic and dopaminergic neuroendocrine systems) to infant cues that shape caregiving behavior. This dynamic, in addition to any genetic variation, may also influence the infant’s neuroendocrine development and set the stage for infant behavioral response patterns (Strathearn, 2011). Risk and protective factors can be conceptualized along a continuum where a factor can be considered a risk if it is at one end of the spectrum and a protective factor at the opposite end (M asten & Powell, 2003). For example, while having a positive self-concept can serve as a protective factor and buffer a child from harm, having a poor self-concept can increase the risk for negative outcomes. Family dynamics and family context can influence development on a number of levels, including a child’s ability to regulate emotions. Fosco and Grych (2013) found that while maternal warmth and sensitivity and having a positive family climate were predictors of the development of positive skills in areas of emotion regulation, interparental conflict was associated with weaker development of emotion regulation in children. Grych et al. (2004) found that for adolescents, a close relationship with their fathers acted as a protective factor and was related to reduced symptoms of maladjustment. DeBoard-Lucas et al. (2010) investigated the relationship between interparental conflict and child self-blame in 150 8–12-yearolds and found that a mother’s coercive or controlling and emotionally unsupportive parenting significantly increased the association between conflict and child selfblame, while emotionally supportive parenting practices and secure attachment with fathers reduced tendencies for child self-blame regarding interparental conflict. DeBoard-Lucas et al. (2010) concluded that “supportive responsive parenting can buffer the effects of interparental conflict on children by reducing self-blaming attributions for parental discord” (p. 163) (Box 1.15). Box 1.15 Thinking Out Loud While social difficulties can increase the risk for negative outcomes, such as school dropout and delinquency (Blum et al., 2000), gender can make a difference in the nature of these risks. Girls who feel isolated and are without friends are twice as likely to engage in suicidal ideation as girls who belong to a social circle. While girls are protected from suicide by a supportive and cohesive network, for males, sharing activities with friends was a protective factor (Bearman & M oody, 2004). Parenting style has also been implicated in influencing child behaviors for better or worse. Baumrind’s (1991) work on parenting styles has inspired several studies that have provided support for the notion that authoritative parenting (emphasizing high degree of warmth and democracy/negotiation, with a focus on encouraging autonomy by combining high warmth with high control) has been associated with positive child outcomes in areas of self-esteem and academic achievement. In their study of over 350 mothers of fourth graders, Fletcher, Walls, Cook, M adison, and Bridges (2008) found that authoritative and authoritarian mothers were less likely to yield to coercive tactics than indifferent or indulgent mothers. In addition, within authoritarian families, tendencies to yield to coercive patterns of behavior resulted in increased problems in areas of internalizing and externalizing, as well as social skills. Within indulgent parenting styles, greater use of punitive discipline was associated with more externalizing problems, while within the authoritarian group more internalizing problems were evident. Adverse child experiences (ACEs) can include exposure to such negative circumstances as neglect, abuse, domestic violence, and maternal depression and can place children at increased risk for developing a number of negative outcomes. Clarkson Freeman (2014) examined the prevalence of ACEs and the emotional/behavioral outcomes among children (birth to 6 years) in a large national sample using data from the National Survey of Child and Adolescent Well-Being (NSCAW, 2014). Results revealed that 70% of the sample had experienced at least three ACEs and that exposure to three or more ACEs increased the risk of internalizing problems more than four times, while increased risk for externalizing problems was almost four times greater. As a result, Clarkson Freeman advocates for increased screening and early intervention. Using data from the Adverse Childhood Experiences Study (ACE, 1998), a retrospective investigation of adult reports of early adverse experiences, Anda et al. (2006) report on a number of changes in stress-responsive neurobiological systems as well as brain structure and function resulting from exposure to ACEs. Results support other investigations of impaired memory of childhood experiences. The researchers found that as the ACE score increased, impairment in memory increased, suggesting dysfunction in the hippocampus, as well as impairments in other neurological areas, including “the amygdale, medial prefrontal cortex, and other limbic structures associated with anxiety and mood dysregulation following early abuse” (p. 181). Exposure to violence (ETV) is highest among ethnic minorities, lower SES youth, and those living in inner cities (Buka, Stichick, Birdthistle, and Earls (2001) and has been associated with increased risk for engaging in violent behaviors (Richters, 1993). As many as 27% of African American youth who have experienced repeated ETV have symptoms of PTSD (Fitzpatrick & Boldizar, 1993). However, risk factors seem to be highest for street children (children socialized into their street role at an early age) compared to nonstreet children (parents take a more supportive role and monitor their activities) who are better equipped to survive in a conventional world (Jarrett, 1998). Case studies in Chapter 7 will discuss some of the outcomes of different ACEs (Box 1.16). Box 1.16 Thinking Out Loud M axfield and Widom (1996) found that 49% of children who were victims of abuse or neglect were arrested for any nontraffic offense, compared to controls (38%) or committing a violent crime (18% versus 14%). Almost half of the victims of abuse and neglect were arrested for nontraffic offenses by the time they were 32 years of age. Protective factors in the family that can assist in buffering a child in adverse circumstances include secure attachment; at least one parent or caregiver who is nurturing and emotionally supportive, who provides firm limits and boundaries; authoritative parenting style; parental monitoring; and structured family routines (Alvord & Grados, 2005; Bee & Boyd, 1999; Kerr & Stattin, 2000; Luthar, 2006; M asten, Cutulti, Herbers, & Reed, 2009; Rak & Patterson, 1996). Other protective factors at this level that can influence positive development include role models outside the family that act as potential buffers; friendships with prosocial peers; a positive school environment; and involvement in afterschool and extracurricular activities (Alvord & Grados, 2005; M asten, 2007; Rak & Patterson, 1996; Box 1.17). Box 1.17 Adv erse Child Experiences and the Brain Alvord and M cEwen (2013) discuss why early adverse experiences can alter brain activity due to what they refer to as “biological embedding” resulting from gene– environment interplay that in a sense programs the individual to respond to stressors both internal and external in a certain way. However, they also suggest that it is possible that “adaptive calibration” (e.g., extreme conditions early in life can alter neural and physiological patterns) may have a protective effect in preparing an individual to function better in the expected extreme environment (e.g., an individual living in high-risk and chaotic conditions may become more vigilant and anxious and better able to adapt to a high-risk situation than an individual living in a secure environment who is thrown into adverse conditions). Exosystem The exosystem involves the influences of the community and social institutions (such as government and health care) and prevailing economic conditions (such as employment conditions, inflation rates, and poverty). According to a recent report by the Children’s Defense Fund (CDF, 2014), 21.1% of children were living in poverty (defined as a family of four earning less than $2,019 a month, $466 a week, or $66 a day), while 11.4% were living in extreme poverty (living below half the poverty level). Black and Hispanic children are among those living in the highest rates of poverty, with approximately two in five Black children and three in ten Hispanic children living in poverty in 2014, compared to one in eight white children (Box 1.18). Box 1.18 Thinking Out Loud Children living in poverty are at increased risk for abuse or neglect (22 times more likely), poor health (5 times more likely), and have absences from school in excess of 1½ times compared to those not living in poverty (M axfield & Widom, 1996). Protective factors that have been found to exist at this level include availability of economic support for families and good public health care (Alvord & Grados, 2005; Wright & M asten, 2005). Macrosystem The macrosystem is the level of influence that relates to cultural factors or changes in policy that may impact large institutions, such as schools and businesses, on a grand scale. Research concerning the effect of culture on parenting practices has received increased emphasis in the past decade. A large body of research has been accumulated on outcomes associated with the parenting styles, as originally proposed by Baumrind (1966). The authoritative parenting style was initially thought to be the best style of parenting for all parents. M ore recently, inclusion of cultural influences in dynamics of parenting has suggested that, although this form of parenting can serve as a protective factor for a wide variety of children, its influence is most strongly felt in European American families from middle-class backgrounds. Within this population, positive outcomes have been noted in a number of areas, including self-esteem, social skills, and academic achievement. An authoritative parenting style that includes parental monitoring and supervision can enhance an adolescent’s exposure to positive activities and reduce an individual’s chances of engaging in delinquent or high-risk behaviors (Wargo, 2007). A warm but firm approach to parenting allows teens to be independent within the boundaries of developmentally appropriate parental limits. On the other hand, use of the authoritarian parenting style has been associated with increased behavior problems and reduced academic success (Thompson, Hollis, & Richards, 2003). Although the authoritative parenting style appears to be the gold standard among white families, the authoritarian style of parenting appears to be more common among ethnic minority families than among white families. Researchers suggest that these differences in styles may be related to the influence of culture on parental belief systems and subsequent parenting practices. Although authoritative parenting is less common in ethnic minority families, this parenting style has been linked to adolescent competence across a wide range of families (Steinberg & Silk, 2002), with adolescents in minority families benefiting as much from authoritative parenting as their nonminority peers. However, within the context of the influences associated with the macrosystem, Chaudhuri, Easterbrooks, and Davis (2009) suggest that “conceptualization of parenting in minority groups provides a broad definition of what cultural context can be a representation of ethnicity, income, immigration experience, and culture” (p. 294). Since different cultural groups support different goals for socialization, it is not surprising to find that childrearing practices vary among these diverse groups (Chao, 2000; Hughes, 2001; Polaha, Larzelere, Shapiro, & Pettit, 2004). In their study of African American mothers, Cain and Combs-Orme (2005) found that 67% of their mothers (regardless of marital status and family structure) used very strict methods of discipline in authoritarian parenting styles (high control, low warmth) that featured such discipline practices as hitting, intimidation, and belittlement (p. 36). There is some support for the use of strict methods of discipline, especially in environments where parents are using these methods in an attempt to deter the development of high-risk behaviors in dangerous neighborhoods (Bradley, 1998). In another study, focusing on African American adolescent girls living in impoverished communities, Pittman and Chase-Lansdale (2001) found that adolescent girls experienced the most negative outcomes if their mothers were disengaged (low on supervision, monitoring, and parental warmth). However, focusing on a population of predominantly working and middle-class African Americans, Bluestone and Tamis-LeM onda (1999) found that the majority of mothers in that study used an authoritative parenting style, which suggests that different situations and economic conditions are also important considerations when discussing parenting style and ethnicity. Given the premise that ethnic minorities’ parenting practices may differ from those in families that do not experience some of the hardships associated with minority status, such as poor financial resources, lower educational attainment, and feelings of marginalization due to minority and or ethnic status, Domenech Rodriguez, Donovick, and Crowley (2009) found the more traditional parenting styles (e.g., authoritative) were not as relevant to ethnic minority families. Some of the differences that researchers have found in studies investigating ethnic minority parents are the use of culturally specific methods of parental discipline and control, lower levels of parental sensitivity, and higher levels of protectiveness (Chao, 1994; Domenech Rodriguez et al., 2009; M esman, van Ijzendoorn, & BakermansKranenburg, 2012). Domenech Rodriguiez et al. (2009) studied a sample of first-generation, lowincome, Latino parents (88% M exican origin) and their children (4–9 years of age). The researchers found that the four traditional parenting styles used in most studies were not a good fit with Latino families and that expectations for parenting styles differed depending on whether the parent was the mother or father. Using the three dimensions of warmth (support), demandingness (expectations and behavioral control), and autonomy granting (independence, individuation), Domenech and colleagues found that Latino parents in their sample were high on warmth and demandingness, but lower on autonomy granting. Furthermore, there were gender differences in parenting practices with parents granting less autonomy to girls than boys and higher demandingness toward daughters than sons. The majority of parents in this sample (61%) met criteria for “protective parents” (high on warmth and demandingness, low on autonomy granting) (Box 1.19). Box 1.19 Thinking Out Loud Domenech Rodriquiez et al. (2009) suggest that different gender effects in their study might be explained by parents’ perceptions of girls maturing earlier than boys and having higher expectations for them as a result. They wondered if the expectations might change as the boys aged. Although hierarchical parenting (denoting clear guidelines of parental authority) has been associated with externalizing behaviors in European American and families of mixed ethnic origin, for Hispanic-American families, inconsistent parenting has been associated with increases in problem behavior in boys (Lindahl & M alik, 1999). Holtrop, M cNeil Smith, and Scott (2015) suggest that in Latino families hierarchical parenting is expected because it embodies the cultural value of respeto or respect which might suggest that the authoritarian parenting style would be more compatible with this value. This has not been supported by the research, however, since application of the authoritarian style in the name of respeto has produced negative outcomes of increased externalizing and internalizing behaviors (Calzada, Huang, Anicama, Fernandez, & Brotman, 2012). Based on the inconsistencies in results with Latino families, Holtrop et al. (2015) suggest that our current knowledge of the relationship between parenting styles and child outcomes in Latino families remains unclear. They also suggest that findings may also emphasize the need to identify culturally relevant practices when designing and implementing parenting interventions, especially the concept of familism (i.e., emphasis on the family unit). In a longitudinal study of 444 Chinese American families, Kim, Wang, OrozcoLapray, Shen, and M urtuza (2013) identified four parenting profiles: supportive, tiger parenting, easygoing, and harsh parenting. Rather than evaluate parenting style along the typical two dimensions (control and warmth), Kim et al. (2013) used a multifaceted approach, which considered both positive (parental monitoring and democratic parenting) and negative (psychological control and punitive control) aspects of parent control and two forms of parent emotional responsiveness (warmth and hostility). In this model, warmth and hostility are not considered as extremes of the same concept, but two different dimensions. Within this context, tiger parenting was associated with high warmth and high hostility, compared with easygoing parenting (low warmth, low hostility), supportive parenting (high warmth, low hostility), or harsh parenting (low warmth, high hostility). As for forms of parental control, researchers compared confrontative control with coercive control (which could be either punitive or psychological). Finally, they added the dimension of “shaming” which they found to be highly important in the Chinese culture. Results of their study revealed that although “supportive parenting, which is most beneficial for adolescent adjustment, includes higher extent of shaming than easygoing parenting, although not as high as the level of shaming in tiger or harsh parenting” (p. 15). Results indicated that the supportive parenting profile was the most common parenting style, followed by easygoing, tiger parenting, and harsh parenting (in that order). Supportive parenting, the most common form of parenting, had the best developmental outcomes, followed by easygoing parenting, tiger parenting, and harsh parenting. Contrary to popular belief, Kim et al. (2013) found that tiger parenting was not the most typical parenting profile among Chinese American families, nor did it produce the best outcomes for adjustment in Chinese American adolescents. Compared to adolescents reared under a supportive parenting style, adolescents whose parents had a tiger parenting profile reported less of a sense of family obligation and obtained lower educational outcomes, including GPA. The concept of the tiger mother will be revisited in Chapter 4, the case study of Shirley Yong (Case 14; Box 1.20). Box 1.20 Outcomes of Tiger Parenting In the study by Kim et al. (2013), adolescents who were raised by tiger parenting reported more academic pressure, greater sense of alienation (lack of belongingness), and more depressive symptoms. According to Baumrind (2012) research on culture and parenting styles has identified “culturally syntonic practices that would be described as confrontational but not coercive,” including the following: the “training practices of Chinese American parents”; “the emphasis on prompt compliance by African American parents”; the emphasis on “respect by Latin American parents”; and the emphasis on “deference by conservative European American parents” (p. 186). Although these processes of “directive parenting” may look authoritarian on the surface (forceful and confrontational), they are not because they are not coercive and are responsive and child oriented. As such, Baumrind suggests that the “directive style” may be the universal parenting style that will be associated with increased levels of competence linking a family’s situational and cultural factors with parent authority and child autonomy. The emphasis in future research should be, according to Baumrind, on identifying the “indigenous family patterns specific to a variety of cultural contexts” (p. 186). Durlak (1998) conducted a meta-analysis of over 1,000 prevention outcome studies and reported the findings regarding the following breakdown of risks and protective factors within the context of Bronfenbrenner’s ecological model. In a more recent review, Eriksson, Cater, Andershed, & Andershed (2010) conducted an extensive review of the reviews on literature (30 different meta-analyses) regarding protective factors that can buffer children and adolescents from externalizing and internalizing problems. The risk and protective factors from both studies are summarized in Table 1.1. Table 1.1 RESILIENCE A discussion of risks and protective factors naturally leads to a discussion of the concept of resilience. Resilience has been defined as “the capacity for adapting successfully in the context of adversity, typically inferred from evidence of successful adaptation following significant challenges or system disturbances” (M asten & M onn, 2015, p. 6). As a result, studies of resilience have studied children in high-risk conditions (adversity) who manage to adapt successfully and have tried to uncover what protective factors can support this trajectory of positive growth. Although the topic of resilience has attracted research attention for quite some time, the concept remains elusive in some respects because of diverse approaches to defining, operationalizing, and measuring it. As a result, it has been difficult to collate data across different studies (M asten & Gerwitz, 2006). Researchers studying risk factors that can contribute to adversity have measured diverse sources of potential stressors, including aspects such as low SES, low birth weight, number of adverse life events, and parent divorce. Yet despite the diversity of measures used, results point to a number of common outcomes (Luthar, Cicchetti, & Becker, 2000). M asten (2001) summarizes results of studies on resilience that have focused on two different methodologies: variable-focused studies and person-focused studies (comparing groups of children living in the same adverse conditions who are resilient versus those who are not resilient). Some of the outcome measures used for variable-focused studies have included academic achievement and measures of prosocial behavior (peer acceptance) and psychopathology (deviant behavior, internalizing behaviors). Information from these studies has isolated a number of protective factors that have been associated with resilience. While effective parenting practices (e.g., authoritative parenting, monitoring, support) have been associated with the best social and behavioral outcomes, intellectual functioning has been associated with both academic success and behavioral control. However, since intelligence includes a wide variety of skills and skill subsets (such as executive functions) that may also influence self-regulatory process, M asten (2001) suggests the need to further investigate the underlying processes. In her review of results from person-focused studies (resilient group versus nonresilient group), M asten (2001) states that at an early age, individuals in the resilient groups shared better parenting skills and had an easy temperament. As they progressed in school, they demonstrated more academic success and had better self-perceptions and better social adjustment than their nonresilient peers (Box 1.21). Box 1.21 Protectiv e Factors and Resilience Some common elements in resilience research have isolated several factors that seem to contribute to the development of resilience despite living in adverse conditions, including positive, supportive caregivers; positive views of self; motivation to succeed; and cognitive and self-regulatory skills (M asten, 2001). Resilience and Neurobiology Alvord and M cEwen (2013) discuss resilience within a neurobiological framework and within this context define resilience as the “ability of an organism to withstand environmental challenges to normal function, and as such, successful allostatic responses can directly contribute to resilience by providing stability in a changing environment” (p. 338). They describe allostasis as the mediators that the brain activates in order to regain homeostasis when stressors are detected. Although the process when working should result in a smooth transition to a steady state, being bombarded by a constant influx of stress can cause a system to allostatic overload resulting in overuse of the system and dysregulation (wearing down the system) (Box 1.22). Box 1.22 Resilience and the Brain In addition to the important role of hormones in communicating between body and brain, Alvord and M cEwen (2013) identify key areas of the brain associated with regulation of the stress response: hippocampus (central role in learning, memory, and mood); prefrontal cortex (PFC; regulation of executive function, inhibitory control, and cognitive flexibility); and the amygdale (AM Y; regulation of emotions, aggression, and affect related to learning and memory, as in fear conditioning). Alvord and M cEwen (2013) discuss how the interaction between genetics and early environmental experiences plays an important role in setting the stage for how an individual will respond to stressors later in life, based on previous areas of the brain activated in areas of emotionality and cognition, especially the PFC, AM Y, and hippocampus. Resilience and Maternal Depression Numerous studies have reported negative outcomes for children and youth who are raised by depressed mothers. Risks that have been reported include social withdrawal (Yan & Dix, 2014); the acquisition of inappropriate social skills (Carter, Garrity-Rokous, Chazan-Cohen, Little, & Briggs-Gowan, 2001); increased risk for psychopathology (Gotlib, Joormann, & Foland-Ross, 2014); and evidence of dysfunctional physiological systems associated with the ability to manage stress and engage in social relationships such as cortisol response (Waters et al., 2013) and oxytocin production (Apter-Levy, Feldman, Vakart, Ebstein, & Feldman, 2013). For example, Lupien, King, M eaney, and M cEwen (2000) demonstrated that children’s levels of cortisol are correlated with their mother’s SES and depressive symptoms. Individual characteristics that have emerged as protective factors which can buffer a child from the impact of having a depressed mother are having an easy temperament (as opposed to difficult temperament) and having a higher IQ (Compas, Langrock, Keller, M erchant, & Copeland, 2002; Dix & Yan, 2013). At the family or environmental level, depressed mothers who demonstrate warmth, caring and support, and a minimum of negativity reduce the impact of their child’s risk for adverse outcomes (Wang & Dix 2013). Alvord and M cEwen (2013) discuss evidence of hyper/hypocortisol reactivity in children of depressed mothers, using a model of allostatic load. Apter-Levi et al. (2016) also use the same model to address malfunctions in the children’s HPA system, in their study of chronically depressed mothers and their children. Collecting data over a period of six years, Apter-Levi et al. (2016) found that hyper or hypo levels of cortisol and HPA malfunctions were related to the mother’s lack of sensitive caregiving which did not provide opportunities for children to develop a sense of security or appropriate social responsiveness. In addition, these malfunctions were also directly related to negative parenting practices (anger, negative affect, hostility, anxiety, depressed mood) and unpredictable mood swings (parent vacillating between displaying incidents of negative mood or anger and incidents of withdrawal). Due to these negative practices and unpredictable mood swings, children would be forced to be in a state of constant vigilance in order to adapt to erratic changes in the mother’s mood and behavior. As a result, Apter-Levi et al. (2016) suggest, “It is thus possible that children with a biological propensity for social withdrawal and behavior inhibition who are reared by more negative mothers are less able to develop flexible HPA system functioning which may lead to a socially-withdrawn style that places these children at a greater risk for later psychopathology” (p. 54). Yan (2016) investigated the role of three agentic processes (autonomy/selfassertion, effortful control, and motivation mastery) on children’s resilience (academic, social behavioral) in a longitudinal study (infancy to first grade) in a large national sample of children of depressed mothers. Results revealed that effortful control was the single most reliable predictor of resilience across all areas assessed (social, emotional, behavioral, and academic). Yan suggests that high levels of effortful control allow individuals to regulate their emotions (emotionfocused coping, especially in stressful interactions with the mother) and regulate and plan behaviors allowing them to engage in socially appropriate ways. Children high on self-assertion were resilient in three areas: social competence, internalizing behaviors, and externalizing behaviors. Yan believes that children high on autonomy are more self-assertive and interact with their mother in ways that promote negotiation and self-assertive communications. M otivation mastery related to only one area of resilience which was academic competence. Yan (2016) investigated patterns and interrelationships between the three agentic processes and resilience and suggests the following important factors that contribute to resilience in children with depressed mothers: high intelligence, child temperament, maternal sensitivity, and quality of child care. High intelligence in early childhood was predictive of greater self-assertion, effortful control, and mastery motivation throughout the study, which in turn predicted resilience in all areas measured (academic, social, behavioral). Children with less difficult temperaments were also higher on effortful control and self-assertion which were predictive of resilience in all areas of competence. Sensitive parenting was also significantly related to self-assertion, effortful control, and mastery motivation, which in turn predicted resilience. Finally, the opportunity to attend high-quality childcare facilities was related to effortful control which was a strong predictor of resilience. This is an important finding for treatment interventions and prevention, because it suggests that extra-familial environments may assist in developing child qualities, such as effortful control, which can foster resilience at a time when the mother is experiencing challenges due to chronic depression. Resilience: Intervention and Prevention Research regarding promoting resilience in children has focused on two important factors: individual characteristics and influences from family and parenting practices. At the level of individual characteristics, several important factors have been identified. The study by Yan (2016) provides important information regarding potential avenues for promoting resilience in children who are faced with living in adverse conditions. Interventions that are focused on enhancing the key processes that are linked to resilience, such as effortful control and self-assertion, could lead to increased positive, active engagement, and adaptive functioning. In addition, these qualities can be targeted both in enhancing parenting practices and extra familial contexts (good day care and school programs). Prilleltensky, Nelson, and Peirson (2001) suggest that children’s sense of “personal control, empowerment, and self-determination” are important aspects to target in programs aimed at increasing psychological well-being and positive mental health. The researchers suggest that these qualities can be enhanced by providing opportunities for children in three important areas: (1) material resources (nutrition, housing, stimulation) and psychological resources (secure attachments, empathy, and exercising problemsolving abilities) necessary to satisfy basic needs; (2) chances to engage in meaningful decision-making to enhance self-determination; and (3) targeting growth in areas of increased competence and self-efficacy. The “FRIENDS for life” program (Barrett, 2004a, 2004b) was initially developed as a group treatment program for children with anxiety disorders and was later adapted into a school-based universal prevention program. The goal of the program is to build emotional resilience in children by teaching them skills to cope effectively with feelings of anxiety and depression. The program is based on cognitive behavioral methods and has been used extensively throughout the world. Studies have been conducted in Australia (Iizuka, Barrett, Gillies, Cook, & M iller, 2014; Stallard, Simpson, Anderson, Hibbert, & Osborn, 2007), the Netherlands (Kösters et al., 2012), the United States (Briesch, Sanetti, & Briesch, 2010), Ireland (O’Brien et al., 2007), South Africa (M ostert, 2007), and the United Kingdom (Rodgers & Dunsmuir, 2015). The “FRIENDS” acronym stands for Feelings; Remember to relax; I can do it; Explore solutions and coping step plans; Now reward yourself; Don’t forget to practice; and Stay calm for life. The program has 10 weekly sessions and 2 booster sessions which are conducted 1 and 2 months after the program is completed. There are also two parent sessions during the 10-week program. Coping techniques used include psychoeducation, relaxation exercises, exposure, social support training, problem-solving skills training, and cognitive restructuring exercises. Studies have demonstrated that the FRIENDS program can be successful in enhancing self-concept (Stallard et al., 2005, 2007), coping skills (Stopa, Barrett, & Golingi, 2010), social skills (Liddle & M acmillan, 2010), reduction in symptoms of anxiety and depression (Stallard et al., 2005), and improvements in BI and socialemotional strength (Pahl & Barrett, 2010). Having a positive, supportive caregiver can enhance opportunities for resilience in the face of adversity. Studies that have focused on improved caregiving have used several parent training programs to assist parents in developing better skills in areas of emotional communication and appropriate uses of positive reinforcements. According to Bai and Repetti (2015), engaging in warm, responsive, and supportive family interactions may cultivate resilience in children through exposure to positive emotional and physiological stress response systems. Parent–Child Interaction Therapy (PCIT) is a widely used, evidence-based treatment for parents of children who have disruptive behavior disorders (Funderburk & Eyberg, 2011). PCIT involves 15 weekly sessions and is divided into two phases. The first phase, CDI, focuses on improving the quality of the parent– child relationships by strengthening the parent’s ability to actively attend to and reinforce positive child behaviors, while ignoring negative behaviors. The acronym PRIDE is used to relate to skills in five different areas: Praise, Reflection, Imitation, Description, and Enthusiasm. Parents practise these skills while learning to follow their child’s lead in dyadic play sessions. In the second phase, PDI, parents take over the lead in play and real-life situations which focus on the importance of their child obeying their instructions and requests. Compliance is rewarded with praise, while the consequence for noncompliance is time out. Sessions involve direct coaching of parent–child interactions. Skills are introduced in a parent-only session and then skills are practiced in the parent–child dyad the following session. Coaching takes place using a wireless earphone and one-way mirror. The Triple P Positive Parenting Program is another widely used and empirically supported parent training program that can be administered on a variety of prevention levels from Level 1, universal prevention (media-based information for parents) to Level 5, intensive individually tailored family programs for children with major behavioral issues within the context of family dysfunction. This behavioral family intervention program is based on principles of social learning (Patterson, 1982) and has been adapted to serve five different developmental stages (infants, toddlers, preschoolers, school-aged children, adolescents). Parents at Level 4 (parents of children with more severe behavior problems who want intensive parent training) have the opportunity to take part in one of four different types of programs: Standard Triple P (individual parents may be involved in face-to-face or phone consultations, home visits, or be self-directed); Group Triple P (groups of 10–12 parents); Group Teen Triple P; or Self-directed Triple P (parenting workbooks are provided for a 10-week self-help program). Core parenting skills taught in the programs include observation skills, managing misbehavior, preventing problems in high-risk situations, self-regulation skills, and mood management and coping skills (Sanders, M arkie-Dadds, & Turner, 2003). Thomas and Zimmer-Gembeck (2007) conducted a meta-analysis of 24 studies from the United States and Australia to evaluate and compare the outcomes of PCIT and Triple P Positive Parenting Programs. 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Infant M ental Health Journal, 18, 182–197. Descriptions of Images and Figures Back to Figure The figure is an illustration of how a neutral stimulus (NS) can transform into a conditioned stimulus (CS). The NS in this instance, an airplane, evokes a neutral response (i.e., the plane seen as a means of transportation). However, when an unconditioned stimulus (US) is thrown into the mix, such as the possibility of a turbulent flight, it becomes associated with a conditioned response (CR), which uusually is fear of crashing and the experience comes to be classed as that of a bad plane. Back to Figure The figure portrays an example of exposure therapy used to decondition fear of flying. It is a systematic desentization stepwise that aids an individual in overcoming his fear. The first step is to develop a fear hierarchy and the next is to pair each step with a relaxation technique and to proceed as necessary until stimulus is no longer evokes a sense of fear. The fear hierarchy is built by first looking at a picture of a plane, then moving to books on planes with pictures, then to a positive film on planes, then to actually going to an airport and watching planes take off, to the decision of purchasing of tickets for a short flight, and finally to taking a short flight. Each of these steps is accompanied with relaxation techniques like deep breathing, meditation, and muscle relaxation until the fear is completely extinguished. Back to Figure The figure clearly depicts the increasing and decreasing behaviors associated with operant conditioning. Here reinforcement and punishment are used as conditioning techniques to test behavior. There are two sides to behavior, negative and positive. When behavior is tested, it can be either punished or rewarded. Here, a decreased behavior can be punished in the form of spanking, detention, loss of phone time, or loss of video game time. The way to increase behavior can be done in two ways: through positive reinforcement or through negative reinforcement. A positive reinforcement entails candy, money, or toys. Whereas a negative behavior includes removal of a negative reward. Back to Figure The figure is a schematic demonstation of the four types of parenting styles. These are depicted taking into account variables of warmth and control. The four parenting styles include authoritative, authoritarian, permissive, and neglectful. The authoritative style is portrayed as high warmth and high control; the authoritatian style as low warmth and high control; the permissive style as high warmth and low control; and finally, the neglectful style as low warmth and low control. Back to Figure The figure graphically portrays Bronfenbrenner’s biological systems theory. This system is comprised of four aspects: process, person, context, and time. The process is development and includes aspects like dynamic interactions or relationships between an individual and their context. The person aspect revolves around an individual’s biological, cognitive, emotional, and behavioral charateristics. The context aspect delves into a human developmental system of nested influences. And finally the time aspect centers around temporal aspects that moderate change over the course of development or chronosystem. CASE 1 TERRY HOGAN : THE AVOIDANCE TRAP: DEVELOPING A CASE FORMULATION The Av oidance Trap Terry’s fourth-grade teacher is concerned due to her progressively declining grades. Terry was in a bike accident in the third grade and was thrown from the bicycle, causing a separation of the cartilage from the rib cage. This very painful condition resulted in Terry missing several weeks of school and ultimately repeating the third grade. Terry was assessed 4 months ago and the psychological assessment revealed intellectual functioning to be in the average range (range 87–100), with academic functioning at a mid–Grade 3 level in all areas (standard score range 85–87). Terry did not qualify for special education assistance since the school district used the discrepancy criterion of 2.5 standard deviations difference between intellectual level and academic standard scores, which would require academic standard scores to be well below current levels. However, academic concerns have continued to escalate, and Terry is becoming more and more vocal about disliking school. There are frequent complaints of stomachaches, and there is often a refusal to eat lunch. In the past 5 months, Terry has been absent for 17 days and tardy on 16 occasions. The school is requesting further assessment to clarify the nature of the problems. During the follow-up assessment, Terry completed a number of self-report scales (depression, anxiety, personality), and scores indicate clinically significant elevations for all internalizing scales, including depression, anxiety, and somatization. After reading the case of Terry Hogan, ask yourself the following question: Does Terry suffer from a significant mental illness? According to a recent study based on data from the 2016 National Survey of Children’s Health, approximately 16.5% of children between the ages of 6 and 17 have a treatable mental disorder (Whitney & Peterson, 2019), so the chances are approximately 1 in 6 that Terry does. However, unlike children who have disruptive behavior disorders, Terry’s symptoms are not readily apparent, which leads to the other part of the statistic in the study by Whitney and Peterson (2019), which is that nearly half of the children who suffer from a mental disorder do not receive treatment from a mental health professional. How can the clinician determine the nature and severity of Terry’s problems? What are the essential questions that need to be addressed? Since a clinician’s theoretical perspective can influence decisions, it is very important that clinicians are aware of their own theoretical biases in forming their opinions. Looking at a case through a set of theoretically colored lenses can affect all aspects of information processing, from hypothesis testing to treatment. The influence of theory on practice will become increasingly clear as case formulations are constructed from various theoretical viewpoints and applied to the case of Terry Hogan. The following exercise will provide a step-by-step look at how a case formulation would be developed and applied to this case. Stage 1: Problem Identification: A Question of “What.” At this stage, the clinician must ask the question, “What is Terry’s problem?” However, this is often more complicated than it looks. For example, although Terry’s poor academic progress was the initial concern, a very different set of problems eventually unfold that provided increased insight into the high rates of absenteeism and an increasingly negative attitude toward school. Stage 2: Problem Interpretation/Understanding: A Question of “Why.” At this stage of the process, the clinician draws on information from Terry’s developmental and family history to provide a snapshot of Terry’s history that can provide vital information regarding potential genetic factors that may suggest a vulnerability to some manifestations of behaviors (family pathology) or circumstances (family or school history), which might add to understanding how the problem evolved and what is maintaining the problematic behavior. At this point, it is also important to address any risks or protective factors that might help explain conditions that could exacerbate or moderate the problem. An understanding of the different theoretical perspectives can add to the depth and breadth of the analysis and hypothesis, and the ability to integrate information from these sources can contribute to our overall understanding and success in developing interventions based on the underlying dynamics involved. Stage 3: Treatment Formulation: A Question of “How.” Ultimately, our understanding of Terry’s problem will help to inform treatment efforts regarding how to best address the problem based on our knowledge of evidence-based treatments that are most successful in dealing with problems of this nature. It will also be very important to integrate plans for monitoring and evaluating the effectiveness of the treatment plan in order to make any necessary changes. CASE FORMULATION: APPLICATIONS TO THE CASE OF TERRY HOGAN With the first goal of case formulation in mind, return to the initial description of Terry Hogan and reread the scenario with the following questions in mind: 1. What are Terry’s main problems? 2. What is Terry’s primary problem? Why has the problem developed (precipitating factors) and what is causing the problem to persist (maintaining factors)? 3. What other information is needed to respond to the above questions? Is Terry a boy or girl? Read the scenario again to see if you can find the answer. Risk factors for males and females can be different, so Terry’s gender may also be a factor in determining targets for intervention (Box C1.1). Box C1.1 Thinking Out Loud Although Terry is struggling academically, the initial assessment suggested that lack of academic progress was not due to lack of ability (intelligence was in the average range) but some other factor that was contributing to her lack of performance (production). Terry said that she disliked school. Could lack of performance be attributed to lack of motivation, interest, and effort? Based on the information to date, pinpointing the problem is not an easy task. In order to understand the problem, it is necessary to delve into the information and focus on behavior patterns that are most likely to yield relevant insights into Terry’s difficulties. Based on the latest assessment results, the psychologist records the following impressions: During the follow-up assessment session, Terry seemed even more agitated than she had been previously. She appeared pale and had dark circles under her eyes. When asked about school, she said that things were worse than before (referring to 4 months ago). Her younger sister, Lilly, is now in the same grade and even though they are in different classrooms, her younger sister is a constant reminder of her failure. Terry said the family was living with her grandparents until last week. She said her grandfather gets “too angry” at her and yells a lot. Just before they moved out, her grandfather had taken the belt out to hit her and she ran out the front door and down the street. She said she did not care if she was hit by a car, it was better than being hit by him. When asked about her absenteeism, Terry said that she felt sick a lot. She also mentioned that her back hurt because she had been sleeping on a sofa bed that has a bar across the middle that digs into her back at night and wakes her up, so she cannot sleep very well. Her mother is a waitress who works long hours some nights. Since they are no longer living with her grandparents, Terry and her sister now go to the restaurant to eat their dinner and then walk home with their mother when she is finished with work. She said that the restaurant can be noisy, so it is hard to do her homework. Terry’s father is a truck driver and is often away. When asked about friends, Terry said she used to have some friends, but when she repeated the third grade, they would not play with her anymore because she was only a third grader. Terry’s favorite pastime is watching TV. She said that she liked to watch Disney movies because “they always have a happy ending, not like most things.” REASON FOR REFERRAL Although the original reason for referral was academic concerns, it is becoming increasingly apparent that academic problems are more a symptom than a cause of Terry’s difficulties. Further investigation is necessary in order to probe different hypotheses and provide an opportunity to develop case formulations from different theoretical perspectives. Information on family history, which would usually be obtained at the beginning of the case, is still lacking, since Terry’s mother has not yet met with the school psychologist. ASSESSMENT RESULTS Terry’s responses to the Revised Children’s M anifest Anxiety Scale (RCM AS-2) indicated significant levels of social anxiety (feelings of isolation from peers and feelings of inadequacy compared to other girls her age). On the Child Depression Index (CDI-2), scores for total depression, negative mood, ineffectiveness, and anhedonia were all in the clinically significant range. There were indications of suicidal ideation, although Terry stated that she “would not do it.” Although responses to the Personality Inventory for Youth (PIY) revealed a valid profile (nondefensive), there were also indications of a potentially exaggerated response profile. Responses indicated little pleasure derived from academics and school-based activities, high scores for distractibility and concentration problems, and tendencies to be irritable and impatient. Terry admitted to having problems with compliance issues and following the rules. She endorsed many somatic complaints often associated with anxiety and depression (frequent headaches, stomachaches, dizziness, fatigue), placing her score on the somatic scale in the clinically significant range. Terry’s profile suggested that when psychologically distressed, she tended to show physical responses, such as feeling ill, loss of appetite, and sleep disturbance. Responses to the family dysfunction scale revealed that she was unlikely to view her home as a source of satisfaction and instead saw home as conflicted and fragmented. Responses suggested a troubled relationship with her parents, who she describes as argumentative, frequently absent, and in disagreement with each other. Responses indicated that one or both of her parents might drink to excess or demonstrate other signs of less than stable emotional adjustment. Terry’s teacher completed the Behavioral Assessment System for Children (BASC-2), a rating scale of behavioral and emotional problems in children. Unfortunately, the parent version of the scale had not been returned to the school, despite several calls. Similar to Terry’s responses, her teacher also confirmed clinically significant concerns on all internalizing scales, including total internalizing problems, depression, anxiety, somatization, learning problems, and withdrawal (tendency to evade others and avoid social contact). Based on the assessment results, the psychologist had a growing concern that Terry was experiencing many symptoms of depression, anxiety, and somatization. However, why these problems were occurring and seemingly escalating could only be speculated until there was contact with Terry’s family. The school psychologist made several attempts to contact M rs. Hogan. Several weeks later, M rs. Hogan agreed to meet with the school psychologist to discuss the assessment results. She provided a brief family history and answered most of the questions asked, although she was guarded in her responses. She explained that they had been living with her father for the past little while to ease financial burdens. She said he could be stubborn at times and blamed it on the Irish heritage. Her great-great-grandparents had emigrated from Northern Ireland at the time of the potato famine (mid-1800s) and worked as cheap labor in the United States, as did many who settled in America. She said that she had kept the name Hogan, not taking her husband’s name, because the name means “warrior” and she was a fighter. After these comments, she added, “I don’t know why Terry does not live up to her name. She’s a whiner and complainer; she’s no warrior.” Shortly into the interview, M rs. Hogan announced that the family was relocating to Tennessee at the end of the week to live with her sister’s family, which would place them closer to her husband’s new truck route. When the assessment results were discussed, M rs. Hogan became very defensive and stated that Terry was pretty good at pulling the wool over people’s eyes, implying that Terry had the psychologist “fooled.” She said that living with Terry had been difficult since the day she was born. Terry was an irritable baby who never slept well and was always a fussy eater. She was a clingy baby who cried every time her mother left her, so it was hard to find sitters who would look after her. She said that Terry was a selfish child who only thought about herself. She wished that Terry could be more like her sister, Lilly, who was easy to get along with and had many friends. On the other hand, Terry was moody, irritable, and difficult to please; she often walked around with a “chip on her shoulder.” M rs. Hogan said that unfortunately, Terry took after her father, who was the same way, especially when he was drinking. When asked about family history for depression, M rs. Hogan said she suspected that her husband might be “down in the dumps” sometimes, especially when he would start drinking. However, with the truck driving job, drinking was no longer an option. M rs. Hogan admitted to having financial problems and blamed Terry’s willful and disobedient attitude for getting them “booted out” of Terry’s grandfather’s place. She explained that her father (Terry’s grandfather) had always had problems controlling his temper and that Terry would “mouth off” and cause him to lose his temper. She described Terry as a complainer who often said that she was not feeling well to get out of doing chores or helping around the house. As a result, her sister often had to carry twice the load. The psychologist emphasized her concerns about Terry’s emotional well-being and her symptoms of depression and recommended that M rs. Hogan find a counselor for Terry when they arrived in Tennessee. However, M rs. Hogan felt that would just encourage Terry to feel sorry for herself and make it worse. The psychologist requested permission to send the reports to Terry’s new school, and M rs. Hogan reluctantly agreed (Box C1.2). Box C1.2 Thinking Out Loud Applying theory to case formulations: The psychologist has now amassed information from several sources and can begin building hypotheses regarding Terry’s internalizing problems (depression, anxiety, and somatization). The following case formulations will provide an increased understanding of how the problem can be conceptualized from a variety of theoretical perspectives. CASE FORMULATION: FIVE DIFFERENT PERSPECTIVES The following section is devoted to case formulations developed from five different theoretical frameworks: biological, behavioral, cognitive (social cognitive), psychodynamic/attachment, and parenting/family systems. Case Formulation Based on the Biological Perspective Terry’s family history may be positive for depression (father) and if so, then she would have an increased risk (20%–45%) for developing depressive symptoms (Rutter, Silberg, O’Connor, & Simonoff, 1999). Imbalanced levels of serotonin, norepinephrine, and possibly dopamine and acetylcholine have been associated with depression in adults (Thase, Jindal, & Howland, 2002). Abnormalities in the gene responsible for transporting the neurotransmitter serotonin (5-HTT gene) have been linked to increased risk for depressive disorder (Caspi et al., 2003; Hecimovic & Gilliam, 2006). Caspi et al. (2003) found that children who inherited the short allele of the serotonin transporter (5-HTT) were more likely to respond to stressful events with symptoms of depression and suicidal ideation than peers who did not inherit the short allele. Cortisol is a hormone that is released by the hypothalamic– pituitary–adrenal system (HPA) in times of stress. High cortisol levels can result in heightened sensitivity to threat that have been linked to increased risk for depression (Pliszka, 2002). Studies of the neurophysiology of emotion regulation are based on the need for positive resolution of fearful experiences to allow for the development of self-soothing behaviors in response to fear and anxiety (Siegel, 1999). Results of a recent neuroimaging study have found that the anterior cingulate cortex (ACC), which is activated during physical pain, is also activated in response to distress caused by social exclusion and rejection (Eisenberger, Lieberman, & Williams, 2003). The researchers suggest that these neural connections may be part of the social attachment survival system to promote the goal of social connectedness. These results help explain Terry’s feelings of physical pain in response to her emotional loss and rejection. Although the impact of genetic and environmental effects (genotype–environment interaction: GEI) on childhood anxiety and depression has been well established (Franić, M iddeldorp, Dolan, Ligthart, & Boomsma, 2010), until recently, less emphasis had been placed on examining how these factors combine to influence outcomes. Silberg, Rotter, Neale, and Eaves (2001) found that adolescents who had genetic ties to anxiety and depression and experienced negative life events or adverse life experiences (ACEs) had an increased risk for anxiety and depression compared to adolescent females with genetic vulnerability who did not experience negative life events. Results even more relevant to Terry’s case were findings from a study by Feinberg, Button, Neiderhiser, Reiss, and Hetherington (2007) who found that as parent negativity increased, so did the risk for depression. The finding was consistent with results obtained by Hicks, DiRago, Iacono, and M cGue (2009) demonstrating that as negative environmental factors increased (mother, father, and child relationship issues; problems with achievement, stressful life events, and negative peer affiliations), symptoms of anxiety and depression also increased. Therapeutic implications: Although medical management is common in the treatment of depression in adults, approximately 30%–40% of children with depression do not respond to medical treatment (Emslie et al., 1997). Fluoxetine (Prozac) is the only medication that has been approved by the FDA for use with children 8 years of age and older. Results of a 6-year-long investigation with adolescents found that combined treatment using antidepressants and cognitive behavioral therapy (CBT) was superior to CBT alone (Apter, Kronenberg, & Brent, 2005). However, in 2006, the FDA issued a black box warning (the highest level of caution) for antidepression medications potentially increasing depression and suicidal behaviors in youth and young adults up to 25 years of age (Box C1.3). Box C1.3 Thinking Out Loud Does the benefit outweigh the risk? Based on results of their exhaustive review of clinical pediatric trials between 1988 and 2006, Bridge et al. (2007) conclude that not taking prescription medication for depression places children at greater risk than taking the medications. Case Formulation Based on the Behavioral Perspective From a behavioral perspective, principles of operant conditioning can be very helpful in understanding how Terry’s symptoms of depression, often manifested in claims of “not feeling well,” have become ingrained in a repetitive pattern of avoidance behaviors. When Terry initially stated that she was “not feeling well,” it is likely that responses included increased attention from those around her (positive reinforcement) and an opportunity to escape from doing chores (negative reinforcement). Either way, feeling sick was reinforced with a positive outcome, thereby increasing the likelihood for the behavior to be repeated in the future. Positive reinforcement involves the addition of a reward (e.g., when you feel sick, I will comfort you and nourish you), while negative reinforcement involves the removal of a negative situation. Negative reinforcement, not to be confused with punishment, is rewarding because it involves the removal of a negative situation (e.g., if you are sick, you do not have to do chores or go to school). Negative reinforcement has sometimes been called escape because it allows one to escape a negative consequence. In the Introduction, coercion theory (Patterson, Capaldi, & Bank, 1991) was discussed as it relates to social learning theory (a spinoff from the behavioral perspective). Coercion theory can help explain how Terry and her mother have established a negative cycle of interaction patterns. Parents who eventually yield to a child’s escalating and demanding behaviors serve to positively reinforce the child’s misbehavior. In this case, Terry’s feeling sick has resulted in numerous absences from school, which allows her to escape from a situation she wants to avoid (negative reinforcement). In addition, as far as the communication pattern is concerned, when Terry is allowed to play the “sick role,” the behavior is reinforcing for Terry (escapes going to school) and her mother (Terry stops whining and complaining). Therefore, the parent learns that giving in will stop the demands and whining (negative reinforcement), while the child learns that increased demands result in parent compliance (positive reinforcement). Since positive and negative reinforcement serve to strengthen behaviors, parent and child become locked in to an escalating and never-ending battle. Therapeutic implications: Based on behavioral analysis, the payoff for Terry feeling ill has been an ability to escape negative situations, such as doing chores around the house or having to attend school, where she is failing academically and socially. In developing a behavioral program, goals would be to increase her sense of academic and social competency at school in an attempt to reduce her need to escape from a negative situation. At home, reintroduction of chores should be done in a way that requires a sense of responsibility but is also inherently rewarding, for example, preparing dessert for the family. Terry and her sister should have a chore list that is negotiated between them in the presence of their parents, with a list of rewards (e.g., allowance, privileges) that can be earned and traded at the end of each week as compensation for completion of required tasks. Through the use of behavioral tools such as knowledge of schedules of reinforcement and objective observation techniques, behavior intervention plans can be developed, monitored, and modified to assist with behavioral change. Rewarding obedience with attention and praise; issuing demands that are clear and age appropriate; and providing consistent follow-through would strengthen Terry’s compliant behaviors while increasing her selfconfidence and breaking the cycle of avoidance behaviors. Building on earlier successes has proven to be a source of motivation in increasing compliance with more difficult tasks later on (Ducharme & Popynick, 1993). The Parent Management Training – Oregon Model (PM TO) discussed in Chapter 1 is well suited in Terry’s case and could provide the necessary training to assist her mother in reducing coercive parenting practices and increasing positive parenting by focusing on the use of positive reinforcement, appropriate limit setting, monitoring/supervision, interpersonal problem-solving, and emotion identification and regulation (Dishion, Forgatch, Chamberlain, & Pelham, 2016). Case Formulation Based on the Cognitive Perspective Terry’s cognitive framework for social interaction places her at risk for social rejection (Dodge, Bates, & Pettit, 1990). If Terry is overly sensitive to rejection, then she is likely to misinterpret ambivalent social situations as hostile and rejecting or what has come to be known as the hostile attribution bias. Recently, Beauchaine, Strassberg, Kees, and Drabick (2002) found that parents of children with poor relationship skills were especially deficient in providing solutions to issues of noncompliance, especially when required to do so under pressured conditions. The authors recommend the need for treatment plans to target the underlying processes of negative attribution bias and affect regulation, which they suggest are the pivotal factors that drive coercive parenting patterns. M rs. Hogan’s communication pattern with Terry demonstrates high expressed emotion (EE), a negative, critical, and disapproving interactive style. Such communication styles have been found to increase the risk for psychopathology in vulnerable family members (Nomura et al., 2005). Therapeutic implications: CBT seeks to facilitate positive integration of thoughts and behaviors. For Terry, CBT would focus on how Terry’s faulty belief system contributes to feelings of negative selfworth and avoidant behaviors. Social cognitive treatment might involve role-play in areas of social cue awareness and the underlying processes that contribute to the development of prosocial behavior, such as secure attachment, social perspective taking, empathy, and self-control. Parent training using CBT methods would focus on negative attributions, emotion regulation, and, ultimately, on increasing effective strategies for more positive communication. One possible program to enhance communication between Terry and her mother is the Seattle Program, which was developed by Speltz and colleagues (Greenberg & Speltz, 1988; Speltz, 1990). This parent training program uses cognitive behavioral methods to assist families of children with insecure attachment which is discussed next. The program focuses on communication breakdown in the parent–child dyad and emphasizes the need for better “negotiation skills.” The four-phase intervention program includes components of parent education, reframing of the child’s behaviors within a developmental framework, limit setting and problem prioritizing, and communication/negotiation skills. Case Formulation Based on Psychodynamic and Attachment Perspectives On a psychodynamic level, Terry’s internalizing problems would be represented as the internal manifestations of unconscious conflicts stemming from an imbalance in the underlying personality structure. In Terry’s case, her mother’s rejection could represent a symbolic loss resulting in feelings of depression and feelings of guilt and self-blame for driving her mother away. Freud would interpret the loss within the context of unmet needs (lack of parental nourishing) during the oral stage. This pervasive sense of loss can result in feelings of emptiness and withdrawal from social contact, which can increase symptoms of depression. Individuals may remain overly dependent on others, feel unworthy of love, and have low selfesteem (Busch, Rudden, & Shapiro, 2004). In addition, Terry’s somatic complaints may be interpreted as tendencies to translate psychic pain into physical pain. Ego psychologists might suggest that Terry’s insecurities result from a lack of resolution of the rapprochement phase in the separation individuation process. In this phase, the toddler is faced with awareness of separation, separation anxiety, and conflicting desires to stay close to the mother. Normally, the process of gaining greater independence and self-identity is facilitated by the parent, who performs the dual role of remaining emotionally available while gently encouraging the push toward greater independence (Settlage, 1977). However, as Terry’s mother was not emotionally available for her, theory would predict that conflicts between autonomy and dependence would be repeated throughout development, especially in vulnerable times (Kramer & Akhtar, 1989). Successful resolution of the conflict at this stage is achieved through the development of an internal representation or model of the parent–child relationship that can sustain separation due to the securely developed ego. To ego theorists, the focus is on consolidation of the ego, while for attachment theorists, the focus is on the relationship (Fonagy, 1999). From an attachment perspective, the degree of security/insecurity inherent in primary attachment relationships provides internal working models (IWMs) or templates for all future relationships (Ainsworth, Blehar, Waters, & Wall, 1978; Belsky, 1988; Bowlby, 1982). While secure attachments can be a protective factor, insecure attachments may place the child at increased risk for developing problems. Terry’s avoidant behaviors may be the result of IWM based on an early anxious attachment evident in an avoidant attachment pattern. It is likely that Terry’s mother was, at times, withdrawn and emotionally unavailable, and at other times harsh, emotionally charged, and highly punitive (negative and highly critical). Within this context, Terry’s avoidance behaviors may serve to manipulate and regulate caregiver proximity and attentiveness. Through the use of avoidant techniques, Terry can shield her sensitivity to her mother’s harsh and rejecting responses. It has been suggested that these maladaptive behaviors may fit with the overall schema of family dysfunction (M arvin & Stewart, 1990). Terry’s IWM is likely to evolve around avoidance and withdrawal to shield her from fears of rejection. Within this framework, parent– child dyads can be thrust into a hostile/helpless pattern, with one member of the dyad being the hostile aggressor and the other member becoming the passive, helpless, and overwhelmed recipient (Lyons-Ruth, Bronfman, & Atwood, 1999). Insecure attachments can develop for a variety of reasons, including child characteristics (e.g., difficult temperament) and characteristics in the immediate environment, such as parenting style (Belsky, 1999). In Terry’s case, there is strong evidence to suggest that both factors are highly interrelated. Greenberg, Speltz, DeKlyen, and Endriga (1993) incorporate four factors in their risk model for behavioral disorders, all of which are evident in the case study of Terry: insecure attachment, atypical child characteristics, ineffective parenting, and family environment. Although quality of attachment can be seen as a risk or protective factor in its own right, living in an environment that contains multiple risk factors (low socioeconomic status, family stress, parent maladjustment, etc.) also increases the likelihood of developing an insecure attachment (Belsky, 1997). Socially, maladaptive attachment patterns can also undermine social orientation and subsequent prosocial competencies. Terry’s lack of social reciprocity and withdrawal from social contact preclude strong social motivation at this point in her life. For Terry, the social world is a hostile territory that she would rather escape from than attempt to cope with. On the other hand, there is evidence that children with early secure attachments are more socially oriented and compliant and have better developed abilities to regulate their emotions (Ainsworth et al., 1978; Greenberg, 1999). Therapeutic implications: Depending on the therapist’s psychodynamic orientation, the therapeutic process might focus on the individual child (working through internal conflicts in play therapy), the parent (helping a parent resolve his or her own childhood conflicts and traumas), or the parent–child dyad (conjoint play therapy). In Terry’s case, all three approaches would be appropriate—initially engaging Terry and her mother in individual therapy sessions and ultimately bringing them together in conjoint play therapy sessions. Psychodynamic developmental therapy for children (PDTC) is a relatively recent advancement in psychodynamic therapy developed by Fonagy and Target (1996). Although the approach is psychodynamic in origin, principles of social information processing (social cognition) are used to assist children in linking thoughts to feelings and behaviors (reflective processes). A PDTC therapist might provide corrective experiences through play therapy and the use of metaphor to assist Terry in replacing self-damaging feelings with increased positive views (Box C1.4). Box C1.4 Thinking Out Loud Secure attachments can lead to better understanding rather than avoidance of negative emotions (Laible & Thompson, 1998). Terry demonstrates very few coping skills to effectively deal with negative emotions or negative information. Thompson (1999) suggests that “lessons learned” in attachment relationships may be instrumental in defining expectations in such areas as how others react when the child is experiencing difficulties coping with stress, anxiety, or fears. Case Formulation Based on Parenting Style and Family Systems Perspectives The authoritarian parenting style is a controlling and harsh style of interacting that is lacking in warmth and often predictive of avoidant attachment patterns (Rubin, Hymel, M ills, & Rose-Krasnor, 1991). Baumrind (1991) found four different parenting styles, based on the amount of structure and warmth parents provided. The authoritative parenting approach (high structure and high warmth) has been associated with the best child outcomes. Children raised in a household that uses authoritarian parenting practices may demonstrate aggressive and uncooperative characteristics, while those whose parents are uninvolved or permissive may respond with more negative traits due to the lack of structure. Based on an avoidant attachment pattern and authoritarian parenting practices, Terry may have developed her tendency to feel overwhelmed by any emotional demands placed on her, or feel unable to cope with challenges in her environment, and respond by withdrawing and avoiding uncomfortable situations. Family systems theory represents a variety of approaches that are unique to the traditional psychological focus on individual differences. Family systems theory, instead, looks at the family unit at the primary source for assessment and intervention. Within Terry’s family constellation, we see that Terry’s mother has aligned with Lilly (the good daughter) and has used this system of triangulation to shift the balance of power toward her and against Terry. The family also tends to have a combination of very loose boundaries (mother shares too many intimate details with Terry) but rigid boundaries regarding how much Terry can share with the family. Terry has also been flagged as the “problem child,” a stereotype that allows Terry’s mother to detour her focus (Terry is the problem, rather than to acknowledge other problematic issues in the family, such as marital conflict, father absenteeism, and financial concerns). Treatment implications: Beauchaine et al. (2002) found that parents who used ineffective and harsh methods of discipline associated with the authoritarian parenting style often had children who demonstrated poor relationship skills and did not have a good ability to generate alternative solutions to problems. Parents and children were especially deficient in providing solutions to issues of noncompliance, especially when required to resolve these issues under pressured conditions. Beauchaine et al. (2002) suggest the need for treatment plans to target the underlying processes of negative attribution bias and poor affect regulation, pivotal factors that drive coercive parenting patterns. Within the family systems approach, the therapist would attempt to observe family interactional patterns as they emerge in the family situation. The goal would be to restructure the family interactions toward more positive growth and change. In Terry’s case, the therapist would likely focus on repositioning the balance of power and on improved problem-solving and communication between family members. As far as communication style, the main style of communication in this household best fits a description of high EE, a communication style that is hostile, critical, and prone to emotional overinvolvement (EOI). Families with communication styles high in EE attributes tend to be more rigid, have more intense and negative verbal exchanges that are often conflicted and oppositional in tone, and have been associated with relapse of psychiatric symptoms in individuals who are vulnerable to stress. As such, communication styles that are high in EE attributes are often considered within a diathesis-stress model as an environmental stressor that can exacerbate or precipitate mental distress in individuals with a given genetic vulnerability (Hahlweg et al., 1989; Hooley & Hiller, 2000; Wuerker, Haas, & Bellack, 2001). INTEGRATING THEORETICAL PERSPECTIVES: A TRANSACTIONAL ECOLOGICAL BIOPSYCHOSOCIAL FRAMEWORK The Case of Terry Hogan: A Brief Summation Our case formulations for Terry Hogan have provided increased awareness of how different theoretical perspectives can contribute to an overall understanding of the nature and seriousness of her depressive symptoms. For Terry, risk factors evident on several levels of Bronfenbrenner’s model (Bronfenbrenner & M orris, 1998) have added to the severity of her problems. At the individual level, Terry’s difficult temperament was a poor fit for her mother’s impatient, inherently negative, and hostile approach to parenting (authoritarian parenting style). At a biological level, it is possible that Terry inherited a genetic vulnerability to depression. Terry’s poor relationship with her mother and isolation from her peers have added to her feelings of being ineffectual, culminating in a sense of learned helplessness. Her tendencies to use withdrawal and avoidance, likely patterned after an avoidant attachment relationship, have successfully allowed her to escape from situations of discomfort (school and chores) by claiming to be feeling ill, which has resulted in these patterns being negatively reinforced, thereby increasing and strengthening this avoidant behavior pattern. Risks in the immediate environment, microsystem (home and school), exosystem (financial stress), and the overall cumulative effect of her experiences, chronosystem, suggest that Terry is in serious need of intervention. Her mother has focused on Terry as the “problem child,” allowing her to ignore major problems in the marital relationship. In addition to these underlying dynamics, Terry is at increased risk for major depression and possibly a suicide attempt because of the presence of a multitude of risk factors. It is unknown whether her recent move to Tennessee will provide a more stable environment with increased support from her aunt’s family or begin a spiral that leads to increased symptoms of depression and increased risk for suicide. Post-Case Questions At the end of every case, you will find a series of post-case questions that are intended to assist you in consolidating the information from the case with information provided in the Introduction to Chapter 1, Appendices, and any outside readings that may be suggested. 1. Terry’s family seems to have a history of depression. From a biological perspective, what are the potential dynamics that might be involved in inheriting the risk for depressive symptoms? What are some of the positive and negative issues and implications regarding medical management of depression symptoms for Terry, based on the research findings regarding children her age and given the family dynamics? 2. Terry’s lack of compliance may be explained from a behavioral perspective by using the ABC paradigm (antecedent, behavior, consequence). How would coercion theory explain the dynamic of escalating aversive responses between Terry and her mother? Develop a behavioral intervention plan to assist Terry and her mother with her noncompliant behaviors. 3. Terry and her mother often engage in communication that is high in “expressed emotion.” From a cognitive perspective, this communication style has been associated with a number of negative outcomes. Explain how this dynamic works and apply this to exchanges between Terry and her mother. What suggestions would you have for improving the interactions? 4. Explain how Terry’s attachment history and attachment pattern can be used to better understand the underlying dynamics in this case. Be sure to include information on attachment from the Introduction to Chapter 1, regarding the ecological developmental framework (Greenberg, 1999) and Strathearn’s (2011) work on neurobiological factors influencing maternal responsiveness. 5. The authoritarian parenting style can often result in an avoidant attachment pattern. Explain how this applies to Terry’s case. Beauchaine et al. (2002) suggest the need for treatment plans to target the underlying processes of negative attribution bias and poor affect regulation that may develop from harsh parenting styles. How would you address these issues therapeutically in Terry’s case and what do you see as your biggest challenges to being successful? 6. Using Brofenbrenner’s ecological transactional model as a framework, discuss the risks and protective factors that exist for Terry given the dynamics in her case. 7. Suggested individual or group presentation activity: The principal has called a parent–school meeting to discuss concerns about Terry’s progress and her future. Assign roles to individuals who will role-play important individuals in Terry’s life and how they would interact in this situation. Develop important questions for each of the players who can add information to the case. Some of the casting members might be Terry, Terry’s mother, Terry’s father, Terry’s grandfather, Terry’s teacher, the psychologist, and any other individual that you feel might contribute to an understanding of the case and assist with developing an overall case formulation and treatment plan. REFERENCES Ainsworth, M . D. S., Blehar, M . C., Waters, E., & Wall, S. (1978). Patterns of attachment. Hillsdale, NJ: Erlbaum. Apter, A., Kronenberg, S., & Brent, D. (2005). Turning darkness into light: A new landmark study on the treatment of adolescent depression. Comments on the TADS study. 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A relational diathesis model of hostile-helpless states of mind: Expressions in mother–infant interaction. In J. Solomon, & C. George (Eds.), Attachment disorganization (pp. 33–70). New York, NY: Guilford Press. M arvin, R. S., & Stewart, R. B. (1990). A family systems framework for the study of attachment. In M . T. Greenberg, D. Cicchetti, & E. M . Cummings (Eds.), Attachment in the preschool years: Theory, research, and intervention (pp. 51–86). Chicago, IL: University of Chicago Press. Nomura, H., Inoue, S., Kamimura, N., Shimodera, S., M ino, Y., Gregg, L., & Tarrier, N. (2005). A cross-cultural study on expressed emotion in careers of people with dementia and schizophrenia: Japan and England. Social Psychiatry and Psychiatric Epidemiology, 40(7), 564–570. Patterson, G. R., Capaldi, D., & Bank, L. (1991). An early starter model for predicting delinquency. In D. Pepler, & K. H. Rubin (Eds.), The development and treatment of childhood aggression (pp. 139–168). Hillsdale, NJ: Erlbaum. Pliszka, S. R. (2002). Neuroscience for the mental health clinician. New York, NY: Guilford Press. Rubin, K. H., Hymel, S., M ills, S. L., & Rose-Krasnor, L. (1991). Conceptualizing different developmental pathways to and from social isolation in children. In D. Cicchetti, & S. L. Toth (Eds.), Rochester symposium on developmental psychopathology: Vol. 2. Internalizing and externalizing expressions of dysfunction (pp. 91–122). Hillsdale, NJ: Erlbaum. Rutter, M ., Silberg, J., O’Connor, T., & Simonoff, E. (1999). Genetics and child psychiatry II: Empirical research findings. Journal of Child Psychology and Psychiatry and Allied Disciplines, 40, 19– 55. Settlage, C. F. (1977). The psychodynamic understanding of narcissistic and borderline personality disorders. Advances in developmental theory. Journal of the American Psychoanalytic Association, 25, 805–833. Siegel, D. (1999). The developing mind: Toward a neurobiology of interpersonal experience. New York, NY: Guilford Press. Silberg, J., Rutter, M ., Neale, M ., & Eaves, L. (2001). Genetic moderation of environmental risk for depression and anxiety in adolescent girls. The British Journal of Psychiatry, 179(2), 116– 121. Speltz, M . L. (1990). Contributions of attachment theory to the treatment of preschool conduct problems. In M . T. Greenberg, D. Cicchetti, & M . Cummings (Eds.), Attachment in the preschool years: Theory, research and intervention. Chicago: University of Chicago Press. Strathearn, L. (2011). M aternal neglect: Oxytocin, dopamine and the neurobiology of attachment. Journal of Neuroendocrinology, 23(11), 1054–1065. Thase, M . E., Jindal, R., & Howland, R. H. (2002). Biological aspects of depression. In I. H. Gotlib, & C. L. Hammen (Eds.), Handbook of depression (pp. 192–218). New York, NY: Guilford Press. Whitney, D. G., & Peterson, M . D. (February 2019). US national and state-level prevalence of mental health disorders and disparities of mental health care use in children. JAM A Pediatrics, 173(4), 389–391. Wuerker, A. K., Haas, G. L., & Bellack, A. S. (2001). Interpersonal control and expressed emotion in families of persons with schizophrenia: Change over time. Schizophrenia Bulletin, 27, 671–686. CASE 2 JEREMY JONES : MOMMY AND ME AND GRANDMA MAKES THREE: DEVELOPING AN INTERVENTION PLAN Jeremy is a 6-year-old Caucasian boy who came to the clinic accompanied by his mother, Debbie, and his maternal grandmother, Blanche. Jeremy was referred for assessment by his pediatrician. Despite trials of numerous medications and doses, Jeremy has continued to demonstrate problem behaviors that are hyperactive, impulsive, and noncompliant. Jeremy currently takes Adderall twice daily (morning and noon) and risperidone (Risperdal) three times daily (morning, noon, and evening). Jeremy has been taking Adderall for 2 years and risperidone for the past year. Although Jeremy appears to be a very bright boy, he is currently repeating the kindergarten program, since he was considered “too immature” to progress to Grade 1. DEVELOPMENTAL HISTORY/FAMILY BACKGROUND Jeremy’s mother provided the following background information. Jeremy weighed 7 pounds 6 ounces at birth. Although the pregnancy, labor, and delivery were all normal, Jeremy was severely jaundiced at birth. As a result, he remained hospitalized for 5 days while he was placed under special lights called bili lights to alleviate the jaundice. Neonatal jaundice was the result of G6PD deficiency (an inherited human enzyme deficiency), a condition that causes an allergic reaction to fava beans, which can induce a severe anemic response. A similar response could develop if Jeremy developed viral hepatitis or pneumonia. He is monitored by his pediatrician, and all medication trials have been closely supervised. Jeremy has had no adverse reactions to the Adderall or the risperidone. Jeremy’s milestones were advanced: walking at 8 months and speaking in simple phrases at 7 months. However, Jeremy continues to exhibit articulation problems, which his mother attributes to constant bouts of recurring ear infections. M other and grandmother reported that by 2½ years of age, Jeremy was using words such as humiliation and victimization in his conversation and would have long conversations about experiments he was conducting in his “laboratory.” Currently, Jeremy is receiving assistance for articulation from the speech pathologist at the school. Shortly after his second birthday, Jeremy began to say “No” to everything, and power struggles have been ongoing ever since. According to grandmother, “Jeremy is as stubborn as a mule!” However, as much as Jeremy will say “No” or “I amn’t gonna’ do it,” he will not take no for an answer. Jeremy coined the word amn’t as a short version of “am not” when he was about 2 years of age, and his mother and grandmother continue to find it very amusing and repeatedly taunt him with it, saying they “amn’t gonna’ do it either.” Apparently, Jeremy will argue about anything and everything and will “throw a fit” if he does not get his way. Although he likes to be challenged by doing difficult tasks (multipiece puzzles), he is very quickly frustrated and easily upset when he cannot solve something. His mother believes Jeremy’s stubbornness and strong desire to be first have caused problems at school, since Jeremy will push others out of the way in order to be first, and many of the other children avoid him. Reportedly, Jeremy loves to go to school, but adjusting to formal school routines and expectations has been difficult for him. His impulsive and willful behaviors get him into trouble, and his tendencies to carry boisterous and loud activities from the schoolyard into the classroom are disruptive. Jeremy was retained in kindergarten due to issues of immaturity, problems relating to peers, and lack of productivity regarding academic schoolwork. His teacher was unable to estimate Jeremy’s current levels of functioning due to issues of noncompliance and failure to complete assigned work. Jeremy was described as a very active and curious toddler. He was generally a good sleeper (the mother said that he just wore himself out) and had a good appetite. When asked about any health issues, the mother stated that Jeremy has been in good health. He has not had an ear infection in the past 2 years. He is vulnerable to skin rashes and seasonal allergies. They believe that Jeremy inherited both of these conditions from his grandmother, who has significant bouts of psoriasis and allergies to pollens and grasses. During the interviews, Grandma’s psoriasis was very noticeable, as patches covered her exposed arms. According to his mother, Jeremy has always had his “good days and bad days.” He can be fun and playful, but then again, he can be very difficult and demanding. There were some difficulties with potty training and once again, his caregivers suggested this might be due to Jeremy’s stubborn nature. Grandmother was quite proud of the fact that her potty training methods made the difference in Jeremy finally becoming trained. Grandmother said that eventually he was trained by 3 years of age; however, she attributes successful training to monetary rewards. At one point, grandmother was rewarding successful potty episodes at $5.00 each. There is a history of mental instability in the maternal family. Jeremy’s mother and grandmother are currently on medication for depression (Prozac), and Jeremy’s mother, Debbie, said that she has suffered from episodes of depression “on and off” for years. She did not do well in school and also wonders whether she has a learning disability or attentional problems. M other is 25 years of age, is unemployed, and is currently taking one course at the local college. Grandmother is 55 years of age and is on a small disability pension. Grandmother reports that she is a highly anxious individual, as well as depressed, and “worries” about most things. Blanche said that most people in the family have “some mental problem or another” and added that her sister (Jeremy’s great aunt) will not leave the house (agoraphobic) and has panic attacks. Apparently, the maternal grandfather is an alcoholic and is also subject to violent outbursts and depression (bipolar); his inability to tolerate medication made him “impossible to live with.” Shortly after Jeremy’s birth, Blanche moved in with her daughter and Jeremy to help with child‐ rearing, since Debbie suffered an episode of postpartum depression lasting about 3 months. During this period, Debbie spent much of her time in bed sleeping, while Blanche cared for Jeremy. She said that she was “very anxious,” since she had not cared for a baby in 20 years and was fearful that she might do something wrong. Debbie reported that Jeremy’s birth father told her he was “clinically classified as insane” and that he often engaged in reckless, dangerous behaviors and had been in trouble with the law. Jeremy has had no contact with his birth father or grandfather since his birth. Debbie had little information about Jeremy’s birth father, other than his problems with the law and thought that his family had always lived in the southern United States. Debbie admitted that she only knew Jeremy’s father for a few months before she got pregnant and that he left shortly after she told him she was having his child. Blanche stated that she was unsure of where her family originated from but the last three generations all had lived in New York State. Debbie was in a car wreck 9 months ago, when her car was sideswiped by a truck. Although she was not hospitalized, she did sustain major bruising and continues to receive chiropractic treatment twice a week. Apparently, a teacher at Jeremy’s school showed Jeremy a picture of the car, which had appeared in the newspaper, and Jeremy was so upset that he did not want to separate from his mother to go to school for the next 6 weeks. This has been a very difficult time for the family because of the stress of the accident and Jeremy’s behaviors. School attendance has been sporadic, since some days, Blanche does not have the energy to “drag” Jeremy to school while Debbie is recuperating from her injuries. REASON FOR REFERRAL When asked the primary reason for having Jeremy assessed, the caregivers’ immediate response was that the pediatrician had recommended it. When pressed further, both stated that they were very interested in knowing what Jeremy’s IQ was. There was no mention of possibly finding a solution to managing his behavior problems. ASSESSMENT RESULTS Descriptions of the test instruments used in this assessment and guidelines for interpretation of standard scores and T scores are available in Appendix C. Jeremy literally exploded into the clinician’s office, abruptly letting go of his mother’s hand and immediately trying to pry open the test kit on the table. The psychologist was able to halt further efforts to dismantle the test kit with a firm, “Not yet, Jeremy,” while providing drawing paper and markers for his immediate attention. Despite his whirlwind arrival, his mother confirmed that Jeremy had taken his medication prior to coming. M other left immediately after introducing Jeremy to the psychologist, and Jeremy evidenced no noticeable reaction to being left with a stranger or to his mother’s departure. Although the psychologist attempted to engage Jeremy in conversation, his poor articulation skills made conversation difficult. Jeremy was far more interested in getting to the test materials, which were undoubtedly the “good stuff” of the assessment for him. Test behaviors and learning style revealed a youngster who was highly active and very fidgety and restless throughout the assessment sessions. Although he was responsive, he did have some difficulty staying on task when required and in complying with specific requests. Jeremy had trouble remaining seated and took turns sitting, standing, kneeling, rocking, and walking around the room. Attention span and compliance with task demands varied considerably across tasks. Tasks requiring manipulation of materials and hands-on activity were met with far more enthusiasm and focus than verbal tasks. He responded poorly, if at all, to questions that required oral responses and provided minimal visual input. During the vocabulary test, rather than providing oral answers in response to word definitions, Jeremy delighted in giving clues to the psychologist in visual form in a game-playing type of format. When asked to spell the word cat on the test protocol, Jeremy jumped out of his chair and drew a large picture of a cat on the blackboard. When asked to describe what a “clock” was, Jeremy made an arrow on the blackboard in the room pointing to the clock above it. When asked for a definition for the word hat, Jeremy again ran to the blackboard and added a hat to his drawing of the cat. On tasks that were maximally engaging (blocks, puzzles, working with pictures), it was often necessary to curb Jeremy’s enthusiasm. On these tasks, Jeremy often attempted to grab test materials before they were introduced and ignored instructions to wait until materials were presented. Jeremy was very intent on pursuing his own agenda, and there were frequent compliance issues. Redirection to task was frequently required throughout the assessment. There were two 35minute assessment sessions, 1 week apart. At the completion of the first session, Jeremy heard the elevator and immediately ran out of the room and down the hall toward the top of a long staircase. The psychologist was concerned about safety since Jeremy could easily have fallen down the stairs. M other and grandmother took the opportunity to scold Jeremy for his behavior and, as punishment, canceled plans to stop at a restaurant on the way home. When engaged in a task he enjoyed doing, Jeremy was able to attend to the stimulus materials adequately and problem‐solve without impulsive responding. He did evidence frustration on occasion, when he was unable to obtain an adequate solution, and appeared fatigued after working unsuccessfully on a block design for 1½ minutes. However, he was able to regroup and was more successful on the next two designs attempted. His speech evidenced many sound substitution errors (“wabbit” for “rabbit” and “ewebwoddy” for “everybody”) and cluttering of words resulting in indistinct utterances. However, Jeremy readily repeated phrases when asked for clarification. Responses to the Wechsler Intelligence Test for Children (WISC-V) revealed that Jeremy’s Verbal Comprehension Index (VCI) was within the average to high average range at approximately the 66th percentile (VCI range 99–112). Jeremy’s scores for Visual Spatial Index (VSI) and Fluid Reasoning Index (FRI) were both within the Very High Range (VSI range 121–137; FRI range 118–135). His overall score for nonverbal learning (Nonverbal Learning Index, NVI, range 123–135) was significantly higher than his VCI. Given the significant discrepancy between scores in the verbal and visual areas, the full-scale IQ was not calculated, since it would merely represent the numerical average of three very discrepant scores (Kaufman & Lichtenberger, 2000). Caution should be used in interpretation of the VCI score as a valid indicator of Jeremy’s verbal skills, since his motivation and cooperation were questionable during the administration of the verbal items. Given Jeremy’s attention span and interest level, it was not possible to administer tasks for the Working M emory Index (WM I), including digit recall and number–letter sequence. He did, however, complete the coding and symbol search tasks of the Processing Speed Index (PSI) well above average (scale score of 16 for the coding test and scale score of 13 for symbol search). Scores for visual reasoning were more consistent and revealed very strong performance overall. Relative strengths were noted in figure weights, visual puzzles, matrix reasoning, and block designs, all of which were at the 98th percentile. Academically, Jeremy’s responses to the Wechsler Individual Achievement Test (WIAT-III) revealed inconclusive information, since Jeremy completed only those questions he wanted to try. When asked to draw a boy, Jeremy stated that he would draw a man instead. The drawing was very immature in areas of line juncture and body proportion. Jeremy participated in providing responses to the Joseph Pre-School and Primary Self-Concept Screening Test. Jeremy’s responses indicated that his global self-esteem was within the high positive range. During the clinical intake interview, Jeremy’s mother completed several checklists derived from criteria outlined in the Diagnostic and Statistical Manual of Mental Disorders (DSM-5; APA, 2013). M other endorsed the following items from the attention deficit/hyperactivity disorder (ADHD) scale as occurring often or always: fidgets with hands or feet (squirmy); has problems awaiting his turn; problems playing quietly; problems sustaining attention in tasks; does not listen; problems organizing tasks; problems remaining seated; easily distracted; forgetful; loses necessary items; runs about and climbs incessantly; often on the go, driven; blurts out answers before questions are asked; and avoids tasks that require sustained mental effort. On informal scales for problem behaviors, Jeremy’s mother noted that he was very often “noncompliant” and “defiant” and that he could, at times, be very difficult to deal with. Particular behaviors that occurred frequently included the following: loss of temper; blames others for his mistakes; argues with adults; touchy, easily annoyed; and actively defies or refuses to comply with adult requests. In addition to informal diagnostic scales, Jeremy’s mother also completed the Conners Parent Rating Scale (Conners 3) and the Child Behavior Checklist (CBCL). According to ratings on the Conners and CBCL, Jeremy demonstrated clinically significant symptoms of ADHD, predominantly the impulsive/hyperactive presentation. In addition, oppositional defiant behaviors and perfectionistic tendencies were also in the clinical range. There were indications that Jeremy complains of physical symptoms more than the average child and that he can be prone to anxiety. Symptoms of distractibility and tendencies to perseverate on ideas were evident on the CBCL. As part of the intake information, the mother also completed the Parenting Stress Index (PSI; Abidin, 1995) where she rated Jeremy at or above the 99th percentile for distractibility/hyperactivity, inability to adjust to changes in environment, and demandingness. Elevations on these scales are typical for parents of children with ADHD, with demandingness often at the peak scale (Abidin, 1995). With respect to family stresses, the mother endorsed only concerns about her health as a significant stressor. The grandmother declined to complete any forms, saying that “Debbie is the mother.” Jeremy’s teacher completed the Conners 3 Teacher Rating Scale and the Teacher Report Form (TRF: Achenbach). Although the teacher ratings were less elevated than Jeremy’s mother’s ratings in all areas, his teacher also noted some concerns regarding perfectionistic tendencies. According to the TRF, hyperactive-impulsive behaviors were at the 95th percentile, indicating significant difficulties in this area. In addition, thought problems were also noted. Based on assessment results, intake information, and clinical observations, the psychologist produced the following preliminary summary and diagnostic impression. Summary of Jeremy’s Formal Assessment Jeremy is a 6-year-old boy who is currently repeating kindergarten at J. J. B. Elementary School. Jeremy is a bright and engaging child; however, he is experiencing difficulties at home and at school as a result of hyperactive and impulsive behaviors and tendencies to be noncompliant in situations when he is not in control and when he is expected to follow directions that may or may not be to his liking. Although Jeremy scored in the superior range on tasks of visual reasoning, his scores on verbal reasoning tasks were less impressive due to several factors, including Jeremy’s lack of interest and motivation to respond to verbal tasks. It is suspected that his weaker performance on verbal tasks reflects his lack of task engagement rather than his learning potential. Despite his excellent reasoning ability, Jeremy maycontinue to experience difficulties due to poor ability to regulate activity levels relative to task demands; Jeremy was either understimulated (task was not interesting to him) or overstimulated (task was very exciting). In the former case, Jeremy revealed poor attention span and distractibility, whereas in the latter case, he showed poor restraint and impulsivity. Problems with compliance were also noted throughout, suggesting that Jeremy has developed a strong repertoire of manipulative strategies that may be more resistant to correction than if he were not so high functioning. Another way in which his superior intelligence may be a risk factor is that Jeremy’s lack of success academically may be even more frustrating for him. The significant discrepancy between VCI and NVI may also indicate a specific learning disability, which might complicate academic progress. Certainly at this point, Jeremy’s academic skill levels are virtually nonexistent. Whether academic difficulties result from a specific learning disability or an inability to apply himself to the task at hand remains to be seen. The mother and grandmother jointly completed the Home Situations Questionnaire (Barkley, 1997) to provide increased understanding of the nature of Jeremy’s noncompliant behaviors and how they were being managed within the home. The Home Situations Questionnaire classifies compliance problems in three areas within the home: instructions, commands, and rules. Results revealed four primary problematic situations: when adults are talking on the telephone, when adults are watching television, when Jeremy is asked to do chores (cleaning the room), and when Jeremy is asked to do homework. Problem areas were discussed at length, and the caregivers engaged in role-play to demonstrate how each would interact with Jeremy under problem conditions. Based on the dialogue and role-play, two areas of compliance difficulty were targeted for further investigation. The caregivers selected problems with chores (specifically, when Jeremy is asked to clean up his room or pick up his toys) and talking on the telephone (Jeremy’s intrusiveness when mother or grandmother is occupied) as the two problem areas of most concern. 1. Compliance with requests to clean his room: M om and grandmother agreed that when asked to clean his room, Jeremy typically engages in argumentative behaviors (why he should not have to do it), delay tactics (says he will do it later), manipulations (asks for help), or refusals (says he cannot or will not do it). There was also agreement about the methods used by each parent, saying that each had figured out the “good cop, bad cop” routine was not working, nor was the mother’s response to count to three. Jeremy had pretty well figured out that most times there was not going to be anything happening after the three count, so this was not very effective. M om’s response to Jeremy not cleaning his room usually involved yelling and screaming. She proudly described a recent situation in which Jeremy yelled back at her “as loud as possible,” but the mother retaliated even more loudly, just to show him that she could outscream him. He tried but he could not do it; as a result, his mother said he had learned the lesson that she screams the loudest. While the mother screams, the grandmother basically gives in and cleans the room for him to avoid any further problems. A functional behavioral assessment and behavioral intervention plan to increase compliant behaviors will be discussed as a treatment alternative later in the chapter. 2. Interruptions while trying to talk on the telephone: Specifically, “Jeremy will stand in your face and talk at you, so you can’t hear the person on the telephone; he won’t wait until the call is finished.” The mother’s typical response is to take the phone outside (if the weather is nice) or to yell at Jeremy. The grandmother reports getting very upset with him and hanging up the phone as a result. ISSUES, TRENDS, AND TREATMENT ALTERNATIVES Developing a Case Formulation From Several Perspectives Biological Perspective Jeremy has a long history of family psychopathology (Cicchetti & Toth, 1998), including attention problems (mother and possibly father); mood disorders (mother, maternal grandmother, possibly maternal grandfather); anxiety disorders (grandmother, potentially maternal aunt); substance abuse (maternal grandfather); and antisocial personality disorder (father). Studies reveal that 50% of parents with ADHD have a child who is also ADHD (Biederman et al., 1995). Genetic transmission for depression is estimated to be between 20% and 45% (Rutter, Silberg, O’Connor, & Simonoff, 1999), with almost half developing bipolar disorder; odds for bipolar increase if there is a family history for the disorder (Geller et al., 2002). General anxiety disorder, panic attacks, or obsessive thoughts and behaviors result from malfunctions of GABA (gamma-aminobutyric acid), which normally inhibits arousal, resulting in heightened levels of stimulation (Lloyd, Fletcher, & M inuchin, 1992). Heritability of GABA malfunction can be as high as 30%–40% (Eley, 1999). If antisocial personality disorder is present in the immediate family, there is an increased risk for aggressive and disruptive behavior disorders (DSM-5; APA, 2013). Studies have found that individuals with disorders of impulse control, such as antisocial personality disorder, react to stressful circumstances in a dysregulated and destructive manner, often directing their destructive actions toward violation of the rights of others. In these cases, individuals who inherit the short allele (5-HTT) of the serotonin neurotransmitter react with heightened activation of the amygdale and cortical systems (Barr et al., 2003; Hariri et al., 2002). During these stressful episodes, aggressive behaviors (destructive impulses toward others) become more probable (Stanley, M olcho, & Stanley, 2000). LyonsRuth et al. (2007) found that the short form of the 5-HTT was linked to an increased risk for antisocial symptoms; individuals who had inherited the short form of the serotonin transporter allele were twice as likely to express impulse disorder symptoms, whereas those who inherited two of the short alleles were at four times the risk of developing impulse disorders. Child temperament can be another biological marker influencing a child’s response to his or her environment. Rydell, Berlin, and Bohlin (2001) studied children who were high on emotionality (intensity of emotional arousal) and low on social adaptation (respond to emotionally charged situations in either a flight [withdrawal and avoidance] or fight [anger and aggression] pattern). They found that children with this combination were poorly equipped to manage their emotional responses to environmental demands. Although previous research has demonstrated that maladaptive responses occur under highly negative conditions (e.g., internalizing children would withdraw and avoid social contact, while externalizing children would aggress and break rules), Rydell et al. (2001) found that children with externalizing problems escalated out of control in highly positively charged situations as well (e.g., the child cannot manage negative or positive emotions). Although above-average intelligence is usually thought of as a protective factor (Luthar & Zigler, 1992), in Jeremy’s case, superior intelligence may place him at greater risk for maladaptive behaviors, if he uses his intellectual capacity to “outwit and outsmart” his caregivers by developing manipulative strategies and engaging them in power struggles. Environmental factors can interact with biological traits and vulnerabilities in a way that exacerbates existing conditions. Barkley (1997) suggests a four-factor model to explain factors that can maintain and increase noncompliant behavior. According to this model, predisposing characteristics are 1. The temperament of the child (temperamental, high emotional reactivity, impulsive, active, inattentive) 2. The temperament of the parents (immature, temperamental, impulsive) 3. Child management patterns (inconsistent, harsh, indiscriminate, and coercive parenting, poor monitoring of child activities) 4. Distressed family environment (financial, health, and personal stressors) The model is well suited as a framework for developing case formulations that can integrate information across theoretical models. Disruptive behaviors can be enduring, with patterns of persistent oppositional and aggressive behaviors beginning in the preschool years and persisting across development (Owens & Shaw, 2003). Jeremy has several risk factors for the development of disruptive behavior patterns. Historically, Jeremy’s temperament has been problematic in areas of adaptation to change and emotional reactivity, resulting in difficulties with emotion regulation (Bridges & Grolnick, 1995; Rothbart & Sheese, 2007). When we place this temperament pattern within the context of the underlying dynamics inherent in this mother–grandmother‐parented family that often seems to shift roles as to who is the parent and who is the child, the problems increase in intensity. Other environmental risk factors for disruptive behavior disorders include insecure attachment (Rutter, 1995; Sroufe, 1997), cycles of maternal depression and rejection (postpartum depression), child aggression and impulsivity (Owens & Shaw, 2003), poor school adjustment, and lack of positive peer relationships (Blum et al., 2000). M aternal depression with features of irritability, criticism, and lack of positive affect can also increase the risk of disruptive behaviors in children (Aguilar, Sroufe, Egeland, & Carlson, 2000). Parenting, Attachment, and Family Systems Perspective Insecure attachment may pave the way for Jeremy to develop separation anxiety in response to his mother’s recent car accident, resulting in excessive need for proximity and heightened fears of possible loss. When placed in fearful situations, being soothed by the parent can assist the infant in building brain structures that can help regulate responses to fearful situations in the future. However, in dysfunctional attachment relationships, caregivers do not provide assistance in the regulation of emotions, such as fear, and actually can become a fear-provoking agent. In these circumstances, infants do not learn how to self-soothe in stressproducing situations. Lyons-Ruth et al. (2007) found that early childcare problems resulted in negative outcomes several years later. As a result, Lyons-Ruth (2008) suggests that “disruptions in early mother–infant communication are clearly important to long-term prediction of some forms of psychopathology” (p. 209). Since early attachment patterns provide the schema for later relationships, Lyons-Ruth goes on to suggest that contradictory cues may disable an individual’s ability to develop an appropriate working model for relationships. Pertinent to Jeremy’s case, research has also found transgenerational effects that explain how the controlling pattern of hostile, punitive, or rejecting behaviors of mothers with insecurely attached boys with oppositional defiant disorder mimic their own backgrounds of insecure attachment patterns (DeKlyen, Speltz, & Greenberg, 1996; Roelofs, M eesters, Ter Huurne, Bamelis, & M uris, 2006). Disruptive behaviors may play an instrumental role in the attachment process by acting to control and regulate caregiver proximity and attentiveness. Through the use of negative attentionseeking behaviors, such as noncompliance, the child can “lock in” attachment figures based on the use of negative attachment behaviors. It has been suggested that these maladaptive behaviors may fit with the overall schema of family dysfunction (M arvin & Stewart, 1990; Zvara et al., 2014). Family systems theory would recognize several problems inherent in this family triad that has few limits and very loosely defined boundaries. M other, grandmother, and Jeremy seem to be enmeshed in each other’s lives (M inuchin, 1985) and, as a result, Jeremy is often privy to information that is well beyond his years. It is also likely that triangulation can occur, with the balance of power and status shifting among the family members, depending on which two members are aligned together. Today, many grandparents fill the role of surrogate parent for their grandchildren (Edwards, 2003). Within the past 20 years, the number of grandparents who assume an active role in caring for their grandchildren has increased dramatically (Cox, 2000; Goodman & Silverstein, 2005). Currently, approximately 4.5 million children are living in grandparent-headed households (American Association of Retired Persons, 2007), with the average age of grandparents in this situation between 55 and 64 (Smith & Dannison, 2002). Within this situation, family members are often placed in a nonnormative relational context that can place grandparents in a conflicted relationship (Cox, 2000), and many grandparents have revealed feelings of being “torn” between tending to their grandchildren’s needs and the needs of their own adult children (M usil, Schrader, & M utikani, 2000). According to Cox (2000), this ambiguous role often leaves grandparents confused regarding how to define their position in the family, while at the same time feeling “responsible for shaping and giving meaning to this new identity, defining it according to their own personalities, resources, and values” (p. 6). In their research, Williamson, Softas-Nall, and M iller (2003) identified a number of positive feelings that grandparents associated with their surrogate role, including the emotional feeling of grandmothering and being able to contribute; however, a number of negative experiences were also revealed, including depression, financial worries, abuse and neglect of grandchildren, and problems with disciplining the children. Erbert and Alemán (2008) investigated the dialectical tensions inherent in the grandparenting experience and identified three contradictory processes that occurred in their sample: connection versus separation (a feeling of greater connectedness with their family is offset by the loss of their own retirement activities and fears about their inabilities to care for grandchildren), stability versus change (becoming reinvolved in the raising of children at a time when the intergenerational gap has widened, e.g., an inability to relate to their social world in the face of fears of increasing gang violence), and protection versus expression (fears of being unable to protect the children from threats that are so different from when they raised their children, e.g., gangs, kidnapping, molestation). Grandparents raising children are twice as likely to be diagnosed with depression than their peers who are not in a caregiver role (Fuller-Thompson, M inkler, & Driver, 2000) and experience lower levels of psychological well-being (Baker & Silverstein, 2008). Grandparent-headed households reveal a significantly higher rate for poverty level than parent-headed households, while children in these families are twice as likely to receive public assistance (Fuller-Thompson et al., 2000). Social Cognitive Perspective Parents of aggressive children may be unsuccessful in deescalating conflict due to a negative attribution bias regarding their aggressive children, blaming the defiant behavior on the child’s personality trait (e.g., stubbornness), which is beyond the parent’s control (Beauchaine, Strassberg, Kees, & Drabick, 2002; Dix & Lochman, 1990; Strassberg, 1995; Wang, Deater-Deckard, & Bell, 2013). Especially in ambivalent situations, or when compliance is not immediate, some parents may anticipate more defiance and resistance and act accordingly (Bargh, Lombardi, & Higgins, 1988; Wang et al., 2013). The coercion model describes the processes involved in the parent–child exchange that serve to precipitate and maintain aggressive and defiant behaviors (Campbell, Pierce, M oore, M arakovitz, & Newby, 1996; Dishion, Forgatch, Chamberlain, & Pelham, 2016; Patterson, Capaldi, & Bank, 1991; Snyder, Schrepferman, & St. Peter, 1997). Within this paradigm, parents’ negative schema drive coercive parenting practices that escalate and maintain aggressive child responses, in a pattern of increasing arousal that becomes negatively reinforced (Snyder, Edwards, M cGraw, Kilgore, & Holton, 1994). Observational studies of parent–child attempts at conflict resolution have determined that while mothers of nonaggressive boys are successful in decreasing conflict, mothers of aggressive boys tend to escalate conflict (Snyder et al., 1994). Parents of aggressive children generate fewer cognitive strategies for noncompliance (Azar, Robinson, Hekimian, & Twentyman, 1984; Dishion et al., 2016). Parent strategies are weakest when required to perform under pressured conditions and tend to dissipate over the course of several trials (Beauchaine et al., 2002). The authors recommend the need for treatment plans to target the underlying processes of negative attribution bias and affect regulation, which they suggest are the pivotal factors that drive coercive parenting patterns. Behavioral Perspective M ash and Terdal (1997) suggest that behavioral assessments provide a form of data collection that naturally lends itself to an increased understanding of the nature of a problem, the precipitating causes, treatment options, and potential outcomes. By maintaining a focus on the “observable,” the behavioral approach to case formulation distinguishes itself from other theoretical approaches that target underlying process. Based on results of the Home Situations Questionnaire, behavioral analysis revealed two situations that were especially problematic for Jeremy and his parents: 1. Problems with chores (noncompliance when asked to clean up his room) 2. Interruptions while trying to talk on the telephone (Jeremy’s demands for attention when parents are otherwise engaged, e.g., talking on the telephone) In the next section (treatment alternatives), a functional behavioral assessment is conducted and, based on the prevailing assessment information, a behavior intervention plan is developed for implementation in the home. The exercise demonstrates how behavioral assessment can be applied to this and future case studies. Treatment Alternatives and Developing an Intervention Plan Cognitive Behavioral Treatment The cognitive behavioral approach seeks to understand the link between thinking and behaving. Therefore, the cognitive behavioral therapist would focus on how Jeremy’s faulty belief system might contribute to aggressive behavior. Social cognitive treatment might involve role-play in such areas as social perspective taking, empathy, and self-control. Parent training using cognitive behavioral methods would focus on negative attributions, emotion regulation, and, ultimately, increasing effective strategies for behavior management. In their investigation of maternal responses to child noncompliance, Beauchaine et al. (2002) investigated whether parents using ineffective and harsh methods of discipline fail to generate alternative solutions due to an availability deficit (limited repertoire) or an accessibility deficit (processing deficit during times of stress). The authors contend that research support for the accessibility bias has important implications for parent training programs devoted to teaching parents alternate methods of child management, since parent attributions may undermine successful use of the skills taught. The authors emphasize the need to address negative attributions and adding an affect regulation component to parent training programs in order to enhance treatment effectiveness. Jeremy’s Functional Behavioral Assessment and the Behavioral Intervention Plan Functional Behavioral Assessment The behavioral framework consists of a four-stage process designed to identify the problem, analyze the problem, implement a plan, and evaluate the plan. Jeremy’s noncompliant behavior can be identified as a behavioral deficit (low levels of obedience) or a behavioral excess (high levels of noncompliance). Placing Jeremy’s behaviors within a functional behavior assessment paradigm (see Table C2.1), the goal is to identify the problem as it relates to precipitating conditions, consequences, and results. Table C2.1 One of his parents’ presenting complaints is Jeremy’s lack of compliance when asked to clean his room. In this case, the precipitating conditions would represent the requests initiated by the parents that would begin the behavioral sequence of events. When faced with these requests, Jeremy demonstrates the following repertoire of behaviors (argues, delays, manipulates, refuses). When faced with these behaviors, parents respond with a number of reactions or consequences ranging from doing the task themselves (in whole or part) to escalating battles that may end in either abandoning the request or in harsh punishment. See an outline of the Behavioral Intervention Plan in Table C2.1. Behavioral Intervention Plan In developing a behavioral plan, it is preferable to concentrate on increasing a deficit behavior rather than on reducing an excessive behavior. In this case, it is preferable to increase obedient behavior rather than to attempt to reduce noncompliant behavior, since increasing a positive behavior can be inherently rewarding in itself. At this time, the positive reinforcement that Jeremy is receiving due to his noncompliance far outweighs the occasional and inconsistent punishment he may receive. The behavior plan would be to shift the positive reinforcement to obedience rather than reduce noncompliance. Principles of operant conditioning predict that there are two options available for increasing or maintaining obedient behavior: positive reinforcement or negative reinforcement. Reinforcements are acts that have a positive outcome and, as such, will be rewarding, thereby increasing the likelihood that a behavior will be repeated. Positive reinforcement involves the addition of a reward (e.g., clean your room and you will get a sticker book). Positive reinforcement, however, is not always what it appears to be, and in Jeremy’s case, his parents unknowingly reinforce many of his negative behaviors in various ways: humor (suggesting acceptance), boasting (suggesting pride), and providing increased attention. In this case, Jeremy is rewarded by negative attention, which to Jeremy might be better than no attention at all. Negative reinforcement, not to be confused with punishment, is also rewarding because it involves the removal of a negative situation (e.g., if you clean your room, you will not have to take out the trash). Negative reinforcement has sometimes been called escape because it allows one to escape a negative consequence. Jeremy’s argumentativeness and noncompliance are often negatively reinforcing because they allow him to escape having to do a task. Principles of learning also provide a set of assumptions for reducing or eliminating behavior: punishment that involves adding a negative consequence or penalty, removing a positive reward. Complete withholding of any reinforcement will eventually result in elimination of the behavior, or what the behaviorists refer to as extinction. Although coercion theory from a cognitive framework attends to the underlying processes of negative attribution and emotion regulation, a behaviorist might use the theory to describe the antecedents and consequences of noncompliance. Parents who eventually yield to a child’s escalating and demanding behaviors serve to positively reinforce the child’s misbehavior (child eventually gets what child wants) and at the same time give negative reinforcement for their own compliance (cessation of whining and complaining). Therefore, the parent learns that giving in will stop the demands, while the child learns that increased demands result in parent compliance. Since positive and negative reinforcements serve to strengthen behaviors, parent and child become locked in to an escalating and never-ending battle. The importance of developing early treatment interventions to reduce noncompliant behaviors is evident in the repeated associations of defiant behavior and later maladjustment in adolescence and adulthood. In their meta-analysis of psychosocial treatments for children and youth with oppositional defiant disorder and conduct disorder, Brestan and Eyberg (1998) revealed behavioral parent training programs to be a successful method for reducing deviant behavior in young children. Home-based, parent-delivered interventions often are the result of programs directed toward parent management training (PM T), and research has demonstrated that between one-third and two-thirds of children show clinically significant improvement (Barkley, 1997, 2006; Kazdin, 1996, 2013). The rationale for PM T is based on the premise that coercive parent–child interchanges and environmental contingencies are predisposing factors in the development and maintenance of oppositional, defiant, and noncompliant behaviors. Given the dynamics involved in this family and the issues of compliance, the goal was to develop a home-based behavioral intervention plan. Barkley (2006) suggests a number of components that are helpful in organizing a behavior intervention plan, including assessment and establishment of a baseline, operationalizing treatment goals, psychoeducation for parents concerning issues of behavior management, monitoring, contingency management, generalization to other settings, maintenance and relapse prevention, and follow-up. A behavioral intervention program was developed for Jeremy for use in the home, based on behaviors targeted by mother and grandmother on the Home Situations Questionnaire. A written copy of “Jeremy’s Star Chart Program” was provided, outlining agreed-upon consequences for rule infractions, such as loss of stars, as well as other possible strategies (time-out, logical consequences, loss of privilege). A general description of possible rewards was discussed; however, it was urged that Jeremy also be involved in selecting some of the rewards to increase incentive and participation in the program. Goals of the behavior program were to assist with increasing compliant behaviors and applying a consistent approach to consequencing Jeremy for noncompliance. The program involved posting of house rules on the fridge and dealing with rule infractions through the use of (1) time-out, (2) logical consequences, and (3) a Response Cost Coupon Program. The Response Cost Coupon Program, called Jeremy’s Star Chart, was illustrated in a booklet with rules outlined for loss of stars, regaining of lost stars, and adding up of star gains to trade for rewards on the Star Chart menu. The program was monitored by weekly telephone contact. An example of the Star Chart is shown in Table C2.2. Table C2.2 Another powerful source of learning is observation. Bandura’s (1977) understanding of the social aspects of learning has been instrumental in increasing our awareness of the possible implications of observing the behavior of others. Children’s observation and subsequent modeling of adult behavior can have positive (nurturing and empathic caring behaviors) or negative (aggressive responses, e.g., witness of domestic violence) consequences. These responses can be immediately observable or can be evident in a delayed response. Research has repeatedly demonstrated that the nature of parent–child interactions is a strong predictor of childhood noncompliant, defiant, and aggressive behavior patterns. Poor management practices due to ineffective, inconsistent, and indiscriminate parental controls often result in overly harsh but inconsistent discipline and inadequate monitoring of activities. As a result, child noncompliance becomes an effective means of avoidance or escape from doing undesirable tasks such as picking up toys or cleaning a bedroom. M other and grandmother are often at odds over setting limits and often present Jeremy with contradictory messages. Grandmother is particularly reinforcing of Jeremy’s manipulations and often gives in, allowing his successful escape or avoidance of unpleasant tasks. Jeremy’s mother often responds with escalating and coercive responses (screaming as loud as possible), likely due to their occasional success (“he couldn’t scream as loud, even though he tried, so I won that time”). In this context, Jeremy has learned how to successfully avoid unpleasant tasks on the one hand and learned to model negative behaviors on the other. Post-Case Questions 1. Jeremy presents with symptoms of ADHD and ODD. Using the DSM-5 (APA, 2013) as a guide describes how Jeremy’s symptoms match criteria as outlined in the DSM-5. Based on what you have found, would Jeremy meet criteria for either disorder, and if so, which disorder(s) and why? 2. Jeremy’s parents indicated two areas on the Home Situations Questionnaire that were in need of behavior management. One problem, compliance with chores, was selected to demonstrate how a functional behavioral assessment and a behavior intervention plan were developed to assist in increasing compliant behaviors. What was the second problem that his parents identified? Conduct a functional behavioral assessment and develop a behavioral intervention plan to assist his parents with the second problem. 3. According to Bronfenbrenner (1989), the mesosystem predicts the degree to which a system remains healthy, functional, and in balance. Given the information you know about Jeremy’s family and the school system, describe what you believe the current status to be and how you would attempt to maximize the mesosystem between these two environmental contexts. 4. Using coercion theory as the overarching dimension, describe power struggles in the family from the viewpoint of cognitive, behavioral, and family systems theories. 5. From an attachment theory perspective, using information from the case study, the Introduction, and any related outside sources, describe the potential transgenerational effects that are underlying problems with the parent–child interaction. How does having the grandmother living in the home contribute or moderate the effects of attachment issues? 6. Child temperament can be another biological marker influencing a child’s response to his or her environment. Using information from the case study, the Introduction, and any related outside sources, discuss the role of temperament in influencing Jeremy’s response to situations and other individuals. Explain how this can be better understood within the context of epigenesis. 7. Suggested individual or group presentation activity: The teacher has asked Jeremy’s mother and grandmother to attend a meeting at the school to address Jeremy’s increasing noncompliance and difficulties with emotion regulation, especially during less-structured activities. Jeremy’s mother has requested that the psychologist come to the meeting to share the results of the assessment and assist with planning a behavior program for Jeremy. 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CASE 3 NEESHA WILSON : PHOENIX RISING: RISKS, PROTECTIVE FACTORS AND PSYCHOLOGICAL WELL-BEING Neesha Wilson, a 10-year-old African American girl, was referred for assessment to the school psychologist as a result of a child study team meeting held at the school in M ay. Presenting problems included poor school progress and escalating behavioral concerns. It was the school’s impression that Neesha might qualify for special education assistance as a child with an emotional disorder. Currently, Neesha has an older brother, Tyrone, who is attending an alternate school program for children and youth with severe emotional disturbance. DEVELOPMENTAL HISTORY/FAMILY BACKGROUND The school social worker completed Neesha’s initial workup just prior to the end of the academic term; intake information is summarized as follows: Neesha lives with her 15-year-old brother, Tyrone, and her mother in a two-bedroom apartment. The social worker described the apartment as tiny but very well kept. Neesha has her own bedroom, and Tyrone sleeps on the couch, which folds out into a bed. The social worker noted that it was difficult to book an appointment with M rs. Wilson, who was reportedly working two jobs: cleaning offices and working as a hairstylist. M rs. Wilson graduated from hairstylist classes last year. Although her career as a hairstylist has a lot of potential, she is only beginning to develop clientele. She also works part time cleaning offices. Despite the lack of financial resources, the children were clean, well dressed, and did not miss any meals. The children were on the free lunch program at the schools. According to M rs. Wilson, Neesha’s early history was unremarkable and motor and language milestones developed on schedule. An immediate concern of the social workers centered on who cared for the children when their mother, Tanya, had to work evenings cleaning offices. Tanya stated that it was not a problem for her because she would either send the children to her sister’s apartment a few blocks away or have a cousin who lived in the building check in on the kids. Also, Tyrone was 15, so he was capable of watching his sister, although she preferred to have an adult nearby, given Tyrone’s behavior problems. Neesha’s mother described her as an easy baby and said that she never really had any problems with her. She added that it was Tyrone who was giving her all the problems, not Neesha. The family had struggled since her husband, Walt, left the family about 3 years ago, when Neesha was in the first grade. In the past 2 years, Walt has had virtually no contact with the children. He moved in with his girlfriend and their 1-year-old baby and recently moved to another state. Neesha was very upset with the marriage breakdown and misses her father very much. Neesha visited with her dad and his new family, initially, but was very disappointed that the visits were neither consistent nor more frequent. Neesha did not like Walt’s girlfriend and felt that her father was more interested in the new baby than her. According to Tanya, Neesha often talks about wanting to visit her father and continues to set herself up for disappointment. Tanya blames Walt’s lack of involvement with the children for Tyrone’s problems, which became more severe after Walt left. When Walt moved out, Tanya could no longer afford to live in the apartment they were living in. Tanya described the previous 2 years as very difficult for her and the kids. As Tanya spoke, the social worker noted in the file that the mother’s affect was very flat. She also seemed preoccupied with her financial situation and said that at times she just was not sure how she would make the rent. They have struggled to survive financially, and Tanya often gets depressed and—if she is not working the evening—either goes to bed early or cries herself to sleep. On these occasions, Neesha is very quiet and tries to comfort her mother. Tanya said that when she woke up the other morning, Neesha had placed a handmade card on her pillow. The card was decorated with hearts and bows and huge letters: “I love you, M om. Neesha.” Tanya said she did not understand why Neesha was doing so poorly in school because she seemed to love to “play school” on the weekends and in the evening. When asked whether Neesha has demonstrated any behavior problems at home, Tanya said she is more like a little mother than a kid and has no behavior problems at all. Her brother is the problem; Neesha is more like a little adult. She described Neesha as a sweet and loving child who always tries to please. The social worker expressed her concern to Tanya about her own symptoms of depression and fatigue and wondered if Tanya might see her physician for a referral to talk to a counselor. The social worker stated that she was concerned because Tanya seemed overwhelmed by all the financial stresses the family faced that seemed to be taking their toll on her emotionally. However, Tanya was quick to say that the extended family was very supportive and that her two sisters were always there for her to talk to when she needed it. She also said that her church was a continued source of comfort and support for herself and the children. In addition to information obtained from the clinical interview, the social worker also had Tanya complete the Behavioral Assessment System for Children (BASC-2). In August, at the beginning of the new term, the school psychologist completed a review of Neesha’s cumulative school record and obtained teacher ratings (BASC-2) from her previous years’ teachers, which were on file in the guidance office. Neesha’s school record contained the following additional information. Neesha began her formal schooling at Franklin Elementary School but transferred schools midway through the Grade 1 program. She completed Grade 1 and Grade 2 at Vista Springs Elementary. She has been attending Heartfield Elementary since her enrollment in the Grade 3 program. Neesha is currently repeating the fourth grade. Neesha’s records reveal that her Grade 3 teacher was concerned because Neesha was repeatedly falling asleep in class. Because Neesha seemed overly fatigued, her mother took her to the family physician to check out any possible physical causes; however, no medical reason was evident to explain her fatigue. Last year, Neesha was absent 15 days. On the days she attended school, Neesha was late more than one-third of the time (51 days). The school counselor had written a summary report based on her observations of Neesha in the classroom, toward the end of the Grade 4 program, when the paperwork was being collected for her assessment in the fall. The notes indicated that Neesha was off task (daydreaming, looking out the window, staring out into space) for the majority of time that she was observed. The observation supported teacher comments that Neesha often failed to complete her seatwork and handed in assignments unfinished. During another observation session, the counselor recorded that during a 25-minute seatwork session, Neesha completed only 2 out of 8 comprehension questions for a story read aloud in class. Her teacher also reported that, at times, Neesha’s lack of attention to task could also result in class-disturbing behaviors such as humming, playing with articles on her desk, and socializing. As part of the referral process, in addition to notes on classroom observations, the teacher also was asked to record what interventions were attempted and to comment on the success of these attempts. Interventions included sending a daily agenda regarding Neesha’s behavior for home signature, providing extra time for task completion, and seating her closer to the teacher’s desk. However, the daily agenda often was returned unsigned, since her mother was sleeping, and providing extra time did not increase her productivity. In all, the interventions generally were not successful. Ultimately, the decision was made to have Neesha repeat the Grade 4 program, since she had not completed any assigned tasks during her Grade 4 year, and to place her on high priority for a comprehensive assessment early in the fall term. The school psychologist saw Neesha for an initial assessment session, early in the fall term. Neesha was very well groomed, with matching accessories and her hair stylishly braided in a way that must have taken hours to complete. When asked about her hair, Neesha was very proud to say that her mother had done it for her, and that her mother was a very good hairdresser. Neesha was very polite and cooperative. Neesha’s responses and demeanor suggested a precocious maturity for her 10 years. The psychologist felt that Neesha tried her best on all tasks presented but questioned the validity of overall intellectual scores. REASON FOR REFERRAL The school requested assessment due to Neesha’s escalating academic difficulties and increased behavioral problems (irritability, moodiness, and beginning to strike out at other children). There were concerns that Neesha might warrant placement in a program for children with emotional problems. ASSESSMENT RESULTS Information concerning specific assessment instruments and the interpretation of standard scores and T scores can be found in Appendix C. Responses to the Wechsler Intelligence Scale for Children (WISCV) revealed Neesha’s overall intellectual score of 92, which was within the average range (IQ range 87–98). However, there were several indicators to suggest that this score was likely an underestimate of her “true potential.” Neesha’s mature conversational tone, insight, and academic levels obtained on standardized testing suggested intellectual functioning more appropriately suited to the upper average to high average range. Based on her overall obtained score, Neesha performed in the average range of ability at the 30th percentile when compared with children her age. There was minimal difference in her scores for the Verbal Comprehension Index (VCI, standard score of 90), the Visual Spatial Index (VSI, standard score of 95), and the Fluid Reasoning Index (FRI, standard score of 93). Based on these scores, it would be anticipated that Neesha should be performing approximately at grade level academically. An analysis of the individual pattern of test results indicated that Neesha had relative strengths in the areas of the Working M emory Index (WM I = 100), which involves the manipulation of mental information and shortterm working memory, and Processing Speed Index (PSI = 103), which measures speed of copying and scanning information. An analysis of the individual pattern of subtest scores indicated that Neesha had relative strengths in the area of visual analysis and reasoning (picture concepts) and recall for letter and number sequences. Weaknesses were noted in vocabulary development, social judgment, and part-to-whole visual organization (block design). Academically, according to the Woodcock Johnson Test of Achievement, Neesha’s current functioning levels were far in excess of her current grade placement and also exceeded predicted levels according to the WISC-V (which was considered as an underestimate of her intellectual potential). Overall, Neesha was performing at a Grade 7.2 level in Broad Reading (age score of 12.7), Grade 5.8 level in Broad M ath (age score 11.4), and Grade 7.9 level in Broad Written Expression (age score 13.2). Overall, Neesha was achieving in the high average range when scores were compared with those of other children her age who would be enrolled in a regular Grade 5 program. When compared with other children enrolled in a regular Grade 4 program (which Neesha was currently repeating), her scores represented functioning in the superior range. Neesha was cooperative during the clinical interview and provided thoughtful and conscientious responses to the interviewer’s questions. When asked what types of things or situations made her feel happy, sad, angry, or frightened, Neesha provided the following information. Neesha stated that “compliments, surprises, and visits with her Dad” were all things that could make her “happy.” She said she felt “sad” when kids threaten her or people say bad things about her or her family. She also stated that she gets very sad when her mother cries because she does not know how to make it better. Neesha looked sad as she spoke about her mother, and her voice trailed off as she swallowed hard. Neesha admitted to feeling angry and upset when her older brother (15 years of age) hits her, and she is “frightened” when she visits her aunt’s neighborhood, because the kids are loud and scary. In response to what worries her presently, Neesha said that she is worried that she will not be able to advance to the fifth grade this year. She said that she asked her mother to talk to the principal because she is working very hard and wants to go to Grade 5. She said she did not want to be in Grade 4 again, and she is very afraid that the kids will start being mean again and call her names like they did last year. She said she did not want to get into trouble this year like she did last year. When asked why she was falling asleep in class, Neesha said that in the past she had lots of problems falling asleep but added that was 2 years ago and things were different then. She said that at that time she would come home from school very tired and fall asleep after dinner. Then she would wake up at night and not be able to go to sleep again. She said that she has stopped taking naps in the afternoon and now she does not wake up at night anymore. Neesha volunteered that she also worried a lot about things and that sometimes when she worries she has a hard time falling asleep. Not so much now, but it was bad then because she missed her dad and wanted him to come home. She said that last year she got in trouble for being late so many times, but it was hard to wake up. Neesha said that she was tired and had trouble getting herself ready for school. Her mom was sleeping late because she was working more nights cleaning the offices. Neesha said it was a very hard year. She was tired and cranky and just could not seem to concentrate on her work. She said she would read a page and then not remember what she read. Neesha said she got so far behind that she just gave up. She was also having problems with the other girls in the class, who were starting to tease her about sleeping in class and not doing her work. She said they called her names like “Sleepy” and “Dummy.” She said that at first it made her very sad and then it made her very mad. That is when she started to hit them to make them stop. When I asked what made the difference this year, Neesha said, for one, she now has an alarm clock. She sets the clock and lets her mom sleep in. The school bus picks the kids up on the corner, so she just goes and waits with the other kids who live in the apartment building. When asked about schoolwork, Neesha stated that she was very proud of her reading ability and said that she is now concentrating on finishing her work and that keeps her going. Neesha completed several self-report inventories. Overall response to the Revised Children’s M anifest Anxiety Scale (RCM AS-2) revealed total anxiety to be within normal limits. However, there was a significant elevation on the Physiological Indicator scale, and Neesha endorsed several items indicating a generalized heightened state of arousal often associated with stressful conditions, such as trouble getting her breath, feeling sick to her stomach, and hands feeling sweaty. She also admitted to worrying a lot of the time and having problems falling asleep. An elevated validity scale (the Lie scale on the RCM AS) was suggestive of Neesha’s tendency to try to project a good image and suggesting that perhaps her anxiety was more of an issue than Neesha was letting on. Neesha’s responses to the Children’s Depression Inventory (CDI2) revealed overall depression level to be within the norm when compared to girls of a similar age. However, the elevation on the Negative M ood scale was significant, indicating problems with sleeping, fatigue, and worry about aches and pains. Neesha also completed the Personality Inventory for Youth (PIY), a 270-item questionnaire that assesses emotional and behavioral adjustment and family characteristics and interactions, as well as school adjustment. The instrument also includes validity scales that identify a respondent’s level of consistency and defensiveness. Neesha’s scores on the validity scales suggested that her profile was an honest attempt to reflect her current emotional and behavioral concerns. Scores indicated normal concerns typical of girls her age in most areas. However, consistent with the RCM AS, Neesha endorsed a significant number of items indicating somatic concerns (T = 73). Scores in this range suggest a large and varied number of somatic symptoms and health concerns, such as fatigue, headache, stomachache, back pain, dizzy spells, trouble breathing, and the like. Results of this kind are often seen in children who worry about and are preoccupied with illness and may become emotionally upset when they are sick. Often these symptoms represent the physical aspects of anxiety and tension. Neesha’s particular pattern of endorsement suggests that symptoms are likely connected to feelings of psychological distress within the home. Projective assessment was also conducted using the Robert’s Apperception Test, a series of pictures that are used as prompts for children’s stories. The characters in Neesha’s stories revealed difficulties in the following areas: conflicts with siblings, fear of being punished for doing something wrong, fear of being ill, and concerns regarding school performance. Family matters included a mother having a new baby and a young girl being a bridesmaid for her parents’ wedding. Neesha’s drawings for the House–Tree–Person indicated a positive openness to communication and were generally free of suggested pathology. Two of Neesha’s teachers from the fourth grade last year, her current teacher, and her mother completed the BASC-2. It should be noted that although the BASC-2 suggests that rating be conducted by individuals who have known the child for at least 6 months, the desire to have a current behavioral rating for comparison violated this suggestion since her current teacher has known Neesha only since the beginning of August (less than 2 months). Therefore, results should be interpreted with caution. The BASC-2 is a comprehensive measurement of common behavioral and emotional problems in children. Ratings of children are interpreted to indicate behavioral concerns that are normal, at risk, or clinical. Behaviors falling within the at-risk range represent an emerging problem area that needs attention but does not warrant a formal diagnosis, while behaviors within the clinical range are problems that warrant attention and intervention. Ratings are based on the observations of informants in different situations, and it is not unusual for children to behave differently in various situations. Therefore, inconsistencies between informants are not unusual. According to Neesha’s teachers last year, there was agreement in several areas on the BASC-2 ratings. The two teachers rated her behaviors as clinically significant in the following areas: Aggression (physical and verbal), Conduct Problems (rulebreaking behaviors), and overall Externalizing Problems. They also agreed that the following behaviors were at risk: Attention Problems, Leadership, Social Skills, and Study Skills. At-risk or clinically significant elevations were also noted for Composite Adaptive Skills (Adaptability, Social Skills, Leadership, Study Skills). Neesha’s current teacher and Neesha’s mother have indicated all behaviors currently to be within the normal range. In the final assessment session, Neesha appeared very positive about her school successes this year and said that she was working very hard to go to the next grade level. When asked if she would like to meet with the school psychologist once in a while, just to talk about her worries, Neesha said that she would like that very much. As she left the office, she turned and thanked the psychologist for working with her and added, “You know, sometimes, it’s hard being a kid.” When Neesha’s mother came to talk to the school psychologist about the test results, the psychologist mirrored the social worker’s earlier concerns about the mother being depressed and preoccupied. Affect was very flat despite the excellent news she was receiving regarding her daughter’s academic skills and behavioral turnaround. Her mother reported that what Neesha had accomplished, she had done on her own. She stated that Neesha had received no help from her. The mother appeared preoccupied with the interview making her late for work and asked if she could please leave quickly. Postscript Three weeks later, at 10:00 a.m., the school principal received a call from Neesha’s mother, who asked that her daughter not be sent home from school because she was going to kill herself. As she spoke on the telephone, she explained that she was holding a loaded gun to her head and that she had to do it because she was not going to make this month’s rent. She could not take it any longer, but she did not want Neesha to come home and find her dead. While the guidance counselor continued to keep the mother talking, the school principal contacted the police, who apprehended mom while she was talking on her cell phone from her car in the driveway of the apartment building. The loaded gun was on her lap. M other was Baker Acted (taken into custody due to fears regarding danger to self) and taken to the local psychiatric facility. Currently, the mother is on medication for depression. ISSUES, TRENDS, AND TREATMENT ALTERNATIVES Considering Neesha’s case within the framework of developmental contexts and environmental influences, there are several risk factors that are affecting her development that are not within Neesha’s immediate control, including poverty, her mother’s mental illness (depression), and living with a sibling who has severe emotional disturbance. Case Formulation Unlike the other two cases presented in this introductory section, developing a case formulation for Neesha requires thinking outside the box. Neesha does not present with enough symptoms of depression or anxiety to meet criteria for any specific anxiety or depressive disorder. However, she does meet diagnostic criteria for an adjustment disorder with mixed anxiety and depressed mood. Adjustment disorders are evident as emotional or behavioral symptoms that develop in response to an identifiable stressor and occur within 3 months of the onset of the stressor. Although this stress-related disorder is considered to be a “temporary” condition that “lasts no longer than 6 months after the stressor or its consequences have ceased” (APA, 2013, p. 287), in Neesha’s case, she is experiencing ongoing stress related to environmental influences that continue to be present. The DSM does specify that “if the stressor or its consequences persist, the adjustment disorder may continue to be present and become the persistent form.” Risks, Protective Factors, and Resilience Several researchers have focused on the role of protective factors in buffering some children living in high-risk environments. Emphasis has shifted from focusing on risks to determining environmental resources and adaptive strengths in children who do not show early signs of deviance (Richters & Weintraub, 1990). Rutter (1987) noted several years ago that instead of searching for broadly defined protective factors, emphasis needs to be placed on better understanding “why and how some individuals manage to maintain high self-esteem and self-efficacy in spite of facing the same adversities that lead other people to give up and lose hope” (p. 317). Furthermore, Rutter (1990) suggests that we go beyond listing risk factors to looking at the underlying processes or mechanisms that are instrumental in producing the buffering effect. Rutter defines these processes as reducing risk impact, reducing negative chain reactions, increasing factors that promote selfesteem, and opening opportunities. The role of timing (life events) in changing the trajectory away from vulnerability is also discussed. In their discussion of risk and resilience, Werner and Smith (2001) concluded that certain environmental factors, such as positive emotional support from caregivers and mentors, could provide protection from negative outcomes, despite living in adverse conditions, while M asten (2001) found the following to be protective factors in resilience: positive, supportive caregivers; positive views of self; motivation to succeed; and cognitive and self-regulatory skills. Although resilience was once thought of as a trait, currently, resilience is thought of as “a process or phenomenon reflecting positive child adjustment despite conditions of risk” (Luthar & Zelazo, 2003, p. 510). M asten and M onn (2015) suggest that “resilience involves successful adaptation following significant challenges or system disturbances” (p. 6). Durlak (1998) reviewed 1,200 outcome studies concerning prevention programs for children and identified several common risk and protective factors across seven major outcome areas: behavior problems, school failure, poor physical health, physical injury, pregnancy, drug use, and AIDS. Analysis of risk and protective factors linked each factor with the appropriate developmental context, including individual, immediate (family, school, peers), and community. Durlak found multiple factors playing a protective role for more than one outcome. For example, attending a “high-quality school” protected against behavior problems, school failure, early pregnancy, drug use, and AIDS and having “positive peer models” also protected across the same five areas. Having a good parent–child relationship and good personal and social skills protected across all seven major outcomes. Highrisk factors included living in an impoverished neighborhood, low family socioeconomic status (SES), parental psychopathology, marital discord, and punitive parenting. Stress was considered to be a risk factor that crossed all levels of development, while social support was a protective factor that crossed all developmental levels. When discussing risk and protective factors, the risks of being in an ethnic minority have rarely been addressed. Gibbs and Huang (2001) emphasize that when ethnic identity is combined with membership in a minority race, children are faced with a dual challenge. The authors also note that ethnic minority status has often been associated with restricted range of opportunities, and children growing up in minority families may be exposed to circumstances and experiences very different from the majority of the community. In addition, there is often an interaction among factors of ethnicity, race, and social class (SES), with higher status typically perceived for white, Anglo-Saxon, middle-class families and lower status associated with non-white, ethnic minority, and lower class families (Hacker, 1992). In their study of child poverty rates, Lichtner, Quian, and Crowley (2005) found that while 9% of white children were living below the poverty line, one-third of all Black children and 27% of Hispanic children were living at this level. According to the 2014 census, approximately 38% of African American youth under 18 years of age live below the poverty line, compared with 30% Hispanic, 9.6% Asian, and 10.7% whites (DeNavas-Walt & Proctor, 2014). Within this context, the role of the family has assumed a position of strength and resilience. One central value that is cultivated by African American families is the importance of being “independent” and the value of independence. In this manner, the family unit is sustained by members who are self-reliant. Other strong family values often include obedience, respect for elders, and emphasis on obtaining a good education. However, culture clash may be evident in the way in which family members or children whose sense of time is fluid and eventoriented interact with largely white establishments where time is determined by the clock, calendar, or school agenda (Lynch & Hanson, 1998). A growing body of research has revealed that maternal depression and depressive symptoms place children and adolescents at increased risk for negative social and emotional outcomes (Goodman & Gotlib, 2002). Recent studies have found that by adolescence, children and youth exposed to maternal depression demonstrate higher levels of internalizing and externalizing problems relative to peers whose mothers are not depressed (Foster, Garber, & Durlak, 2008; Nelson, Hammen, Brennan, & Ullman, 2003). Campbell, M organ-Lopez, Cox, and M cLoyd (2009) found that adolescents whose mothers reported chronic depressed symptoms across their childhood evidenced more symptoms of depression, dysphoria, and loneliness compared to peers whose mothers were without a history of depression. It has also been found that children living in stressful conditions surrounding maternal depression (parent–child conflict, less parental monitoring and supervision) are likely to engage in more risk-taking and externalizing behaviors (Wiesner & Kim, 2006). Research has also demonstrated that boys and girls may respond differently to maternal distress, with boys being more inclined to react with externalizing problems, while with increasing age, girls are more likely to develop internalizing problems (Angold, Erklani, Silberg, Eaves, & Costello, 2002). In addition to trajectories that might be predicted by gender, the principles of equifinality and multifinality provide different mechanisms to assist our understanding of the nature of different outcomes (Cicchetti & Rogosch, 1996). The principle of equifinality is used to explain how similar symptoms (depression) can result from different sources (e.g., two children may both suffer from depression; however, one child may be reacting to a parental divorce and another child may be depressed because of peer rejection). The second principle of multifinality is important in understanding how individuals who experience similar circumstances may be on different paths that will predict very different outcomes. For example, although Neesha shows many signs of distress due to her stressful living conditions, she also demonstrates qualities that suggest resilience in the face of adversity. However, her brother Tyrone, whom we will meet in greater depth in the case study of Tyrone Wilson, has moved further and further along a path of self-destructive behaviors, leading to his recent entry into the juvenile justice system. Therefore, despite living in the same stressful conditions, their outcomes are very different. In their study of resilient and nonresilient youth, Buckner, M ezzacappa, and Beardslee (2003) found that compared to their nonresilient peers, resilient youth demonstrated greater self-regulatory skills and self-esteem, as well as more active parental monitoring. Children who grow up in lessthan-ideal conditions may accept these conditions as part of the “normalcy” of their life and learn to cope with what they have. Others may develop a sense of positive self-esteem and independence that may serve to buffer them from more negative outcomes (Cicchetti & Rogosch, 1997). Yet others, like Tyrone, will follow a path of aggression and retaliation and join others who are on a similar self-destructive trajectory. Post-Case Questions 1. In discussing the plight of resilient children, Luthar (1993) contrasts earlier concepts of the invulnerable child with present concepts of the resilient child. Luthar observed that children who survived difficult circumstances without developing maladaptive outcomes often presented with more subtle internalizing problems. In Luthar’s study, 85% of the resilient children had clinically significant symptoms of anxiety and depression. Similarly, longitudinal data from studies by Werner and Smith (1992) also noted that resilient children in adulthood were plagued with somatic complaints (headaches, backaches) and feelings of dissatisfaction. In the Introduction to this chapter, the topic of resilience and neurobiology was discussed. According to Karatoreos and M cEwen (2013), initially an individual can withstand environmental challenges (stressful circumstances) by successful allostatic responses that can contribute to resilience; however, over the course of time, continued stressful circumstances can cause a system to go into “allostatic overload” resulting in overuse of the system and dysregulation (wearing down the system). Discuss Neesha’s current clinical profile in light of the information provided by these studies on resilience. 2. In a study of developmental response patterns to maternal depression, Solantaus-Simula (2002) found four response patterns: active empathy, emotional overinvolvement, indifference, and avoidance. Of the four types, children in the emotional overinvolvement and avoidance groups demonstrated the most internalizing and externalizing symptoms, independent of mother’s level of depression. Furthermore, children in the active empathy group fared best. They did not feel guilty about their parent’s depression and were able to discriminate their experiences from those of the depressed parent, supporting Beardslee’s (1989) theory of the protective function of self-understanding. The most common response to maternal depression in the active group was to make some effort to cheer up the parent. Discuss these findings in relation to Neesha’s case. 3. The way in which a child responds to distress can be strongly influenced by the cultural context in which the circumstance is embedded. Discuss this comment with respect to Neesha’s case. 4. Studies on resilience and maternal depression discussed in the Introduction to this chapter report a number of negative outcomes that can occur for children and youth who are raised by depressed mothers. Some of the reported risks include social withdrawal, inappropriate social skills, increased risk for psychopathology, and dysfunctional physiological systems associated with managing stress and regulating social engagement (e.g., cortisol responses and oxytocin production). Karatoreos and M cEwen (2013) discuss how hyper or hypo cortisol reactivity in children of depressed mothers can influence a child’s tendency to withdraw socially or demonstrate behavioral inhibition. Describe how Neesha’s mother’s parenting behaviors may have influenced the development of these behaviors in Neesha. 5. Research regarding promoting resilience in children has focused on two important factors: individual characteristics and influences from family and parenting practices. Discuss possible interventions that would enhance Neesha’s opportunities for developing and sustaining resilience. 6. Suggested individual or group presentation activity: The guidance counselor has asked Neesha’s mother to attend a meeting at the school to address Neesha’s academic skills and social engagement. The school psychologist and social worker will be invited to attend the meeting, as well as Neesha’s teacher. Prepare a script for role-playing each of the player’s parts in the meeting and how they could potentially contribute information to assist with developing a case formulation and intervention plan. Who else would you want to invite to the meeting and why? 7. After reading the case of Neesha’s brother, Tyrone Wilson, discuss the concepts of multifinality and equifinality as they are related to the two case studies. REFERENCES American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders-5. Arlington, VA: Author. Angold, A., Erklani, A., Silberg, J., Eaves, L., & Costello, E. J. (2002). Depression scale scores in 8–17-year-olds: Effects of age and gender. Journal of Child Psychology and Psychiatry, 43, 1052–1063. Beardslee, W. R. (1989). The role of self-understanding in resilient individuals: The development of a perspective. American Journal of Orthopsychiatry, 59, 266–278. Buckner, J. C., M ezzacappa, E., & Beardslee, W. R. (2003). Characteristics of resilient youths living in poverty: The role of self-regulatory processes. Development and Psychopathology, 15(1), 139–162. Campbell, S. D., M organ-Lopez, A. A., Cox, M . J., & M cLoyd, V. C. (2009). A latent class analysis of maternal depression symptoms over 12 years and offspring adjustment in adolescence. Journal of Abnormal Psychology, 118, 479–493. Cicchetti, D., & Rogosch, F. A. (1996). Editorial: Equifinality and multifinality in developmental psychopathology. Development and Psychopathology, 8, 597–600. Cicchetti, D., & Rogosch, F. A. (1997). The role of self-organization in the promotion of resilience in maltreated children. Development and Psychopathology, 9, 797–815. DeNavas-Walt, C., & Proctor, B. D. (2014). U.S. Census Bureau, current population reports, P60–249, income and poverty in the United States: 2013. Washington, DC: U.S. Government Printing Office. Durlak, J. A. (1998). Common risk and protective factors in successful prevention programs. American Journal of Orthopsychiatry, 68, 512–520. Foster, C. J. E., Garber, J., & Durlak, J. (2008). Current and past maternal depression, maternal interaction behaviors, and children’s externalizing and internalizing symptoms. Journal of Abnormal Child Psychology, 36, 527–537. Gibbs, J. T., & Huang, L. N. (2001). Framework for the psychological assessment and treatment of minority youth. In J. T. Gibbs & L. N. Huang (Eds.), Children of color (pp. 112–142). San Francisco, CA: Jossey-Bass. Goodman, S., & Gotlib, I. (2002). Children of depressed parents: M echanisms of risk and implications for treatment. Washington, DC: American Psychological Association. Hacker, A. (1992). Two nations: Black & White, separate, hostile, unequal. New York, NY: Scribner. Karatoreos, I. N., & M cEwen, B. S. (2013). Annual research review: the neurobiology and physiology of resilience and adaptation across the life course (vol 54, pg 337, 2013). Journal of Child Psychology and Psychiatry, 54(7), 812–812. Lichtner, D., Quian, Z., & Crowley, M . (2005). Child poverty among racial minorities and immigrants: Explaining trends and differentials. Social Science Quarterly, Special Issue, 86(5), 1037– 1059. Luthar, S. S. (1993). Annotation: M ethodological and conceptual issues in research on childhood resilience. Journal of Child Psychology and Psychiatry, 34, 441–453. Luthar, S. S., & Zelazo, L. B. (2003). Research on resilience: An integrative review. In S. S. Luthar (Ed.), Resilience and vulnerability: Adaptation in the context of childhood adversities (pp. 511–549). Cambridge, UK: Cambridge University Press. Lynch, E. W., & Hanson, M . J. (1998). Developing cross-cultural competence (2nd ed.). Baltimore, M D: Brookes. M asten, A. S. (2001). Ordinary magic: Resilience processes in development. American Psychologist, 56(3), 227–238. M asten, A. S., & M onn, A. R. (2015). Child and family resilience: A call for integrated science, practice, and professional training. Family Relations, 64, 5–21. Nelson, D. R., Hammen, C., Brennan, P. A., & Ullman, J. B. (2003). The impact of maternal depression on adolescent adjustment: The role of expressed emotion. Journal of Consulting and Clinical Psychology, 71, 935–944. Richters, K., & Weintraub, S. (1990). Beyond diathesis: Toward an understanding of high- risk environments. In J. Rolf, A. M asten, D. Cicchetti, K. Nuechterlein, & S. Weintraub (Eds.), Risk and protective factors in the development of psychopathology (pp. 67–96). New York, NY: Cambridge University Press. Rutter, M . (1987). Psychosocial resilience and protective mechanisms. American Journal of Orthopsychiatry, 57, 316–330. Rutter, M . (1990). Psychosocial resilience and protective mechanisms. In J. Rolf, A. M asten, D. Cicchetti, K. Nuechterlein, & S. Weintraub (Eds.), Risk and protective factors in the development of psychopathology (pp. 181–214). New York, NY: Cambridge University Press. Solantaus-Simula, T. (2002). Children’s responses to low parental mood: Balancing between active empathy, overinvolvement, indifference, and avoidance. Journal of American Academy of Child and Adolescent Psychiatry, 41, 278–286. Werner, E. E., & Smith, R. S. (1992). Overcoming the odds: High risk children from birth to adulthood. Ithaca, NY: Cornell University Press. Werner, E. E., & Smith, R. S. (2001). Journeys from childhood to midlife: Risk, resilience and recovery. Ithaca, NY: Cornell University Press. Wiesner, M ., & Kim, H. K. (2006). Co-occurring delinquency and depressive symptoms of adolescent girls and boys: A dual trajectory modeling approach. Developmental Psychology, 42, 1220–1235. 2 INTRODUCTION TO NEURODEVELOPMENTAL DISORDERS Disorders that are classified under the category of Neurodevelopmental Disorders include those conditions with early onset (likely prior to formal school entry) that are characterized by “developmental deficits that produce impairments of personal, social, academic, or occupational functioning” (DSM -5; APA, 2013, p. 31). The recent revision process of the DSM included lengthy discussions regarding how to best to recategorize childhood disorders which were previously housed in the category of “Disorders Usually First Diagnosed in Infancy, Childhood, or Adolescence.” Although the category of Neurodevelopmental Disorders was an obvious choice for a classification category, there was considerable debate as to the validity of including or excluding specific disorders from this category. A meta-analysis was conducted and several possible candidates were considered for inclusion under this umbrella, including conduct disorder (CD), separation anxiety disorder, attention deficit/hyperactivity disorder (ADHD), mental retardation (intellectual disability), pervasive developmental disorders (PDDs) (autism spectrum disorder [ASD]), motor disorders, communication disorders, and learning disorders (Andrews, Pine, Hobbs, Anderson, & Sutherland, 2009). However, while some disorders were a more natural fit, meeting the majority of validating criteria (such as intellectual disability and ASD), other disorder subtypes, such as the externalizing features of CD and the hyperactive-impulsive or combined subtypes of ADHD, seemed to share features not common to other disorders. Based on shared features, such as, etiology, symptom similarity, early onset, and course persistence, Andrews et al. (2009) suggested five potential disorders for inclusion under the category of Neurodevelopmental Disorders, including intellectual disability, ASDs, motor disorders, communication disorders, and learning disorders. On final publication, the Diagnostic and Statistical Manual of Mental Disorders (DSM-5, APA, 2013) included six disorders under the category of Neurodevelopmental Disorders: intellectual disability, communication disorders, ASD, ADHD, specific learning disorder, and motor disorders. The rationale for including the above six disorders within this category include the following: 1. The disorders are often comorbid (children with ASD also often evidence intellectual disabilities; children with ADHD often experience specific learning disorders); 2. The disorders represent a wide range of neurodevelopmental functioning and impairments from global delays to specific deficits in executive functions. This chapter contains seven cases which provide a broad look at the types of disorders that area clustered within the category of Neurodevelopmental Disorders: Colby Tyler (Case 4), a gifted teenager who also has been diagnosed with ADHD; Thomas M cLearn (Case 5), a young boy with a specific reading disorder (dyslexia); Sandy Smith (Case 6), a young girl who has a very unique type of learning disorder, a nonverbal learning disability; Dylan Bach (Case 7), a child with higher functioning autism who is exceptionally gifted in specific areas; Bradley Hunter (Case 10), a case that presents a more traditional picture of a child with more severe autistic features; and Brian Williams (Case 9), a child who has an intellectual disability, but a very specific variant, known as Williams syndrome. Since children with William’s syndrome are often hypersocial, comparing Brian’s profile to Dylan’s can make for a very interesting discussion, as would reviewing both these cases in the light of comments made earlier about Sandy Smith (Case 6; nonverbal learning disability). Arthur Watson (Case 8) is an example of a case that is frequently seen in clinical settings; a child who can be a puzzle to those who attempt to address whether lack of performance is a matter of “won’t or can’t.” DISORDERS OF ATTENTION AND LEARNING Attention deficit/ hyperactivity disorder (ADHD): Individuals who meet criteria for ADHD display a persistent pattern of inattention, overactivity, or impulsivity. Based on the symptom configuration, specifiers for ADHD will indicate whether the disorder represents a predominantly inattentive, hyperactive/impulsive, or combined presentation. Diagnostic criteria for ADHD in the DSM -5 remain consistent with previous criteria (DSM -IV-TR; APA, 2000), with the following exceptions: the symptoms now must be evident prior to 12 years (rather than 7 as noted previously); only five symptoms, instead of six, are required for inattention or hyperactive/impulsive presentations if individuals are 17 years of age or older, and the symptom descriptions include more examples of how the disorder may appear in adults and inclusion of indicators for the degree of severity (mild, moderate, or severe). The most recent prevalent rates suggest that the disorder is present in about 5% of children and 2.5% of adults, and the disorder commonly is comorbid with a specific learning disorder (APA, 2013). Specific learning disorder: Specific learning disorders (formerly learning disorders) are biological in origin and influence an individual’s ability to effectively process visual or verbal information necessary for the acquisition of academic skills in areas of reading (accuracy, fluency, comprehension) or written expression (spelling, grammar, organization) and/or mathematics (number sense, math facts, calculation, or reasoning) (APA, 2013, p. 67). Although the DSM no longer requires a significant discrepancy between intellectual functioning and academic performance (previously a significant discrepancy between intellectual functioning and achievement was suggested to be two standard deviations), the DSM -5 requires that academic skills be significantly below age expectations (as measured by a standardized assessment), are persistent (originating in the school years), and “are not better accounted for by intellectual disabilities,” in addition to other neurological problems or lack of instruction (p. 67). Severity can range from mild to severe. INTELLECTUAL AND DEVELOPMENTAL DISABILITIES Intellectual disability: The criteria for intellectual disability (formerly mental retardation) also known as intellectual developmental disorder remain consistent with previous diagnostic requirements of significant deficits in intellectual (IQ 65–75; 70 ± 5) and adaptive functioning. However, there is a significant change in how the ranges are now conceptualized. Specifiers for mild, moderate, severe, and profound levels of intellectual disability are no longer related to levels of intellectual functioning, but they are now linked to levels of adaptive functioning and the supports required across three domains of adaptive functioning, including conceptual (academics, problem solving), social (social judgment, communication, relationships), and practical (life skills) domains. The rationale for this change was the lower validity of IQ measures in the low ranges. In addition, the change is more in keeping with the concept of intensity of support services (ISS) recognized by the American Association of Intellectual Developmental Disabilities (AAIDD). Global developmental delay: The DSM -5 has added this category for children under 5 years of age who may demonstrate lags in achieving milestones; however, given their age or conditions (e.g., physical impairments, problem behaviors), valid measures of functioning may not be obtainable. This category is considered to be temporary and is to be removed following a formal assessment. Autism spectrum disorder (ASD): Disorders that are included in this category were previously known as the pervasive developmental disorder (PDD) which contained five different but symptom-related disorders: autism, Asperger’s disorder, Rhett’s disorder, childhood disintegrative disorder, and PDD not otherwise specified (PDDNOS). Disorders within ASD meet criteria for two broad symptom categories, indicating persistent 1.Deficits in social communication and social interaction in three areas (social–emotional reciprocity, nonverbal communication, developing/maintaining relationships); 2.Restricted, repetitive patterns of behaviors, interests, and/or activities in two out of four possible areas (motor movements, rituals, fixated interests, hyper/hypo response to sensory information). Specifiers can be used to indicate whether ASD is accompanied with or without intellectual or language impairment or the severity levels/supports required for problems in areas of social communication or restricted, repetitive behaviors (APA, 50–51). According to the DSM -5, the diagnosis of ASD should replace previous diagnoses for autistic disorder, Asperger’s disorder, or PDDNOS. The prevalence rates suggest that ASD can be evident in up to 1% of the population, and the DSM -5 states that it is unclear whether escalating rates reflect inclusion of “subthreshold cases, increased awareness, differences in study methodology, or true increases in the frequency of ASD” (APA, 2013, p. 55). REFERENCES American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders-IV-TR. Arlington, VA: Author. American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders-5. Arlington, VA: Author. Andrews, G., Pine, D. S., Hobbs, M . J., Anderson, T. M ., & Sunderland, M . (2009). Neurodevelopmental disorders. Cluster 2 of the proposed metastructure for DSM V and ICD-11. Psychological M ediciane, 39, 2013–2023. PART A PROBLEMS OF ATTENTION AND SPECIFIC LEARNING DISORDERS Case 4: Colby Tyler: Attention Problems or Distracted by Life? Case 5: Thomas M cLearn: Read M e a Story Case 6: Sandy Smith: M arching to the Beat of a Different Drum CASE 4 COLBY TYLER : ATTENTION PROBLEMS OR DISTRACTED BY LIFE?ADHD; GIFTED; DIVORCE Colby, a 14-year-old Caucasian teenager in the ninth grade, came to the clinic accompanied by his mother, Tina. The appointment had finally been booked after Tina found Colby’s midterm report card crumpled in the garbage can. Not only was he failing one course, but also he was performing miserably across all subjects. When confronted, Colby lashed out at her, saying it was her fault, and ran out of the house. Tina admitted to running down the street after him, yelling like a “maniac.” It was at this point that she realized that things had gotten out of control and that she needed help with Colby. His academic performance and temper outbursts were getting worse and worse. Tina explained that she also felt less able to cope with circumstances lately, due to her recent separation from her husband, Josh. Colby and his 7-year-old sister, Susy, continued to visit with their father every Wednesday and every second weekend. Colby’s parents both have university degrees. Tina works as an advertising account executive and Josh is an entrepreneur. DEVELOPMENTAL HISTORY/FAMILY BACKGROUND Despite a normal and full-term pregnancy, Tina stated that the labor was lengthy (12 hours) and ended with a forceps delivery. Tina reported that she was under a lot of stress during her pregnancy due to marital conflicts and admitted to smoking and having an occasional drink during the pregnancy. Colby weighed 6 pounds 2 ounces, and although somewhat underweight, he seemed to be in good health at birth. The first 3 months were very difficult for Tina and Colby due to Colby’s sensitive digestive system. After eating, Colby would often have bouts of projectile vomiting, diarrhea, and colicky behavior. Although Tina tried to nurse Colby, he was constantly hungry (feeding every 2 hours), and after 6 weeks, the doctor felt that Colby and mom would both be better off if he went on formula. Eventually, Colby settled into a better routine, although digestive problems and poor sleep patterns continue to be areas of difficulty for him, especially when under stress. On occasion, Colby will complain of stomachaches and ask to stay home from school. He also has difficulty both falling asleep and staying asleep. On many nights, Colby is still awake when Tina goes to bed, which is around midnight. Developmental milestones were achieved within normative expectations, with the exception that Colby started to read spontaneously at 2 years of age. His first sight word was “Sears”; he pointed to the catalog after seeing a commercial on TV. After that, he started recognizing labels and logos on billboards and on the television. He was able to read printed words on paper by about 2½ years of age. Language skills also developed rapidly, and Colby’s conversational skills were very well advanced by the time he entered nursery school. Although Colby’s health has been generally good, he had a severe outbreak of hives at 5 years of age (source never detected) and was placed on an elimination diet for 1 month during which time his food was restricted to rice and lamb broth. Colby has never been hospitalized, although he does have a tendency to be accident prone and has experienced cuts, scrapes, and bruises from falls and bike accidents. Colby’s hearing and vision have both been assessed. Hearing is within normal limits, and glasses have been prescribed for distance vision. When asked about family history, Tina noted that Colby’s maternal grandmother has always been an anxious woman who has many fears and who has been on medication for depression. Colby’s maternal grandfather was of Polish descent and was a heavy drinker and often became aggressive and physically abusive to his wife and eldest son. Colby’s maternal grandfather also had Parkinson’s disease and eventually died after a lengthy battle with Alzheimer’s. Tina feels that her mother also likely suffers from posttraumatic stress disorder, due to the violence in the home. Although Tina’s parents lived some distance away, Colby has maintained contact with his grandmother through her biyearly visits. Tina is herself an anxious woman who was a witness to domestic violence. Colby’s paternal grandmother and grandfather are deceased and, according to Tina, there was no known pathology. His paternal grandmother was born in Ireland while his paternal grandfather was of English descent. There is a paternal uncle who has problems with alcohol and is also believed to have some psychotic features (hallucinations and delusions). He is unable to support himself, is currently on social assistance, and is basically estranged from Tina’s husband. Tina described her marriage of 15 years as very turbulent. There was a previous marital separation due to Josh’s infidelities, about 8 years earlier; however, Tina discovered that she was pregnant with Susy and they reconciled the marriage. Tina was never able to reestablish a sense of trust in Josh, and their relationship continued to slide. During the past year, the children had been exposed to many arguments and verbal accusations that centered on Josh’s denial of any infidelities. Although Tina and her husband Josh had been living in the same house for the past year, they slept in separate rooms. Six months ago the house finally sold, and they moved into separate quarters. Tina has been seeing a counselor for the past year. REASON FOR REFERRAL Colby presented as an articulate and well-mannered adolescent. According to Colby, his mother really got very upset and angry when she found his report card. He was not eager to share it with her because she got very angry at him after the parent–teacher conference in January. He described the parent–teacher conference as embarrassing and frustrating. First of all, both his mom and dad were present and were throwing cold stares at each other across the room. All his teachers were in the room at the same time, and he felt like he was on trial. Only one teacher, his English teacher, M r. Brighton, had anything good to say about him. The other teachers made him angry by saying that he was not trying, was not motivated, and did not care about his schoolwork. M rs. Fischer said that most times Colby was not prepared for class and did not even bring his text with him. All accused him of wasting his potential. After all, Colby had been identified as a “gifted” student as part of the Grade 4 screening for the Gifted Program. Colby’s IQ was 147. However, in spite of all this intelligence, Colby had never really been a shining academic. In elementary school, Colby managed to get by with the little amount of effort he put in. However, Colby began to really slide academically when he entered Grade 9. Currently, Colby’s grades are well below what would be expected, and he may not pass Chemistry at all. Colby is up most nights until very late, and he cannot get up in the morning. He has been late many times, and the school counselor has called Tina often to complain about Colby’s tardiness. Historically, Colby has always had problems sleeping. As a consequence, getting ready for school in the mornings had been problematic, with one exception. One day a week, when Colby attended the Gifted Program, he would have no difficulty getting up or being on time. The Gifted Program was Colby’s favorite day of the week, and Colby was noticeably distressed upon learning that the gifted program would not extend into the secondary school level. The level of Colby’s intelligence was evident in his articulate conversational style and the depth of his knowledge in areas of interest, like computers. He was an engaging youth who was very captivating. However, as the conversation turned toward academics, Colby’s entire demeanor changed, and he became very quiet. Tina addressed the issue of homework, which was a constant source of frustration for both of them. Colby seemed to have tremendous difficulty staying on task; everything was a potential distraction. Little things, like the telephone ringing or a noise outside, would be enough to break Colby’s concentration, and once off-task, it was very difficult to get him back on track. However, when Colby was playing computer games, he was riveted to the screen, and it would become very difficult to disengage Colby from the task. Tina could not understand how Colby could be so intensely focused when interested in something and so distractible when interest level was low. Like Colby’s teachers, Tina thought it was a question of motivation. Tina described how Colby would begin each academic year all motivated and excited about school: new binders, pencils, and so on. Within a matter of weeks, however, old patterns would return and Colby would begin sleeping in, assignments would remain incomplete, and pencils would be lost or misplaced. According to Tina, Colby was the master of good intentions. Although Colby would often start projects with great enthusiasm, he had considerable difficulty sustaining this effort over the long haul. The Gifted Program was the only place where Colby really seemed to do well. When asked what was so special about the Gifted Program, Colby said the teacher was fantastic, most of the kids were great, and they did a lot of computer work and mind-bending logic games. Tina interjected that she had talked at length with the teacher of the Gifted Program, who described Colby as a great kid and a wonderfully creative and divergent thinker. The teacher of the Gifted Program thought that one of Colby’s difficulties might be that he had so many ideas that it was very hard for him to put things down on paper. He had, as she described it, “an explosive mind for brainstorming.” Colby said that outside of the Gifted Program, it was difficult to concentrate and focus. When asked what helped to clear his head and give him a better ability to stick with something, he immediately said, “walking or riding my bike in the park.” Colby explained that sometimes he had the clearest thoughts just walking by himself on the golf course. He wished he could bring that kind of focus into the classroom. When asked about temper outbursts, Tina said that at times Colby seems incredibly patient, and she saw this behavior at its best when he was tutoring younger children in a reading program and giving golf lessons. However, at other times, Colby could be highly reactive and respond with a short fuse. At these times, Colby would be more prone to take things personally, be less responsive to logical reasoning, and be in a highly aroused state. When in this aroused stated, it is not possible to reason logically with Colby until he settles down, which can take a while. According to Colby’s mother, behavioral outbursts had increased since the marital breakup. Tina stated that Colby has never adapted well to change and that the emotional split and physical move have likely added to the intensity of Colby’s reactions. Having to shift between two households was not easy for Colby, especially in light of his problems with losing things and misplacing his notes. Colby now seemed even more disorganized than before. Tina also wondered whether Colby at some level somehow blames himself for the split. When asked about the separation, Colby said very little. He said that his little sister was upset because he got to choose where he wanted to live and she did not. He said she does not understand. It’s awful to have to choose. Colby said his dad asked him why he chose to be with his mom and he said “because she is closer to school.” Colby said that his dad called him “shallow.” According to Tina, Colby has a tense relationship with his father because Josh tries to compete with Colby instead of supporting him. Tina said she is afraid that unless there are some answers to what is going on with Colby at this stage, Colby may end up having real problems. As it is, he can get very angry and flare up in a second, and this is really beginning to worry her. In response to that comment, Colby just looked at his mother and said, “I have been living in a house that is like the movie The War of the Roses. . . and you wonder why I get angry.” ASSESSMENT RESULTS Guidelines for the interpretation of standard scores and T scores are available in Appendix C, as are descriptions of the assessment instruments used in the current assessment, as well as other resources. Colby’s case serves as the prototypical case for this book, and with this goal in mind, actual test scores for each assessment measure and anecdotal examiner comments are available in Appendix A, along with scores for the assessments of three other children (Scott M ichaels, Shirley Yong, and Arthur Watson). In addition, there is an in-depth discussion in Appendix A concerning how the clinician arrived at the case formulation for Colby based on differential diagnosis: evidence in support of a diagnosis of attention deficit/hyperactivity disorder (ADHD) primarily inattentive presentation and the rationale for ruling out other comorbid or competing diagnoses. There is also a written report wherein the clinical psychologist reports and shares her clinical and diagnostic impressions of Colby based on the assessment results. Since there is significant supplemental information for this particular case in Appendix A, the summary of assessment results in this chapter will be relatively brief. Responses to the Wechsler Intelligence Scale for Children (WISCV) confirmed overall intellectual functioning to be within the Extremely High Range (General Ability Index 142; range 138–149), with all Index Scores in the Extremely High Range with the exception of Processing Speed (PSI 103; range 94–112) which was in the Average Range. Colby’s overall IQ score places him within the top 1% of the population (99.9th percentile). However, his scores were not evenly distributed among the different aspects of the IQ profile. Colby’s score of 130 on the Working M emory Index (WM I; range 120–135) was an area of relative weakness, compared to his Index Scores for Verbal Comprehension (VCI 142; range 131–146), Visual Spatial analysis (VSI 135; range 124–140), and Fluid Reasoning (FRI 137; range 127–142). As was noted above, his Perceptual Reasoning Index (PRI) scores was severely impaired, relative to all his intellectual scores. Slow speed of psychomotor responses noted on paper-and-pencil tasks was accompanied by fatigue, awkward writing style, and ease of distraction. Despite adequate core academic skills (reading, spelling, math calculations), Colby had significant problems organizing his ideas when asked to write a short paragraph. Colby had difficulty getting started on the task, changed his topic many times, and, after approximately 10 minutes, ultimately produced a very short but well-written passage of two lines. Colby’s mother completed the Conners Parent Rating Scale and the Achenbach Child Behavior Checklist (CBCL). Significant elevations were noted on scales of Somatic Complaints, AnxiousDepressed M ood, and Attention Problems. Teacher responses on the Teacher Report Form (TRF) also noted significant Somatic Complaints, and significant problems with Inattention and low frustration tolerance (Emotional Lability) were noted on the teacher’s Conners Scale. Colby’s self-ratings on the Youth SelfReport (YSF), Conners-Wells Adolescent Self-Report Scale (CASS:L), and Beck Youth Inventories (BYI-2) revealed significant elevations for Internalizing, Inattentive Behaviors, and Low SelfConcept, and significant elevation of Depressed and Anxious M oods. Further assessment with the Children’s Depression Inventory (CDI-2) ruled out significant depression or suicidal ideation. ISSUES, TRENDS, AND ALTERNATIVE TREATMENT METHODS ADHD is a commonly diagnosed neurodevelopmental disorder with a lifetime prevalence rate of between 5.9% and 8.7% (M erikangas et al., 2010; Willicut, 2012), with between 3% and 5% of school-age children meeting criteria for the disorder (APA, 2013; Barkley, 1998). Although once thought of as a childhood disorder, it is now estimated that between one-third and two-thirds of children with ADHD will continue to exhibit symptoms of the disorder throughout their lifetime (Wender, Wolf, & Wasserstein, 2001). Prevalence rates in adulthood are estimated to be around 2.5% (APA, 2013). Although hyperactivity and impulsivity decline with age, inattention and distractibility are likely to persist (Larsson, Lichtenstein, & Larsson, 2006), at a time when the environmental demands (increased workload and expectations) become more challenging and complex (multiple teachers), and require more self-discipline and organization (Barkley, 1998). Adolescents with ADHD are at increased risk for academic problems, difficult interpersonal relationships, low self-esteem, and car accidents and have a higher incidence of psychiatric disorders, substance use disorders, and antisocial behavior (GrenwaldM ayes, 2002; Thompson, M olina, Pelham, & Gnagy, 2007). M annuzza and Klein (2000) found that children who demonstrate deficits in social skills and self-esteem continue to experience difficulties in these areas throughout adolescence and adulthood. Although there has been significant research and theoretical emphasis devoted to the primarily hyperactive/impulsive presentation of ADHD (Barkley, 1997), less is known about the predominantly inattentive presentation of ADHD, which has only been recognized as a separate type of disorder since the DSM-III (APA, 1980). However, focus on the inattentive type led Lahey et al. (1988) and Lahey and Willicut (2010) to suggest the likelihood of a variation on the inattentive type called sluggish cognitive tempo (SCT) based on the presence of a three-symptom cluster: (sluggishness, drowsiness, and daydreaming). Although there is some research support for the inclusion of SCT as a variant of the inattentive presentation (Garner, M arceaux, M rug, Patterson, & Hodgens, 2010 found over half their subjects with ADHDInattentive (ADHD-IN) met criteria for SCT), there is continued controversy regarding the merits of adding an additional category and unresolved questions regarding the nature of the differences or similarities between SCT and ADHD-IN. In order to resolve some of these issues and concerns, Barkley (2013) conducted a study of 1,800 children (6–17 years of age) to examine the presence of symptoms of SCT and ADHD-IN with respect to executive functions, level of impairment, and comorbidity. Parents completed rating scales for symptoms of ADHD (18 symptoms from DSM -IV); SCT (14 symptoms of SCT); a 70-item scale regarding deficits in executive functioning; and a functional impairments scale. Results revealed that symptoms of SCT were a separate cluster from symptoms of ADHD, although they shared more features of ADHD-IN than ADHD-impulsive type (ADHD-HI). Over half of those who met criteria for SCT (59%) also met criteria for ADHD, primarily the ADHD-IN type. When SCT overlapped with ADHD, there was a higher rate of comorbidity for most disorders than was evident for either disorder, in isolation. Overall, results suggested that SCT is not primarily a disorder of executive function like ADHD but carries its own risks for psychosocial impairment (sports, social, leisure, community domains) compared to ADHD. Barkley concludes that therapeutic interventions for SCT would likely be unique in some ways to current treatments for ADHD. Currently, ADHD is recognized as a neurodevelopmental disorder with three possible variations: predominantly inattentive (ADHDIN), hyperactive-impulsive (ADHD-HI), or ADHD-Combined presentations. The DSM -5 (APA, 2013) has included increased descriptions of how symptoms may manifest in adulthood (e.g., work is inaccurate; has poor time management; fails to meet deadlines; problems reviewing lengthy papers; misplaces/loses important items, such as keys, mobile telephones, etc.). The number of symptoms required for a diagnosis in late adolescence (17 years or older) and adulthood has been reduced to five symptoms (six are required for children) from a list of nine possible symptoms in each of the inattentive or hyperactive/impulsive symptom categories (APA, 2013, pp. 59–60). Medication As a Treatment From a neurobiological perspective, ADHD has been associated with low levels of the catecholamines (dopamine, norepinephrine, epinephrine) which are neurotransmitters that impact attention and motor activity. Dopamine is especially important since pathways usually rich in dopamine, such as the prefrontal cortex, are underactive in the brains of individuals with ADHD (Barkley, 1998). The most widely researched treatment for ADHD is the use of stimulant medication. The most commonly prescribed medications for ADHD are methylphenidate (Ritalin), dextroamphetamine (Dexedrine), and pemoline (Cylert), which act to increase the number of catecholamines in the brain (Berridge & Devilbiss, 2011; Berridge et al., 2006). Each of these medications has been demonstrated to be effective in reducing the symptoms of ADHD in numerous clinically controlled trials (Greenhill, 1998; Spencer et al., 1995). M ore recently, a nonstimulant medication, atomoxetine (Strattera), a selective norepinephrine reuptake inhibitor, has met with FDA approval for ADHD (Garnock-Jones & Keating, 2009) and is recommended to treat ADHD with comorbid anxiety, since stimulant medication can often exacerbate anxious responses in individuals. ADHD is often associated with impaired academic performance and problems in social functioning, and individuals with ADHD are also at increased risk for comorbid externalizing and internalizing disorders (Jensen et al., 2001). Although some parents are concerned that giving their child medication for ADHD can result in a gateway phenomenon, leading to abuse of other types of substances later on, most research supports the opposite conclusion. Adults with ADHD who were not treated are more likely to abuse substances later in life compared to those whose ADHD was managed medically in their youth (Biederman, Wilens, M ick, Spencer, & Faraone, 1999). Wilens (2001) found youth with ADHD who took medication had lower rates of substance use (marijuana, cocaine, alcohol) compared with controls. However, M olina and Pelham (2003) conducted an 8-year follow-up of children and youth with ADHD and found higher levels of substance use across all substances (alcohol, tobacco, illicit drugs) compared to peers without ADHD. Surprisingly, the greatest substance use was related to the severity of attention problems, not impulsivity-hyperactivity, as had been noted previously (Barkley, DuPaul, & M cM urray, 1990). However, in their longitudinal study of drug use outcomes for youth, August et al. (2006) found that youth with ADHD who also demonstrated externalizing problems had significantly worse drug outcomes (frequency of use and substance disorders) than those with ADHD-only or community controls, suggesting that ADHD without externalizing problems is not an increased risk for drug problems. There is no optimal treatment method for ADHD, but up to 80% of children with ADHD take some form of medication (Frame, 2003). Although medication has been proven effective in reducing symptoms of inattention, impulsivity, and hyperactivity, effects have not consistently been demonstrated to carry over to other areas such as social relationships or academic achievement (Pelham, Wheeler, & Chronis, 1998). There has been significant controversy regarding the overuse of stimulant medication for children with ADHD (Diller, 1996). Although research has supported the use of methylphenidate (Ritalin) as a performance enhancer for children and adults with ADHD, it has been estimated that the use of stimulant medication has increased as much as 300% since 1990 (Hancock, 1996; Robison, Sclar, Skaer, & Galin, 1999). Although a recent study conducted in Tennessee found that prevalence rates for primarily inattentive (4.7%), primarily hyperactive (3.4%), and combined subtypes (4.4%) of ADHD to be below 5% (Wolraich, Hannah, Pinnock, Baumgaerrel, & Brown, 1996). According to Leutwyler (1996), as many as 10%–12% of all boys in the United States are currently taking Ritalin for ADHD. Other studies demonstrate combining medical management with behavioral treatment and can enhance outcomes (Frame, 2003; Kendall & Shelton, 2003; Rey & Sawyer, 2004). However, other researchers have suggested that there is no definitive proof that a combined approach is more effective than medical management alone (Jensen et al., 2001; Wimett & Laustsen, 2003). Results do suggest, however, that medical management with stimulant medication is successful for short-term treatment of ADHD symptoms (Jensen et al., 2001), while studies of the success of longer-term medical management using stimulant medication have found an overall reduction in symptom presentation (Charach, Ickowicz, & Schachar, 2004), reduced risk for comorbid disorders (Biederman, M onuteaux, Spencer, Wilens, & Faraone, 2009), improved occupational outcomes (Halmoy, Fasmer, Gillberg, & Haavik, 2009), and improved academic performance (Powers, M arks, M iller, Newcorn, & Halperin, 2008). In part, the tendencies to overprescribe medication may result from the fact that the core symptoms of inattention, restlessness, and impulsivity found in ADHD also occur in other disorders, such as anxiety, learning disorders, childhood depression, bipolar disorder, and posttraumatic stress disorder. There is also evidence that only one-third to one-half of children diagnosed with ADHD by their pediatrician have had any type of psychological or educational assessment to support the diagnosis (Leutwyler, 1996). M ore recently, Reich, Huang, and Todd (2006) studied treatment patterns for a large sample (1,555) of twins diagnosed with ADHD and found that 60% of boys and 45% of girls who met full diagnosis for ADHD were on stimulant medication, while 35% of the sample was receiving stimulant medication but did not meet DSM criteria for ADHD. Multimodal and Alternative Treatment Methods Some children may be unable to tolerate the side effects of medications for ADHD, or some parents may opt for alternative methods to treat the disorder. For these reasons, and the wide range of possible negative outcomes for children and youth with ADHD, the management of ADHD will often require a multimodal approach, combining psychosocial approaches in lieu of or conjoint with medical interventions. Other forms of treatment that have been used to treat children and youth with ADHD include behavior modification and contingency management in the classroom, cognitive behavior modification (CBM ), parent training, and a variety of coaching techniques (Goldstein, 2005; Hallowell, 1995; Pelham et al., 1998). There are many examples in the research literature of attempts to justify the use of CBM for children with ADHD, in programs designed to increase verbal self-instruction, problem-solving strategies, cognitive modeling, and self-monitoring. The underlying premise in these approaches is that training in problem-solving will assist children with ADHD to manage behavioral self-control better (Hinshaw & Erhardt, 1991). However, while initial results of CBM were encouraging, more recent evidence suggests that CBM in isolation does not enhance outcomes for children with ADHD (Pelham et al., 1998). In collaboration with the National Institute of M ental Health (NIM H), the M TA (multimodal treatment study of ADHD) investigated treatment alternatives for ADHD in six independent research centers. The investigators compared medical management alone (M EDM GT), behavioral modification (BEH), combined treatment (COM B), and a community comparison (CC). The BEH and CC groups did not receive medication. At the completion of the study, only the M EDM GT and COM B groups demonstrated symptom reductions (Swanson et al., 2001). However, follow-up at 14 months revealed that the effect size was reduced by 50%, while follow-up at 24 months revealed further deterioration. Within-group analysis revealed the greatest deterioration was for those who took medication as part of the study but discontinued after the study was completed, while the greatest long-term reduction in symptoms was for those children who were not medicated during the study, but who began taking medication once the study was completed (M TA Cooperative Group, 2004). One important side effect for the group who took medication the longest (throughout the study and remained on medication throughout the follow-up periods) was after the first 2 years; they demonstrated a 20% reduction in stimulant-related height gain (approximately 2 cm) compared to peers who never took the medication. Although a rebound was expected in the third year, it never occurred, although no further reduction was evident; researchers continue to monitor the effects over 10-year and 12-year periods for height and weight concerns and other long-term functional and symptomatic outcomes (Swanson et al., 2008). Psychiatrist Ned Hallowell (1995) introduced the concept of “coaching” as a therapeutic measure for assisting adults with ADHD to manage life’s challenges and expressed his frustration at being unable to provide such support on a daily basis. In practice, the technique, which seems to make clinical sense, has gained momentum; however, there has been very little effort to empirically measure the effectiveness of this intervention (Goldstein, 2005). Although Jaksa and Ratey (1999) attempt to define coaching as a set of goal-driven and practical strategies that are developed by a coach and client to facilitate meeting the challenges of everyday life, they do not address how the strategies are developed, which strategies are most successful, and how success should be objectively measured and monitored. M ore recently, the Edge Foundation funded a national study, involving eight universities and two community colleges. The goal of the study was to document the effectiveness of coaching for college students with ADHD, and the study examined the effects of coaching on 127 students randomly assigned to treatment or control conditions. In this study, executive functioning and related skills were measured using the Learning and Study Strategies Inventory (LASSI; Weinstein & Palmer, 2002). Results revealed a significant difference in total gain on the LASSI for those enrolled in the coaching group relative to controls on all three cluster scores, including self-regulation, skill, and will. Follow-up focus groups revealed increased positive feelings of well-being, empowerment, and reduced feelings of stress in those who participated in the coaching groups (Field, Parker, Sawilowsky, & Rolands, 2010). Similarily, Kubik (2010) found that ADHD coaching for adults with ADHD showed a positive effect on pre- to postcoaching scores for cognitive, behavioral, and emotional outcomes. When Colby mentioned that he could think more clearly after riding his bike or walking in the park or on the golf course, he had intuitively discovered a method of increasing his focus and attention in a way that has only recently been investigated empirically. Taylor and Kuo (2009) studied the attention and concentration abilities of 17 children diagnosed with ADHD (7–12 years of age) after taking a 20-minute walk in three different environments: downtown, in a neighborhood, or in the park. Children in the study concentrated significantly better after the walk in the park, relative to walks in the other two environments. The researchers suggest that “doses of nature” might be a “new tool in the tool kit for managing ADHD symptoms” (p. 402). Post-Case Questions 1. According to Russell Barkley (1997), sustained attention comes in two different forms: contingency-shaped attention and goal-directed persistence.Factors that can be instrumental in increasing or decreasing contingent attention include task novelty, intrinsic interest, reinforcing properties inherent in the task, fatigue state of the participant, and presence or absence of adult supervision. According to Barkley, this form of sustained attention is often not problematic for ADHD children. However, goal-directed persistence requires sustained persistence of attention and effort in the absence of highly reinforcing task properties, which is extremely problematic for children with ADHD. Based on Barkley’s descriptions of the two forms of sustained attention, prepare a response for Colby’s mother that would address her questions regarding why Colby can stay focused for long periods of time playing video games but is extremely distracted while attempting his homework assignments. Given your understanding of sustained attention, how might Colby’s “gifted” intelligence serve to further exacerbate his problems? 2. Based on the information presented in the case study, would Colby’s symptoms match criteria in the DSM for ADHD? If so, which type of ADHD does Colby exhibit? 3. Develop a case formulation for Colby from two different perspectives (e.g., cognitive behavioral, family systems, biological, etc.). How would these different models influence the nature and development of an intervention program for Colby? 4. Colby was identified as “gifted” when he was in the fourth grade. Do you believe that Colby’s gifted label was ultimately a positive factor or a negative factor in his development? Explain. 5. Recently, there has been increasing research in the area of resilience. For example, Wilmshurst, Peele, and Wilmshurst (2011) found that college students with ADHD might be a particularly resilient group. Individual characteristics that have emerged as protective factors which can buffer a child from the impact of having a depressed mother are having an easy temperament (as opposed to difficult temperament) and having a higher IQ. Some common elements in resilience research include positive, supportive caregivers; positive self-views; motivation to succeed; and cognitive and self-regulatory skills. Given these findings and the discussion of resilience in the Introduction to Chapter 1, discuss the strengths and limitations that Colby faces that will challenge his ability to be resilient. How might his chances for increasing resilience be increased? 6. Suggested individual or group presentation activity: As part of your intervention plan, you have asked that Tina and Josh attend a session together in the clinic to address how to best manage Colby’s attention problems and his issues with emotion regulation. You want Colby to be part of the session, as well. How would you prepare Colby for the session, and what questions would you want answered by Tina and Josh? Who else might you want to invite to the meeting at the clinic? Prepare a script for role-playing each of the player’s parts in the session and how they could potentially contribute information to assist with developing an intervention plan that would best meet Colby’s needs. Tina has asked that you attend a meeting at the school to provide feedback regarding your assessment and to assist in the development of a 504 plan for Colby. Who do you think should be involved in the meeting? Prepare a script for role-playing each of the player’s parts in the school meeting and how they could potentially contribute information to assist with developing a 504 plan that would best meet Colby’s needs. REFERENCES American Psychiatric Association (APA). (1980). Diagnostic and statistical manual of mental disorders (3rd ed.). Arlington, VA: Author. American Psychiatric Association (APA). (2013). 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User’s manual for those administering learning and study strategies inventory. Dunedin, FL: H & H Publishing. Wender, P. H., Wolf, L. E., & Wasserstein, J. (2001). Adults with ADHD: An overview. In P. J. Wassermen, L. Wolf, & F. F. LeFever (Eds.), Adult attention deficit disorder: Brain mechanisms and life outcomes (pp. 1–16). New York, NY: New York Academy of Sciences. Wilens, T. E. (2001). ADHD and alcohol or drug abuse. Program and abstracts of the 154th Annual M eeting of the American Psychiatric Association, New Orleans. Willcutt, E. G., (2012). The prevalence of DSM -IV attentiondeficit/hyperactivity disorder: A meta-analytic review. Neurotherapeutics, 9(3), 490–499. Wilmshurst, L., Peele, M ., & Wilmshurst, L. (2011). Resilience and well-being in college students with and without a diagnosis of ADHD. Journal of Attention Disorders, 15(1), 11–17. Wimett, L., & Laustsen, G. (2003) ‘First new ADHD treatment in 30 years’, Nurse Practitioner, 28(12), 50–53. Wolraich, M . L., Hannah, I. N., Pinnock, T. Y., Baumgaerrel, A., & Brown, J. (1996). Comparison of diagnostic criteria for attentiondeficit hyperactivity disorder in a county-wide sample. Journal of American Academy of Child and Adolescent Psychiatry, 35, 319– 324. CASE 5 THOMAS MCLEARN : READ ME A STORY DYSLEXIA Thomas was referred to the clinic by his parents to evaluate his learning potential and academic profile and to investigate any possible areas of social/emotional concern. His parents were puzzled. Thomas, a bright, chatty, and active child, was falling behind in the second grade. What made this situation even more difficult to comprehend was that Thomas had already repeated the first grade to allow for consolidation of foundation skills. Parents were convinced that if they held Thomas back a year, his increased maturity would guarantee his academic success. Although he seemed to enter second grade much better prepared than he would have a year ago, his first progress report indicated that he was well below his peers in the language arts areas. Thomas presented as a typical 8-year-old Caucasian boy from a middle-class family. He was immediately drawn to the picture of the solar system on the psychologist’s office wall and engaged in a lively conversation about the planets and the fact that M ars has at least three moons that we know of. Thomas chatted at length about his love of the television science program Bill Nye the Science Guy and how he loved the show on gravity, called “Attraction Action.” Thomas has an older sister, Elaine, who is currently at the top of her class, in the fifth grade. Although Elaine is very protective of Thomas, he is finding it increasingly difficult to accept her successes, given his academic failures. His parents are now feeling uncomfortable praising her accomplishments in front of Thomas and are becoming increasingly concerned because their once confident son who can be a leader on the athletic field was becoming increasingly turned off by school and frustrated by homework assignments that he could not complete on his own. DEVELOPMENTAL HISTORY/FAMILY BACKGROUND Nancy M cLearn was very prompt in completing and returning the intake surveys and called the clinic to inquire whether there was any additional information that she might provide. The birth history was relatively uneventful, except for the fact that the delivery was very long and labor was intense. Eventually, they had to use forceps to complete the delivery. Thomas achieved all developmental milestones as expected and walked just a few days after his first birthday. Once he began talking, he was very chatty and loved to talk to his sister who treated him as if he were a real live doll. Because they lived in a rural area, there were few other children around and Thomas and Elaine became very close “buddies” early on. Nancy did not send Thomas to preschool, since she was a stay-at-home mom and loved the time together, as she was homeschooling Elaine, at the time. Eventually, the family moved closer to town, across from the community park, and at that point, Thomas and Elaine seemed to find their own set of friends. The family took advantage of the community athletic complex which had a very strong program for children in the summer and during the school year. Thomas loved sports and was a natural at T-Ball. Soon he was playing soccer, softball, and joining his friends skateboarding at the park. He was a natural athlete and the young boys on his team looked up to him as their leader. In the fall, Thomas and Elaine were enrolled at Garden City Elementary School which was a short walk from their home. Thomas entered the first grade, while his sister began the third grade. Nancy also found a part-time job working for a real estate company, while her husband Arnold continued to gain promotion after promotion in the sales department of a major corporation, 20 minutes from their new home. Everything seemed to be going according to plan, until Thomas got his first midterm report. Despite his natural curiosity and love of science, his teacher was concerned because he was not progressing as she expected in the language arts program. Despite his love of science books, he was having problems learning the weekly word lists. His teacher also described him as having problems remaining focused on the task at hand and taking forever to get to work. Thomas clearly preferred socializing to working on academic tasks. Strengths were noted in his gross motor skills (well coordinated), his ability to produce very detailed drawings for projects, and his facility with numbers. Nancy and Arnold met with Thomas’ teacher to find out how they could support her efforts and enhance Thomas’ success in the language arts program. The teacher recommended that Nancy continue to read to Thomas every night (Thomas loved this, especially science books) and help him review his word lists, daily. Despite these efforts, Thomas was clearly not ready to progress to the second grade at the end of the school year, and the consensus was to repeat the first grade to allow for consolidation of key academic skills. Although his parents were reluctant to have Thomas repeat the grade, they rationalized that since he had an early birthdate anyway, this additional year would allow for Thomas to catch up and the increased maturity would benefit his skill acquisition and his ability to remain focused in class. M idway through the second year in the Grade 1 program, it looked as if the decision was a good one. Thomas was feeling more confident academically, although they did catch him telling his teammates that he was in the second grade, because he was embarrassed to let them know he had to repeat the first grade. The following year, it seemed that Thomas has started out on a better level; however, the midterm report was very discouraging. Thomas was not progressing at the same rate as his peers, and despite his ability to tell beautiful stories, orally, he was becoming increasingly embarrassed during oral reading and was not very successful on his spelling tests. In order to avoid his embarrassment, Thomas would have his mother read the passages to him at home every night and then memorize them so he could “appear” to be reading them during oral reading the next day. This worked for a while, until the teacher introduced a new set of reading materials to the class, and when it was Thomas turn to read, it was as if the words were in a foreign language; he could not recognize any of the words he have previously “read.” His teacher expressed a number of additional concerns about Thomas’ classroom performance, including ease of distractibility, poor ability to concentrate, daydreaming, losing or misplacing items necessary for tasks, making careless mistakes, being very disorganized, and forgetfulness. The teacher recommended smaller group instruction led by some of the older children (the reading buddies program) and suggested parents talk to the school psychologist about potential attention problems. Nancy and Arnold agreed to have the school psychologist observe Thomas in the classroom and then meet with them to discuss her impressions. The school psychologist observed Thomas for one morning, during a class lesson, followed by a 15-minute period of independent seat work. During this period of time, Thomas was noted to be engaged in on-task behaviors for approximately 15% of the time and in offtask behaviors for the vast majority of the observation period. The school psychologist asked the parents to complete the Conners Rating Scales and also obtained permission to have his teacher complete the scales, as well. Thomas’ parents and teacher both rated Thomas in the clinical range for inattentive problems (failing to finish tasks, problems in sustaining attention), the ADHD Index, the DSM Inattentive, and Total Scales. Based on the findings, the family agreed to seek further counsel regarding potential treatment for ADHD from the family pediatrician. Thomas was diagnosed with ADHD, primarily inattentive type, and was placed on a trial of Ritalin. Although Thomas seemed to improve his on-task performance initially and seemed to be better able to focus on Ritalin, the quality of his work continued to reflect his continued struggle with reading and written expression. Despite considerable efforts at home, Thomas was not able to bring these skills to new tasks with new reading or writing assignments. REASON FOR REFERRAL Nancy and Arnold were becoming increasingly concerned about Thomas’ psychological well-being. He could often be heard calling himself “stupid” when he was trying to complete his homework and was becoming more temperamental, breaking into tears or throwing his books on the floor in fits of frustration. He would be entering the third grade in the fall and was still struggling to learn even the most basic reading vocabulary. His strong analytical skills were often evident in class discussions, especially on science topics, yet written work would be far inferior to what he could express verbally. Often his poor spelling would result in Thomas using only words that he had memorized by sight, resulting in a very basic response to most writing assignments. Nancy and Arnold decided to bring Thomas to the clinic for a complete assessment over the summer so that they could be better prepared to help Thomas tackle the Grade 3 program. During the intake interview, the M cLearns answered many questions about their family history, Thomas’ developmental milestones, and his school history. There were a number of relatives on both sides of the family who did not go far in school, not because they were not intelligent (most were highly successful entrepreneurs) but because formal schooling was not a good fit for them. Nancy excelled academically, and if her financial resources were better, she would have loved to go on to University and study architecture. Arnold was a different story. He admitted that he did not like school because he found it “boring.” He would much rather “experience” life than read about it. In fact, he really disliked reading, and throughout English classes, he would always seek out the “movie version” rather than have to labor through the written word. He stated that his high energy profile is an excellent fit with sales, and he could never be a “book worm.” He also wondered if maybe Thomas was just more like him than Nancy. ASSESSMENT RESULTS Guidelines to the interpretation of standard scores and T scores, as well as information regarding specific assessment instruments used in the case can be found in Appendix C. When Thomas entered the assessment room, he seemed innately curious about what was going to take place and asked some very good questions about the nature of the assessment process. He also asked if he had to do “school type work.” When the response was, “a bit,” he immediately confessed that he was not good at reading or spelling and said that if the work was too hard he would not be able to read it. He asked if we were going to do any “fun stuff.” The interviewer continued to try and establish rapport, since it was clear that Thomas was getting apprehensive about having to read or spell. When ask what he liked to do best, he responded that he loved to build things, do science experiments, and draw robots. Thomas was given a sheet of paper and asked to draw one of his favorite robots. There was no delay in responding, and Thomas immediately set pencil to paper producing a very sophisticated picture of a robot with transformer-like capabilities. He went on to add detailed drawings of different features that could be activated to transform into different functions. He was very animated and engaged as he described the features in the robot he had created. Thomas’ overall IQ score on the WISC-V of 110 places him in the high average range overall. Usually students who score within this level do not encounter problems academically; however, his intellectual scores did not produce an even profile. Thomas scored at the 16 percentile (Standard Score of 85) for the Verbal Comprehension Index (VCI); however, this was significantly below his scores on the Fluid Reasoning Index (FRI) of 120 (91st percentile). Working memory was higher than might be anticipated given his attention problems (Standard Score of 105), but still well below his FRI score. Processing speed was within the average range (50th percentile). Given these scores, the immediate impression is that Thomas has a significant strength in areas of visual perceptual reasoning and a relative weakness in the area of verbal comprehension. Academically, Thomas managed to struggle through the academic tests and was much more confident in his approach to the mathematical portions of the test than when asked to read, spell, or write. On the Weschler Individual Achievement Tests (WIAT-III), Thomas scored in the high average range for mathematics (Standard Score 115) and in the borderline range for reading (Standard Score of 72) and written expression (Standard Score 70). Clearly, Thomas’ ability in the language arts areas was significantly below his intellectual level, especially his superior skills in fluid reasoning. Further assessment was conducted using the Woodcock Johnson Cognitive Assessment and revealed additional support for a diagnosis of a specific learning disorder (SLD). There was significant variation between skill levels for perceptually based versus auditory-based functioning. Significant strengths ranged from standard scores of 120 (visual spatial thinking), short-term memory of 115, and processing speed of 115, compared to significant weaknesses in standard scores ranging from 80 for longterm memory, 75 for cognitive fluency and auditory processing, and 70 for phoneme awareness. Results suggest that Thomas is experiencing problems primarily with auditory processing which likely translates into difficulties making fine discriminations between letter sounds. Students with this type of difficulty may mishear sounds like (b, p, t, v). There are also difficulties with fluency which would make oral reading more difficult and require additional time to respond to questions. Reading would likely be slow, labored, and, due to problems with longer term memory, be difficult to retrieve out of long-term storage because information is poorly organized and labeled. When asked a question, there would be anticipated delays due to retrieval problems. These processing problems are severe and when standard scores in these weak areas (70–80) are compared to his IQ (110), there is a discrepancy of over one and a half standard deviations (30–40 points) between these two areas of functioning. Thomas’ parents and teacher completed the Achenbach System of Empirically Based Assessment (ASEBA) Scales with parents noting clinical elevations on scales for anxious/depressed behaviors and attention problems, while his teacher noted elevations on the attention problems scale. On the Beck Youth Inventories, Thomas’ score for self-concept was at the 40th percentile. ISSUES, TRENDS, AND TREATMENT ALTERNATIVES An SLD or specific learning disability is evident when an individual encounters significant problems in the acquisition of specific academic skills during the school-age period and is noted in skills that are significantly below age expectations (APA, 2013). There has been considerable controversy regarding how SLD is defined and identified, and differences exist in recommendations proposed by the DSM -5, IDEA (2004), and organizations such as the Learning Disabilities Association of America (LDA) and the National Joint Committee on Learning Disabilities (NJCLD). Please see Appendix B for a detailed discussion on issues in the definition and classification of SLD. The DSM -5 recognizes learning disorders in three broad areas, including impairments in reading, written expression, and mathematics (dyscalculia). In order to meet criteria for an SLD, the impairments must indicate skill levels that are significantly below age expectations (as measured by standardized assessments), manifest when demands for the skill exceed limitations, and are not better accounted for by intellectual disabilities, organic causes (hearing, vision), other neurodevelopmental disorders, or adversity (lack of teaching/learning opportunity) (APA, 2013, p. 67). The most recent criteria do not emphasize the discrepancy between IQ and achievement that was part of the previous description of the disorder, stating simply that the disorder appears in those who otherwise demonstrate normal levels of intellectual functioning, which the DSM defines as “generally estimated by an IQ score of greater than about 70,” and that the SLD is “unexpected academic achievement,” which is not part of a more global learning problem such is evident in intellectual disability or global developmental delay (APA, 2013, p. 69). Several different types of SLD have been identified in the research, including dyslexia (reading disability with spelling problems), dysgraphia (disability in written expression), dyscalculia (disability in mathematics), nonverbal learning disability (disability in visuospatial areas), and dyspraxia (developmental coordination disorder, DCD). M ost researchers consider dyslexia to be the most common type of SLD, accounting for up to 80% of all cases, with prevalence rates ranging between 5% and 17% depending on the nature of the population sampled (Ferrer et al., 2010). However, others contend that as many as 92% of those with SLD cite written expression as the major problem (M ayes & Calhoun, 2007). Younger children with reading disabilities may go undiagnosed, especially if good memory skills allow the “appearance” of reading. However, by the third grade, children who are poor readers are often painfully aware of their reading problems and may try to avoid reading in public to escape embarrassment. Individuals with a reading disability evidence problems in accuracy of decoding, especially in the primary grades; however, with increasing age, fluency problems (reading that is slow and labored) pose increased barriers to academic success, especially during “high stakes standardized tests” such as the SAT and GM AT (Ferrer et al., 2010; Shawitz & Shaywitz, 2008). The DSM-5 (APA, 2013) specifically provides criteria for using the terms dyslexia and dyscalculia to refer to patterns of learning difficulties characterized by the following problems: dyslexia—accurate and fluent word recognition, poor decoding, and poor spelling; and dyscalculia—processing numerical information, learning arithmetic facts, and performing accurate or fluent calculations. The DSM -5 also notes the importance of noting any additional problems that may be evident in areas of reading comprehension (for dyslexia) and math reasoning (for dyscalculia). Heritability is associated with etiology for at least half of all cases (Olson & Byrne, 2005), with between 23% and 65% of individuals with dyslexia having a parent with the disorder and 40% having a sibling with the disorder (Pennington & Gilgern, 1996). The association between ADHD and dyslexia runs high between 38% and 45% of those with ADHD or SLD being diagnosed with both disorders. Weaknesses in working memory, executive function, and receptive and expressive language have all been associated with dyslexia (Johnson, Humphrey, M ellard, Woods, & Swanson, 2010). Neurological studies using functional magnetic resonance imaging (fM RI) have charted the path of reading in poor readers compared to normal readers and have found that while those with dyslexia access both the left and right anterior systems, good readers focus primarily on the left hemispheres for phoneme recognition (anterior system), sound symbol association (posterior system), and storage of sight vocabulary (posterior system). Developmentally, normal reading progresses from the right to left hemisphere and from the posterior to frontal regions (Shawitz & Shaywitz, 2008). Far less information is known about disorders of written expression (dysgraphia) even though dysgraphia often accompanies dyslexia (Hooper, Swartz, Wakely, de Kruif, & M ontgomery, 2002). Dysgraphia can manifest in a number of different ways, including errors of grammar, punctuation, organizational presentation, and initiating written assignments. Intervention: Although Response to Intervention (RTI) is an approach that is frequently used to identify early reading problems and provide supportive remedial interventions, results of at least one metacognitive study suggest that for those with SLD who have IQ scores in the higher ranges, this method may not be ideal. Tran and colleagues (2011) found that children with significant reading problems who had IQ scores in the higher ranges were less responsive and that reading problems were resistant to this form of intervention. On a more positive note, Shawitz and Shaywitz (2008) found that individual tutoring and direct instruction (50 minutes daily) on phonemes and sound symbol association resulted in the development of reading patterns detected by fM RI that resembled those of normal readers. Programs that target problems in written expression have met with success through the use of direct instruction in techniques of planning and the use of prompts and guided feedback (Vaughn, Gersten, & Chard, 2000). For students with severe writing problems, dictating passages orally may be the only way that they can be successful in maximizing their potential (Graham, Harris, & Larsen, 2001). Post-Case Questions 1. Using information from the case study and the supplemental information in Appendix B, state how Thomas’ SLD might be identified and described by proponents of the different classification systems: DSM -5, IDEA (2004), Joint National Joint Committee on Learning Disabilities (NJCLD). 2. Develop a case formulation for Thomas from two theoretical perspectives. How would these formulations affect different treatment outcomes? 3. At one point, Thomas’ parents had a significant disagreement about whether or not Thomas should continue to be involved in extracurricular activities such as being a member of the soccer team, given his poor academic performance. If you were the school psychologist, how would you advise his parents regarding this issue? What are the benefits and what are the disadvantages for Thomas of being involved in extracurricular activities? 4. There has been a major controversy regarding whether identification of SLD should involve the discrepancy criteria (see Appendix B). Having read the different arguments, what identification procedure would you support and why? Please use citations to support your arguments. 5. There are several theories on student “retention and promotion.” Visit the NASP website and read the article that is posted regarding “Grade Retention and Promotion: Information for Parents.” After reading the article, what advice would you have given Thomas’ parents if they consulted with you regarding having Thomas repeat the first grade. 6. Thomas’ mother has invited you to attend a meeting at the school to provide feedback regarding your assessment. In the meeting, it will be decided whether or not Thomas meets criteria for Special Education and Related Services. If it is determined that he is eligible for services, what Goals and Objectives would you want to see as part of his IEP? 7. Would you recommend he receive “related services” and if so, what should the nature of those services be? 8. Prepare a script for role-playing each of the player’s parts in the school meeting. Who do you think should be attending the meeting? How could each participant potentially contribute information to assist with developing an intervention plan that would best meet Thomas’ needs? REFERENCES American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Arlington, VA: Author. Ferrer, E., Bennett, A., Shaywitz, J. M ., Holahan, J. M ., M archione, K., & Shaywitz, S. E. (2010). Uncoupling of reading and IQ over time: Empirical evidence for a definition of dyslexia. Psychological Science, 21(93), 93–101. Graham, S., Harris, K. R., & Larsen, L. (2001). Prevention and intervention of writing difficulties for students with learning disabilities. Learning Disabilities Research and Practice, 16, 74– 84. Hooper, S. R., Swartz, C. W., Wakely, M . B., de Kruif, R. E., & M ontgomery, J. W. (2002). Executive functions in elementary school children with and without problems in written expression. Journal of Learning Disabilities, 35(1), 57–68. IDEA. (2004). Individuals with Disabilities Education Act (IDEA). Retrieved from https://sites.ed.gov/idea/ Johnson, E. E., Humphrey, M ., M ellard, D. F., Woods, K., & Swanson, H. L. (2010). Cognitive processing deficits and students with specific learning disabilities: A selective metaanalysis of the literature. Learning Disability Quarterly, 33, 3–18. M ayes, S. D., & Calhoun, S. L. (2007). Challenging the assumptions about the frequency and coexistence of learning disability types. School Psychology International, 28(4), 437–448. Olson, R., & Byrne, B. (2005). Genetic and environmental influences on reading and language ability and disability. In H. Catts & A. Kamhi (Eds.), The connections between language and reading disability (pp. 173–200). Hillsdale, NJ: Erlbaum. Pennington, G., & Gilgern, J. (1996). How is dyslexia transmitted? Baltimore, M D: York. Shawitz, S. E., & Shaywitz, B. A. (2008). Paying attention to reading: The neurobiology of reading and dyslexia. Development and Psychopathology, 20, 1329–1349. Tran, L., Sanchez, T., Arellano, B., & Swanson, H. L. (2011). A meta-Analysis of the RTI literature for children at risk for reading disabilities. Journal of Learning Disabilities, 44(3), 283–295. Vaughn, S., Gersten, R., & Chard, D. J. (2000). The underlying message in LD intervention research: Findings from research syntheses. Exceptional Children, 6, 99–114. CASE 6 SANDY SMITH : MARCHING TO THE BEAT OF A DIFFERENT DRUM NONVERBAL LEARNING DISABILITY When Eileen opened the clinic door, it was as if she were facing her worst fears head on. Sandy’s pleas and verbal exchanges could be heard by the office staff all the way from the elevator at the other end of the building. Although Sandy was physically petite for her 8 years, her stiff posture almost anchored her mother’s arm to the ground. Eileen was embarrassed by Sandy’s behavior, but Sandy’s reaction only served to confirm her resolve to finally seek professional help. As Eileen approached the receptionist’s desk, Sandy bumped into the desk and slid onto the couch awkwardly beside her mother, with her legs entwined around each other like a pretzel. In the waiting room, Eileen tried to collect her thoughts about her daughter’s development in anticipation of the many interview questions that might be asked. DEVELOPMENTAL HISTORY/FAMILY BACKGROUND Eileen had hoped for a daughter her entire pregnancy, even though Tom’s family lineage had produced predominantly males. Against the odds, Eileen’s hopes were answered and miraculously Sandy was born 8 years ago. The pregnancy and delivery were uneventful. Sandy was a beautiful baby, and Tom was proud to be the father of a baby girl. Sandy was also adored by her two older brothers, Jason, 6 years, and Sean, 4 years. Everything seemed to be going well. There were some minor stresses initially when Eileen had to give up attempts to nurse Sandy. Eileen had no problem nursing her other two infants, but due to Sandy’s erratic sleep habits and irritability, her doctor recommended switching to the bottle. This switch proved difficult; Sandy’s poor coordination meant that propping the bottle would not work, since she often lost the bottle if her mother was not holding it. Sandy was a very active baby and she seemed to require little sleep. Eileen reasoned that perhaps the fact that the baby needed less sleep was a sign of curiosity and intelligence. Eileen placed a brightly colored mobile over the bed and added the crib activity center that her infant sons had enjoyed so much. However, Sandy had no interest in the mobile or in exploring the activity center. Sandy actually became very agitated with the crib additions, and Eileen responded by removing everything from the crib, which seemed to calm Sandy down. Through trial and error, Eileen eventually found that the sound of a wind-up merry-go-round on the dresser could be helpful in soothing Sandy. To this day, Sandy listens to music to help calm her down when she is anxious. Despite her difficulties adjusting to any changes in her environment or schedule, Sandy did demonstrate one extremely advanced area of development. She was a very early talker and had amassed an amazing vocabulary by the time she was 2. At 2½ years of age, Sandy was sounding more like a miniature adult than a child and would repeat her grandmother’s phrases “verbatim.” Sandy would surprise onlookers in the grocery store with her pseudo-adult comments on the quality of the fruits and vegetables. By 3 years of age, Sandy could repeat stories from taped texts, word for word, and Sandy often recited these stories riding in the car, during dinner, or when playing by herself. Sandy’s strong verbal skills were in sharp contrast to her slowerdeveloping motor skills. Sandy was a highly verbal but very awkward toddler. Initially, Eileen worried about her muscle coordination, since Sandy was slow to sit and would fall over if not securely propped with a pillow. When Sandy began to walk, she looked as though she was drunk, swaying to the left and with an off-balance gait. Sandy’s legs were black and blue from falling down and bumping into things. At first, Eileen thought that Sandy was so preoccupied with talking that she was not looking where she was going. She eventually had Sandy’s vision checked, but results came back negative. Sandy’s poor coordination also seemed to influence her choices of play activities. Unlike the boys, Sandy had little interest in Legos, blocks, or puzzles. Sandy was definitely much more interested in chatting than doing. Eileen tried to enroll Sandy in a preschool gymnastics program to improve her coordination. However, this strategy backfired, since Sandy was extremely frustrated and unable to reproduce many of the tumbling movements; she could not touch her toes to her head and repeatedly fell off the balance beam. The other children were soon making fun of Sandy, imitating her awkward movements, and Eileen removed her from the program. Eileen was becoming concerned about Sandy’s fears of going anywhere new and her increasingly clingy behavior. Sandy was soon going to be kindergarten age, and Eileen worried about the transition. She enrolled Sandy in a morning preschool program 2 days a week. Each day was torture, getting Sandy into the car and over to the day care center. Sandy did not want to go and would scream, hide, and run away (often running into something) in a frenzied panic. Eileen was determined to persist, however, knowing that it would only be worse if she were to give in. Sandy’s preschool experience was not very successful. As long as she could sit and read by herself or play on the flannel board, spelling words with preformed letters, Sandy was quite content. However, other children did not seem to want to play with Sandy, and during free playtime, Sandy was often left alone. On the few occasions that Sandy tried to enter a group activity, her awkward sense of timing and poor social skills usually resulted in a negative experience, and Sandy would withdraw once again. She did not seem to profit from experiences, either. The following day, Sandy would approach the same child in the same way, setting herself up for another rejection and subsequent retreat. When Sandy was enrolled in the kindergarten program, her social struggles continued on a regular basis. Social skills were very immature and Sandy did not seem to take nonverbal communication (facial expressions, conversational tone) into consideration at any time. Her sense of social/personal space was also poor, and Sandy would often stand too close and encroach on other children’s sense of comfort zone. Eventually, Sandy preferred to shadow the teacher instead of interacting with the other children. She gained her rewards when she could read aloud to the class and write words on the board in big letters. However, a lot of kindergarten activities were very difficult for Sandy: cutting and pasting, tracing, drawing, painting, and the big shoe with the lace to be tied and untied. Sandy often cried at home, asking if she could please stay home from school. Sandy continued to experience problems with coordination. At 8 years of age, Sandy had yet to learn how to ride a two-wheeler. She never made the transition from training wheels, and even with the training wheels on, Sandy continued to lose her balance and fall over. Had it not been for the bicycle helmet, Eileen was sure that Sandy might have also had a head injury to deal with. Luckily, to Eileen’s knowledge, Sandy never injured her head in any of the falls, although she did sustain many bruises on her arms and legs. Recently, Sandy’s teacher had contacted Eileen concerning Sandy’s reluctance to participate in the gym class and the many excuses that she gave to avoid engaging in the ongoing activities. Sandy had begged her mother to write a note to the teacher to get her out of gym class, but Eileen refused. Sandy’s lack of coordination and clumsiness also seemed to permeate her total appearance. Despite her mother’s extensive efforts at home to coordinate and organize Sandy’s outfits for the next day, Sandy always looked somewhat disheveled and thrown together: buttons would not match the right button holes; shoelaces were dangling from her feet. Eileen eventually refurbished Sandy’s wardrobe, removing button-up shirts and replacing lace-up shoes with Velcro- strap shoes. Sandy’s lack of organization and messiness was pervasive. If Sandy wanted to remove an object from her dresser drawer, half the drawer often spilled over onto the floor. It was the same with her desk at school, which was jammed with papers crumpled and rolled into little balls. Although Sandy’s messiness and disorganization were annoying, they were not the reasons that brought Eileen to the clinic. Eileen was frustrated and confused. Sandy was a real puzzle to her and Eileen was now very motivated to find out what could possibly explain how her daughter’s abilities could be so extreme: seemingly so very bright in some areas, yet totally lost in others. Sandy had an excellent vocabulary and wonderful memory for words. As a result, she could read beautifully and spell most words she had seen, without error. However, despite Sandy’s excellent vocabulary, spelling, and reading skills, she was having increasing problems with reading comprehension. Sandy could recall a passage verbatim, but she seemed to have real problems answering any questions that required an inference going beyond information presented in the passage. Eileen recalled last night’s homework assignment involving a reading passage that described a family eating breakfast together. Sandy had to answer a number of comprehension questions about the story. Sandy had no idea how to answer one question, which asked, “What time of day is it?” Even with Eileen’s help and questions directed at passage clues, Sandy was unable to answer the question, saying: “I read it over and over. It doesn’t tell you the time of day!” Eileen wondered if Sandy’s problems telling time could somehow be related to her difficulties with comprehension. Sandy was still unable to tell time on an analog clock. Even if she could tell you the time on a digital clock, she seemed oblivious to how time related to activities. Eileen recalled an incident where Sandy wanted to have some ice cream for breakfast. When Eileen told Sandy, “You don’t have ice cream for breakfast,” Sandy’s response was, “Fine. Then I’ll have dinner, now!” Initially, she thought Sandy was joking, but she was completely serious. There were other situations as well, where Sandy’s odd thinking caught Eileen completely off guard. Sandy seemed to take things very literally, all the time. Sandy could be very gullible, and Eileen had to monitor her brothers carefully so they would stop playing tricks on Sandy. Eileen remembered one time that Sean told Sandy if she ate her ice cream cone from the bottom of the cone, she would get more ice cream. Eileen came in to find Sandy trying to eat the ice cream cone upside down with it melting all over the place. Eileen recalled another incident when they were watching a TV movie about an odd character and Tom mentioned that, “He certainly marches to the beat of a different drum.” Sandy looked up and said, “Where’s the parade?” Tom tried to explain the expression, but Sandy just did not get it and continued to ask about the drummer in the parade. She was very upset that she missed the parade. She eventually went to bed that evening upset, talking about the parade and how drummers march. At school, Sandy’s literal interpretations often were not appreciated by her teacher, who thought that Sandy was just being smart. M athematics was another area of real difficulty for Sandy. It was as if mathematics involved a foreign language. Homework was an endless struggle involving hours and hours of explanations and discussions. Sandy did not seem to be able to perform the same task twice in a row without having it all explained over and over again. The next day, it was as if she had never heard the explanation. Academic problems were compounded by Sandy’s poor handwriting. Numbers as well as letters were often scrawled across the page without attention to writing between the lines, spacing, or direction. Often, her writing was impossible to decipher. As a result of her problems with math, comprehension, and writing, Sandy was falling farther and farther behind. At a recent school conference, Eileen was informed that the school was recommending that Sandy repeat the third grade. Socially, Sandy seemed to have few friends at school. At the parent–teacher conference, Eileen asked Sandy’s teacher what was keeping Sandy from forming more friendships with the other children. According to Sandy’s teacher, it was Sandy’s poor sense of timing that often turned the other kids off. Sandy often made comments at inappropriate times or out of context, and the other girls seemed to respond by ignoring and excluding her. Sandy also talked nonstop and did not give the other girls a chance to get a word in. Eileen was very disappointed last week by the poor showing of classmates at Sandy’s birthday party. After Sandy struggled for hours making invitations to her birthday party (cutting, coloring, and pasting were never Sandy’s strengths), only one child showed up. Ann, a 5-year-old who lives next door, was the only one who attended the party. Although initially upset, Sandy soon became absorbed in playing a new audiotape she received as a gift and totally ignored Ann for the rest of the party. When Ann finally left, Sandy seemed to have no idea as to where she went or why she might have left. REASON FOR REFERRAL Eileen had talked to Sandy’s pediatrician, hoping to gain insight into Sandy’s “odd” ways of thinking and marginal school progress. Eileen had always thought that Sandy would outgrow her awkward ways, but she was now beginning to fear that her daughter’s difficulties were more permanent. Her concerns were also escalating because of the lack of social contacts in her daughter’s life and how this might impact negatively on her social development later on. Finally, Eileen decided that “knowing” was better than “not knowing,” and she brought Sandy to the clinic with the hope that she could find some answers to her questions. ASSESSMENT RESULTS Information regarding specific assessment instruments and guidance in the interpretation of standard scores and T scores can be found in Appendix C. The psychologist administered the Wechsler Intelligence Scale for Children (WISC-V) and noted the following test behaviors. Sandy was very verbal throughout the assessment, and comments often resulted in digressions away from the target task. Sandy often had to be redirected to the task at hand. When verbal responses were required, such as on the Vocabulary and the Similarities subtests, Sandy tended to overelaborate, giving verbose responses far in excess of what was required. When nonverbal tasks were presented, Sandy used self-talk to work her way through the task. Sandy frequently requested feedback regarding her performance and seemed to become somewhat agitated when informed by the examiner that he was unable to tell her how she was doing. Sandy seemed to be somewhat comforted, however, when the examiner expressed comments of encouragement and praised her effort in general. Visual tasks were very difficult for Sandy. She was able to reproduce the initial block designs by placing the blocks on top of the designs in the model booklet, itself. However, as the designs increased in complexity and external cues were reduced, Sandy became visibly upset. She wanted to know where the lines went in the sixth design: “There are supposed to be lines to tell you where the blocks go!” She also reproduced two of the designs correctly, but in a rotated manner, not recognizing the need to match the orientation as well as the colors of the blocks. Although able to complete the initial items on the Picture Concepts task, when a third row of pictures was added, which increased the complexity and demands for abstract reasoning, Sandy began to respond in a random manner. Sandy was extremely frustrated by the M atrix Reasoning task, which requires the child to select the correct solution to complete a pattern from five possible alternatives. Responses to the WISC-V revealed a significant discrepancy between her Verbal Comprehension Index (VCI = 112; range 103– 119), which was in the high average range, and her scores on the more visually oriented tasks, such as those clustered in the Fluid Reasoning Index (FRI = 83; range 80–98), and Visual-Spatial Index (VSI = 82; range 79–95) which were in the low average range. Less than 1% of the population would have had a discrepancy of this extent between these components. Scores for the Working M emory Index (WM I = 94; range 87–102) and the Processing Speed Index (PSI = 88; range 80–98) were in the upper low average to average range. On the VCI, Sandy revealed a significant strength in Vocabulary (SS = 14), while scores on the Perceptual Reasoning Index (PRI) were very weak overall: Block Design (SS = 7), Picture Concepts (SS = 7), and M atrix Reasoning (SS = 6). Sandy’s full scale IQ was 89 (range 83–101), which placed her functioning in the upper limits of the low average range. Academically, Sandy’s scores for language arts subjects on the Wechsler Individual Achievement Test (WIAT-III) revealed average to low average scores for Reading Comprehension and Fluency (SS = 102; 55th percentile) and Written Expression (SS = 86; 18th percentile). Scores for Numerical Operations (SS = 75; 5th percentile) and M ath Problem Solving (SS = 73; 4th percentile) were significantly below what would be anticipated given her overall intellectual ability and represent a discrepancy of more than one standard deviation (e.g., greater than 15 points) between her full scale IQ of 89 and her overall score for M athematics (SS = 74; 4th percentile). M ath was at an early Grade 2 level with difficulties noted in computation, word problems, and math reasoning. Sandy demonstrated some letter and number reversals on the spelling test. Handwriting was very poor. Sandy’s response to the Bender Gestalt test revealed a visual motor perception score to be equivalent to a child of 5 years 5 months, two standard deviations below her expected age level. Sandy’s drawings were extremely immature, despite taking excessive time to complete the task (in excess of 15 minutes). Although Sandy counted and recounted dots, and often traced designs with her finger before execution, the resulting reproductions were poor due to problems with rotations, design integration, substitution of circles for dots, and tendencies to run designs into each other. When asked to “draw a person,” Sandy seemed to take forever to produce the finished product, and after many erasures, the resulting image was very immature. Somewhat embarrassed by the lack of results, and partially as an evasive tactic, Sandy eventually produced a stick figure. She compensated for her poor motor skills, however, by creating an elaborate story about what the stick figure was doing and how he came from the “land of stick people.” Parent responses to the Achenbach, Child Behavior Checklist (CBCL) revealed significant elevations on scales for Withdrawn/Depressed Symptoms, Social Problems, Thought Problems, and Attention Problems, while Conners Scale responses noted elevations for Cognitive Problems/Inattention, Anxious/Shy, and DSM Inattentive scale. Teacher responses to the Achenbach, Teacher Report Form (TRF) revealed significant concerns in areas of Social Problems, Thought Problems, and Attention, while responses to the Conners Scale revealed significant elevations on scales measuring Oppositional Behaviors, Cognitive Problems/Inattention, and Social Problems. Sandy’s responses to the Revised Child M anifest Anxiety Scales (RCM AS-2) revealed significant elevations in areas of Worry/Oversensitivity and Attention/Social Concerns. There were no significant elevations on the Child Depression Index (CDI-2). ISSUES, TRENDS, AND TREATMENT ALTERNATIVES Children who experience specific learning disorders (SLDs) differ from children with general learning problems or intellectual disabilities (IDs) in that those with ID will demonstrate generalized problems across a wide variety of adaptive areas commensurate with impaired intellectual functioning (e.g., cognitive ability, functional academics, life skills, communication, etc.), while those with SLD will experience difficulties in a specific domain (such as reading, written expression, or mathematics) despite having average intelligence. It has been estimated that between 5% and 15% of school-aged children will be diagnosed with SLD (DSM -5, APA, 2013). The most prevalent type of SLD (80%) is dyslexia, a reading disability that often includes poor spelling with deficits in areas of oral reading, reading fluency, and faulty reading comprehension. Disorders of written expression are often detected in errors of punctuation, grammar, organization, spelling, and poor handwriting. M athematics disorders are relatively rare and seen in approximately 1% of the population. M any children who experience SLD in reading and/or written expression will be significantly stronger on tasks of visual/PRI than those that measure verbal reasoning index (VCI). The criteria for identifying children with SLD differ depending on the classification system used. While the DSM -5 (APA, 2013) refers to learning disorders (reading disorder, mathematics disorder, disorders of written expression) and provides criteria for diagnosis, the educational system (IDEA, 2004) refers to SLD and provides guidelines for determining whether children meet criteria for special education services based on the extent and nature of their learning disability. An in-depth discussion of the criteria used by the different systems of classification and additional insight into current issues in the identification process can be found in Appendix B. Children who suffer from reading and spelling disorders (dyslexia) experience problems decoding words due to basic phonological processing deficits; however, they are usually able to perform adequately in math. However, children with nonverbal learning disability (NLD) experience just the opposite pattern: they are able to fluently decode words but encounter significant problems with mathematics (Rourke & Conway, 1997; Rourke, Hayman-Abello, & Collins, 2003). Although not all children with NLD will experience math problems (Pennington, 1991; Semrud-Clikeman & Hynd, 1990), based on extensive research, Rourke (2000) found that 72% of children with NLD also experience deficits in math reasoning, and in some cases, math skills may be limited to achievement levels equivalent to the fifth grade (Rourke, 1995). Rourke and Tsatsanis (2000) compare individuals with dyslexia to individuals with NLD, stating that while children with dyslexia demonstrate deficits in “psycholinguistic skills,” due to a “basic phonological processing disorder (BPPD),” they demonstrate strengths in areas of “visualspatial organizational, tactile-perceptual, psychomotor, and nonverbal problem-solving areas.” However, children who have NLD have the opposite profile: “deficits in visual-spatial organizational, tactile-perceptual, psychomotor, and nonverbal problem-solving and concept formation skills” and strengths in areas of “psycholinguistic skills such as rote verbal learning, regular phoneme-grapheme matching, amount of verbal output, and verbal classification” (p. 241). The syndrome of NLD, which has also been referred to as nonverbal learning disorder, or developmental right hemisphere syndrome (DRHS), has been described in a number of sources over the past 10–15 years (Gross-Tsur, Shalev, M anor, & Amir, 1995; Harnadek & Rourke, 1994; Palombo, 2006; Rourke, 1989; Rourke & Tsatsanis, 2000; Strang & Casey, 1994). Individuals with this syndrome experience problems in information processing and motor impairments in three broad areas: motor skills (coordination), analysis and synthesis of visual information (visuospatial integration), and social/pragmatic awareness and development. The core symptom presentation includes social problems due to interpersonal skill deficits, motor slowness, weak visual-perceptual organization, difficulties with nonverbal problem-solving, and especially weak arithmetic ability. Soft neurological signs can also be evident on the left side of the body (Gross-Tsur et al., 1995; Rourke & Tsatsanis, 2000). Often symptoms of ADHD are comorbid with the disorder. The role of visual-spatial deficits in NLD has been investigated in its influence on weaker mathematical performance as well as its contribution to potential difficulties in the area of social information processing. Results of an investigation by Garcia-Sanchez, Estevez-Gonzalez, Suarez-Romero, and Junque (1997) suggest that visuospatial deficits associated with right hemisphere dysfunction are more pronounced in those youth who had attention-deficit disorder without hyperactivity, compared to youth with ADHD hyperactive-impulsive type. However, SemrudClikeman, Walkowiak, Wilkinson, and M inne (2010) compared groups of children with ADHD, Asperger’s syndrome (AS), and NLD with respect to understanding emotional and nonverbal cues using direct and indirect measures. Results indicated that the NLD and AS groups demonstrated significantly more difficulty understanding and interpreting emotional and nonverbal cues, compared to children with ADHD or those with no disorder. Their sample of children with AS or NLD also were rated as demonstrating higher rates of symptoms related to sadness and social withdrawal compared to the other groups. Although attention skills were related to social perception, problems with attention did not predict difficulties in social perception compared with symptoms of AS. M ore recent studies have increased our understanding of the role of visuospatial processing problems in children with NLD to the extent that Cornoldi, Venneri, M arconato, M olin, and M ontinari (2003) suggest calling the disorder a visuospatial learning disability. Recently, M ammarella, Lucangeli, and Cornoldi (2010) examined the role of visuospatial working memory (VSWM) in weak mathematical performance of individuals with NLD. They compared performance on tasks of VSWM and mathematical skills in children with NLD and peers without NLD. Results revealed that children with NLD scored significantly weaker on both tasks of arithmetic and VSWM , suggesting that VSWM deficits in individuals with NLD may be instrumental in influencing math performance. These results support earlier findings by Venneri, Cornoldi, and Garuti (2003) that difficulties with math calculations may be due to deficits in VSWM . Researchers have also probed the role of weak visual-spatial ability in the social arena for individuals with NLD. In one study, Liddell and Rasmussen (2005) found that despite average ability to recall verbal information, children with NLD demonstrated significant deficits in the recall of visual information. Of special note was the very poor performance of these children on a task of immediate recall for faces, even though their scores improved on the delayed facial recall task. The researchers suggest that right hemisphere processing deficits (right temporal lobe) may contribute to the problem, while the need for additional time to consolidate information may explain the better performance on the delayed task. Rourke et al. (2002) have also addressed deficits in the right cerebral hemisphere of individuals with NLD, suggesting potential damage to white matter (myelinated fibers) evident in mild abnormalities to the right hemisphere in brain scans of those with NLD (Rourke, 1995). Recently, Galway and M etsala (2011) examined if visual-spatial problems were implicated in difficulties that children with NLD have in perception and interpretation of nonverbal social information. Following from previous research on social information processing (Crick & Dodge, 1996; Dodge, 2006; Dodge, Bates, & Pettit, 1990) and hostile attribution bias, as was anticipated, Galway and M etsala (2011) found that relative to peers without NLD, children with NLD encoded fewer social cues and were weaker at interpreting emotions based on those cues. However, probing into social information processing through perspective taking tasks, the researchers also found that when asked to comment on the child’s (story character) intention in behaving in the manner related in the scenario, children with NLD were significantly more likely to attribute a story character’s actions as being mean, compared to the norm. Galway and M etsala (2011) state that this finding is supported by previous work by Crick and Dodge (1994) and highlights the importance of integrating information regarding the child’s past experiences into the interpretation of responses to social situations, since children with NLD may be interpreting situations based on faulty judgments from past experiences. As a result, the researchers recommend interventions for children with NLD based on direct instruction in social skills learning experiences to assist children in developing more neutral or benign interpretations of the social responses of others, in order to increase recognition of more favorable responses that could be initiated by them in return. In a recent investigation of the clinical characteristics associated with NLD or DRHS, Gross-Tsur et al. (1995) found the following characteristics that were shared by children in their sample: 65% demonstrated left-sided soft neurological signs; the mean Verbal IQ was approximately 20 scale score points higher than the mean Performance IQ of 85; the lowest Verbal scale score was Arithmetic, followed by Comprehension; the lowest Performance scale score was for Coding; 94% had at least one SLD, and 67% had dyscalculia (math disability). In this particular sample, 90% demonstrated graphomotor impairment evidenced by weak performance on Coding and the Bender Visual M otor Gestalt Test, and 80% were referred for slow cognitive and motor performance. Descriptions of slow cognitive and motor output were noted in an inability to complete schoolwork, sluggish response to activity, and slowness to initiate and complete routine tasks. All children demonstrated poor social skills, often evident in inadequate or inappropriate facial expressions, eye contact, weak pragmatic language, and poor comprehension of social rules. Children with NLD display considerable difficulties in nonverbal problem-solving. According to Harnadek and Rourke (1994), deficits in concept formation and hypothesis testing result in poor ability to profit from environmental reinforcers that normally shape our behavior. These children do not readily establish a cause-and-effect relationship, which brings structure and contextual meaning to our experiences. They fare poorly in complex or novel situations and can appear scripted and inappropriate in their responses. Rourke et al. (2002) compared the syndrome of NLD to other pediatric neurological disorders and ranked the disorders from high to low on the basis of symptom overlap. They found the closest sharing of similar features was for AS (impairment in motor skills, social pragmatics, pragmatic communication, and visuospatial deficits). Individuals with Williams syndrome shared similar features of deficits in visuospatial processing and the pragmatics of communication, although obvious differences were also evident in overall cognitive ability and hypersociability for individuals with Williams syndrome. Interventions and Treatment Empirically supported interventions for NLD continue to remain a high-need area for research. Despite the lack of empirically supported programs for NLD, a number of recommendations have been suggested as clinically effective in remediating neuropsychological deficits (visual-perceptual organization, psychomotor, and concept formation skills) responsible for problems in areas of social skills, mathematical abilities, and responses to novel problem-solving situations (Rourke, 1993). Treatment suggestions involve direct instruction and guided practice. The following list summarizes some of the suggested directions for treatment (Foss, 1991; Galway & M etsala, 2011; Rourke, 1995): Teach the child in a predictable, step-by-step, rote manner. Ensure that language concepts are clarified. Enhance verbal reasoning. Encourage the application of problem-solving strategies and their transfer to new situations. Teach a problem-solving format, or template, that the child can use to structure the situation (e.g., STOP: Stop and see what is happening; Think about what I am going to do now; Observe how others are responding to me; Practice and improve). Enhance social cognition through the use of direct instruction to teach appropriate verbal social responses and how to read verbal cues. Provide many opportunities for practicing these new skills and applying them to new situations until the responses become more fluid and automatic. Teach the child to link visual information (facial expression, body posture) with auditory information—not only what is said, but how (tone, inflection) it is said. Teach visual-organizational skills. Teach comprehension directly. Enhance self-esteem and feelings of self-efficacy. As is evident in these guidelines, direct instruction is crucial to assisting children with NLD to make connections that they may miss due to subtleties in the language, interpreting information literally, or not attending to nonverbal communication (facial expressions and body language). Since children and youth with NLD often take things literally, one of the major difficulties with problem-solving is generalizing from one situation to another or interpreting statements in a more generic manner (M arti, 2004). As a result, directions need to be as specific as possible, for example, the statement “I want you to clean up your room” could lead to an array of probable uncertainties (Does cleaning mean washing my room? How do I do that? What part of the room do I clean? How long do I have to do that for? When do I know I am done? and so on) that could be circumvented through proper elaboration. Despite increasing awareness of NLD, Thompson (1997) suggests that many school districts have not recognized NLD because the syndrome does not conform to the more traditional concept of a language-based learning disability. In these cases, students may not receive appropriate CAM S (compensations, accommodations, modifications, and strategies). Furthermore, if students with NLD fall into the minority of those with the disability that do not have significant problems in math, they will likely not qualify for special education assistance, despite encountering many problems in the regular classroom (Semrud-Clikeman & Glass, 2008). The dangers and risks of not detecting or providing early intervention can be found in retrospective studies of adults with NLD. These retrospective studies (Ellison & Semrud-Clikeman, 2007; Rourke, Young, & Leenaars, 1989; Rourke, Young, Strang, & Russell, 1986) suggest that undetected children with NLD demonstrate a greater degree of developing internalizing disorders, such as depression; are at greater risk for suicidal behaviors; and report a greater incidence of loneliness and social isolation as adults. Palombo (2006) suggests a wide variety of therapeutic approaches that might be applied to strengthen functioning in two important areas: enhanced self-efficacy and increased awareness of the nature of their problems and how to navigate stressful and challenging situations, academically and socially. In a case study investigation, Brodeur (2006) demonstrated that direct instruction techniques were highly beneficial for a 15-year-old female with NLD who participated in a class to increase awareness of social pragmatics. After attending the classes, the student demonstrated significant gains on all measures of adaptive, social, and leadership skills (self-ratings, teacher ratings, and parent ratings). Recommendations for future research included a focus on forming and maintaining friendships for older students and instruction focusing on maintaining eye contact and turn taking for younger children with NLD. Post-Case Questions 1. Children who demonstrate a NLD may pose a particular problem for diagnosis and intervention since their symptoms do not conform to the traditional concept of a language-based learning disability. Discuss some of the difficulties of diagnosis of NLD with respect to how learning disabilities are defined by (a) the DSM -5 (APA, 2013), (b) Education (IDEA, 2004), and (c) National Joint Committee on Learning Disabilities (NJCLD; see Appendix B). 2. Discuss the similarities and differences between an NLD and a variant of higher functioning autism spectrum disorder (Dylan’s case) or Williams syndrome (Williams’ case). 3. Discuss case formulations from the following theoretical frameworks: biomedical, psychodynamic, behavioral, cognitive, family systems, and attachment/parenting style. How would these different theoretical frameworks influence the development of intervention strategies? 4. Social skills are often an area of weakness for children with NLD. Using a social information processing model, develop a case formulation for Sandy’s social skills deficits and explain how you would target specific areas for treatment. 5. Compare and contrast differences between strengths and weaknesses in the two cases of SLDs that have been discussed so far, e.g., Thomas (who has dyslexia) and Sandy (who has a NLD). In your discussion, be sure to include information on the different parts of the brain that are influenced by each of these disorders, especially left versus right hemisphere dysfunction. 6. Suggested individual or group presentation activity: You have been invited to provide feedback to the school regarding Sandy’s assessment, at a meeting where they will decide whether Sandy meets criteria for Special Education and Related Services. If it is determined that she is eligible for services, what Goals and Objectives would you want to see as part of her IEP? Would you recommend she receives related services, and if so, what would the nature of those services be? 7. Prepare a script for role-playing each of the player’s parts in the school meeting mentioned above. Who do you think should be attending the meeting? How could each participant potentially contribute information to assist with developing an intervention plan that would best meet Sandy’s needs? REFERENCES American Psychiatric Association (APA). (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Arlington, VA: Author. Brodeur, C. (2006). Building social competence in children with nonverbal learning disabilities: A preliminary study. Dissertation Abstracts International: B. The Sciences and Engineering, 67, 531. Cornoldi, C., Venneri, A., M arconato, R., M olin, A., & M ontinari, C. (2003). A rapid screening measure for the identification of visuospatial learning disability in schools. Journal of Learning Disabilities, 36, 299–306. Crick, N. R., & Dodge, K. 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PART B AUTISM SPECTRUM DISORDERS (ASD) AND INTELLECTUAL DISABILITIES Case 7: Dylan Bach: The World According to Dylan Case 8: Arthur Watson: Won’t or Can’t: A Case of M istaken Identity Case 9: Brian Williams: M y Name Is Williams, Too Case 10: Bradley Hunter: Not Yet Diagnosed CASE 7 DYLAN BACH : THE WORLD ACCORDING TO DYLAN MILD VARIANT OF ASD Dylan’s behavior was discussed at a school intervention meeting shortly after Dylan enrolled in the kindergarten program at Cyprus Springs Elementary School. His teacher was concerned because Dylan displayed very “odd” behaviors and despite being very verbal seemed to be in “his own world.” Dylan’s speech was indistinct, and although he seemed to chatter a lot, it was very difficult to comprehend what he was saying. Often he would talk to himself, in a singsong refrain, reciting entire monologues. Dylan was a spontaneous reader, and he would take great pleasure in reading everything from book titles to footnotes. He could also spell his name. However, Dylan preferred solitary activities and it was very difficult to engage Dylan in the normal classroom routines and group activities. Dylan could be very resistant. Not only did the teachers have problems engaging Dylan in regular classroom activities, it was equally difficult trying to disengage Dylan from an activity that he was involved in. When asked to participate in activities not to his liking, Dylan had thrown a number of temper tantrums. On these occasions, he would scream a very loud and persistent “No!!!!” Dylan was awkward and poorly coordinated and often seemed to walk into things. Dylan seemed to be in constant motion and was very fidgety. During quiet times, like story or circle time, Dylan’s constant motion (rocking, squirming, fidgeting) was often disturbing to the other children. This, coupled with Dylan’s poor coordination, would often result in his falling into other children or tripping over things in the classroom. DEVELOPMENTAL HISTORY/FAMILY BACKGROUND The school social worker met with Dylan’s mother, Celeste Bach, to discuss the school’s concerns and to obtain a social history. Celeste and her husband Arnold were both 23 years old when Dylan was born. They had been married for 2 years. The Bachs owned an art studio and made their living through the sale of their own creative art pieces. Celeste was an oil painter and Arnold was a sculptor. They supplemented their income from the sale of their artwork by giving art lessons and selling art supplies. Celeste described a difficult and unpleasant pregnancy. She was nauseated through most of the pregnancy and also developed toxemia midway through the pregnancy. Dylan was born 2 weeks ahead of schedule after a very long labor (40 hours) and weighed almost 9 pounds (8 lbs. 10 oz.). The delivery was uneventful. Celeste described Dylan as cheerful, affectionate, and sociable during his first year. He had a good appetite but was difficult to put on a schedule. He experienced many colicky bouts, and sleep was often disrupted. When he woke, it was difficult to get him back to sleep. M ilestones were achieved within the norm, and Dylan was walking and saying his first words by 1 year of age. M rs. Bach admitted to difficulties with toilet training, and at almost 5 years of age, Dylan continued to exhibit occasional bed-wetting incidents. Accidental soiling stopped about a year ago. Health was described as good, with the exception of vulnerability to ear infections and food allergies (dairy products). Dylan is rarely ill; however, when he does get ill, he tends to develop a fever and requires monitoring. Family history notes a paternal uncle with cerebral palsy and mental retardation. There is a history of bipolar disorder with obsessive compulsive disorder in the family (maternal grandmother), as well as anxiety (paternal aunt). Celeste stated that Dylan’s pediatrician felt that Dylan might be autistic; however, no further assessment was conducted. She added that Dylan can be stubborn at home, but that he will comply when necessary. Dylan gets along well with their adult neighbors, who have all been very impressed with Dylan’s reading and writing abilities. Celeste added that they currently live in an area that has no children Dylan’s age and that he has had very little practice socializing with peers. Toward the end of the kindergarten program (Dylan was 5 years 6 months of age), a brief assessment was conducted by the school psychologist to obtain information regarding Dylan’s cognitive functioning. The Differential Ability Scales (DAS) were administered and revealed a Verbal Cluster standard score of 56 and a Nonverbal Cluster score of 86. The school psychologist noted that rapport was very difficult to establish and cautioned interpretation of the assessment results due to Dylan’s immaturity, lack of compliance, low frustration tolerance, and insistence on doing things his own way. The school convened a staffing meeting to determine eligibility for special education programming and decided on the following course of action. Due to difficulties establishing whether the results of the assessment were valid, based on Dylan’s test behavior, Dylan was given a temporary designation as Developmentally Delayed, which would lapse on his sixth birthday, the age established by the Local Educational Authority (LEA) for discontinuation of services under the category of Developmental Delay. (See Appendix B for an explanation of the classification of developmental delay under IDEA, 2004; and the DSM -5 Category of Global Developmental Delay.) The decision allowed for an additional 6-month period in which a more valid and in-depth evaluation of Dylan’s ability levels could be conducted. Dylan would be provided with services from occupational therapy, speech and language therapy, and the special programs teacher, while awaiting his reevaluation. Unfortunately, Dylan’s parents moved over the summer holidays, and Dylan began attending Lawton Elementary School for the next academic year. M eetings were convened prior to the start of school to determine how to best accommodate Dylan’s special needs within the new school environment. At this time, the decision was made to have Dylan attend the kindergarten program for a half-day and receive specialized services in a class for children with varying exceptionalities (VE Program) for the remainder of the day. Speech therapy was provided on a daily basis by the school speech pathologist, and occupational therapy was programmed for on a once-weekly visit. Dylan had always experienced problems with adjusting to new routines, and it was not surprising that the move to a new school was very difficult for Dylan. The first struggle began when he did not want to get on the bus and threw himself on the ground kicking and screaming. However, his parents were persistent and eventually his resistance mellowed. After about 3 weeks, Dylan began to settle into his new routines. Recently, he has begun to reexperience difficulties, and resistance to riding on the school bus has resurfaced. Just prior to his formal reassessment, Dylan was observed throwing himself to the ground and refusing to get on the school bus. School officials were currently investigating potential reasons for the resurgence of Dylan’s refusals to board the school bus. REASON FOR REFERRAL A referral for reevaluation was initiated by Dylan’s new school to remove his temporary designation as developmentally delayed. A full assessment was requested to update intellectual estimates of Dylan’s abilities and to determine how to best meet Dylan’s academic, social, and emotional needs within the current school system. ASSESSMENT Knowing the difficulties that the previous school psychologist had encountered in attempting to conduct a comprehensive assessment, the school psychologist took several precautions to obtain a valid assessment of Dylan’s functioning on several levels. Several observations of Dylan’s behaviors were obtained by classroom observations of Dylan’s behaviors in different classroom environments, and more formal psychometric tasks were administered in environments that were within Dylan’s comfort zone and within his tolerance for removal from normal classroom routines. Classroom Observations The school psychologist began a series of observations of Dylan in the two classroom settings. Observation of Dylan in the kindergarten program revealed a number of interesting behaviors. On one occasion, Dylan was observed while his teacher read a story to the class. The children were sitting on the floor, gathered around the teacher’s chair. Although Dylan seemed attentive initially, he soon began a series of excessive movements (fidgeting, rocking, sprawling on the floor, hanging upside down) that were distracting to the other children. He spontaneously got up and walked to the back of the classroom in search of paper and crayons. For the next 15 minutes, the teacher would make comments to redirect Dylan back to the circle and Dylan would comply momentarily and then get up and return to the back of the classroom. At one point he was very insistent on leaving the circle, saying, “I want to do my work!” The teacher responded by saying, “You will sit and listen to the story!” Dylan responded, “I won’t sit and listen to the story!” At this point, the teacher reminded him of good and bad choices and the consequence of losing a star for bad choices. If he did not do as he was told, he would lose a “star.” (The star chart was a classroom behavior merit program. Children earned stars for good behavior and lost stars for poor behavior. Stars could be traded in for activities and small prizes at the end of the day.) Dylan immediately complied and remained on the floor. However, his constant motion eventually resulted in his kicking another child (by accident), resulting in the child breaking into tears. Dylan seemed oblivious to his role in the event and clearly did not understand the teacher’s request to apologize to the other child for the infraction. Within the kindergarten program, the teacher’s goals and expectations for Dylan were the same as for all children in her classroom. Within this environment, Dylan struggled with the lack of flexibility and did not understand the need to be involved in activities that held little interest for him. For Dylan, the VE Program had several advantages: fewer children, older children (7–9 years of age), and a teacher trained in special education. In this environment, Dylan seemed to enjoy the freedom of being allowed to work on a task at his own pace. Dylan worked very quickly and seemed to thoroughly enjoy coloring in pictures, drawing animated cartoons, and writing captions beside the drawings. He was highly productive and was not distracted by the grouped activities that were going on around him. Since the children were of varying levels of ability (slow learners, learning disabled), the children were often grouped for instructional purposes. Due to Dylan’s uniqueness, his teacher provided instruction on a 1:1 basis and then provided opportunities for independent learning (computer access) or individual seatwork. While he worked, Dylan was observed to be singing to himself, mimicking lyrics from various audio computer programs (e.g., “Rock and Roll,” “ABC’s”). Dylan often repeated refrains over and over in a singsong fashion while he worked. Although reluctant to disengage from a task when requested to do so, he did comply and brought his work to the teacher for her remarks. He followed routines relatively well and enjoyed his times when called on to read to the teacher, which he did flawlessly. He was rewarded for following routines and completing seatwork with individual computer time. During individual computer time, Dylan quickly became totally absorbed in the computer programs, repeating the monologue as if he were narrating the program himself. Comments on classroom observations: The school psychologist noted that many behaviors demonstrated by Dylan fit descriptions in the literature on autism spectrum disorders (ASDs), especially the higher functioning variation of this disorder, including idiosyncratic areas of interest, odd and peculiar behaviors, intense interest in specific areas, poor coordination, and lack of social reciprocity. Having the opportunity to watch Dylan’s behavior in the two different classroom settings provided considerable insight. While Dylan constantly resisted attempts to engage him in grouporiented activities in the regular kindergarten program, he welcomed an opportunity provided by the special education setting to work within the confines of his own little world, without attempts to draw him into any group activities. Individual Assessment Sessions In addition to observational assessments, Dylan was seen for three individual assessment sessions. The psychologist decided to conduct Dylan’s assessment in a small resource room off the VE classroom. Dylan was familiar with the room because he received his language and occupational therapy in the same room; also, he could readily see his teacher through the glass windows. By this time, Dylan was also familiar with the school psychologist and willingly accompanied her into the room. Since Dylan seemed to enjoy artwork, as an introductory task, Dylan was asked to draw a person. Dylan responded by saying that he would draw a pig, which he did. The pig had a big sign on its neck: “Babe.” Apparently, Dylan had been watching the movie Babe (a story about a pig) over and over and was very interested in pigs at this time. He did comply with a request to copy Bender Designs and completed the Bender design drawings in a short period of time. Dylan used a whole-hand pencil grip for all drawing and printing. Throughout the assessment sessions, Dylan’s enthusiasm waxed and waned, and his compliance shifted relative to his interest in the task at hand. Dylan was very excited about doing the Picture Concepts subtest of the WISC-V (a supplementary test that was included due to the suspected level of interest that the task would have for Dylan). He loved to find out “What goes together?” and repeated the phrase “What goes together!” over and over again. He wanted to draw an arrow connecting the pictures that went together in the stimulus book, and the examiner had to confiscate writing materials to ensure this did not happen. Dylan’s enthusiasm for visual materials far outweighed his interest in responding to verbal questions, and assessment results reflect this disparity. Despite a predominance of fidgety and tense behaviors, Dylan became very focused, deliberate, and methodical working with block designs. He carefully moved each block with precision, checking and rechecking with the stimulus card to ensure accuracy. Dylan also made humorous comments, and when the 11th block design was revealed, he said, “Scary!” and laughed. Then he added, “You will have to help me on this one.” Throughout the assessment, when one subtest was completed, Dylan repeatedly asked if he could play “What goes together” game again. Eventually, the examiner had to remove the stimulus book from the room, since Dylan kept trying to find it, to play the find the “What goes together” pictures game. Williams (1995) discusses the impact of sensory overload on children with Asperger’s disorder (a type of pervasive developmental disorder (PDD) that was recognized by the DSM-IVTR (APA, 2000), prior to the DSM -5 (APA, 2013) which excluded Asperger’s disorders as a specific diagnosis, and clustering it among the other ASDs). According to Williams, these children can be overwhelmed by very little change and sensory overload can throw these children off balance. During the course of this first session, Dylan fell off his chair three times. A combination of poor coordination and becoming overly stimulated served to throw him off balance, literally and figuratively. Currently, the DSM -5 includes the symptom of “hyper/hyporeactivity to sensory input” as one of the possible symptoms of restricted/repetitive response patterns evident in ASD. When the examiner arrived in the classroom for the second session, Dylan jumped up from his seat (almost falling into the desk) and greeted her with an enthusiastic and announced, “You’re back! You’re back!” He spontaneously took her hand and led her to the assessment room. The Woodcock Johnson Test of Achievement was introduced and Dylan completed the Letter Word Identification subtest with ease. The Passage Comprehension subtest was next, and it was anticipated that this would be another area of high interest for Dylan. However, what transpired was not expected. The Passage Comprehension subtest requires that the students read a passage and then orally fill in the blank to complete the sentence in the stimulus book. For example, a statement that “Children often like to play on swings in the park” is followed by a statement to test comprehension, such as: “Children like to play on ____ in the park.” When this task was introduced, Dylan was insistent on filling in the blanks by writing the answer in the stimulus book. Although the school psychologist made several attempts to explain why Dylan could not write in the book, it was not possible to console him. He became visibly upset and started to shake, was on the verge of tears, and repeatedly stated, “You must fill in the blank with the missing word!… You must fill in the blank with the missing word!” Dylan was extremely distraught. At this point, the examiner removed the book from the room and brought in sheets of paper and crayons, allowing Dylan to draw and color his favorite cartoons. Drawing seemed to be an activity that served to soothe Dylan in times of stress; this discovery could play an important role in the development of a treatment plan. After Dylan calmed down, the examiner accompanied Dylan to the kindergarten room, where he was supposed to go after lunch. However, when they arrived, the other students had already left for physical education (PE) and the examiner began to walk Dylan over to the playground to join his class. Given Dylan’s poor coordination and reluctance to engage in group activities, it is not surprising that PE is his least favorite subject. He became very upset about going to PE and began clinging to the examiner’s arm, refusing to let go. The examiner talked to him about all the good choices he had made that day and added that he might earn a star for joining his class, because this was a very good choice indeed. Reluctantly, he separated and joined his class in session. The psychologist then talked to his teacher to ensure that he did receive a star for compliance to provide support for his difficult choice. In order to complete the academic assessment the following day, the examiner photocopied the Passage Comprehension and Applied Problems subtests of the Woodcock Johnson. The plan was to provide Dylan with worksheets that would allow him to fill in the blanks on the actual pages rather than respond orally. Although this technique was not part of the standardized procedure, the psychologist wanted to avoid unduly upsetting Dylan, who was “locked into” a “filling in the blanks” mode of operation. The psychologist considered the deviation in protocol a minimal concession, and it avoided the risk of another emotional upset for Dylan. In addition, the task actually became more difficult, since Dylan now had to spell the words to complete the sentences, rather than just provide the answers orally. When presented with the sheets, Dylan proceeded to fill in a large number of blanks correctly and also spelled the words appropriately. He was rewarded by being allowed to color in the pictures and then draw another series of cartoon animals. As he was drawing, Dylan recited, verbatim, an entire dialogue from a computer program that he had previously heard: “This CD program is a Random House Production. As a special bonus feature, be sure to try our newsletter and programs for kids. . . . Each issue is packed with behind-thescenes action and fun-filled games for kids. Your first issue is free. . . . To obtain your free issue send the enclosed postcard to Random House Productions, P.O. Box 1478, Chicago, Illinois, Postal Code 68374. So don’t miss an issue. Send your postcard in today!” Dylan’s drawings were quite remarkable and very well done. He titled his drawing of animated characters as the “Walkabe Rabbit Collection.” Dylan also drew another picture, this time of the Windows 2000 logo, complete with copyright. Ultimately, Dylan completed the academic assessment, although it required considerable redirection to task. Dylan fell out of his chair again during this assessment session. Dylan was able to engage with the examiner socially, albeit within a restricted range. Although eye contact was established, at times he would actually open his eyes wide with a penetrating stare, but at other times visual distance and lack of eye contact was far more comforting. Dylan displayed a sense of humor and could be very engaging; however, laughter would often escalate quickly out of control. Dylan preferred to engage the examiner on his own terms and could become totally absorbed in paper-and-pencil tasks or verbal monologues that effectively excluded social contact. Dylan was able to request help when needed for a cognitive problemsolving task (puzzles, blocks); however, he experienced difficulty eliciting assistance when emotionally upset, due to a very high level of anxiety and distress. On these occasions, Dylan seemed to respond either by clinging or by attempting to escape (tantrums). ASSESSMENT RESULTS Information regarding specific assessment instruments and guidance in the interpretation of standard scores and T scores can be found in Appendix C. Dylan’s responses to the Wechsler Intelligence Scale for Children —Fifth Edition (WISC-V) revealed a Verbal Comprehension Index (VCI = 92; range 86–99) in the average range. Scores for the Visual Spatial Index (VSI = 117; range 108–123) and the Fluid Reasoning Index (FRI = 115; range 106–122) which rely on visual tasks and visual information processing were in the high average range. Both scores were considered to be an underestimate of global cognitive reasoning, yet likely an adequate picture of day-today functioning. Verbal tasks were responded to poorly, and despite an excellent base vocabulary, Dylan’s responses to verbal tasks were lower than anticipated, but in the predicted direction for higher functioning ASD (HFASD). A relative strength was noted in Vocabulary (12), while weaknesses were noted in Comprehension (4) and Similarities (5). On tasks measuring VSI, a significant strength was evident on Block Design (16), while on the VSI and Picture Concepts (14) was also an area of strength. Dylan’s WISCV profile of superior visual to verbal ability was not in the predicted direction (Klin, Sparrow, Volkmar, Cicchetti, & Rourke, 1995); however, Dylan was also more compliant on visual tasks, which may have served to alter overall scores. Despite this fact, subtest scatter actually did conform to suggested patterns in the literature on Asperger’s disorder: Vocabulary much higher than Comprehension (Klin, Volkmar, Sparrow, Cicchetti, & Rourke, 1995). Dylan received an error score of 9 for his reproductions of Bender Designs, which was within the expected range for his age. His substitution of lines for dots in designs 2, 3, and 5 is often associated with brain dysfunction. Standard scores for academic performance on the Woodcock Johnson Achievement Test revealed a score for Broad Reading equivalent to a standard score of 150, which is in the highly gifted range. The Broad Reading score is a composite based on performance from three reading tasks: Letter Word Identification (SS = 135), Reading Fluency (SS = 119), and Passage Comprehension (SS = 128). Scores for written expression revealed Spelling (SS = 148) and Writing Samples (SS = 140) to also be within the gifted range. Scores for M ath Calculation (SS = 94) and Applied Problems (SS = 84) were Dylan’s weakest areas of performance. Dylan’s mother completed the Vineland Adaptive Behavior Scale, the Gilliam Autism Rating Scale (GARS), and the Asperger Syndrome Diagnostic Scale (ASDS). M rs. Bach’s ratings placed Dylan within the normal range of behaviors on the GARS (SS = 87), which would suggest below average indicators for autism. Ratings on the ASDS indicated an overall Asperger’s Syndrome Quotient of 105, suggesting that Dylan met criteria for a likely diagnosis of Asperger’s disorder. A significant elevation was noted for the Social Behavior scale on the ASDS. According to Dylan’s mother, overall adaptive behavior on the Vineland was within the expected range for his age level. Dylan’s teachers also completed the GARS and the ASDS. Since Dylan was observed to behave very differently in the two classroom settings, it was not surprising that the kindergarten teacher and the special programs teacher (VE teacher) rated Dylan’s behaviors quite differently. On the GARS, the kindergarten teacher rated Dylan as having an average probability of autism (SS = 91), with only Communication slightly elevated. The VE teacher rated Dylan much higher on the Autism scale (SS = 126), suggesting a “high” probability of autism with significant elevations on the Communication scale (scale score = 14) and Social Interaction scale (SS = 19). Teachers reported better agreement on the ASDS, with his kindergarten teacher suggesting a likely (SS = 97) probability of Asperger’s syndrome and his VE teacher ratings indicating a very likely (SS = 111) probability of Asperger’s syndrome. According to the ASDS, the kindergarten teacher noted significant escalation on the Cognitive scale (SS = 13), while the VE teacher noted significant elevations on the Social (SS = 13) and Sensorimotor scales (SS = 13). ISSUES, TRENDS, AND TREATMENT ALTERNATIVES Prior to the fourth edition of the DSM-IV (APA, 1994), Asperger’s disorder was not a recognized Axis I disorder. The DSM-IV listed Asperger’s disorder as one of the five disorders under the category of Pervasive Developmental Disorders (PDDs), which were characterized by severe and lifelong impairments in a number of areas. Currently, the DSM -5 (APA, 2013) has replaced the category of PDD with a new category of autism spectrum disorder (ASD) to include disorders which share two common features: pervasive and consistent deficits in social communication and interaction (evident in three areas) and restricted, repetitive patterns of behavior, interests, or activities (in two areas). The DSM -5 states that children previously diagnosed with Asperger’s disorder, autistic disorder, or PDD should now be reclassified as meeting criteria for ASD. Based on the symptom criteria, Dylan meets criteria for ASD based on social communication and interaction deficits in the three areas of social-emotional reciprocity, verbal and nonverbal communication, and social relatedness; and restrictive, repetitive behavior patterns, evident in insistence on sameness (inflexibility), restricted/fixated interests, and hyperactive response to sensory input. In Dylan’s case, the specifier “without accompanying intellectual impairment” would be identified due to his elevated scores evident in the intelligence testing. Some children with ASD can become preoccupied with numbers or letters and demonstrate an ability to decode almost anything (hyperlexic) at a very early age. Some higher functioning children are able to form attachments to family members; however, their ability to relate to others is often not evident outside the family circle, and the skills do not transfer to peers. Attempts to carry on a meaningful reciprocal conversation with children who have HFASD are often derailed by their tendencies to produce pedantic monologues on topics of interest to them and their lack of understanding of the give and take necessary in areas of social pragmatics (Attwood, 1998). The ability to form and maintain social relationships and friendships is often at the core of normal emotional development and can provide children with feelings of belongingness, emotional security, and self-worth (Rubin et al., 2004). In normally developing adolescents, friendships provide the basis for gaining increased social cognitive awareness through disclosures evident in intimate relationships, such as sharing information with close friends (Allen, Porter, M cFarland, M arsh, & M cElhaney, 2005). Although it was once thought that children with HFASD preferred to be alone, more recent investigations have found that although adolescents with the disorder demonstrate less participation in social activities (Orsmond, Krauss, & Seltzer, 2004), lack of social relationships may not be related to lack of desire, but to difficulties they encounter with social understanding due to such deficits as theory of mind (Kaland et al., 2002). As a result, higher functioning adolescents with ASD disorder can become very lonely and isolated at a time when they want to join peer groups (Klin & Volkmar, 1997; Whitehouse, Durkin, Jaquet, & Ziatas, 2009) and may be at increased risk for depression and anxiety disorders, relative to the population at large (Sofronoff, Attwood, & Hinton, 2005). Whitehouse et al. (2009) investigated the relationship between depression and quality of friendship in youth with HFASD and found that relative to their peers, youth with HFASD demonstrated less intrinsic motivation to engage in friendships and experienced poorer quality of friendships and elevated levels of loneliness and depression. The researchers suggest that intervention to improve social competence in adolescents with HFASD (possibly through the use of story modeling techniques; Carrington, Papinczak, & Templeton, 2003) might have significant implications for enhanced mental health. Higher Functioning ASD HFASD is an informal subcategory of ASD and applies to approximately 25% of children with ASD who score above the mentally retarded range (who have an IQ greater than 70). Individuals with HFASD may be far more likely to attempt conversations with others than those with lower functioning ASD (LFASD); these conversations are usually one-sided in nature. Ghaziuddin (2008) suggests that in social interactions, individuals with HFASD may tend to be more aloof and passive or may appear more active, but odd. Individuals with HFASD score higher on IQ tests than those with LFASD, either due to strengths in areas of perceptual reasoning or better verbal skills (Ehlers et al., 1997). Sahyoun, Soulieres, Belliveau, M ottron, and M ody (2009) found that while some individuals with HFASD used visuospatial processing during a pictorial reasoning task, others with HFASD used linguistic mediation to solve the same tasks. HFASD and Nonverbal Learning Disabilities The distinction between children with HFASD and children with nonverbal learning disability (NLD) (see Case of Sandy for a comparison) can be a difficult differential diagnosis since both share similar features of a social disability due to poor understanding of the pragmatics of social communication, inability to read social cues, and poor understanding of nonverbal social indicators. Klin, Sparrow, Volkmar, Cicchetti, and Rourke (1995) suggest that it is most likely that these disorders represent different perspectives on a heterogeneous set of disorders that share some overlapping features. Rourke et al. (2002) found that youth with HFASD and youth with NLD shared strengths in processing left hemisphere functions (e.g., verbal ability) and deficits in right hemisphere processing (weaknesses in social interaction, complex reasoning, and nonverbal communication). Although they note that little research has been published regarding interventions for HFASD, Klin et al. (1995) suggest that interventions developed to address NLDs might also be helpful for this population. Communication and Social Pragmatic Speech Woodbury-Smith, Klin, and Volkmar (2002) suggest it is important to recognize that individuals with HFASD process deficits in social information and communication that are demonstrated in a different way from those with LFASD. Although both disorders share impairments in social relationships, the social disability is unique to each disorder with their own unique patterns of behaviors and communication deficits. Individuals with HFASD do have communication abnormalities (pragmatic communication impairments) that “interfere with the ability to initiate and sustain a conversation,” even though deficits are “fundamentally different from the type of language and communication impairments described in autism in which the language is delayed, echolalic, idiosyncratic, and repetitive” (p. 238). A new addition to the DSM -5 (2012) is the category of social (pragmatic) communication disorder (SCD) which is clustered among the section on Language Disorders in the chapter on neurodevelopmental disorders. Children with SCD have difficulties in verbal and nonverbal skills related to social communication in areas such as responding to others appropriately; staying on topic; talking about emotions or feelings; engaging in two-way communication (reciprocity); taking turns when talking or playing; using gestures; interpretation of nonverbal information (body language, facial expressions); understanding the subtle nuances of language (e.g., jokes, idioms); and regulating speech to fit the context (location, e.g., classroom, playground; recipient, e.g., teacher, friend). The DSM -5 (APA, 2013) states that a differential diagnosis between ASD and SCD is made based on the degree to which an individual also demonstrates the additional criterion for ASD of engaging in restricted and/or repetitive behaviors. Individuals with SCD are most likely to receive therapy from speech-language pathologists. Treatment/Intervention Far more research evidence is available for the treatment of individuals with more severe forms of autism than for those with HFASD. Given the wide variations in intellectual functioning between these two populations, severity of problems exhibited, and the range of areas targeted for improvement, it becomes difficult to generalize results from these studies of LFASD to a population of HFASD. Since the typical age for diagnosis of HFASD can be delayed compared to the identification of LFASD (Howlin & Asgharian, 1999), early treatment and intervention can be challenging. Approaches most often used for children with LFASD include applied behavioral analysis and approaches that draw on a variety of behavioral, developmental, and social pragmatic resources (Tsatsanis, Foley, & Donehower, 2004). For the most part, treatment has focused on increasing social and emotional awareness and improving social exchange. Techniques that have been developed to assist social competence include direct instruction in role-playing, social skills groups, practicing of skills with peers, and the use of social stories. Social stories can provide a framework for teaching lessons about appropriate social behavior, the sequencing of social events, and the interpretation of social cues. Scripts can provide a template for social exchange and increase the child’s understanding of what is likely to happen and how to respond. Since the story can include different characters, the child with HFASD can also learn how to take the perspective of another person, a skill that is often difficult for individuals with HFASD (Attwood, 2000). Sansosti and PowellSmith (2006) introduced children with HFASD to emotions within themselves and others through the use of social stories. Despite a small sample and lack of long-term effects, the procedure is a promising avenue for further investigation, especially if stories are infused with highly visual supports (Kana, Keller, Cherkassky, M inshew, & Just, 2006). Results from neurological research have revealed that when children with ASD are presented with tasks that involve decoding facial expressions and vocal tone, their brains are activated in areas used to identify objects in normal populations (Schultz et al., 2000). Lindner and Rosen (2006) suggest that children with HFASD focus too heavily on the verbal message and ignore relevant signals in facial cues and tone. LaCava, Golan, Baron-Cohen, and M yles (2007) used a computer-generated program to teach children with HFASD to recognize emotional expressions and complex emotional voice patterns. M arriage, Gordon, and Brand (1995) developed a social skills intervention program for children with HFASD, targeting skill deficiencies peculiar to that population. The program of eight weekly 2-hour sessions was followed by six weekly 1-hour reinforcement sessions. M ultimodal techniques (role-play, videotaping, games, show and tell) were practiced during the sessions, and homework was assigned to provide carryover into the home. To assist skill generalization, sessions were varied across a number of different settings within the clinic. Parents met for an informal discussion group while the children attended the sessions. Although results did not reveal significant positive outcomes, the authors suggest that lack of positive outcomes may have been an artifact of the measurement process, since anecdotal comments and observation pointed to overall social gains. The authors’ recommended future studies include increased generalization of the program within an actual school setting. M ore recently, Lopata et al. (2010) conducted a rigorous research program to evaluate a manualized social treatment for HFASDs which involved randomized clinical trials (RCTs). Based on findings from previous research regarding treatment to improve social functioning in individuals with HFASD (Klin, Sparrow, M arans, Carter, & Volkmar, 2000; Klin & Volkmar, 2000; Rao, Beidel, & M urray, 2008; White, Keonig, & Scahill, 2007), the program targeted the following areas: development of social skills, interest expansion, facial emotion recognition, and interpretation of nonliteral language. After screening and meeting criteria (diagnosis of HFASD, intellectual functioning, etc.), 18 subjects participated in the first six-week program consisting of 4 treatment cycles per day, while the remaining 18 functioned as the wait list control prior to their involvement in the second run of the program. Each day, children met in groups of 6 (divided into three age groups: ages 7– 8, 9–10, and 11–12 years) and were instructed by three staff who spent 20 minutes involved in intensive instruction followed by a 50minute session involving therapeutic activity as recommended by previous research (Klin & Volkmar, 2000; White et al., 2007) in areas of repeated practice, modeling, and role-playing, providing high rates of feedback on performance and using behavioral techniques. Parents attended weekly 90-minute sessions to expand their knowledge of HFASD and appropriate parenting practices. Significant treatment effects were found for direct child measures assessing social skills knowledge and understanding idioms on post treatment measures. On a more practical note, Williams (1995) suggests several guidelines for teachers of students with HFASD. A number of school-based programming suggestions are provided that target seven defining characteristics of HFASD: insistence on sameness, impairment in social interaction, restricted range of interests, poor concentration, poor motor coordination, academic difficulties, and emotional vulnerability. Describing children with HFASD as “easily stressed and emotionally vulnerable” (p. 9), Williams states that although there are no precise recipes for success due to the diverse nature of the disorder, broad strategies can be adapted to meet the needs of the individual child. For example, insistence on sameness can be counteracted by giving the student sufficient warning or pretraining regarding pending changes, incorporating consistent routines, minimizing transitions, and providing a safe and predictable environment. Issues of emotional vulnerability can be addressed by skill-building exercises to reduce stressful responding. The introduction of step-by-step problem-solving exercises can be very helpful in providing a structured plan to adopt in times of stress. Post-Case Questions 1. Initially, Dylan was diagnosed with developmental delay because testing was inconclusive due to his noncompliance during the testing session. Discuss how “developmental delay” is recognized by the DSM -5 and IDEA, 2004. What are the similarities and what are the differences? The category is controversial because some favor delaying a diagnosis to avoid a misdiagnosis, while others feel that the delay only delays the inevitable any may result in fewer immediate services. What side of this debate would you support and why (provide support for your comments from the research and documents)? 2. In terms of differential diagnosis, how do Dylan’s behaviors fit with a profile of HFASD relative to that of LFASD or nonverbal learning disability? Use illustrations from Sandy’s case (Case of Sandy Smith) and Dylan’s case presentation to compare and contrast the most salient features. 3. Provide some possible explanations for the wide discrepancies in ratings between the three raters (two teachers and parent). Discuss these potential differences relative to various levels of influence, or developmental contexts, suggested by Bronfenbrenner’s model. Design an intervention program drawing on the strengths of both classroom programs. 4. With the newly introduced category of social (pragmatic) communication disorder (SCD) and changes in the DSM -5 that now allow comorbid diagnoses of attention deficit/hyperactivity disorder (ADHD) and ASD, develop a differential diagnosis for Dylan that considers ruling out or ruling in ASD, SCD, and ADHD. Support your comments with citations from the case and the DSM -5. 5. The “theory of mind” refers to the ability to understand and attribute mental states (beliefs, attitudes, interests, prior knowledge) to oneself (self-perception) and to other individuals (perception of others). Fundamental to this theory is the ability to understand that others may have different beliefs, attitudes, and knowledge, based on their own unique experiences. An example of an experiment involving theory of mind is as follows. John watches as the teacher places chalk in a crayon box. The teacher tells John that she wants to store the chalk in the crayon box because the chalk box is broken. Stuart is out of the classroom when this happens and enters shortly after the teacher is finished. The teacher asks John: “What do you think, Stuart will say is in the crayon box?” If John is capable of understanding theory of mind he will respond “crayons,” if not, he will respond “chalk.” Find a research article on autism and theory of mind. Construct a theory of mind experiment for Dylan, and predict (based on the article and your reading of this case study) what Dylan’s responses would be. Support your comments with symptoms from his diagnosis and the research.Suggested individual or group presentation activity: 6. You have been invited to provide feedback to the school regarding Dylan’s assessment at a meeting where they will decide whether Dylan continues to meet criteria for Special Education and Related Services. If it is determined that he is eligible for services, what Goals and Objectives would you want to see as part of her IEP? Would you recommend he receives related services, and if so, what would the nature of those services be? 7. Prepare a script for role-playing each of the player’s parts in the school meeting, mentioned above. Who do you think should be attending the meeting? 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Journal of Autism and Developmental Disorders, 35, 235–240. CASE 8 ARTHUR WATSON : WON’T OR CAN’T: A CASE OF MISTAKEN IDENTITYINTELLECTUAL DISABILITY; PARENT DENIAL; ACADEMIC AND BEHAVIOR PROBLEMS Arthur, who was 15 years and 5 months of age, came to the interview accompanied by his mother and father. M r. and M rs. Watson were requesting a psychological assessment of their son Arthur to determine whether Arthur might have a learning disability. The parents were concerned that weak academic progress and lack of behavior controls might be the result of frustration resulting from learning problems. DEVELOPMENTAL HISTORY/FAMILY BACKGROUND Arthur was delivered by cesarean section, 2 weeks post due date, weighing 8 pounds 3 ounces. The pregnancy was reportedly normal with the exception of fluid retention, which was monitored over the course of five ultrasound assessments as well as pelvic X-rays. Arthur was jaundiced at birth; however, this was treated and he was released from the hospital within the normal time frame. Developmental motor milestones were delayed: sitting at 8–9 months, walking at 16 months. Language skills were also reported as delayed, and although he did say his first word at about 1 year, he reportedly did not speak much in his initial years. Descriptions of infant behaviors revealed that Arthur was neither temperamental nor overly active or colicky. Arthur experienced febrile convulsions, and he had a history of earaches, ear infections, and impacted ears due to wax buildup. There were difficulties with bed-wetting until Arthur was 11 years of age. Family history reveals that Arthur is the oldest child in a family of three, having a younger sister (11 years) and brother (8 years). Arthur’s siblings appear to be well adjusted both emotionally and academically. There is no known history of psychopathology in the families of either parent. Arthur’s parents, Celia and Paul Watson, met at university and have been in a stable marital relationship for almost 20 years. Celia works as a counselor in a women’s shelter, and Paul works as a financial consultant for the government. Previous Assessment Results/School History Arthur has had an extensive history of previous assessments, and his initial investigation was conducted by a developmental pediatrician when he was 3 years 8 months of age. At that time, Arthur presented with articulation problems and developmental delays. An EEG was conducted and results were normal. The recommendation was for enrollment in a nursery school program, and Arthur began attending a M ontessori program the next year. However, progress continued to be difficult and problems with aggression, overactivity, and difficulty following directions made the transition to kindergarten problematic. Arthur’s behaviors continued to be a concern with a high level of overactivity, aggressive responding, and poor ability to follow directions. Arthur was reassessed by the developmental pediatrician at 5½ years of age. On this occasion, Arthur presented with “silly” behaviors and appeared distractible and agitated, although he was able to score in the lower average range on a picture vocabulary test. The recommendation was for a classroom with reduced pupil–teacher ratio and a trial of stimulant medication. However, the placement broke down and Arthur’s parents were asked to remove Arthur from the kindergarten program midway through the academic year. Apparently, Arthur’s behavior could not be maintained within the kindergarten program and administrative staff felt that Arthur required more supervision than could be provided in the regular program. M r. and M rs. Watson were becoming increasingly frustrated with the public education system and took Arthur to a private psychologist for an assessment when he was 5 years 9 months old. Results of the Wechsler Preschool and Primary Intelligence Test (WPPSI-R) revealed verbal functioning to be within the lower limits of the lower average range, while performance skills were within the borderline range. Results from the picture vocabulary test were identical to those obtained 6 months earlier by the developmental pediatrician, indicating receptive vocabulary to be within the lower average range. The recommendations were in support of a trial medication period, future assessment of central auditory processing, and the need for a structured behavioral management program. History repeated itself, however, and Arthur’s continued behavioral outbursts resulted in his eventual removal from the regular class program in the public school. As a result, the school board recommendation was for future placement in a behavioral program. Parents appealed the decision, stating that Arthur had attention deficit/hyperactivity disorder (ADHD) and that his needs would be better served in a program that addressed his learning needs. However, Arthur’s parents were unable to produce a clear diagnostic statement to confirm that Arthur had ADHD, and Arthur had not responded favorably to stimulant medication. Ultimately, the school board decision to place Arthur in a special program was upheld; however, the designation of exceptionality was changed from “Emotionally and Behaviorally Disordered” (EBD) to “Learning Disabled” (LD). Over the course of the next 4 years, Arthur attended programs in several schools with limited success. At 7 years of age, he enrolled in a day treatment program affiliated with a local children’s mental health center. While at the center, assessment of intellectual level was attempted; it was only partially completed, however, due to lack of compliance on Arthur’s part. Although results of that intellectual assessment were inconclusive, it was reported that subtest scores ranged from average (general information, block design) to very delayed (oral math, visual sequencing). Arthur scored at the 8th percentile on a readministration of the picture vocabulary test, which was well below previous scores. It was suggested that Arthur’s outbursts might be attempts to avoid academic difficulties and were likely developmental in nature. The following year, Arthur was discharged from day treatment and placed in a primary learning disability program in a community school. However, Arthur’s transition to the program was not successful and parents ultimately removed Arthur from school; he was homeschooled the following year. Parents enrolled Arthur in a local private school when he was 9 years of age; progress was minimal and the school was forced to shut down due to financial reasons. For the next 2 years, Arthur returned to the public school system and was placed in a Junior Special Learning Class. Despite continued problems with attention and concentration, Arthur demonstrated improved work habits, and aggressive acting out was replaced with a newly developed sense of humor. Arthur seemed to relate to his teacher in a very positive manner. However, the following year, when Arthur was moved to a Senior Special Learning Class, previous difficulties with aggression resurfaced and Arthur was removed once again and homeschooled. Parents hired a tutor to assist Arthur during this period, and assessments conducted by the tutor revealed core academics to be at the 1st percentile (kindergarten/Grade 1 level). Reassessment on the picture vocabulary test revealed receptive language to be below the 1st percentile, and at 14 years of age, Arthur had a vocabulary that was approximately equivalent to a child half his age (7 years 9 months). Arthur was now becoming a teenager, and aggressive outbursts were becoming more threatening to his parents and younger siblings. Out of desperation, parents sent Arthur to a private boarding school in upstate New York. They were hopeful that the school would be able to provide the structure and behavior management that Arthur required and that he would return from the school with many positive changes. A review of reports suggests, however, that the facility was more of a prep school than one geared to special needs and was highly inappropriate for Arthur. Parents have had little understanding of what transpired over the year, since Arthur has refused to share any information about his school experience with his parents. When Arthur returned home after 1 year in the program, he was more angry and resentful than ever. Behaviors continued to escalate, and Arthur was beginning to use threatening gestures toward his parents and physically and verbally abusive behaviors toward his siblings (kicking, swearing, hitting, pushing). As a result of a recent violent outburst (Arthur chased his sister around the house with an electrical cord, saying he was going to get her), parents sought temporary placement for Arthur in a residential facility for youth with emotional and behavioral problems. At the time of the current interview, Arthur was being slowly integrated back into his home on weekends. REASON FOR REFERRAL Arthur’s parents were desperate for any information that would help them with Arthur. They were requesting a formal assessment to clarify the nature of cognitive functioning, academic levels, and any other information that might assist in better understanding Arthur’s social/emotional and behavioral difficulties. According to M r. and M rs. Watson, despite a number of previous attempts to assess Arthur’s functioning, to their knowledge, Arthur had not had a complete formal psychological assessment in the past. During the interview, Arthur appeared highly agitated. He shifted his position in the chair continuously, slouching down with his long legs dangling across the floor. At approximately 5 feet 10 inches tall, Arthur towered over his parents when he stood up. Throughout the interview, Arthur would make grimacing faces, mimic his parents’ comments, interrupt often, and correct his parents, especially his mother, in a loud and mocking voice. When asked about the private school he had attended in New York, Arthur said that he hated the school and he hated the kids at the school. In response to specific questions, Arthur was difficult to understand, partially due to poor articulation and sound substitutions (“s” for “t”), but mostly because he tended to be very tangential in his responses. Cluttered speech, a tendency to trail off at the ends of sentences, and a propensity to make “silly voices” also rendered communication difficult to understand. When asked if he knew why he was at the clinic, Arthur said that he was “too violent” sometimes and added that lately he was “more bad than good.” He did seem remorseful, however, and said that he wanted to be better. When asked if he might agree to take medication to help control his behavior and do better at school, Arthur responded that he was prepared to try, if it would work. He added that things were very difficult now, and he was getting into trouble a lot because of his temper. He said that he was also having trouble sleeping and falling asleep. In response to a question about what concerned him most, Arthur said that sometimes he did stuff that he wished he had not but then it was too late. He spontaneously added that he did not have any friends and that he hated his “zits” and wanted them to go away so he could get a girlfriend. He worried that he would not be able to get rich and find a wife when he got older. Arthur was seen for three assessment sessions. Behavior varied across sessions, with Arthur becoming more vocal and volunteering more personal information as time progressed. However, Arthur was quite agitated when he arrived for the third session and muttered an obscenity as his father dropped him off at the office. When asked if he wanted to talk, he said that he just wanted to do his work with the psychologist for the day, but then spontaneously began to discuss what had occurred. Arthur was of the impression that he would not be able to go back to school because it cost too much money and that he would have to stay home and do jobs all day. When he was reassured that parents and psychologist were working together to find out which school he would be happiest at, he seemed to be very relieved and was eager to get back to the assessment. A fourth assessment session was scheduled; however, further assessment was preempted when Arthur’s behavior again escalated at home, resulting in admission to the crisis unit at the regional children’s hospital. On that occasion, Arthur had threatened harm to his parents, sister, and eventually himself and was admitted to the hospital for 1 month to allow for medication trials, observation, and behavioral stabilization. While in the hospital, Arthur responded well to a combination of sertraline and thioridazine, his behavior stabilized, and he was discharged back to his home at the end of the month. A discharge planning meeting was held prior to Arthur’s release from the hospital, and parents again voiced their frustrations with the “system,” complaining that they had been given very little direction regarding future placements for Arthur. Parents returned to the clinic to complete Arthur’s assessment and for assistance regarding future planning. ASSESSMENT RESULTS Arthur’s scores for all the assessment instruments that he completed and the scales completed by his parents are available in Appendix A. The following is a summary of those findings. Information regarding specific assessment instruments and guidelines for the interpretation of standard scores and T scores are available in Appendix C. The Wechsler Intelligence Scale for Children (WISC-V) was administered over three sessions to allow for sufficient rapport building and to accommodate Arthur’s tangential response style. Spontaneous digressions were frequent throughout the assessment session. Arthur’s effort was considered optimum, and although anxiety and low frustration tolerance were evident, results were considered to be a valid index of functioning levels. Although Arthur’s overall scores on the visually oriented tasks, Visual Spatial Reasoning (VSI = 69; range 65–76) and Fluid Reasoning Index (FRI = 65; range 59–72), were superior to his score of 55 for the Verbal Comprehension Index (VCI; range 51–62), the discrepancy was not significant. Therefore, Arthur’s full scale IQ of 57 (range 53–64) is considered to be a good index of composite intellectual functioning. Scores for the Processing Speed Index (PSI) of 54 (range 49–61) and Working M emory Index (WM I) of 55 (range 51– 62) were similar to scores for VCI. Overall intelligence was below the 1st percentile. Arthur is cognitively challenged and his abilities range within the range of mild intellectual disability (M ID). Developmentally, cognitive skills are similar to a child several years his junior, at approximately 8–8½ years of age. Results suggest a global and pervasive cognitive deficit rather than any specific learning disorder. Arthur is a concrete thinker, and transferring information between different environments is challenging for him. Verbal expression is weak and vocabulary knowledge limited. Arthur often uses words inappropriately, familiar with the word but not completely grasping the meaning. His comprehension improves if visual aids (pictures) are added. Academically, according to the Weschler Individual Achievement Test (WIAT-III), Arthur’s academic performance was commensurate with his intellectual functioning, and Arthur scored consistently at the Grade 1 level across the core academic areas. He demonstrated a relative weakness in numerical operations and a relative strength in spelling. Parents completed the Adaptive Behavior Scale (ABS-S:2) and Vineland Adaptive Inventory. According to the ABS-S:2, Arthur was rated at age level in all areas of Personal and Personal-Social Responsibility. Similarly, parents also rated Trustworthiness and Social Engagement within the norm. Language Development, Hyperactive Behaviors, and Disturbing Interpersonal Behaviors were rated as minor problems. Ratings on the Vineland Interview were consistent with the ABS-S:2 and placed Daily Living Skills and Socialization within the normal range for his age and Communication Skills at a low average level. Caution was advised in interpreting overall adaptive functioning using the scores from the parental assessments, which evaluated his behavior in an environment of high familiarity (home, high predictability, highly structured), and offered situations with few external distracters. It was suggested that adaptive functioning would deteriorate considerably when he was in situations that were novel and unexpected, offered many distracters, were unstructured, and offered a wide variety of academic and social pressures. According to parent ratings on the Conners Scales and Achenbach (CBCL), Arthur demonstrated significant problems in areas of Conduct (T = 96), Learning (T = 71), Impulsivity (T = 68), and Anxiety (T = 68). Further assessment: Psychiatric consult: A psychiatric referral was initiated to assist in the monitoring of Arthur’s medication following his release from the hospital. Resulting from the psychiatric consult, the possibility of Tourette’s disorder was also raised due to evidence of some complex motor and vocal tics with associated mimicry. During his interview with the psychiatrist, Arthur admitted that although he sometimes would engage in swearing, facial grimaces, silly voices, and mimicry on his own accord, at other times, he had difficulty controlling these behaviors. As a result, the psychiatrist suggested that Tourette’s disorder might also be a possibility. Although recent evidence of depression with aggressive behavior patterns had responded to a combination of sertraline and thioridazine, the psychiatrist recommended that the family slowly wean Arthur off the thioridazine, which was causing excessive sedation. The psychiatrist indicated that future pharmacological treatment might include an SSRI (sertraline or Prozac) in combination with stimulant medication. Other areas to be addressed would include possible risperidone for the motor tic disorder and/or lithium to reduce aggressive behavior. ISSUES, TRENDS, AND TREATMENT ALTERNATIVES The concept of intellectual disability (ID) (formerly known as mental retardation) has evolved over the course of history. Seguin, the founding father of the American Association on M ental Retardation (AAM R), established the association in 1876 to advocate for the rights of individuals who had mental deficiencies resulting from arrested development. By the late 1950s, there was growing discontent with the practice of determining an ID on the sole basis of intelligence testing (IQ below 85; one standard deviation below the mean), and criteria were expanded to include the need to establish accompanying deficits in adaptive functioning, in addition to onset in childhood (initially before age 16). Twenty years later, criteria were further narrowed to include an IQ level which was two standard deviations below the mean (IQ 70), and in 1992, the AAM R increased the age of onset to include onset prior to age 18 (AAM R, 1992), which was also the age of onset in the DSM-IV-TR (APA, 2000). In January 2007, the AAM R changed its name to the American Association on Intellectual and Developmental Disabilities (AAIDD) to address concerns with the use of the label mental retardation for individuals with ID (AAM R, 2006). The switch from mental retardation to intellectual and developmental disability was instituted to better conform to terminology used in Canada and Europe and to focus on the mission of AAIDD, which is to assist and advocate for those with developmental disabilities, such as autism, which often coexist with IDs. The newly revised DSM -5 (APA, 2013) has also changed the name of the disorder to one of intellectual disability (intellectual developmental disorder). The DSM -5 criteria for ID remain unchanged from the previous version of the DSM , with onset during the developmental period and including significant deficits in intellectual (IQ score of 65–75) and adaptive functioning. However, the DSM -5 no longer classifies the severity of ID by range of intellectual functioning (mild, moderate, severe, profound), as was the previous methodology; instead, specifiers of mild, moderate, severe, or profound can be used to identify levels of support needed for adaptive functioning in three domains: conceptual (academic functioning), social, and pragmatic (life skills). At least one of the three domains must be sufficiently impaired (requiring support to adequate functioning) to meet criteria for diagnosis of ID. There are currently three different systems that can be used to classify IDs in North America: the DSM -5 (APA, 2013), AAIDD (2009), and the educational system (IDEA, 2004; Yell, Shriner, & Katsiyannis, 2006). A more detailed discussion of the similarities and differences between these systems regarding the classification of IDs is available in Appendix B. In addition to revealing impairment in intellectual functioning, deficits in adaptive functioning have also been a critical component of a determination of IDs for the above systems, although the systems vary in how they define adaptive behaviors. Regarding the case of Arthur, in addition to deficits in mental capacity and adaptive behavior problems, there was also concern that Arthur might demonstrate symptoms of Tourette’s disorder. According to the DSM -5 (APA, 2013), Tourette’s disorder is a tic disorder classified under neurodevelopmental disorders that is characterized by uncontrollable tics (rapid, nonrhythmic movements or vocalizations) that are evident in multiple motors and at least one vocal tic. The course of the disorder is unpredictable, with many youth outgrowing the disorder in adulthood. Behavioral Interventions and Treatments Treatments and interventions for children and adolescents with mental impairments often focus on two broad areas: 1. intellectual adaptive deficits and 2. associated behavioral–emotional problems (Kronenberger & M eyer, 2001). Evidence-based treatment for associated behavioral difficulties will be discussed first, followed by a discussion of the efficacy of educational treatments. The Behavior Management of Behavioral and Emotional Problems Determining the prevalence rate for comorbidity of mental disorders and ID in children and adolescents is a difficult task due to the wide variability in samples used and research methods employed. Koskentausta, Iivanainen, and Almqvist (2002) reported rates ranged from 10% to 60% depending on the nature of the population sampled (clinical versus nonclinical), level of intellectual impairment, and inclusion criteria (nature of assessments and types of assessment instruments used). In their review of the research on ID and comorbid disorders, Einfeld, Ellis, and Emerson (2011) limited their findings to 9 studies out of a possible 85, based on rigorous inclusion criteria and report that “overall, 30%–50% of children and adolescents with ID were identified as having a mental disorder” (p. 138). In order to assess the prevalence, comorbidity, and impact of DSM disorders in 7–20-year-olds with ID, Dekker and Koot (2003) had parents’ complete modules of the Diagnostic Interview Schedule for Children (DISC) for anxiety, mood, and disruptive disorders for 474 children who were randomly selected from Dutch schools for the intellectually disabled. Based on parent responses to the DISC, Dekker and Koot (2003) reported the following prevalence rates for disorders: anxiety 21.9%; mood disorder 4.4%, and disruptive behavior disorder 25.1%. Overall, approximately, 37% of children with ID met criteria for a comorbid disorder, with those who received ratings for multiple disorders rated as more severely impaired in everyday functioning. Less than half the children with reported disorders (27%) were receiving mental health care. “Comorbidity between major groupings of disorders was most common between disruptive disorder and mood disorder, followed by disruptive disorder with anxiety disorder” (p. 921). Negative outcomes for youth with impaired cognitive functioning and challenging behaviors include physical risk to the youth or peers and increased risk of isolation, abuse, and other forms of inappropriate interactions with peers (Emerson, 2001), which increases the long-term risk of developing serious psychological difficulties (Deater-Deckard, 2001; LaFontana & Cillessen, 2002). Furthermore, in their study of child and adolescent impressions of those with challenging behaviors, Byrne and Hennessy (2009) found that similar to their average-functioning peers, children and adolescents with IDs are less willing to engage in shared activities with peers who display challenging behaviors. In addition to comorbid disorders, individuals with IDs also present with social skill deficits that can influence coping ability and result in tendencies to withdraw, stigmatization, and increased rates of psychopathology (M atson, Anderson, & Bamburg, 2000). The majority of children and adolescents with IDs have social skill deficits. Bielecki and Swender (2004) state that “research demonstrates that there is an established relationship between social skills and maladaptive behaviors, but because the data are correlational, it is unclear if social skill deficits result in problem behaviors or if the presence of maladaptive behaviors results in social impairments” (p. 695). However, Bielecki and Swender (2004) emphasize that although there are limitations in assessing social skills in the population of children and adolescents with IDs due to limited verbal responses, researchers need to rely on methods of observation of social skills and parental reports for assessing social skills through “behavioral observations, role-playing, and checklists.” They state that “more knowledge could then be gained regarding the relationship between specific social skills variables” by integrating information from other assessment measures used (e.g., cognitive assessments, assessments of affect and mood) in order to inform clinical treatment planning (p. 705). The topic of emotion regulation in children and adolescents with ID has been significantly underresearched (see M cclure, Halpern, Wolper, & Donahue, 2009 for a review), despite the fact that the concept of emotion regulation is integral to our understanding of developmental processes such as the role of language and peer interaction on the development of skills in the area of selfregulation. Developmentally, children usually develop skills in emotion regulation, noted in self-soothing behaviors, somewhere between 3 and 6 years of age based on modeling behaviors observed in caregiver responses to them when in emotional distress. Later on, children learn how to manage emotional responses in social situations in order to maintain positive social relationships with others. However, individuals with ID likely experience more difficulty with emotion regulation due to limitations in areas of language development and social skills. Since lack of emotion regulation can interfere with performance in a wide variety of situations, it is important to seek out interventions that can assist individuals to perform when they are in a state of negative emotional arousal. Two interventions that have focused on reducing negative emotional arousal in individuals with ID include the Stop-Think Relax self-control strategy (Chapman, Shedlack, & France, 2006) and the use of mindfulness-based approaches (Singh et al., 2007, 2013). The Stop-Think Relax program (Chapman et al., 2006) is a simple three-step approach to selfregulation which is reinforced by visual cues. Although the program has been primarily used with adults, it could readily be adapted for adolescents. M indfulness-based training was effectively used to assist young adults with IDs (average age of 23 years) to control physical and verbal aggression (Singh et al., 2013). M indfulness training has also been successful in assisting parents of children with developmental disabilities (aged 4–6) in areas of satisfaction with parenting, increased social interaction with their child, and lowering parent stress (Singh et al., 2007). Children benefitted from “mindful parenting” with increased positive behaviors and decreases in negative altercations with siblings. Treatment programs developed to assist with behavioral and emotional problems in populations with IDs have largely used methods of functional analysis based on applied behavior analysis (ABA). ABA has been defined as “the extension of experimental methods to applied settings” (Kazdin, 1994, p. 25). Behavior management programs can be simplistic (using praise to increase or ignoring to decrease behaviors) or very complex (contingencybased programs). Behavior management techniques are based on sound empirical support that has been documented in countless studies and journals devoted specifically to behavioral research: Behavior Modification, Journal of Applied Behavior Analysis, Behavior Therapy, and others. However, successful behavior management programs require more than a knowledge of the mechanisms of behavioral change. They also require an understanding of how the child’s different situational contexts contribute to the problem behaviors. Behavioral treatment programs can be developed to either increase deficit behaviors or decrease behavioral excess. Although it is always preferable to increase deficit behaviors, such as targeting increased compliance through the use of positive reinforcement or negative reinforcement, there are times when it is necessary to focus on reducing a behavioral excess (e.g., highly aggressive behavior) through the use of punishment or extinction. Behavioral principles of schedules of reinforcement, shaping behavior and behavior chaining, secondary rewards, and token economies have all been demonstrated as effective methods for managing behavioral change. Behavioral programs can benefit from the use of an empirical approach to select target behaviors (Weist, Ollendick, & Finney, 1991) to create a reinforcer hierarchy; the selection of reinforcers for specific populations (such as adolescent populations); and techniques to promote generalization of outcomes across situations. In their review of treatment programs for aggressive behaviors in individuals with ID, Brosnan and Healy (2011) emphasize the need to establish the function of aggression in a behavioral context in order to develop effective strategies for remediation. To this end, Brosnan and Healy (2011) underline the importance of conducting a functional behavioral assessment (FBA) prior to developing a treatment plan. The authors mention three of the most successful intervention approaches including antecedent manipulations and changes in instructional context (activity schedules, prompts, video priming); reinforcement-based strategies (picture exchange communication system [PECS], functional communication training [FCT], differential reinforcement procedures); and consequential control (extinction, overcorrection, response cost, time out). One of the oldest behavioral intervention programs, the token economy, uses contingency management systems or token economies to improve behavior in children and adolescents. Lieberman (2000) states that the token economy allowed for the full range of services to be “modified by systematic and preplanned use of antecedents (e.g., prompts) and consequences (e.g., reinforcers) …” to shape behavior based on the same “laws of learning” that influenced normal behavior.” The term “token economy” originated from the use of tokens (earned for good behavior) that could be exchanged for rewards selected by the patient (candy, privileges, etc.) (p. 1398). Although token economies were in high demand in the 1970s and 1980s, they fell out of favor when the movement to deinstitutionalization relocated individuals with ID back into the community. However, the efficacy of using contingency management systems or token economies to improve behavior in children and adolescents has been demonstrated across many settings (Wielkiewicz, 1995). M ore recently, Reitman, M urphy, Hupp, and O’Callaghan (2003) compared group and individualized contingency management programs for children and found that the contingency management program assisted in reducing unwanted behaviors compared to the wait list control, and that furthermore, whole group contingency was generally as effective as the individually administered contingency program in motivating children to increased desired behaviors by earning tokens or coupons that could be traded for concrete reinforcers. Contingency programs to increase deficit behaviors can be used in the regular classroom (Brantley & Webster, 1993), special classroom (Kratochwill, Elliott, & Rotto, 1990), and home. Contingency programs can also be developed to reduce excess behaviors. Programs that target reducing behaviors function on a response cost basis, where children lose tokens, coupons, and the like when they demonstrate the undesirable behavior. Positive behavior support (PBS) is a theoretical framework for understanding problem behaviors that was primarily derived from ABA. The PBS approach emerged in the mid-1980s amid increasing concerns regarding the use of aversive techniques to control behavior (Will, 1999) with the goal of extending programs from the laboratory and clinics into the broader community at large (Horner et al., 1990). Undesirable behavior can be reduced by behavioral modification through teaching children to behave in new ways or promoting behavioral change through the use of positive or negative reinforcements (Kappel, Dufresne, & M ayer, 2012). In contrast to punishment (use of aversive consequences) or response cost programs which were used to reduce negative behaviors, the concept of PBS, which promoted interventions to increase positive behaviors, began to increasingly appear in educational settings for individuals with IDs due to increased focus on inclusion (Carr et al., 2002). School-wide PBS programs focus on prevention, skills building, and environmental modification and can involve three levels of interventions, namely, primary, secondary, and tertiary. Behavior programs for training in adaptive skills and social behaviors have also demonstrated successful positive change (Embregts, 2000). Teachers can use reinforcers to increase desirable behavior through extrinsic rewards such as stickers and tokens which can be exchanged to acquire privileges (free time) or desired objects (toys, candy) or social reinforcers such as attention, praise, and affection (Liberman, 2000). Currently, PBS interventions encompass social, behavioral, educational, and biomedical science drawing on evidence-based practices conducted in naturalistic settings (Clarke & Dunlap, 2008; Gable, Hendrickson, & Van Acker, 2001; Scott et al., 2005) to improve quality of life and reduce problem behaviors (Carr et al., 2002). PBS has attempted to integrate the ABA framework of instrumental/operant learning (evident in principles of reinforcement, contingency management, stimulus control, shaping, fading, prompting, functional equivalence, generalization, and maintenance) with information available from other disciplines (Cooper, Heron, & Heward, 2007). As a result, PBS creates a cross-discipline view of behavior that encompasses pharmacological, genetic, neurodevelopmental, and psychological approaches that can assist in the development of a more comprehensive view of the range of factors that can influence the development of challenging behaviors and the interventions that can help alleviate them (Carr & OwenDeSchryver, 2007; Eisenberg et al., 2005). PBS has moved away from the tendency to emphasize immediate environmental contingencies in favor of a broader look at systemslevel factors that may be influencing behaviors and potential outcomes (e.g., the classroom, the family). There has also been increased focus on strategies for prevention, intervention, and the importance of developing positive replacement behaviors to accompany the reduction of problem behaviors (Dunlap, Carr, Horner, Zarcone, & Schwartz, 2008). In a recent meta-analysis of interventions for challenging behaviors, Harvey, Boer, M eyer, and Evans (2009) found that behavioral interventions, especially when developed through functional behavioral analysis, significantly reduced challenging behaviors and that teaching replacement skills for problem behaviors was highly effective. Parent management training and behavioral family interventions (BFIs) are programs that train parents to respond to the child’s inappropriate behavior in ways that increase positive and decrease opportunities for disruptive behavior. Parent training programs and BFI have been demonstrated to be an effective component for treatment of children with intellectual and other disabilities (Handen, 1998). The literature strongly supports the engagement of the family in treatment programs for children and adolescents with ID to ensure generalization to other contexts (M atson, M ahan, & LoVullo, 2009) and to address any stressful outcomes that parents and children may face, since stress is one variable that has frequently surfaced as a risk factor for parents of children with ID (Peer & Hillman, 2014). Singh et al. (2013) found that parents who were engaged in a mindfulness parenting program had significantly more success in reducing aggressive behavior and increasing their children’s social skills, while also experiencing increased satisfaction with their parenting and a reduction in parenting stress. In addition, there is also an emphasis on maintaining flexibility in using different protocols (Willner, 2005) and involving the child or adolescent’s family (Gavidia-Payne & Hudson, 2002). Parent training programs have focused on increased understanding of their child’s behavior and the application of specific behavioral techniques to assist in reducing inappropriate behaviors and enhancing parent–child interactions. Studies involving parent training have reported significant reductions in undesirable behaviors, such as the disruptive behavior disorders (conduct problems, oppositional defiant disorder) and hyperactivity, and increases in desirable behaviors, such as obedience/compliance (Bagner & Eyberg, 2007; Roberts, M azzucchelli, Studman, & Sanders, 2006). Some of the factors that have been related to the effectiveness of parent training programs include decrease in negative parenting style (M cIntyre, 2008), increase in constructive parent–child interactions (Bagner & Eyberg, 2007), and reduced stress and tendencies to be overreactive in mothers (Roberts et al., 2006). Parent training programs have been proven effective and have the flexibility to be administered in a number of different ways, whether administered in groups or individually. Hudson et al. (2003) used a BFI program called Signposts for individuals 4–19 years of age and report that the program was successful in reducing behavior problems and parental stress, while increasing feelings of efficacy in parenting practices, regardless of whether administered via group, telephone, or self-directed modes. Educational Programs: Academic Achievement and Intellectual Adaptive Deficits Fundamental to IDEA (IDEA, 2004) is the assurance that all children with disabilities in the United States receive a free and appropriate public education (FAPE) in the least restrictive environment. The IDEA also outlines procedures that should be followed by special education personnel, including obtaining informed written consent of the parents prior to assessment and the need to develop an individualized education program (IEP) for each disabled child. The IEP serves as the child’s educational plan and outlines needs for meeting the child’s educational goals through assessment, intervention, and monitoring of progress during annual reviews (see Appendix B for a more detailed discussion of IDEA, 2004). Controversy concerning the validity of special education placements evolves around two important questions: 1. Does placement in special education programs benefit students with special needs? 2. Should placements be categorical (separate placements for different disabilities) or noncategorical; for example, can all children with special needs benefit from the same resources? With regard to issues of placement, IDEA (2004) focuses on providing education for children with disabilities in the least restrictive environment such that special education programs are complemented by mainstreaming (the integration of disabled children into the regular class program) for as much time as possible. Students who qualify for special education also are provided with related services (speech language, occupational therapy, etc.) if these are needed. M ost recently, the Regular Education Initiative has taken the position that full inclusion, rather than mainstreaming, would be the best solution and that the needs of children with disabilities would be best served by full-time placement in the regular or general education program. Proponents of mainstreaming and inclusion frequently cite results from the Carlberg and Kavale (1980) meta-analysis comparing general with special education. Results of this analysis suggested that students with M ild Intellectual Disability (M ID) generally obtained better outcomes in regular programs. It has further been argued that placing students with M ID in contained special classrooms can actually place them at a disadvantage, isolating them from normative role models (Ysseldyke, Thurlow, Christenson, & M uyskens, 1991). M ore recently, Hocutt (1996) reviewed more than 100 studies conducted over the last 25 years and suggests that claims of the efficacy of special education placement versus regular placement are difficult to substantiate, since much of the research is flawed methodologically and/or outdated with respect to today’s classification systems. On a more positive note, Hocutt (1996) suggests that it is the intervention program (intensive individualized instruction and monitoring of progress) rather than the placement that predicts success for students with M ID. The question remains, however, whether adequate monitoring and intervention are more likely to occur in a class with smaller enrollment. Sabornie, Cullinan, Osborne, and Brock (2005) conducted a metaanalysis of 58 studies to determine whether separation of students into high-incidence categories, specific learning disabilities, M ID, or emotional/behavioral disabilities (E/BDs) was meaningful based on research examining three dependent variables that are necessary for eligibility for special education placements, including intelligence (IQ), academic achievement, and behavior. Results of their study support the retention of different disability categories, especially for students with M ID, based on significant differences between students with M ID and the other two groups in areas of IQ; academic achievement; and the need for specific emphasis on functional and life skills, personal care skills, communication ability, social skills, and transition-oriented planning in their educational programming (p. 55). In addition, there is some evidence that students with M ID who are mainstreamed may be stigmatized, avoided, and marginalized in that setting (Dovidio, M ajor, & Crocker, 2000), while students in segregated settings may be protected from being stigmatized (Todd, 2000). However, the potential negative impact of living within such a protective environment might be that they have more limited awareness of their potential, since their only comparables are other students with IDs (Finlay & Lyons, 2000; Todd, 2000). In summary, comparing oneself to similar peers may be protective of self- esteem, while comparing oneself to nondisabled peers may lower one’s self-esteem (Crabtree & Rutland, 2001). Cooney, Jahoda, Gumley, and Knott (2006) studied 28 students attending mainstream schools and 32 students who attended a segregated school (mean age 15.6 years; mean IQ = 62). While both groups of students reported similar levels of stigmatization beyond school (in the community), the students who were mainstreamed also reported stigmatization at school by their nondisabled peers and perceived problems with support from teachers and staff who they felt were not sympathetic to their learning needs. There was no difference between the two groups with respect to future goals and the likelihood of meeting these goals. M ortweet (1997) studied the effect of class-wide peer tutoring of M ID students within the regular program; results revealed positive gains academically and socially, although social interaction did not generalize to other settings outside the programmed instruction. Kuntz and Carter (2019) reviewed 40 studies that examined interventions for middle and high school students with ID who were enrolled in a range of core academic and elective classes. The interventions were classified into five primary categories: systematic instruction, peer support arrangements, selfmanagement strategies, peer-mediated communication interventions, and educational placement changes (p. 114). Their report revealed interventions involving peer support arrangements; systematic instruction; vocational interventions; and selfdetermination interventions all have support as evidence-based practices for students with ID. However, Kuntz and Carter (2019) emphasize that many “academic and behavioral interventions evaluated in special education classes have yet to be adapted for use in general education classes,” and furthermore, the five categories of interventions they reviewed should be “drawn upon by IEP teams as they consider how best to enhance the learning and social outcomes of students with ID in inclusive classrooms” (p. 114). M any students find the transitions to middle school and high school from elementary school to be major challenges, as the curriculum becomes more complex, class sizes increase, students are responsible to multiple teachers, and expectations increase dramatically (Carter, 2018). For students with IDs, this challenge can be a very difficult one, unless structure and support are provided to assist them through the transitions and develop increasing skills in areas of self-management and independence. Although there has been attention paid to the possible positive and negative social implications of integration within the regular class program, there has been less attention paid to the longer-term and vocational implications of educational preparation for youth with M ID. The National Longitudinal Transition Study-2 (Wagner, Newman, Cameto, Garza, & Levine, 2005) revealed that students with M ID demonstrate persistent underemployment, with only 52% of postgraduates with M ID engaged in postgraduate activities, such as employment, training, or further schooling (Wagner, Newman, Cameto, Levine, & Garza, 2006). Hartman (2009) outlines a step-by-step approach to creating a community-based treatment program for students with IDs, which is focused on the integration of resources in schools, business partnerships, and training in selfdetermination and advocacy issues. According to Butterworth, Hiersteiner, Engler, Bershadsky, and Bradley (2015), approximately only 10% of individuals with ID are gainfully employed in the community. Based on these low employment rates and previous findings that individuals with ID who have higher levels of self-determination experience more positive employment outcomes (Shogren & Shaw, 2016; Shogren, Wehmeyer, Palmer, Rifenbark, & Little, 2015), Shogren, Wehmeyer, and Burke (2017) examined interventions to teach skills associated with self-determination to be used in planning and setting goals for students to assist in making this important transition from secondary education to employment for individuals with IDs. Shogren et al. (2017) evaluated the effectiveness of two selfdetermination training programs: Self-Determined Learning M odel of Instruction (SDLM I), alone, and the SDLM I program in combination with Whose Future Is It? The focus of the programs was on developing skills associated with self-determination, including skills such as decision-making, problem-solving, planning, selfmanagement, self-advocacy, and goal setting to enhance future transition to postsecondary school employment (i.e., choice making, decision-making, problem-solving, planning, goal setting and attainment, self-management, self-advocacy, self-awareness, and self-knowledge) to enable students to set and attain transition goals related to integrated employment. Results revealed that teachers rated students in both programs as making significant positive changes in self-determination. Post-Case Questions 1. Would Arthur’s profile warrant a diagnosis of ID? Discuss this question from the perspective of each of the following classification systems: DSM -5 (APA, 2000), AAIDD (American Association on Intellectual and Developmental Disability), and the educational system (IDEA, 2004). Information available in the case study and Appendix B will provide the framework for answering this question. 2. Lalli, Kates, and Casey (1999) investigated the rates of problem behavior relative to academic demands in two boys with M ID. Results revealed that aggression was highest during spelling instruction and that problem behavior was driven by negative reinforcement. Changes in instructional format produced a reduction in negative behaviors. Explain how these findings might be relevant to Arthur’s case. How might an FBA of Arthur’s behaviors have helped with programming? Based on information in the case presentation, develop a likely FBA for Arthur’s disruptive classroom behaviors outlining possible behaviors (suggest possible examples of disruptive behaviors), precipitating conditions (situations that trigger the behavior), consequences of behavior (situations/events that follow the behavior), and functions of behavior (underlying processes/motivations that sustain the behavior). Show how you would conduct a similar assessment to determine the extent to which behaviors were also occurring in other contexts: playground, after-school program, home. 3. The psychiatrist felt that Arthur may also have Tourette’s syndrome. How common is it for individuals with IDs to have Tourette’s syndrome and how might this impact his overall functioning, socially, behaviorally, and academically? Would Arthur also meet criteria for ADHD, given the information providing in the case and in the extended results section in Appendix A? 4. Given the research on benefits versus negative outcomes of children with M ID receiving instruction in special education versus regular education classes, what would you recommend for Arthur based on his profile and past history? Support your comments with citations from the case and the research. 5. Patricia M acGill Smith (2010) published an article that is particularly relevant to Arthur’s case because it explores the many feelings that parents experience when they have been told that their child has a disability. The article which was originally published on the NICHY website can still be found at the following link: https://www.parentcenterhub.org/wpcontent/uploads/repo_items/notalone.pdfIn the article, Smith describes feelings of shock, denial, fear, grief, guilt, confusion, powerlessness, disappointment, and rejection (of either the diagnosis or the child). Read the article and map the feelings on to the responses of Arthur’s parents to a history of information received from assessments and failed interventions. Reflect on whether the system did not provide enough support and, if so, how the parents could have been better informed and their expectations managed throughout. What would you do to assist these parents and Arthur at this time?Suggested individual or group presentation activity: 6. You have been invited to provide feedback to the school district regarding Arthur’s assessment at an administrative meeting called to decide placement options for Arthur within the public school system. Given his test results, you suggest he have a specialized placement where he can receive sufficient attention to his learning and behavioral and emotional needs. In addition to an IEP, you are also recommending a FBA be conducted by school personnel so that they can develop a behavioral intervention plan for use in the school. 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The effectiveness of psychotherapeutic interventions for people with learning disabilities: A critical overview. Journal of Intellectual Disability Research, 49, 73–85. Yell, M . L., Shriner, J. G., & Katsiyannis, A. (2006). Individuals with disabilities education improvement act of 2004 and IDEA regulations of 2006: Implications for educators, administrators, and teacher trainers. Focus on Exceptional Children, 39(1), 1–24. Ysseldyke, J. E., Thurlow, M . L., Christenson, S. L., & M uyskens, P. (1991). Classroom and home learning differences between students labeled as educable mentally retarded and their peers. Education and Training in M ental Retardation, 26, 3–17. CASE 9 BRIAN WILLIAMS : MY NAME IS WILLIAMS, TOO: WILLIAMS SYNDROME Brian came to the clinic accompanied by his grandmother. At 9 years 7 months of age, Brian was a walking paradox. On the one hand, he was a highly sociable youngster and showed a maturity in caring and empathy for others. His welcoming and friendly demeanor should have set the stage for a host of social relationships. However, he experienced extreme problems with social functioning. Despite a keen love of people and a strong desire to have friends, Brian could also appear anxious, experience numerous peer difficulties, and then withdraw socially. Brian’s original assessment results from testing conducted when he was 4 years old and again when he was 6½ have revealed wide variations in patterns of strengths and weaknesses for intellectual and adaptive functioning. An update was requested to evaluate interim gains and to reexamine his profile of strengths and weaknesses, especially in the social arena, and to provide intervention strategies to assist with social functioning. Academically, Brian continues to struggle, especially with very basic math concepts, while language-based functions are an area of relative strength. A reevaluation was requested to better identify the nature of his difficulties to assist with recommendations for interventions in the future. DEVELOPMENTAL HISTORY/FAMILY BACKGROUND Brian’s paternal grandmother accompanied him to the clinic and provided the information for the family background and developmental history for this African American family. Brian’s mother gave birth to Brian when she was only 17 years. The delivery was by cesarean section due to fetal distress. Brian was beyond a full-term baby and considered as “prolonged gestation,” born at approximately 42 weeks, and weighing 7 pounds 11 ounces. The Apgar score was 9 for entries recorded at 1 and 5 minutes. Brian’s biological father was 20 years old at the time of his birth. Brian currently lives with his father and paternal grandparents and has visitation with his mother two or three times monthly. Currently, his father works as a machine operator and his mother is a cashier. M otor milestones were delayed, and he was able to roll over at 6 months, sit at 12 months, and walk at approximately 18 months. In addition, fine motor skills have always been problematic, and he has experienced problems with writing, buttoning his clothes, and tying his shoes. Although speech was initially delayed, not saying his first word until his first birthday, once he began to combine words and produce two-word utterances, his language skills seemed to improve dramatically. Currently, language is an area of strength for Brian, while fine motor skills continue to be an area of significant weakness. Visual spatial skills are also area of weakness, with little interest or aptitude in putting together puzzles or working with legos. When discussing his general health and outlook, his grandmother said that Brian started out as a very fussy and colicky baby who had a lot of problems swallowing and keeping his food down and falling asleep and staying asleep. However, when he outgrew that stage, he developed into a very agreeable and happy youngster. In fact, he was so overly social that she was afraid he would go away with anyone. He seemed to be totally focused on people, their faces, and their voices, from the time he could walk, and teaching him about “stranger danger” continues to be a worry. However, even though he is drawn to people, he is also anxious enough that she believes he would not really go away with anyone. He has many fears and often can be clingy. He can also worry about the strangest things. Grandmother recalled that after hearing a story about sink holes on the news, Brian was worried that he would be swallowed up if a sink hole happened in his yard or the school yard. Once he starts worrying about something, she said, it takes considerable patience to have him stop dwelling on it. There are times, she admitted, when he can be oppositional at home, but his teachers really do not see that behavior at school. For the most part, his teachers describe him as a pleasant child who tries to be accommodating. However, grandmother and teachers have been puzzled about why there is such a disconnect between his social desires and the outcomes of his relationships, and to this point, no one seems to be able to shed any light on the subject. His health has been good; however, he was diagnosed with a heart murmur last fall, which is being monitored. In view of this, the pediatrician has recommended that he lose weight, although his grandmother does not think he needs to. He was prescribed glasses this spring for strabismus, and unlike most kids who balk at wearing glasses, he was delighted because the preacher wears glasses. When asked about his personality and strengths he might have, his grandmother responded with a huge smile and said, “That boy is gonna be a preacher some day!” She said church is one of his favorite activities and he loves to sing the hymns, which he has committed to memory. He is also able to recite the sermon when they get home and often she finds Brian standing in front of the mirror preaching the sermon that they have just heard and using the exact emphasis on the words, sounding just like the preacher. The choir master has said that Brian has “absolute pitch,” a rare gift, especially in one so young, without any formal training. She was very proud of Brian’s performance in church last Sunday when he sang a duet in front of the congregation that was flawless, and he had absolutely no sense of stage fright. Grandmother also mentioned that despite his gift and love for music, he has very sensitive hearing and will sometimes overreact to sounds (especially high-frequency sounds) by covering up his ears. Brian did have a middle-ear infection (otitis media) a few years ago, but it has not happened since. She had mentioned this overreactivity to sound on the last visit to the pediatrician, who has scheduled an appointment with a hearing specialist. Grandmother wondered why Brian has such a short attention span for school subjects (he is very distractible at school) but he can listen to music for a long time and does not miss a musical note. She said that she has tried to get him to slow down on the sermons, but he seems to be obsessed and often just goes on whether she likes it or not. Although he has tried to bring this behavior into the classroom, it was quickly discouraged as disruptive, and he has complied with his teachers’ requests. Brian has been assessed twice in the past, and results have been inconclusive, with little explanation of why his profile is so extreme or to help explain his problems in the social area. The following is a summary of those findings. Brian was seen at the child development center prior to his entrance into the kindergarten program, just before his fifth birthday. At that time, scores on the Differential Abilities Scale (DAS) revealed the following standard scores: Verbal Cluster of 70 (range 70–87) and Nonverbal Cluster of 67 (range 61–72). General Conceptual Ability was a standard score of 65. The Spatial Cluster was not reported. Scores on the Bracken Basic Concept Scale (BBCS-R) revealed significant delays in conceptual development, with an overall standard score of 63 (1st percentile), equivalent to an age score of 2 years 6 months at a chronological age of 4 years 10 months. The evaluator noted, however, that there was significant variability in his conceptual skills, with significant weaknesses noted for conceptual skills in areas of Direction/Position and significant strengths noted in concepts related to Self/Social Awareness. Grandmother completed the Vineland Adaptive Behavior Scales, which resulted in an overall Adaptive Behavior Concept of 69 (3 years 4 months). Strengths were noted in areas of Socialization (SS = 76; 3 years 0 months), Communication (SS = 76; 3 years 3 months), and Daily Living (SS = 86; 4 years 1 month). A significant weakness was evident in M otor Skill Development (SS = 61; 3 years 1 month). Brian was seen in the child development clinic, again when he was 6 years 6 months of age. At that time, the Standford Binet 5 was administered. His overall full scale IQ score was 67 (range 60–75), with a standard score for Verbal Reasoning of 72 and Nonverbal Reasoning of 66. Overall Visual Spatial Reasoning was a significant weakness (SS = 59), while Working M emory for auditory information was a relative strength (SS = 12). Academically, according to the Woodcock Johnson Test of Achievement (WJIII), he was functioning at the following levels: Broad Reading (SS = 86), Broad M ath (SS = 69), and Broad Written Expression (SS= 85). As a result of his assessment, it was recommended that physical therapy be added to his services for “awkward gait” and fine motor problems. Brian was already receiving occupational therapy. REASON FOR REFERRAL When asked what one thing she would like to find out about Brian from the current assessment, his grandmother said, “To finish the puzzle.” She explained that although he had been assessed twice before, no one could provide any “name” for his condition or explain why he behaves the way he does and how to help him. She said that he is becoming increasingly frustrated socially, and she is afraid that he will begin to withdraw into his fantasy world about being a preacher. She just wanted him to have fun with friends and wanted to know how to help. ASSESSMENT RESULTS When Brian entered the room, he presented as a child who looked much younger than his 9½ years. He had a short stature, and his facial features were distinct with pronounced eyes, puffiness around the eyes, a short nose with a broad tip, and large ear lobes. His cheeks were full and filled with a wide smile. Yet his features seemed almost top heavy, with a broad forehead and a jaw that was very narrow and slight. Although Brian was very interested in meeting the psychologist, he was somewhat apprehensive and anxious, so his grandmother sat with them for the first 5 minutes and then Brian was fine. Although he was cooperative initially, he was very easily distracted and had a hard time remaining seated. He preferred to stand during parts of the assessment and often shifted his weight from side to side. When asked about his likes and dislikes, Brian said music and “preaching” were his favorite things. As for dislikes, Brian said that he hated broccoli, because it tasted like “sand and rocks,” and he also did not like surprises because they were scary. When asked what else was “scary,” Brian said loud noises, especially fire alarms, and that it was scary when another teacher was in his class because his teacher was sick. Responses to the Differential Abilities Scale (DAS:2) revealed an overall General Conceptual Ability Level (GCA) of 70 (range 66– 77), placing his functioning at the 2nd percentile. However, as had been found on previous assessments, there was a significant discrepancy between ability levels in different areas. While he scored within the low average range for Verbal Reasoning (SS = 84), he scored within the extremely low range for Spatial Reasoning (SS = 64). Nonverbal Reasoning was approximately midway between these two ranges (SS = 72). Brian encountered extreme difficulty with both spatial tasks: recall of designs and pattern construction. He encountered significant problems with design recall because of his very poor fine motor skills and his inability to recall how the design parts fit together or their orientation in space. He could reproduce some parts, but there was no relationship between them. Brian did not seem to be frustrated by the pattern construction task; he just placed his blocks down on the desk and would then look at the psychologist to indicate that he was done. He did not seem to understand that the blocks had to be turned to match the direction of the picture or that there was a pattern that was to be constructed. This behavior pattern was in sharp contrast to his skills on the verbal reasoning tasks, where he was able to provide very good definitions for words and made good attempts at the verbal similarities; however, this latter task was more difficult for him due to the abstract nature of the task. Academically, scores on the Wechsler Individual Achievement Test (WIAT-III) revealed the following standard scores and grade-level equivalents: Oral Reading Fluency (SS = 76; grade equivalent of 2.2), Reading Comprehension (SS = 60; grade equivalent of 1.7), M ath Problem Solving (SS = 54; grade equivalent of K.8), Numerical Operations (SS= 60, grade equivalent of 1.0), and Spelling (SS = 63; grade equivalent of 1.5). Given these results, Brian is achieving above the level expected, given his GCA (70) in Oral Reading Fluency; however, all other scores are below the expected level. M ath Problem Solving was significantly (16 points) below his anticipated level of functioning. Brian’s teacher and grandmother completed the Adaptive Behavior Assessment System (ABAS III), and the discrepancy between scores obtained on this adaptive measure for the various areas was even more extreme than had been obtained in early administrations. Despite having an ability level for cognitive functioning that places his reasoning ability around the 2nd percentile (GCA 70), ratings for Total Social Adaptation were well in excess of this level and in the average range, as rated by his teacher (SS = 95) and grandmother (SS = 107). Also, in terms of the Practical Adaptive score (measuring community use, home/school living, health and safety, and self-care), Brian scored in the average range (SS = 101) according to his grandmother and just below the average range (SS = 89) according to his teacher. However, in the area of Total Concepts (including communication, functional academics, and self-direction), Brian was well below the range expected, given his GCA. On this area, his grandmother rated him in the extremely low range with a standard score of 55 and his teacher rated him with a standard score of 61. As can be seen, although his Overall General Adaptive Composite for grandmother’s rating (SS = 80) and teacher’s rating (SS = 84) is a score that reflects overall functioning in lower average range, it is based on a profile of abilities that are widely spaced apart. Finally, the Conners parent and teacher rating scales were completed by Brian’s grandmother and teacher. Although his teacher rated him as clinically significant in the area of inattention and in the at-risk range for hyperactivity, his grandmother did not rate his behaviors on this scale as significant and did not feel there were significant concerns regarding the possibility of Brian having symptoms of attention deficit/hyperactivity disorder (ADHD). Grandmother and teacher completed the Devereux Scales of M ental Disorders (DSM D), which revealed significant attention problems, only on the teacher rating scales. However, grandmother and teacher ratings did agree on the existence of significant symptoms of anxiety, especially endorsing fearfulness in many areas, and endorsed several items relating to social intrusiveness (annoys others, talks too much, interacts with strangers inappropriately, etc.). Summary of the Psychologist’s Findings/Impressions Brian is a 9½-year-old boy who demonstrates a wide discrepancy between and within his intellectual and adaptive functioning skills. Intellectually, although his overall functioning is low (2nd percentile), this represents a composite score of three very different ability levels: a significant strength in Verbal Reasoning (low average); a significant weakness in Spatial Analysis (extremely low); and a Nonverbal Reasoning Ability (low) that is midway between these two levels. From an adaptive perspective, while he has obvious strengths in social adaptation and a desire to make friends, he is currently not successful in maintaining any long-term friendships. He has some obvious and possible “savant skills” in the areas of musical ability (pitch, tone, and recall for lyrics and melodies) and can sustain attention for musical activities over a long period of time. On the other hand, academically, his attention span is short and he is highly distractible and fidgety when required to focus on academics in the classroom (or in the assessment situation). During the assessment session, he was very restless and moved about constantly. He has acquired a good ability to decode and read; however, this is likely due to his good memory for phonetic information. His reading comprehension and written expression lag behind, likely due to cognitive deficits in dealing with more abstract applications of language functions. M athematical skills that can benefit from visual spatial abilities are an obvious area of weakness for Brian. Brian’s physical features, including his short stature, distinctive facial features (broad forehead; wide eyes with puffiness around the eyes; a short nose with a broad tip; full lips; wide smile; full cheeks; and small, receding chin), his intellectual and adaptive profile, his musical ability, and his intense interest and desire for social connectivity, all suggest the possibility of a diagnosis of Williams syndrome (WS). Individuals with WS often present as a paradox because they are drawn to social contact, and on the surface, due to strengths in verbal skills, it seems that they should be among the most popular children. However, deficits in processing cognitive information may result in their inability to interpret the subtle nuances of social situations or to understand the more complex social dynamics evident in visual spatial processing (e.g., appreciating social space), and they are likely to be rejected by peers as a result. Because of their empathy and sensitivity, however, this may result in their becoming more apprehensive and anxious in social situations, and they may withdraw from social contact. Since they are drawn to social contact, though, they may place themselves in this situation in a repetitive basis, which may result in increased anxiety and depression in adulthood. Since the majority of individuals with WS have cardiovascular problems, and especially in light of a heart murmur being recently diagnosed, it is recommended that Brian receive a complete cardiology workup. Also, since individuals with Williams share many symptoms of ADHD, and given his behavior in the classroom and assessment setting, further consultation with the family physician is recommended. Brain also has many fears and anxieties that can be overwhelming for him at times, especially loud unexpected noises, like fire alarms. He also has a tendency to dwell on things that cause him to be fearful, and it takes much convincing to calm him down. ISSUES, TRENDS, AND TREATMENT ALTERNATIVES In the introduction to their book about WS, Semel and Rosner (2003) pose the question, “How is it possible to conceptualize a group of children who test as though retarded, speak as though gifted, behave sometimes as though emotionally disturbed, and function like the learning disabled?” (p. 1). In essence, this summarizes some of the puzzling aspects of individuals with WS, a genetic neurodevelopmental disorder occurring in approximately 1 in 7,500 births (Stromme, Bjornstad, & Ramstad, 2002) to 1 in 10,000 births (Huang, Sadler, O’Riordan, & Robin, 2002). However, according to Huang et al. (2002), there is a significant delay in the diagnosis of WS by pediatricians, since physical manifestations of the disorder may be very subtle at an early age, making diagnosis difficult in infants and young children. The authors survey 46 parents of children eventually diagnosed with WS and found that on average children were not diagnosed until approximately 3½ years of age, despite concerns noted in the first year. Involvement of a geneticist was associated with significantly earlier diagnosis. The authors also speculated that the pediatricians may not have been aware that irritability and gastrointestinal problems/vomiting were common symptoms of WS in the first year. While the disorder is most commonly referred to as WS in the United States, in Europe, the disorder is often referred to as Williams-Beuren syndrome (M orris, 2006a). There is a deletion on chromosome 7 (part of the chromosome is missing), and although it occurs as a random genetic mutation, individuals with WS have a 50% chance of passing the gene on to their children (Bellugi et al., 2007). The deletion involves the elastin gene (ELN), which is a major component of connective tissues, such as the ligaments, lungs, heart valves, and arteries, allowing them to expand and contract (Gosline et al., 2002). Approximately 80% of those with WS will have some cardiovascular anomaly, while 95% will have developmental delay (M orris, 2006b). Individuals with WS often exhibit early cardiovascular problems that may result in premature death (average life span of 50 years). Some of the more common cardiovascular difficulties include narrowing of the arteries, hypertension, and strokes (Kaplan, 2006). In one study of individuals with WS, 75% were diagnosed with a heart murmur at some point in their lives (Jones & Smith, 1975). Problems with ears and hearing include middle-ear infections (otitis media experienced by 60% of children with WS) and ear pain or hyperacusis (Kaplan, 2002), often associated with heightened sensitivities to certain sounds, often high-frequency sounds (Dykens, 2003; Einfeld, Tonge, & Florio, 1997; Van Borsel, Curfs, & Fryns, 1997). By late childhood, some children with WS will develop sensorineural hearing loss for high-frequency sounds in one ear (Johnson, Comeau, & Clarke, 2001). There are also vision problems associated with WS, such as hyperopia, which occurs in 68% of those with WS (Winter, Pankau, Amm, Gosch, & Wessel, 1996), and strabismus, which is likely in between 27% and 78% of the population (Kaplan, 2002). Infants with WS are often described as fussy and colicky, although the majority outgrow this in the first year and become much more content and happy as toddlers (Levine & Wharton, 2000). However, many children with WS have difficulty falling asleep and maintaining sleep (Einfeld et al., 1997), and they are more likely to experience “restless leg syndrome,” periodic limb movements during sleep, than peers without the disorder (Arens et al., 1998). While many with WS will exhibit developmental delays, there is a wide range of IQ scores possible within the WS population, from low average intelligence to severe intellectual disabilities. M ean IQ scores have been reported in the 55–60 range (M ervis, M orris, Bertrand, & Robinson, 1999; Udwin, Davies, & Howlin, 1996). There are excellent strengths in verbal short-term memory (Udwin & Yule, 1991), and linguistic skills are far superior to those with Down syndrome (Bellugi, Lichtenberger, Jones, Lai, & St. George, 2000); however, Singer Harris, Bellugi, Bates, Jones, and Rossen (1997) found that the superiority of skills in those with WS did not surface until after the initial accumulation of approximately 50 words. As children and adults, despite overall limitations, intellectually, they demonstrate remarkable skills in expressive vocabulary, syntax, and semantics (Bellugi, Wang, & Jernigan, 1994; Udwin & Yule, 1990). However, in individuals with WS, there are significant deficits in the visuospatial area, including tasks of visual motor integration evident in difficulty with fine motor tasks such as handwriting and copying (M ervis, Robinson, & Pani, 1999). According to Rourke et al. (2002), individuals with WS evidence processing deficits similar to those of individuals with nonverbal learning disabilities (NLDs). This is especially true for strengths in verbal skills (yet obvious weaknesses in the subtle nuances of social pragmatics) and deficits in visual spatial and visual motor integration. Often there is evidence of remarkable musical ability both in the ability to produce absolute and relative pitch (Lenhoff, 2006) and in memory for tone and lyrics, which may be related to their strong phonological memory skills (Peretz & Coltheart, 2003). In their study of social competence in individuals with WS, Rosner, Hodapp, Fidler, Sagun, and Dykens (2004) found that compared to peers diagnosed with Down syndrome or Prader–Willi syndrome, in a situation of free choice activities, those with WS tended to gravitate toward activities that included musical instruments, while they tended to avoid activities like puzzles that required visual spatial skills. Occupational problems that have been associated with adolescents and adults with WS include job interference due to distractibility, social disinhibition and overfriendliness, and anxiety (Davies, Howlin, & Udwin, 1997). In addition, deficits in visual motor skills required in many chores, such as bed making, and entry-level jobs, such as assembly line work, have also been identified as barriers to success (Dykens, Hodapp, & Finucane, 2000). Individuals with WS are characteristically overly friendly and often can be socially inappropriate and somewhat intrusive due to their trait of “social disinhibition” (Wang, 2006). Bellugi et al. (2007) describe those with WS as demonstrating a “hypersociability, including overfriendliness and heightened approachability toward others, combined with anxiety relating to new situations and objects and a difficulty forming and maintaining friendships with peers” (p. 99). The researchers suggest that although they do not see social situations as threatening, per se, their overly anxious nature may undermine their ability to successfully connect their social perceptions with their social expression, resulting in an inability to successfully engage in social encounters. Also, they seem to lack social pragmatics, such as the recognition of social group membership, which can place them at a serious disadvantage and even risk, since they enthusiastically will approach strangers and family members in the same manner. They are also prone to repetitive greetings, unaware of social conventions, and may engage in incessant greeting behavior or use forms of address that are overly familiar when greeting virtual strangers (Semel & Rosner, 2003). Although children with WS can be anxious by nature, they do not respond to threatening faces like other children do, as a result of unusually low activation levels in the amygdala, which is responsible for regulating the fear response (M eyer-Lindenberg et al., 2005). Fifty percent of individuals with WS are diagnosed with ADHD and generalized anxiety, while about 50% have specific phobias, especially fear of loud noises (Doyle, Bellugi, Korenberg, & Graham, 2004; Klein-Tasman & M ervis, 2003). Semel and Rosner (2003) identify six types of behavior problems that commonly occur in individuals with WS, including “fears and anxieties, distractibility and attentional problems, impulsivity, poor adaptability, low frustration tolerance, and atypical activity” (p. 295), evident in such behavior patterns as restlessness, fidgeting, and stereotyped movements (squirmy or engaging in repetitive motor routines), wandering, overactivity, and hyperactivity. Individuals with WS also experience problems in regulating their emotions, which can result in heightened responses and inflated emotional reactions to unexpected sights, sounds, or tactile stimulation. Semel and Rosner (2003) suggest that inherent to their behavior problems are tendencies toward high reactivity in the presence of low self-regulation. Intervention Programs M edical management is an important component of planning and programming for children with WS. Kaplan (2006) suggests that “optimal medical, educational, and community support can help the child with WS lead a fulfilling life” (p. 83). Physicians can consult the guidelines for managing WS produced by the American Academy of Pediatrics (2001), while parents can also consult specialists in multidisciplinary clinics that have been established throughout the United States for the treatment of WS. The multidisciplinary team servicing the WS clinic would have personnel with expertise in areas such as cardiology, genetics, developmental pediatrics, behavioral pediatrics, psychiatry, pediatric psychology, and neurology, as well as access to physical, occupational, and speech therapies. According to Kaplan (2006), children should be reevaluated in the clinic every 3 years. Special education and related services would be an important aspect of the child’s programming on a day-to-day basis. Because most of the children will require assistance with academics, special education programming would be required, especially in areas that are more dependent on visual spatial analysis such as mathematics and for assistance in understanding subject material that requires higher-order processing, such as reading comprehension, solving word problems, and written expression. Related services: Physical and occupational therapy should be provided, if needed, for possible areas of support such as awkward gait, handwriting, and fine motor skills. Social skills training programs may be helpful to increase the ability to integrate social perceptions and social expression and to provide an opportunity to practice skills in an environment that minimizes anxiety. A successful cognitive behavioral intervention for reducing anxiety in children is the Coping Cat Program (Kendall, 1994). The program is suited to children 7–16 years of age and has been used to treat several forms of anxiety, including separation anxiety disorder, generalized anxiety disorder, and social anxiety disorder. The program can be administered individually or in group settings (Flannery-Schroeder & Kendall, 2000) and focuses on the development of coping skills (first eight to nine lessons) and then on practicing those skills in either imagined or in vivo (actual) conditions (last eight to nine sessions). An acronym developed for the program acts as a memory aid for highlighting the four key steps in the process: Feel frightened (recognition of physical symptoms that accompany anxiety)? Expect the worse (recognition of negative self-talk)? Attitude/actions that can help (replace negative self-talk with positive coping comments). Results and rewards (self-monitoring, evaluation, and selfreward). For adolescents and young adults with WS, concerns about completing chores and doing many entry-level jobs such as assembly line work that rely on visual spatial skills can be assisted with the ongoing support of job coaches (Dykens et al., 2000). Semel and Rosner (2003) suggest a number of interventions that can assist the behavioral problems of those with WS. They suggest that techniques that draw on strengths of individuals with WS (e.g., verbal mediation, stress reduction, environmental control) would all potentially benefit those with WS. The following is a summary of some of the techniques that have been addressed by Semel and Rosner. Fears and anxieties: In addition to methods already suggested (e.g., Kendall’s Coping Cat Program), Semel and Rosner (2003) suggest teaching verbal mediation strategies and providing reassurance, role-play, explanations, and self-instruction (selfstatements to calm in times of stress) can all assist in reducing fears and anxieties. In addition, providing a structured and predictable environment and minimizing alterations to schedules can also assist in reducing anxiety. Teaching relaxation techniques for use in the presence of behavioral methods such as systematic desensitization and imagined or in vivo practice to overcome feared situations in a step-by-step manner can also be beneficial. Learning and distractibility: Using direct instruction to focus on the task at hand and ensuring that instructions are repeated to check for errors can assist with day-to-day performance in a number of areas, academically and socially. Classroom seating: Seating close to the board and where the child can have eye contact with the teacher will assist focused performance and reduce distractibility. Seating away from major traffic routes in the classroom can also improve chances of success. Medication: To date, few studies have investigated psychopharmacology alternatives for individuals with WS for such problems as anxiety, depression, and ADHD. Kaplan (2002) suggests the following regime for individuals with WS who have ADHD and/or sleep problems: “M ethylphenidate appears to be effective for ADHD at a dosage of 0.5 mg/kg or 10 mg twice daily and Clonazepam significantly improves sleep and behavior” (p. 279). Post-Case Questions 1. Individuals with WS often meet criteria for intellectual disability. Given Brian’s assessment results and symptoms as presented in the case study, would Brian meet criteria for an intellectual disability according to the DSM -5 (APA, 2013)? Would he qualify under IDEA (2004) for special education and related services? Support your answer with specific references to the criteria (Appendix B may be helpful) and Brian’s assessment results. 2. There are several similarities and differences between individuals with WS and individuals with NLDs. Compare information from Brian’s case with that of Sandy Smith. What are the similarities and what are the differences in these two cases? 3. Children with WS are often seen as the opposite of those with autism spectrum disorders. What are the similarities and differences between the case studies of Brian and Dylan Bach? 4. As Brian’s therapist, how would you help him deal with his fear of loud noises? Develop a program that can be used in the home and in the school. 5. Using Brian’s strengths, develop a program to help him feel more successful socially. 6. Suggested individual or group presentation activities: You have been invited to provide feedback to the school regarding Brian’s assessment at a meeting where they will decide whether Brian should receive Special Education and Related Services. If it is determined that he is eligible for services, what Goals and Objectives would you want to see as part of his individualized education program? Would you recommend he receives related services, and if so, what would the nature of those services be? Prepare a script for role-playing each of the player’s parts in the school meeting, mentioned above. Who do you think should be attending the meeting? How could each participant potentially contribute information to assist with developing an intervention plan that would best meet Brian’s needs? REFERENCES American Academy of Pediatrics Committtee on Genetics. (2001). Health care supervision for children with Williams-Beuren syndrome. Pediatrics, 107, 1192–1204. American Psychiatric Association (APA). (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Arlington, VA: Author. Arens, R., Wright, B., Elliott, J., Zhao, H., Wang, P. P., Brown, L. W., et al. (1998). Periodic limb movements in sleep in children with Williams syndrome. Journal of Pediatrics, 133, 670–674. Belllugi, U., Lichtenberger, L., Jones, W., Lai, Z., & St. George, M . (2000). The neurocognitive profile of Williams syndrome: A complex pattern of strengths and weaknesses. Journal of Cognitive Neuroscience, 12(Suppl. 1), 7–29. Bellugi, U., Jarvinen-Pasley, A., Doyle, T., Reilly, J., Reiss, A., & Korenberg, J. (2007). Affect, social behavior and the brain in Williams syndrome. Current Directions in Psychological Science, 10, 99–104. Bellugi, U., Wang, P., & Jernigan, T. L. (1994). Williams syndrome: An unusual neuropsychological profile. In S. H. Browman & J. Grafram (Eds.), Atypical cognitive deficits in developmental disorders (pp. 23–56). Hillsdale, NJ: Erlbaum. Davies, M ., Howlin, P., & Udwin, O. (1997). Independence and adaptive behavior in adults with Williams syndrome. American Journal of M edical Genetics, 70, 188–195. Doyle, T. F., Bellugi, U., Korenberg, J. R., & Graham, J. (2004). “Everyone in the world is my friend”: Hypersociability in young children with Williams syndrome. American Journal of M edical Genetics, 124A, 263–273. Dykens, E. M . (2003) Anxiety, fears, and phobias in persons with Williams syndrome. Developmental Neuropsychopathology, 23, 291–316. Dykens, E. M ., Hodapp, R. M ., & Finucane, B. M . (2000). Genetics and mental retardation syndromes: A new look at behavior and interventions. Baltimore, M D: Paul H. Brookes. Einfeld, S. L., Tonge, B. J., & Florio, T. (1997). Behavioral and emotional disturbance in individuals with Williams-Beuren syndrome. American Journal of M ental Retardation, 102, 45–53. Flannery-Schroeder, E., & Kendall, P. C. (2000). Group and individual cognitive-behavioral treatments for youth with anxiety disorders: A randomized clinical trial. Cognitive Therapy and Research, 24, 251–278. Gosline, J., Lillie, M ., Carrington, E., Guerette, P., Ortlepp, C., & Savage, K. (2002). Elastic proteins: Biological roles and mechanical properties. Philosophical Transactions of the Royal Society of London, Series, B, Biological Science, 357, 121–132. Huang, L., Sadler, L., O’Riordan, M . A., & Robin, N. H. (2002). Delay in diagnosis of Williams syndrome. Clinical Pediatrics, 41(4), 257– 261. Individuals with Disabilities Education Improvement Act. (2004). Retrieved from http://idea.ed.gov Johnson, L. B., Comeau, M ., & Clarke, K. D. (2001). Hyperacusis in Williams-Beuren syndrome. Journal of Otolaryngology, 30, 90–92. Jones, K. L., & Smith, D. W. (1975). The Williams elfin faces syndrome. Journal of Pediatrics, 86, 718–723. Kaplan, P. (2002). Williams syndrome-does early diagnosis matter? Clinical Pediatrics, 41, 277–280. Kaplan, P. (2006). The medical management of children with Williams-Beuren syndrome. In C. A. M orris, H. M . Lenhoff, & P. P. Wang (Eds.), Williams-Beuren syndrome: Research, evaluation and treatment (pp. 83–106). Baltimore, M D: Johns Hopkins University Press. Kendall, P. C. (1994). Treating anxiety disorders in children: Results of a randomized clinical trial. Journal of Consulting and Clinical Psychology, 62, 100–110. Klein-Tasman, B. P., & M ervis, C. B. (2003). Distinctive personality characteristics of 8-, 9-, and 10-year-olds with Williams syndrome. Developmental Neuropsychology, 23, 269–290. Lenhoff, H. M . (2006). Absolute pitch and neuroplasticity in Williams-Beuren syndrome. In C. A. M orris, H. M . Lenhoff, & P. P. Wang (Eds.), Williams-Beuren syndrome: Research, evaluation and treatment (pp. 325–342). Baltimore, M D: Johns Hopkins University Press. Levine, K., & Wharton, R. (2000). Williams syndrome and happiness. American Journal of M ental Retardation, 105, 363– 371. M ervis, C. B., M orris, C. A., Bertrand, J., & Robinson, B. F. (1999). Williams syndrome: Findings from an integrated program of research. In H. Tager-Flushberg (Ed.), Neurodevelopmental disorders: Contributions to a new framework from the cognitive neurosciences (pp. 65–110). Cambridge, M A: M IT Press. M ervis, C. B., Robinson, B. F., & Pani, J. R. (1999). Visuospatial construction. American Journal of Human Genetics, 65, 1222– 1229. M eyer-Lindenberg, A., Hariri, A., M unoz, K., M ervin, C., M attay, V., M orris, C. A., et al. (2005). Neural correlates of genetically abnormal social cognition in Williams syndrome. Nature Neuroscience, 8, 991–993. M orris, C. A. (2006a). The dysmorphology, genetics, and natural history of Williams-Beuren syndrome. In C. A. M orris, H. M . Lenhoff, & P. P. Wang (Eds.), Williams-Beuren syndrome: Research, evaluation and treatment (pp. 3–17). Baltimore. M D: Johns Hopkins University Press. M orris, C. A. (2006b). Genotype-phenotype correlations in Williams-Beuren syndrome. In C. A. M orris, H. M . Lenhoff, & P. P. Wang (Eds.), Williams-Beuren syndrome: Research, evaluation and treatment (pp. 59–82). Baltimore, M D: Johns Hopkins University Press. Peretz, I., & Coltheart, M . (2003). M odularity of music processing. Nature Neuroscience, 6, 674–681. Rosner, B. A., Hodapp, R. M ., Fidler, D. J., Sagun, J. N., & Dykens, E. M . (2004). Social competence in persons with Prader-Willi, Williams and Down’s syndromes. Journal of Applied Research in Intellectual Disabilities, 17, 209–217. Rourke, B. P., Ahmad, S., Collins, D., Jayman-Abello, B., HaymanAbello, S., & Warriner, E. M . (2002). Child clinical/pediatric neuropsychology: Some recent advances. Annual Review of Psychology, 53, 309–339. Semel, E., &. Rosner, S. R. (2003). Understanding Williams syndrome: Behavioral patterns and interventions. M ahwah, NJ: Lawrence Erlbaum. Singer Harris, N. G., Bellugi, U., Bates, E., Jones, W., & Rossen, M . (1997). Contrasting profiles of language development in children with Williams and Down syndromes. Developmental Neuropsychology, 13, 345–370. Stromme, P., Bjornstad, P. G., & Ramstad, K. (2002). Prevalence estimation of Williams syndrome. Journal of Child Neurology, 17(4), 269–271 Udwin, O., Davies, M ., & Howlin, P. (1996). A longitudinal study of cognitive abilities and educational attainment in Williams syndrome. Developmental M edicine & Child Neurology, 38(11), 1020–1029. Udwin, O., & Yule, W. (1990). Expressive language of children with Williams syndrome. American Journal of M edical Genetics, 6, 108–114. Udwin, O., & Yule, W. (1991). A cognitive and behavioral phenotype in Williams syndrome. Journal of Clinical and Experimental Neuropsychology, 13, 232–244. Van Borsel, J., Curfs, L. M ., & Fryns, J. P. (1997). Hyperacusis in Williams-Beuren syndrome: A sample survey study. Genetic Counseling, 8, 121–126. Wang, P. P. (2006). The behavioral neuroscience of WilliamsBeuren syndrome: An overview. In C. A. M orris, H. M . Lenhoff, & P. P. Wang (Eds.), Williams-Beuren syndrome: Research, evaluation and treatment (pp. 147–158). Baltimore, M D: Johns Hopkins University Press. Winter, M ., Pankau, R., Amm, M ., Gosch, A., & Wessel, A. (1996). The spectrum of ocular features in the Williams-Beuren syndrome. Clinical Genetics, 49, 28–31. CASE 10 BRADLEY HUNTER : NOT YET DIAGNOSED NEURODEVELOPMENTAL SYMPTOMS Bradley is an African American male who is 5 years 5 months of age and enrolled in the kindergarten program at John Williams Elementary School. He is currently receiving services from the special education resource teacher under the category of Developmental Delay. He also receives speech and language therapy, as well as occupational therapy as related services. Reevaluation was requested to determine the extent of his delays currently and the nature of his learning problems. DEVELOPMENTAL HISTORY/FAMILY BACKGROUND Bradley is at risk for neurodevelopmental difficulties due to a history of prematurity and its complications. Bradley’s mother provided the following information regarding his developmental history. M other was 22 years when she was pregnant with Bradley and reported that she did not smoke or drink during the pregnancy. She was, however, involved in a car accident when she was 25 weeks pregnant and was admitted to emergency due to vaginal bleeding. Throughout the remainder of the pregnancy, there were several incidents of vaginal discharge. Bradley weighed 3 pounds at birth and was born at 28 weeks gestation. Apgar was 6 at 1 minute and 7 at 5 minutes. Bradley was placed on a ventilator for 2½ weeks after birth because he suffered from respiratory distress syndrome. A tracheotomy was performed due to upper airway obstruction, as Bradley was not getting enough oxygen. He remained in the hospital until he was discharged, 120 days after his birth. While hospitalized, he developed pneumonia several times. Two years ago, he returned to the hospital, where he had a laryngoscopy and adenoidectomy in preparation for having the tracheotomy tube removed 2 months later. Bradley’s motor and speech and language milestones have all been delayed, and Bradley did not begin walking until he was 19 months of age. When he was 26 months old, he was seen at the Infant Care Clinic for physical therapy and speech and language assessments. At that time, his expressive and receptive language score was 18 months, while global language was 16 months. Physical therapy evaluation at that time revealed that motor skills ranged from 14 months for stationary skills to 17 months for locomotion to 19 months for object manipulation. Due to the severity of his problems and pervasive delays, Bradley was seen in the Child Developmental Clinic when he was 34 months of age. At that time, the Bayley Infant Scales (Bayley-2) were administered and Bradley scored an age equivalent of 22 months, with a M ental Development Index (M DI) of 54. M other was interviewed and the Vineland Adaptive Behavior Scales were administered. Bradley scored in the following ranges: Communication SS = 64 (16 months), Daily Living SS = 67 (19 months), Socialization Skills SS = 83 (24 months), M otor Skills SS = 70 (23 months), and the Adaptive Behavior Composite SS = 65 (21 months). At 34 months of age, Bradley was in the process of being toilet trained; however, nocturnal enuresis was occurring on a nightly basis. The examiner noted that although Bradley was almost 3 years old, his mother reported that he was not yet able to drink from a cup or use a fork. He was, however, able to use a spoon and drink from a sippy cup. During the interview with the psychologist at the clinic, Bradley’s mother described him as being a highly active youngster who was impulsive and easily distracted. She also noted that he can be very stubborn and aggressive, especially with his brother, whom he often fights with. He is difficult to manage and is prone to throw temper tantrums when he cannot have his way. M other is now 27 and father is 30, and they both have some community college education. M other said that neither she nor Bradley’s father had any learning problems in school. Bradley has an older brother who is 8 years old who has significant developmental delays and receives special education services. M other and father are no longer living together, and Bradley lives with his mother, the maternal grandmother, an uncle, and his older brother. Bradley has not had any contact with his biological father since his birth. Several paternal cousins have behavior problems and attention deficit/hyperactivity disorder. A paternal aunt has an intellectual disability. REASON FOR REFERRAL It has been approximately 2 years since Bradley has had an assessment of intellectual and adaptive functioning. Having the benefit of having scores from his previous assessments will be helpful in understanding how Bradley’s skills have developed since that time. There was a question as to whether Bradley might have symptoms of a neurodevelopmental disorder, such as autism spectrum disorder (ASD), so a comprehensive assessment was conducted to provide as much information as possible to assist with future planning. ASSESSMENT RESULTS Bradley was initially observed in the regular kindergarten classroom for a 30-minute observation period. At the time, the class was engaged in determining the sequential pattern of a series of interlocking colored blocks (independent seatwork), followed by a small group interactive activity about community helpers. During the first part of this observation period, Bradley dropped a block and he bent down to pick it up until the teacher came over to see why he was not working. He then told the teacher that he could not work because the block fell on the floor. The teacher instructed him to pick up the block and continue with the sequencing task. This delay set him behind his classmates in completing the task. While he worked, he talked out loud to himself in order to guide his selections (e.g., “blue, blue, black…”) but then shortened the scheme (“blue/black … blue/black”), which resulted in completing the task incorrectly. He seemed excited about completing the task (“I did it!”) and was not discouraged when the teacher noted that it was incorrect, and he set out to fix it. Bradley seemed to be very aware of the class routines and followed the other children as they participated in snack time and tidying up. Although he did not interact with the other children, he did seem to be observing them and then would follow along and imitate what they were doing. After snack time, Bradley went to the play mat and was joined by a couple of other children. He then made some strange guttural noises and faces, which the other two boys repeated, until the teacher told the boys to stop imitating him. The final activity was matching community uniforms to community/employment roles. Bradley was the only one in the group to recognize the word “astronaut” and was very pleased to be able to dress the cut-out appropriately in the correct uniform. Although Bradley demonstrated an ability to follow predictable routines, he also revealed an inability to adapt if something unpredictable happened, such as dropping the block. Adaptive behavior deficits seemed to be most pronounced in areas of social and pragmatic concerns. The psychologist administered the Differential Ability Scales (DAS2) and Bradley obtained the following standard scores, placing his ability in the low average range: Nonverbal Reasoning Ability, SS = 87; Verbal Ability, SS = 85; and Spatial Ability, SS = 83. Overall, General Conceptual Ability was a standard score of 81 at the 10th percentile. Academically, his scores on the Young Children’s Achievement Test (YCAT) revealed standard scores above his ability level in all areas except Spoken Language (SS = 79). Other academic scores included General Information, SS = 90; Reading, SS = 100; M athematics, SS = 91; and Writing, SS = 109. Compared to his previous assessment results, Bradley had made excellent gains in his ability and academic skills. Bradley’s mother and teacher completed the rating scales for the Adaptive Behavior Assessment System (ABAS III). There was a significant difference between scores obtained on the mother’s ratings when compared to the teacher’s ratings. Scaled scores can range between 1 (very inferior) and 19 (very superior). While his mother rated him extremely low (all scores were scaled scores of 1 or 2), the teacher’s ratings were significantly higher. However, both mother and teacher rated Bradley a scale score of 1 for communication. According to his teacher, his functional academics were within the average range (scale score of 11), which is consistent with Bradley’s scores on the YCAT. However, even though his teacher rated him significantly higher than his mother, his adaptive scores were much lower than would be predicted, given his scores on the DAS-2. According to the teacher, his adaptive scores for Social were SS = 70 and Practical SS = 75, with an Overall General Adaptive Composite of SS = 70. According to his mother, these scores were significantly lower: Social, SS = 54, Practical, SS = 40, and Overall General Adaptive Composite, SS = 41. The parent and teacher completed an informal screening questionnaire concerning symptoms often associated with ASD. The following list of descriptions was endorsed as occurring sometimes or frequently, both at home and school: Social interaction: Requires specific instructions to begin task Lacks subtlety in expression of emotion Has difficulty cooperating in a group Has difficulty playing with other children Does certain things repetitively or ritualistically Has difficulty understanding when being teased Fails to predict consequences in social events Communication: Repeats or echoes words or phrases Speaks with flat affect Fails to initiate conversations Answers questions inappropriately Uses pronouns inappropriately Stereotypical behavior: Flaps hands or fingers Eats specific foods, a fussy eater Rocks back and forth while seated or standing Flaps hand or fingers in front of his face Demonstrates eccentric forms of behaviors Has abnormal focus, preoccupied with specific objects Requires extensive direction from others Is clumsy or uncoordinated Cognitive patterns: Talks about single subjects excessively Displays superior knowledge or skill in a specific area Has difficulty understanding jokes, humor, sarcasm Shows excellent memory Pragmatic skills: Has difficulty understanding slang Has difficulty understanding when being teased Has difficulty understanding when ridiculed or made fun of Has difficulty understanding what causes others to dislike him Fails to predict probable consequences to social events M other and teacher agreed that Bradley has a love of reciting the alphabet and that he has the same two books that he wants to read on a daily basis. At home, when Bradley wants something, he repeats it over and over again, if the answer is no. M other and teacher also completed the Devereux Scales of M ental Disorders. Results revealed a number of areas of concern. There is a consistent agreement between raters regarding externalizing problems, especially in areas of conduct problems. Although attentional problems are very evident at school, in the home situation, these are less pronounced. Teacher and parent agreed that the following attention problems occur at school and in the home, at least occasionally, in the form of the following behaviors: he fidgets or acts restless, becomes easily distracted, and fails to pay attention. During classroom activities, Bradley is easily distracted or preoccupied, has trouble concentrating, and fails to follow through on assignments. Other areas that have some overlap between the home and school environments include behaviors that are atypical (e.g., autism). According to parent and teacher ratings, there was a consensus that Bradley frequently or very frequently makes odd movements, facial grimaces, and noises that can be disruptive in the classroom. Post-Case Questions 1. Based on the referral information and the assessment results, what are your impressions of Bradley? Does he meet criteria for any of the diagnoses in the category of Neurodevelopmental Disorders? If so, which diagnoses? 2. If you were assessing Bradley, what other information might be valuable in developing a case formulation? What other assessments could you conduct, or what other interview information might be relevant? 3. How would you account for the significant difference between the mother’s ratings for Bradley and the teacher’s ratings on the Adaptive Behavior Assessment System? 4. Suggested individual or group presentation activities: The principal has called a parent/school meeting to discuss concerns about Bradley’s progress and his future. Assign roles to individuals who will role-play important individuals in Bradley’s life and how they would interact in this situation. Develop important questions for each of the players who can add information to the case. Some of the casting members might be Bradley’s mother, maternal grandmother, teacher, the psychologist, and any other individual that you feel might contribute to an understanding of the case and assist with developing an overall case formulation and treatment plan. You have been invited to provide feedback to the school regarding Bradley’s assessment at a meeting where they will decide whether he meets criteria for Special Education and Related Services. If it is determined that he is eligible for services, what Goals and Objectives would you want to see as part of his individualized education program? Would you recommend he receives related services, and if so, what would the nature of those services be? 3 INTRODUCTION TO DISRUPTIVE BEHAVIOR DISORDERS In the previous version of the DSM -IV-TR (APA, 2000), oppositional defiant disorder (ODD) and conduct disorder (CD) were classified under the category of “Attention-Deficit and Disruptive Behavior Disorders,” which was a subcategory of disorders under the main classification of “Disorders Usually First Diagnosed in Infancy, Childhood, or Adolescence.” Currently, ODD and CD are found under the category of “Disruptive, ImpulsiveControl, and Conduct Disorders” (DSM -5; APA, 2013). Other disorders in this category include intermittent explosive disorder, antisocial personality disorder (cross-referenced and also appearing under the category of Personality Disorders), pyromania, and kleptomania. Disorders in this category share “problems in selfcontrol of emotions and behaviors.” The DSM -5 (APA, 2013) states that although other disorders may also demonstrate problems in areas of emotion regulation, the disorders in this category are unique in the manifestation of “behaviors that violate the rights of others (e.g., aggression, destruction of property) and/or that bring the individual into significant conflict with societal norms or authority figures” (p. 461). Conceptually, the DSM -5 further subdivides problems of self-control into two major areas: emotional control and behavioral control. At one extreme, disorders of conduct evidence a significant lack of behavioral controls in a number of areas which often can result from a lack of emotional control (anger), while disorders of impulse control primarily are associated with a lack of emotional control and emotional responses that are well in excess of what would be attributed to the event or exchange that provoked the response. ODD is seen midway between these two extremes with equal tendencies to exhibit problems in areas of emotional control (irritability) and behavioral control (defiance). Developmentally, ODD has earlier onset than CD and may appear as early as the preschool years, with the average onset around 4 and 8 years of age. Although there was once considerable debate as to whether ODD and CD were unique disorders or represent a continuum of the same disorder, with ODD being the milder version of CD, research supports the retention of two separate disorders, since the age of onset for ODD is considerably earlier than CD, and the fact that the majority of children with ODD never go on to develop CD. Although ODD and CD can often be comorbid disorders and can share some of the same risk factors, the majority of children with ODD do not develop CD (Rowe, M aughan, Pickles, Costello, & Angold, 2002). However, Rowe, Costello, Angold, Copeland, and M aughan (2010) also noted that despite the similarities, there are also key differences in the outcomes of ODD and CD. In their study, using the Great Smoky M ountains Study longitudinal dataset, they found that having CD largely predicted largely behavioral outcomes, whereas ODD was more closely associated with risk for emotional disorders in early adult life. In their study of the lifetime prevalence of ODD, of over 3,000 adults, from the National Comorbidity Survey, Nock, Kazdin, Hiripi, and Kessler (2007) found that the lifetime prevalence rate for ODD was 10.2% (males = 11.2%; females = 9.2%) with over 90% (92.4%) having a comorbid disorder (mood disorder [45.8%], anxiety disorder [62.3%], impulse-control disorder [68.2%], and substance use disorder [47.2%]). In that sample, less than half also met criteria for CD (42.3%) while only a quarter met criteria for ADHD (25.0%). Nock and colleagues suggest that the high comorbidity rates found in their study are likely due to the fact that they were studying “lifetime” prevalence where the majority of studies have not measured lifetime prevalence. They also found that the most likely comorbid diagnoses were other diagnoses with early onset, such as phobias, separation anxiety disorder, and ADHD. The average duration of ODD was 6 years, remitting at 18 years of age with earlier onset associated with increased risk of developing other disorders, later in life. Although it was once thought that ODD was specific to childhood, more recent research has suggested that the disorder may have more longevity than previously thought with evidence of symptoms persisting into young adulthood, evident as late as 25 years of age (Biederman et al., 2008; Harpold et al., 2007; Nock et al., 2007). Comorbidity rates for ODD and ADHD have been reported to be as high as 65% in some studies (Biederman et al., 1996; Petty et al., 2009) with 30% of those with this combination persisting into adulthood (Harpold et al., 2007). In addition to evidence of a pervasive pattern of “angry/irritable mood, argumentative/defiant, or vindictiveness” lasting for at least 6 months, the DSM -5 (APA, 2013) criteria for ODD require four additional symptoms evident in one of the three symptom clusters: angry/irritable mood (temper, touchy, angry/resentful); argumentative/defiant behavior (arguments with authority figures, compliance refusals, annoys, blames); and vindictiveness (spiteful, vindictive at least twice in last 6 months). The DSM -5 suggests that depending on the extent to which symptoms are clustered around “angry/irritable mood” or “defiant and vindictive” traits might predict whether a child is at risk for developing internalizing disorders (the former cluster) or CD (the latter presentation). The DSM -5 provides guidelines for decision-making regarding the frequency of behaviors relative to normal development for children younger than 5 years of age (most days in past 6 months) or older than 5 years of age (weekly occurrence, past 6 months). In addition, specifiers are available to indicate the severity of the disorder from mild (one setting), moderate (two settings), or severe indicators (three or more settings). CD is also recognized as a persistent pattern of behavior, but one that focuses on the violation of the rights of others or societal norms. Three symptoms are required from a list of 15 possible symptoms clustered into four themes: aggression to people or animals (bullies, physical fights, weapon use, physical cruelty to humans, physical cruelty to animals, theft while confronting, forced sexual activity); destruction of property (fire setting, vandalism), deceitfulness or theft (break and enter, lies or cons, shoplifting/forgery); and serious violations of rules (out all night prior to 13 years, run away, truant prior to 13 years) (APA, 2013, pp. 469–470). Specifiers are available for CD to provide additional information in three different areas (onset, limitation in prosocial emotions, and severity): Onset: One of the three onset categories can be specified (childhood-onset, one symptom prior to 10 years; adolescentonset, no symptoms prior to 10 years; unspecified-onset, unknown). Limited prosocial emotions: This specifier was added to reflect recent research in the area of callous and unemotional characteristics (CU) that are evident in some youth with CD. Studies have demonstrated that individuals with CU traits do not recognize emotions in others; exhibit less physiological response to emotional cues; and are more likely to demonstrate proactive aggressive patterns and have a family history of antisocial personality disorder (Hubbard, Smithmyer, & Ramsden, 2002). This specifier is used if youth demonstrate persistent characteristics in two of the following areas for the past 12 months: Lack of remorse/guilt Callous/lack of empathy Lack of concern about performance Shallow/lack of affect (DSM -5; APA, 2013, pp. 470–471). Severity: M ild, moderate, and severe specifiers are used to denote the degree to which symptoms are present. Children who demonstrate earlier onset have the poorer prognosis; they are more likely to be male and tend to display more aggression and have an increased risk for developing CD. M any individuals with CD also exhibit comorbid disorders of impulse control, ADHD, and ODD. Other disorders that may be comorbid with a diagnosis of CD include specific learning disorder, anxiety disorders, depression and bipolar disorders, and substance use disorders (APA, 2013). REFERENCES American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders-IV-TR. Arlington, VA: Author. American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders-5. Arlington, VA: Author. Biederman, J., Faraone, S. V., M ilberger, S., Carcia Jetton, J., Chen, J., & M ick, E. (1996). Is childhood oppositional defiant disorder a precursor to adolescent conduct disorder? Findings from a fouryear follow-up study of children with ADHD. Journal of the American Academy of Child and Adolescent Psychiatry, 35, 1193–1204. Biederman, J., Perry, C. R., Dolan, C., Hughes, S., M ick, E., & M ontuteauz, M . C. (2008). The long-term longitudinal course of oppositional defiant disorder and conduct disorder in ADHD boys: Findings from a controlled 10-year prospective longitudinal follow-up study. Psychological M edicine, 38, 1027–1036. Harpold, T., Biederman, J., Gignac, M ., Hamamerness, P., Surman, C., & Potter, A. (2007). Is oppositional defiant disorder a meaningful diagnosis in adults? Results from a large sample of adults with ADHD. Journal of Nervous and M ental Disease, 195, 601–605. Hubbard, J. A., Smithmyer, C. M ., & Ransden, S. R. (2002). Observational, physiological and self-report measures of children’s anger: Relations to reactive versus proactive aggression. Child Development, 73, 1101–1118. Nock, M . K., Kazdin, A. E., Hiripi, E., & Kessler, R. C. (2007). Lifetime prevalence, correlates, and persistence of oppositional defiant disorder: Results from the National Comorbidity Survey Replication. Journal of Child Psychology and Psychiatry, 48(7), 703–713. Petty, C. R., M onteaux, M ., M ick, E., Hughes, S., Small, J., & Faraone, S. V. (2009). Parsing the familiality of oppositional defiant disorder from that of conduct disorder: A familial risk analysis. Journal of Psychiatric Research, 43, 345–352. Rowe, R., Costello, E. J., Angold, A., Copeland, W. E., & M aughan, B. (2010). Developmental pathways in oppositional defiant disorder and conduct disorder. Journal of Abnormal Psychology, 119(4), 726–738. Rowe, R., M aughan, B., Pickles, A., Costello, E. J., & Angold, A. (2002). The relationship between DSM ‐IV oppositional defiant disorder and conduct disorder: Findings from the Great Smoky M ountains Study. Journal of Child Psychology and Psychiatry, 43(3), 365–373. CASE 11 SCOTT MICHAELS : BOYS WILL BE BOYS? OPPOSITIONAL DEFIANT DISORDER; ADHD Scott came to the intake interview accompanied by his mother, Ruth. Scott is 9 years old and is currently in Grade 4 at Second Street School, which he has attended since his earliest enrollment in kindergarten. According to Ruth, the presenting concerns are twofold: academic problems at school and behavior problems at home. DEVELOPMENTAL HISTORY/FAMILY BACKGROUND Ruth described the birth history as uneventful. Scott was born 2 days early and weighed 8 pounds 4 ounces. Developmental milestones were mildly delayed, and Scott walked at 15 months. Scott was slow to speak and did not use simple phrases at 3 years. Speech problems continued, and Scott received assistance for problems with articulation and speech production in prekindergarten and kindergarten. Scott was described as an active infant who was not content to take long naps. Sleeping was not a problem, however, since he seemed to need his rest after all the activity. There was a problem with bed-wetting until Scott was 6 years old. The problem was resolved when they stopped allowing Scott to have apple juice before bedtime. As a toddler, Scott seemed to be more demanding than all of Ruth’s other children put together. Scott was not content to stay in the playpen like his other siblings. He would often scream and have tantrums until Ruth took him out of the playpen. However, when he was out of the playpen, he seemed to be into everything. Scott was very easily frustrated and difficult to calm down, especially if he could not have his way. At first, Ruth said she could distract him by offering something else, but that usually did not last very long. Ruth added that for Scott the “terrible twos” never went away, but just got worse with each passing year. Ruth recalled one incident that occurred shortly after Scott’s sixth birthday. On this occasion, Ruth had asked Scott to help her pick up some toys that his brother Brian (age 4) and sister Tia (age 2) had scattered. All of a sudden, Scott started grabbing toys out of their hands and throwing them at Tia and Brian. Then he went over to his toy box and dumped the entire toy box all over the floor. The event made such a lasting impression on Ruth that since that time she has not asked Scott to help her with cleaning up. Scott’s academic difficulties became evident early in his schooling, and Ruth was contacted by the teacher diagnostician, who recommended that Scott have his vision and hearing tested to rule out any physical reasons for Scott’s learning problems. Although Scott’s vision was normal, testing of central auditory processing (CAP) revealed a selective attention deficit in the left ear, problems tuning in to auditory information, and likely difficulties with visual tracking. Recommendations from the CAP assessment were to present information to the dominant right ear, cue prior to presenting information, and provide assistance in copying information from the board. Ruth stated that she had asked her family physician for a referral to have Scott tested for learning problems; however, when she took Scott to the appointment (about a year ago), she was told that testing was not necessary because Scott did not have any “developmental” problems. Ruth could not elaborate further on the nature of the therapist’s expertise. Ruth outlined the following family history during the course of the intake interview. There is a history of depression (maternal grandmother) and alcohol abuse (maternal grandfather) in Ruth’s family. Ruth’s father was incarcerated several times for assault resulting from fights in local bars. Ruth’s only brother, Jacob, was bright but did poorly in school. Jacob seemed to fall in with the wrong crowd and dropped out in Grade 9. He spent some time in juvenile detention for breaking and entering, but eventually got back on track when he joined the armed forces, where he received training as a mechanic. Ruth’s husband Eric knows very little about his own family history, since he was adopted as an infant. Eric’s adoptive parents were killed in a car accident shortly after Ruth and Eric were married. Eric has no known siblings. Ruth liked school and graduated from high school prior to getting married to Eric. Eric did not do well in school, and he did not complete high school. He currently works at a local box-making factory. Ruth worked as a grocery clerk at the local supermarket after graduation, until the birth of her daughter when she was 20. Ruth has not returned to work since that time. Ruth admitted that they have had financial problems recently, since the money from her husband’s inheritance has been exhausted. Although she was never diagnosed with depression, Ruth does admit to feeling overwhelmed and exhausted much of the time, especially since the birth of Tia. Ruth is considering returning to work now that Tia is in school, but she is afraid of what the consequences will be for Scott’s behavior. Ruth recalled recently going to a shower for a neighborhood friend and returning home to find the kitchen an absolute mess. Apparently, Scott had deliberately messed up the kitchen in her absence because he was upset that she was not there to make his lunch. When asked why he had messed up the kitchen, Scott said that it was his mother’s fault. If she had been home, it would not have happened. When asked how he would feel about his mom returning to work, Scott said that it would be unfair, and that moms should be home for their kids. Ruth described Scott’s relationship with his siblings in the following way. Scott gets along with his youngest sister, Tia (5 years), the best, while his relationship with his older sister, Christine (11 years), is the most problematic. She added that Scott often responds to Christine in the same way he responds to his mother. When asked to clarify what she meant, Ruth replied that whenever Christine wants Scott to help her with dinner or the dishes, he starts a huge argument. It always ends the same way, with Scott saying that “it’s unfair” and that he has to do all the work, or it’s not his turn. Finally, Christine ends up just doing it herself, rather than argue with Scott. His relationship with his younger brother Brian (7 years) is less predictable. When Scott wants to play with Brian and Brian goes along with him, they have a great time. However, when Brian does not want to follow Scott’s lead, Scott loses his temper very quickly. REASON FOR REFERRAL When asked what brought her and Scott to the clinic at this time, Ruth stated that Scott had become progressively more difficult to manage. He walks around with a “chip on his shoulder” and responds to even the smallest requests with an inflated emotional response. The outbursts have increased in frequency and intensity. Ruth admitted that she is beginning to “lose it” more frequently, herself. According to Scott, his mother is always picking on him and asking him to do things, like chores, that his brother and sisters should be doing. He added that he only gets mad when his mother is “not fair.” Scott’s school reports have noted increasing difficulties, especially in reading comprehension. Scott struggles with retaining the sequential order of information and has problems recalling information he has read. He is slow to copy information from the board and his notes are not only messy but also often incomplete. Scott is receiving approximately 30 minutes of resource help daily to focus on reading, spelling, and written work. His teacher is very supportive of an assessment for Scott to provide specific information to assist with programming. The teacher noted that although behavioral problems are not significant at school, Scott does have some difficulty accepting criticism and waiting his turn. The teacher has also noted, on more than one occasion, that Scott will complain that the teacher has not been fair. Homework assignments are often incomplete or not returned, despite attempts to set up a homeschool communication system. Socially, he is not well liked by peers, because he tends to want to be in control and often interrupts or intrudes on others. Problems waiting his turn are also evident on the playground, and Scott has to constantly be reminded to give others a chance to talk. Scott was asked to comment on his feelings about school. Scott said that the kids were all right, but that some of the teachers were not so great. When asked what he liked best about school, Scott rolled his eyes back and said “Recess.” Scott became defensive when questioned about academics and said that he could do better if the teacher did not pick on him. He also said that the teacher is always busy with other students and does not have the time to answer his questions. He says he has to sit and wait until the teacher finally gets around to his question and that is why he does not get his work done. According to Scott, the resource room teacher is also too busy with other kids to help him. Scott added that if the teacher would explain schoolwork better, he would be able to understand it better. He described his teacher as unfair in the amount of work she expected students to do. Outside of school, Scott said he really likes playing hockey and that he probably would drive race cars, like NASCAR, when he was older. He said he would not go to school if he did not have to. Ruth began to describe the current home situation by saying that Scott is a good-natured boy when things are going his way. However, he can be very difficult to manage when asked to comply with any requests that interfere with his own agenda. Ruth has tried various incentive programs (such as using the purchase of a new bike as a reward for completing his homework for a week); however, after receiving his incentive, Scott loses all motivation and things go right back to where they began. She described it as a tug of war to get him to do anything. Attempts to set up a communication system with the school have been undermined by Scott’s forgetfulness to bring messages home. At times, when asked to do something, Scott will be very touchy, talk back to her, and begin yelling and complaining that it is unfair and comparing himself to his sister who he says has no responsibilities around the house. At the worst of times, tantrums will escalate into a shouting match that involves throwing things and yelling. During these times, Ruth admits to “losing it” and producing numerous threats and ultimatums. M ore often than not, these scenarios end with Ruth completing the tasks herself, just to stop the battle. At the best of times, Scott will not be confrontational, though he will still avoid doing tasks by either passively ignoring the requests or trying to buy time, saying he will do it later (when a TV program is finished, or when he finishes what he is working on, etc.). Ruth stated that sometimes it just seems easier to do it herself than to nag and hound Scott. Scott seems to be in constant motion, and he has a hard time even sitting down for dinner. He becomes very restless and squirmy when he is asked to remain seated, and often his leg is in motion while he is sitting down. Scott’s relationship with his older sister is very poor, since Scott is often jealous and resentful of any attention that she receives. Yesterday, when Christine asked him to turn down the volume on the television because she was on the telephone, Scott deliberately turned the volume up to the absolutely loudest notch. Ruth seemed notably depressed in her admission that it is getting to the point that everyone at home is afraid to ask Scott to do anything for fear of retaliation. When asked about her husband Eric’s role in the management of Scott’s behaviors, Ruth stated that her husband often works the 4:00–11:00 p.m. shift and is not home when Scott has his behavioral outbursts. Although Eric tries to be supportive of her, he has said that he thinks Ruth is making too much out of Scott’s behavior. He says that he was like Scott when he was a kid. After all, he says, “Boys will be boys.” When Eric and Scott do things together, like fishing, there are rarely any outbursts. Ruth is very hopeful that the assessment will not only provide help for her to manage Scott’s behavior at home but perhaps also help convince her husband that Scott is in need of some kind of management program. Right now, Eric is of the opinion that Scott will just grow out of it. At the completion of the intake interview, Ruth admitted in confidence to the psychologist that she was feeling increasingly overwhelmed, distraught, and alone. Her husband seemed to be withdrawing from the family and was coming home from work later and later, often stopping in at the local sports bar before returning home. There were many arguments about money and Ruth’s desire to return to work, since her husband was not in favor of her working. Ruth was feeling less and less capable of managing Scott’s escalating problems. At Ruth’s request, a referral was provided to a therapist for her to obtain supportive therapy. ASSESSMENT RESULTS The actual raw scores for Scott’s assessment are available in Appendix A. The following is a summary of those findings. Guidelines to the interpretation of standard scores and T scores, as well as information regarding specific assessment instruments used in this text and other assessment resources can be found in Appendix C. Examiner comments noted frequent requests for repetition throughout the assessment, word-finding problems, and tendencies toward word substitutions (e.g., using “found” instead of “lost”). Overall intellectual functioning on the Weschler Intelligence Scale for Children (WISC-V) was within the low average to average range (IQ = 88; range 83–93), with no significant discrepancy between scores among the various Indexes. The Working M emory Index (WM I) was an area of relative weakness (WM I = 80; range 74–89), and Scott experienced significant difficulties understanding the instructions to sequencing tasks, especially for picture span which asked that he remember the pictures “in order” of presentation. On the Verbal Comprehension Index, Scott’s responses to the comprehension subtest revealed that as the questions became more complex, Scott asked for several repetitions of the questions and asked for further explanations, which are not permitted, according to the manual. Academically, according to the Wechsler Individual Achievement Test (WIAT-III), Scott was functioning commensurate with his intellectual level in most areas assessed (standard scores ranged from highs of 100 for math computation and 95 in Reading Fluency to lows of 80 for reading comprehension). Although the two lowest scores were below his full scale IQ of 88, the discrepancy of 9 points (88–79) was not significant. (In Scott’s school district, a discrepancy between IQ and achievement must be in excess of one and a half standard deviations, which requires a discrepancy of at least 22 points. For further information on applications of the discrepancy criteria, please see Appendix B: Specific Learning Disorders and the Discrepancy M odel.) Analysis of cognitive processing revealed that academic difficulties are largely due to problems in cognitive fluency (SS = 67). Scott required more than the anticipated time to label common objects and to perform tasks that required him to recall names for “as many” (friends, foods, etc.) that he could name in 1 minute. In this task, after naming two or three objects, or names, Scott would either go blank or repeat names he had already given. Response to parent ratings scales (ASEBA) revealed borderline clinical elevations on Withdrawn/Depressed and Total Internalizing Behaviors and significant clinical elevations on Attention Problems, Aggressive Behavior, Total Externalizing, and Total Problems. Teacher ratings noted clinical elevations for Social Problems and Attention Problems. While his mother’s comments pertained to aggressive behaviors in the home (e.g., argues, brags, is mean, is stubborn, disobeys, etc.), his teacher noted many problems in the classroom (e.g., acts young, fails to finish, poor schoolwork, does not listen, etc.) and with classmates (does not get along, is not well liked, prefers younger kids). On the Conners scales, Scott’s mother rated Scott’s Hyperactivity/Impulsivity (DSM scales) as in the borderline clinical range. Oppositional behaviors and the emotional lability scale of the Global Index were both within the clinically significant range. Scott’s teacher rated him as borderline clinical for Social Problems and in the clinically significant range for Cognitive Problems/Inattention, Inattentive scale (DSM), HyperactiveImpulsive scale (DSM), and the DSM Total scale. Scott endorsed items at the borderline clinical level on the Beck Youth Inventory (BYI-2) for Disruptive Behaviors (SS = 68; 94th percentile) and in the highly significant clinical range for the Anger Inventory (SS = 86; 99th percentile). CURRENT ISSUES, TRENDS, AND TREATMENT ALTERNATIVES Oppositional defiant disorder (ODD) and attention deficit/hyperactivity disorder (ADHD) are two of the most common childhood disorders with each of the disorders having a prevalence rate of approximately 10% of children referred for mental health support (Nock, Kazdin, Hiripi, & Kessler, 2007). The transition from normal behavior demonstrated in what has been called the “terrible twos” to ODD behavior is evident in the frequency and intensity of noncompliant behaviors that continue to persist well beyond the toddler period (Gabel, 1997). Comorbidity rates for ADHD and ODD are very high with one-third to one-half of children diagnosed with one disorder also receiving a diagnosis for the other disorder (Nock et al., 2007; Waschbusch, 2002). Although the impact of having either ADHD or ODD alone can cause significant disruption at home, school, and in social interactions, the risk for poor outcomes is multiplied for individuals who have both disorders (Waschbusch, 2002). Burns and Walsh (2002) investigated the co-occurrence of these two disorders with respect to the type of ADHD exhibited and found that it was the hyperactive/impulsive component of ADHD that was associated with the development of ODD behavior. According to Boden, Fergusson, and Horwood (2010), children who demonstrated early symptoms of ADHD were at increased risk for developing argumentative/defiant behaviors. They suggest that the reason that ADHD and anger/irritability tend to overlap is because these characteristics tend to be evident in family histories of individuals with ADHD and ODD. One of the difficulties with isolating risk factors specific to ODD is that many studies have examined “behavior disorders” or “disruptive behavior disorders,” which combine populations of children and youth with ODD and conduct disorder (CD). As a result, far less is known about the specific risks for children with ODD or long-term prognosis for children who demonstrate both ODD and ADHD, despite very high rates of comorbidity of these two disorders (Biederman et al., 1996; Kadesjo & Gillberg, 2001; Petty et al., 2009). A more recent investigation has suggested that comorbid ADHD and ODD may represent a distinct familial subtype and, furthermore, that antisocial, mood, anxiety, and addictive disorders found in relatives were related to risk for CD and not ODD when the two groups are separated out. Based on these findings, Petty et al. (2009) suggest further support for considering ODD and CD as separate and distinct entities (Biederman et al., 1996; Greene et al., 2002), which they hope will deter “lumping” CD and ODD together in future clinical studies. Biederman et al. (2008) investigated the long-term outcomes for children who are diagnosed with comorbid ODD and ADHD. Their results suggest that youth with comorbid ADHD and ODD demonstrated higher scores on the CBCL “Aggressive Behavior” scale compared to those with ADHD alone. Youth with ODD at 10year follow-up were at increased risk for major depressive disorder (M DD) compared to controls. Longitudinally, the majority of youth with comorbid ODD and ADHD demonstrate a decline in ODD symptoms with age (Biederman et al., 2008; Whittinger, Langley, Fowler, Thomas, & Thapar, 2007). Although some youth with ODD will later progress to CD (Rowe, M aughan, Pickles, Costello, & Angold, 2002; Whittinger et al., 2007), results suggest that the majority of subjects with ADHD and comorbid ODD will not develop CD (Biederman et al., 1996, 2008). Results of a recent longitudinal investigation suggest that by 25 years of age, ODD was persistent in 16.6% of the ODD group (Biederman et al., 2008), although Harpold et al. (2007) found that of referred adults with ADHD who had ODD in childhood, 30% continued to demonstrate symptoms of ODD into adulthood. Risk factors that have been associated with ODD include attachment problems noted in insecure attachment (DeKlyen, 1996) and anxious avoidant attachment patterns (Erickson, Sroufe, & Egeland, 1985); difficult temperament (Rey, 1993); and parenting style and level of parental involvement (Frick et al., 1993). One of the difficulties in locating evidence-based treatments specifically for ODD is that despite evidence of the existence of ODD and CD as two distinct disorders (Biederman et al., 2008; Frick et al., 1993), treatments are often discussed relative to the broader category of “Disruptive Behavior Disorders,” which include both ODD and CD. As noted previously, although research has generally grouped ODD with CD and other disorders characterized by disruptive behavior, ODD is a disorder of emotional dysregulation (Cavanagh, Quinn, Duncan, Graham, & Balbuena, 2017), which is reflected in affective symptoms of irritability and anger (APA, 2013) and often shares significant comorbidity with mood and anxiety disorders (Boylan, Vaillancourt, Boyle, & Szatmari, 2007; Nock et al., 2007). As will be discussed in Case #19, the case of M atthew M organ, it has been speculated by Lochman et al. (2015) that increasing rates of bipolar disorder diagnosis in children could reflect diagnostic confusion regarding the presence of bipolar disorder among children in view of the more severe symptoms of emotional dysregulation which may exist in some children who should more appropriately be diagnosed as having ODD. As a result, the DSM-5 (APA, 2013) has added a new and highly controversial diagnostic category, disruptive mood dysregulation disorder (DMDD), for children who demonstrate severe recurrent temper outbursts (three or more times per week), with persistently irritable/angry mood nearly every day between outbursts, which occur across settings (at least two out of three settings). However, the diagnosis cannot coexist with ODD. Recently, in their study of a sample from the general population, M ayes, Waxmonsky, Calhoun, and Bixler (2016) noted the controversial nature of the diagnosis of DM DD, given that DM DD could not be differentiated from ODD based on symptomatology. In their study, 92% of children with DM DD symptoms also met criteria for ODD, and 66% of children with ODD presented with symptoms of DM DD, suggesting that although it is unlikely for individuals to have DM DD symptoms without ODD, ODD can occur without DM DD symptoms. The fact the DSM-5 does not allow for a mixed diagnosis makes the diagnosis of DM DD very controversial. M ore recent trends have seen ODD conceptualized more as a disorder of emotion regulation, rather than a disruptive behavior disorder. Within this context, emotion dysregulation is seen as affective lability evidenced in a lack of temper control and emotional overreaction (Reimherr et al., 2005). Cavanagh et al. (2017) note that conceptualizing ODD as a disorder of emotion regulation is consistent with findings that deficient regulation of emotions is the pervasive factor across many childhood disorders, such as ADHD and ODD (Ambrosini, Bennett, & Elia, 2013; Stringaris, Cohen, Pine, & Leibenluft, 2009). In their evaluation of affective and behavioral components of ODD, Stringaris and Goodman (2009) suggest three possible factors inherent in ODD: irritable (i.e., temper outbursts, easily annoyed, angry/resentful), headstrong (i.e., argued with grown-ups, rule violations, purposefully annoyed others, blamed others), and hurtful (i.e., been spiteful/vindictive). Developmentally, Stringaris and Goodman (2009) found the following developmental outcomes: at 16 years of age, irritable was associated with depression while headstrong was associated with problems of conduct and callous attitude. Hurtful was not associated with any outcomes at this age. Nock et al. (2007) studied the lifetime prevalence rates for ODD in a large adult population and found that 92.4% of individuals who met criteria for ODD also met criteria for another disorder, including mood disorders (45.8%), anxiety disorders (62.3%), impulse control disorders (68.2%), substance use disorders (47.2%), CD (42.3%), or ADHD (25.0%). Steiner and Remsing (2007) discuss practice parameters in the treatment of children with ODD and state that based on the complex etiology of the disorder, involving biological/genetic, psychological, and environmental/social factors, multimodal treatment is recommended, involving “individual and family psychotherapeutic approaches, medication, and sociotherapy” (p. 126). Steiner and Remsing (2007) recommend a number of important factors to include when building a treatment plan for children with ODD, based on a thorough case formulation, including the following: 1. Delineate whether this is truly ODD or a simple adjustment reaction; 2. Determine whether this is still ODD or if symptoms have progressed to CD; 3. Target domains that are currently dysfunctional; 4. Incorporate appropriate parent management training (PM T) (contingency management methods) to assist them in better coping with disruptive behavior. As part of the PMT program, Steiner and Remsing (2007) suggest the following key aspects to focus on (p. 139): 1. Reduce positive reinforcement of disruptive behavior. 2. Increase reinforcement of prosocial and compliant behavior. Positive reinforcement varies widely, but parental attention is predominant. Punishment usually consists of a form of time out, loss of tokens, and/or loss of privileges. 3. Apply consequences and/or punishment for disruptive behavior. 4. M ake parental response predictable, contingent, and immediate (p. 139). The interventions mentioned above have been proven effective in both community and clinical samples (Connor, 2002) and are based on the coercion model, with its roots in social learning theory and addresses how negative communication between the parent and child is reinforced by a parent giving in to the child’s demands. M ore recently, studies have examined the use of PM T in comorbid populations to determine the extent to which these strategies would be successful for children with ODD who also had a comorbid disorder and have found that PM T resulted in significantly reducing problem behaviors in children with ODD and comorbid ADHD (Hartman, Stage, & Webster-Stratton, 2003; Kazdin & Whitley, 2006), while Costin and Chambers (2007) found that PM T was successful regardless of the comorbidity with ODD across three different groupings of primary school children (ODD alone; ODD/ADHD; ODD/ADHD/Affective Problems). Furthermore, the Costin and Chambers (2007) study demonstrated that an 8session PM T program could be delivered in a public health setting and that results remained stable on 5-month follow-up. Other programs that have been found to be effective in the treatment of problems associated with ODD include the following: Problem-Solving Skills Training (PSST; Kazdin, 1996) A typical problem-solving intervention to teach children how to approach a problem in a logical and predictable fashion, using a sixstep procedure, includes the following: 1. Define the problem 2. Identify the goal 3. Generate options 4. Evaluate options 5. Choose the best option 6. Evaluate the outcome Children are taught how to apply this approach to social problems in a number of ways, including role-playing, social reinforcement, and therapeutic games. The Problem-Solving Skills Training (PSST) procedure is administered individually over 20 sessions, each lasting approximately 45 minutes. Coping Power (Larson & Lochman, 2002) This anger control program has evolved from an original 12-session school-based program called Anger Coping (Lochman, Lampron, Gemmer, & Harris, 1989) to a 33-session program called Coping Power (Lochman & Wells, 1996), with sessions for a parent group recently added. Children develop skills in anger management through in vivo practice sessions (weekly groups of six children) using problem-solving techniques to address specific goals and objectives in social situations. Children are also taught to be aware of feelings and physiological states associated with anger arousal. In their research review, Brestan and Eyberg (1998) found that the majority of interventions involved direct contact with the child and/or the child’s parent (usually mother) and usually were based on cognitive behavioral techniques. In their summation, the authors conclude that age may be the overarching variable that determines the effectiveness of the outcome of treatment: parent training programs would be more effective for younger children, while cognitive behavioral methods may be more applicable for older, school-aged populations. There is evidence to suggest, however, that for some groups (Kazdin, 1996), combining PSST and parent training may be more effective than either treatment alone. Collaborative Problem Solving (Greene, 2001; Greene and colleagues, 2003, 2004) Since many children with ODD also experience ADHD, Greene (2001) and colleagues (Greene, Ablon, & Goring, 2003; Greene, Ablon, Goring, Fazio, & M orse, 2004) have developed a program that focuses on deficits in cognitive skills involved in “executive functions” such as working memory, self-regulation (emotion regulation, frustration tolerance, and regulation of arousal to engage in goal-directed activity), shifting of cognitive set (flexibility and transfer of rules and expectations from one situation to another), and problem-solving (organization of information and generating a plan of action). The program, Collaborative Problem Solving (CPS; Greene, 2001; Greene et al., 2004), focuses on parent education (underlying parent/child dynamics) and interventions aimed at deficits in executive functions. M any children diagnosed with mood disorders (Geller & Luby, 1997) and anxiety disorders (Greene et al., 2002) also have comorbid ODD. In one study, 70% of youth with M DD, 85% of those with bipolar disorder, and 45% of those with an anxiety disorder had comorbid ODD (Greene et al., 2002). In addition, language processing problems are also prevalent, with over 20% of youth diagnosed with ODD also demonstrating processing problems that can compromise problem-solving in academic as well as social situations. Previous research by Dodge and colleagues (Dodge, Price, Bachorowski, & Newman, 1990) demonstrated that some children act aggressively when they misread social cues based on cognitive distortions such as the hostile attribution bias (e.g., child interprets an ambivalent facial expression or provocation as hostile and responds aggressively as a result). In order to address these processing issues, Green and colleagues incorporate tasks of social cognitive processing in their program to assist children in developing increased ability to analyze social situations, develop alternative responses, and monitor outcomes. The program also focuses on parent–child compatibility by helping parents understand the processing difficulties, the need for providing consistent patterns of discipline, and the need for increased monitoring and feedback. The program has been very successful. ACADEMIC INTERVENTIONS An empirical review of specific programming remediation for difficulties in reading and written expression reveals the following information. The importance of developing good reading skills at an early age is of paramount importance, not only to a child’s sense of self-esteem and academic accomplishment but also due to the escalating impact that reading has on the child’s subsequent acquisition of vocabulary and information acquired through reading. M any years ago, Stanovich (1986, 2000) coined the phrase “Matthew Effects” to refer to the ever-widening gap that develops between good and poor readers as those who struggle with reading increasingly avoid tasks involving reading, while those who are good readers gravitate toward seeking out additional opportunities to read. As a result, good readers continue to develop skills in reading fluency and comprehension evident in increased acquisition of vocabulary knowledge and general information obtained through the written word, while poor readers demonstrate poor reading fluency and comprehension, as well as significantly weaker vocabulary development and a dearth of acquired information. To this end, Quirk and Schwanenflugel (2004) discuss the importance of increasing the motivation to read in children who are poor readers. According to Quirk and Schwanenflugel (2004), the three most important aspects of motivation for reading that should be integrated in remedial reading programs include improving reading self-efficacy; making internal and controllable outcome attributions for successes and failures associated with reading; and establishing personally relevant value in becoming a better reader (p. 1). The importance of developing phonological awareness for reading acquisition and spelling has been demonstrated by several researchers (see Kuhn & Stahl, 2003, for a review). Strategies that focus on improving phonics, such as the Fernald Keller approach, often rely on multisensory and multimodal strategies that can be helpful in assisting children like Scott in developing greater phonetic awareness. Given Scott’s learning profile, the following specific strategies may be helpful. A repeated readings approach (Kuhn & Stahl, 2003) may be helpful in targeting difficulties in decoding (sight word vocabulary, fluency) and comprehension and to enhance Scott’s attention to task as well as independent work habits. Cognitive approaches to spelling, such as the 12 plus 1 strategies for remediation of misspellings (M ontgomery, 1990), would also be very helpful in emphasizing the phonetic as well as rule-based aspects of spelling. PHAST (Phonological and Strategy Training) is a program developed by Lovett and colleagues that incorporates many different strategies for children to use in order to develop independent reading skills (Lovett, Lacerenza, & Borden, 2000b; Lovett, Lacerenza, Borden, Frijters, Steinbach, & De Palma, 2000a). Initially, children learn how to apply strategies to assist in increased phonological awareness and skill development in sound letter association which will eventually result in developing a repertoire of “metacognitive strategy–based methods.” Children are taught four different word identification strategies (WIST), including “word identification by analogy; seeking part of a word you know; attempting various vowel pronunciation; and “peeling off” prefixes and suffixes” (p. 463). To assist with compliance issues regarding homework submission and reducing home conflict regarding homework completion, a homework management program would be helpful to increase productivity (percentage of homework completed) and accuracy (percentage completed correctly) of homework, using a combination of home-note, self-monitoring, and group contingency approaches based on the Good Behavior Game or Good Behavior Plus Merit approach (see Tingstrom, Sterling-Turner, & Wilczynski, 2006, for a review). The programs have been instituted to assist in reducing inappropriate behaviors and increase productivity and have been used in classroom settings, but can easily be adapted for individual use. Research has demonstrated the success of the program in not only increasing academic performance but also reducing negative and noncompliant behaviors. By adding a merit component, teams or individuals can regain lost points for previous misdemeanors. Tokens or credits can be exchanged for previously negotiated prizes based on the number of credits earned. Post-Case Questions 1. Using situational and contextual factors, explain why Scott’s behaviors were described as more oppositional at home than at school. Is this a common finding? 2. Barkley (1997a) has developed a theoretical model for ADHD that places “behavioral inhibition” as the focal point of the model. According to this model, the ability to delay or inhibit a given response allows for the necessary time required for executive information processing to occur. Included within these executive processes are abilities to manipulate information mentally (working memory), self-regulation (emotional control, motivation/drive), self-reflection (inner speech, problem-solving), and reconstitution (analysis and synthesis). Furthermore, the ability to maintain the delay is also required to block possible interference factors (see Barkley, 1997b for a complete description of this model of hyperactivity and impulsivity). How might the concept of “behavioral inhibition” be used to help explain Scott’s behaviors? 3. At a minimum, Scott demonstrates at least two comorbid disorders. What are the two disorders? How often do they occur together in clinical populations? Using Barkley’s model of behavioral inhibition, explain the underlying dynamics in these two comorbid disorders. 4. The role of parenting practices in the maintenance and management of disruptive behavior disorders has been welldocumented (Barkley, 1997a; Chamberlain & Reid, 1991, 1998; Patterson, Reid, & Dishion, 1992). Various theoretical perspectives have focused on different aspects of parent–child interactions in maintaining maladaptive behaviors—for example, the coercion model and coercion theory (Patterson et al., 1992; Steiner & Remsing, 2007). Refer to the section on coercion theory in Chapter 1: Introduction to refresh your memory about the importance of coercion theory. Develop case formulations to explain how Scott’s interactions with his family members serve to sustain his disruptive behavior from the following perspectives: behavioral, cognitive, family systems, and parenting style/attachment. What therapeutic approach would you recommend for Scott and his parents? 5. Although most children who have ODD do not progress to CD, some are more at risk than others. Taking into consideration what research suggests are risk factors for ODD developing into CD and looking at Scott’s individual assessment results (Appendix A), do you think that Scott is at risk for developing CD? If so, why? If not, why not? Also, the DSM -5 suggests that the extent to which symptoms cluster around two predominant themes (angry/irritable versus argumentative/defiant) may predict whether a child is at greater risk for internalizing versus externalizing disorders. Based on Scott’s symptom profile, do you think he is more at risk for internalizing or externalizing problems in the future? Why? 6. Using information from the case study itself and the supplementary assessment data found in Appendix A and the Glossary, identify as many symptoms as you can find of ODD and ADHD that meet the DSM criteria. Remember to specify the predominant type of ADHD that Scott’s symptoms match. 7. Scott’s parents do not agree about the extent and nature of his behavioral problems. As his therapist, how would you approach this situation, and what suggestions do you have for bringing his parents in closer alignment regarding his difficulties? 8. Suggested individual or group presentation activity: The principal has called a parent/school meeting to discuss concerns about Scott’s progress and attitude at school. Assign roles to individuals who will role-play important individuals in Scott’s life and how they would interact in this situation. Develop important questions for each of the players who can add information to the case. Some of the casting members might be Scott, his mother and father, his teacher, the school psychologist, and any other individual that you feel might contribute to an understanding of the case and assist with developing an overall case formulation and treatment plan. You have been asked to attend a meeting at the school to share your assessment results with the student support team. What would be the main emphasis in your presentation; who would you want to be present at the meeting; and what would your recommendations be for accommodations/or modifications to his program based on the test results? 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A meta-analytic examination of comorbid hyperactive-impulsive- attention problems and conduct problems. Psychological Bulletin, 28(1), 118–150. Whittinger, N. S., Langley, K., Fowler, T. A., Thomas, H. V., & Thapar, A. (2007). Clinical precursors of adolescent conduct disorder in children with attention-deficit/hyperactivity disorder. Journal of the American Academy of Child and Adolescent Psychiatry, 46, 179–187. CASE 12 TYRONE WILSON : THE GANG’S ALL HERE NEESHA’S BROTHER; MULTIFINALITY; LEARNING AND BEHAVIOR PROBLEMS; GANG ACTIVITY; FORENSIC ASSESSMENTS; FETAL ALCOHOL SPECTRUM Tyrone Wilson, 15 years of age, is an African American youth who is the older brother of Neesha Wilson (see Case of Neesha Wilson). Although the two siblings were brought up under somewhat similar circumstances, there was a significant difference in the outcomes for the two children. While Neesha’s story is one of resilience, Tyrone suffered through significant challenges that have escalated out of control since his father left the family 3 years ago. DEVELOPMENTAL HISTORY/FAMILY BACKGROUND Tyrone lives with his 10-year-old sister, Neesha, and their mother in a two-bedroom apartment. The apartment is small but very well kept. Tyrone sleeps on the couch, which folds out into a bed. Tyrone’s mother is currently working two jobs: cleaning offices and working as a hairstylist. M rs. Wilson graduated from hairstylist classes last year. Although her career as a hairstylist has a lot of potential, she is only beginning to develop clientele. She also works part time cleaning offices. Despite the lack of financial resources, the children are clean and adequately fed. M other admits to drinking more than she should have when she was pregnant with Tyrone. She said, You know you read about it a lot now, but when I was growing up, I mean I was 19 when I got pregnant with Tyrone, I just became legal drinking age, and it was time to party. I was done with high school and I was taking some community college courses and working part time at the deli. Their dad was a mechanic and he worked hard and long hours. When we were done with working, like we just were ready to let loose. When asked how much she drank during her pregnancy, M rs. Wilson said there was not a night that she did not drink probably one or two beers, plus a couple of glasses of wine. She stated that she did not do any drugs whatsoever during her pregnancy. When she conceived Neesha, she was more mature and had heard more about drinking and pregnancy, so she did not drink while pregnant with Neesha. Tanya stated that although there are some nights that she is not home because she may be working, she is not too concerned about the children since she has family nearby. She can send the children to her sister’s place a few blocks away, or if they do not want to go, they can stay home, since she also has a cousin who lives in the apartment complex, who can drop by if the children need something. Also, Tyrone is old enough to babysit his sister; however, given his behavior problems, she prefers to have an adult nearby. When asked about Tyrone’s developmental milestones, Tanya said that he seemed to start out on the wrong foot. She said that she and her husband were not great parents because they were so young and immature and Tyrone was a difficult child to manage. Tanya said that Tyrone was an agitated infant and did not eat or sleep well. He was a late talker but was walking by 14 months. He was a difficult child to potty train since it seemed to take forever for him to make the connection. He was also an impulsive child, and still is, which can get him into trouble, since he often acts without thinking. He also does not seem to learn from past mistakes and will do the same thing over again, even if he was punished for it previously. He managed to have some academic success when enrolled in special education, but he continually would get into trouble for disobeying the rules. His mother feels that part of his disability is that he cannot understand rules, but the school did not agree. Tanya felt that punishments at school for rule violations (in-school suspensions, after-school detentions, being kept in at recess, etc.) resulted in Tyrone becoming more resentful and anxious about school. Social skills were also poor, and Tyrone experienced problems being accepted by the other children and was often isolated as a result. She said that she began to feel guilty because Tyrone was having so many problems, so after trying a few different schools, she decided to try homeschooling, which would also allow her to stay home with Neesha, who was then 4 years of age, and she would not have to pay for day care. But eventually, Neesha was ready for school and Tanya felt it was unfair to Neesha to hold her back from a normal school experience, so they enrolled Tyrone back into the school system. At this time, Tyrone was almost 11 years of age and the school recommended an updated assessment, since Tyrone had not had an evaluation since he was 6 years of age. Results of the assessment at that time revealed intellectual functioning in the below average range (full scale IQ was 84, range 80–89), with scores for the Fluid Reasoning and Visual Spatial Reasoning in the average range (FRI = 93, range 87–100; VSI = 95, range 88–102) and much higher than Verbal Comprehension (VCI = 80, range 74–89). The Similarities subtest, which measures abstract reasoning, was very challenging for Tyrone. A severe problem was noted in speed of processing, likely due to poor eye–hand coordination and deficits in short-term visual memory. Academically, Tyrone was functioning at approximately a mid–Grade 4 level in reading and written expression (approximately 1½ years below the expected level) and almost 2½ years below the expected level in mathematics. Problem-solving was especially weak, and Tyrone did not know which numbers were relevant to the questions and which numbers were not needed to solve the problem. Based on his assessment results, it was recommended that Tyrone receive special education assistance to assist in meeting his educational goals. Initially, Tyrone seemed to improve his academic skills with the resource room help. However, after his father left, Tyrone became very unsettled and started to experience more problems socially and academically. He was suspended for fighting, and when the suspension was lifted, he immediately got into another fight and was placed in an alternative school program for students with severe behavioral problems. At home, Tyrone was getting more and more difficult to control. When his mother worked nights, he would stay out until 3:00 or 4:00 a.m. and leave his sister Neesha alone. On these occasions, he would threaten to make Neesha’s life miserable if she told her mom that he was not home. On the nights that Tanya was not working, she would often go to bed early. She said that she was fatigued and just needed to sleep a lot. This also gave Tyrone more freedom to come and go at all hours of the night. One night, when Tyrone eventually arrived home, he was very badly beaten. He would not tell his mother, but this was the night he was “beaten down” as part of his initiation into the gang. That was the night that he was “jumped in,” the rite of passage for new male gang member who gains entry into the gang by being beaten up by the brothers. It was not so bad, Tyrone thought, since afterward, all the gang members hugged him. This was his new family. For Tyrone, joining the gang would give him protection on the streets and the respect he was looking for. However, it also opened the door to drugs and crime. Tyrone started hanging out on the streets and getting involved in petty theft (stealing bikes for parts), and by 14, he was regularly smoking marijuana and drinking beer on a daily basis. REASON FOR REFERRAL Currently, Tyrone is in detention following his recent arrest for robbery and assault with a weapon. He and two of his gang members were arrested as they confronted and threatened two youth with knives, as they were waiting for a bus. Tyrone was especially belligerent and aggressive during the incident, wielding his knife in the air and shouting lyrics from “gangsta” rap music. The detention center is a short-term, secure facility, sometimes called a youth jail, where a youth may be held “during the processing and disposition of the youth’s legal case for the purposes of evaluation or placement if a secure environment is deemed necessary” (AACAP, 2004, p. 2). The judge had ordered an assessment to determine the nature of Tyrone’s difficulties and to assist in determining an appropriate placement (e.g., juvenile correctional facility, community-based or other residential treatment program, etc.). ASSESSMENT RESULTS Forensic Assessments Versus More Traditional Psychological Assessments Forensic assessments differ from the more conventional psychological assessments that have been discussed in this casebook in several ways. Traditional psychological assessments are conducted for a variety of reasons (e.g., to evaluate educational or occupational aptitudes or to investigate mental health concerns) and may include assessments of intelligence (learning capacity), achievement (academic performance), cognitive or neuropsychological functioning (information processing, brainbased functioning, executive functions), personality assessment (traits and personal style), and emotional or behavioral status (mood disorders, anxiety, etc.). However, forensic assessments are more likely to be conducted to address questions of competency on two levels: 1. Is the individual competent to stand trial (is the individual competent at the time of the trial)? 2. Was the individual competent at the time of the crime (which addresses issues of criminal responsibility)? In the former situation, three areas of competency are considered to determine whether the individual is mentally competent to stand trial: does the defendant understand the charges; does the defendant understand the seriousness of the potential outcomes of the trial; and is the defendant capable of assisting in his or her own defense? Regarding whether the individual was competent at the time of the crime, experts would be called in to provide opinions as to whether the defendant was suffering from diminished capacity because of a mental or emotional disorder that interfered with the ability to distinguish right from wrong. Forensic assessments may also investigate whether an individual is malingering, or pretending to be more incapacitated (competency or mental illness), in order to obtain a lesser penalty. Other questions that forensic assessments may address include determining the risk of recidivism (repeat offending) or providing information about the psychological factors that may be contributing to the maladaptive and criminal behavior. In addition to differences in the types of assessment instruments that may be used and the general goals of the assessment, forensic assessment also differs in the nature of the psychologist (mental health practitioner)/client relationship. While most children and adolescents are referred for assessment by concerned parents and teachers, forensic assessments are conducted to answer forensic questions and, as a result, clients are often mandated to participate in the process by the authorities. Therefore, rather than developing a therapeutic relationship, the psychologist is required to remain neutral. The American Psychiatric Association (APA, 2013) has issued a “cautionary statement for the forensic use of the DSM -5,” stating that when the DSM -5 “categories, criteria, and textual descriptions” are used for forensic purposes, “there is a risk that diagnostic information will be misused or misinterpreted.” Furthermore, APA clarifies that the clinical diagnosis of a mental disorder, such as intellectual disability, does not suggest that an individual with that diagnosis meets “legal criteria” such as legal standards for “competence, criminal responsibility, or disability” (p. 25). Assessment Findings Information regarding specific assessment instruments and guidance in the interpretation of standard scores and T scores can be found in Appendix C. The forensic psychologist reviewed Tyrone’s file and noted his developmental history, especially the information regarding his mother’s drinking habits during the pregnancy. The psychologist also reviewed the intellectual assessment information noting intellectual delays in language functions, relative to average scores for visual reasoning. The need for special education assistance was also noted, especially for significant difficulties with mathematics. There were indications that behavior problems have been ongoing, with poor ability to profit from prior experiences and weak social skills, making him vulnerable to gang recruitment and involvement in crime and drug usage. In order to answer a number of forensic questions, the psychologist administered a battery of tests, including the Structured Assessment of Violence Risk in Youth (SAVRY), the Jesness Inventory Revised (JI-R), the Vineland Adaptive Behavior Scales, and the Behavior Rating Inventory of Executive Function (BRIEF). A summary of historical risk factors from the SAVRY included history of nonviolent offending and poor school achievement. Social contextual risk factors were significant with many items endorsed, including peer delinquency, peer rejection, stress and poor coping, poor parental management, lack of personal/social support, and community disorganization. Individual risk factors on this instrument were highly significant, as Tyrone matched many of the high-risk items, including negative attitudes, risk-taking/impulsivity, substance use difficulties, anger management problems, low empathy/remorse, attention deficit hyperactivity difficulties, and poor compliance/commitment to school. Unfortunately, significant problems indicated by personal risk factors were not offset by any protective factors that could buffer the harmful effects posed by the risk factors. On the JI-R, the DSM subscales of Conduct Disorder and Oppositional Defiant Disorder were both clinically significant. In addition, Tyrone had high clinical loadings on the Personality scales for social maladjustment, immaturity, alienation, asocial index, manifest aggression, and withdrawal. He also endorsed significant items on scales measuring depression, social anxiety, and denial. On the subtype scales, Tyrone’s responses placed him in the clinical range for the following subscales: aggressive/undersocialized and conformist/immature. The Vineland Adaptive Behavior Scales were completed by Tyrone’s mother, and according to her responses, Tyrone obtained the following standard scores: Communication Skills, 80; Daily Living Skills, 80; and Socialization Skills, 75. Therefore, adaptive behavior was below the norm for all areas assessed, especially poor in the area of social competence. On the BRIEF, the subscales of the M etacognitive Index (M I) were significant for deficits in areas of working memory, self-monitoring, and organization/planning ability. On the Behavioral Regulation Index (BRI), significant problems were evident in his ability to inhibit responses, in his ability to shift attention between tasks, and in the area of emotional control. The psychologist noted that although Tyrone did not have any of the physical features often associated with fetal alcohol syndrome (FAS), such as dysmorphic facial features or microcephaly, he did exhibit a number of abnormalities often associated with fetal alcohol effects (FAEs), including small stature, delays in motor and speech performance, poor coordination, and impulsive/hyperactive behaviors. Also, his poor social skills and inability to consider the consequences of his behaviors are characteristics that often can make youth with FAE vulnerable to gang recruitment and having eventual problems with the law. ISSUES, TRENDS, AND TREATMENT ALTERNATIVES Fetal Alcohol Spectrum Disorders (FASDs) Streissguth et al. (2004) report that incidence rates of 3 per 1,000 births would suggest a prevalence rate of 12,000 children with FAS born annually in the United States. However, as Riley, Infante, and Warren (2011) emphasize, although the prevalence rate of FAS may be 2–7 per 1,000, this rate is significantly higher when diagnoses for fetal alcohol spectrum disorders (FASDs) are included, increasing the estimated prevalence rate to as high as 2%–5% of all younger school children in the United States and Western Europe. Riley et al. (2011) describe the many labels that have been used over the years to define and describe what has more recently been termed FASD, from the more rigid definitions of FAS for those with the more traditional and recognizable symptoms of FAS noting “physical parameters including facial anomalies and growth retardation, with evidence of developmental delay or mental deficiency” (p. 73), to the less well-differentiated term “FAE” to apply to those who demonstrate more subtle difficulties in areas of cognitive and adaptive functioning without the more obvious physical characteristics. Other terms that have been used in the past, but are no longer regularly used, include “alcohol-related birth defects” (ARBDs) and “alcohol-related neurodevelopmental disorder” (ARND) (Riley et al., 2011). There are several issues that have been raised concerning how to best define and diagnose FASD and other variations that exist among those with FASD. Currently, the term FASD is used to refer to “the spectrum of structural anomalies and behavioral and neurocognitive disabilities” evident in individuals who have been exposed to alcohol prenatally (Hoyme et al., 2005, p. 39). Individuals with FAS present with cardinal diagnostic features in various degrees of severity: facial anomalies, central nervous system damage/dysfunction, and exposure to alcohol in utero (Hoyme et al., 2005). Although individuals who have the more severe and physically recognizable form of FAS may be more readily diagnosed, many cases that demonstrate the more subtle form of FAE often are undetected and undiagnosed. In their study of the adverse effects of individuals diagnosed with FAS or FES, Streissguth et al. (2004) found that the lifetime prevalence rates for the percentage of individuals who experienced negative outcomes in five critical areas were as follows: Disrupted School Experience (DSE) (61%); Trouble with the Law (TWL) (60%); Confinement (CNF) (in detention, jail, prison, or a psychiatric or alcohol/drug inpatient setting: 50%), Inappropriate Sexual Behaviors (ISBs) on repeated occasions (49%); and Alcohol/Drug Problems (ADPs) (35%) (p. 228). However, one of the crucial factors in their analysis was the finding that those who had a diagnosis of FAS or FAE at an earlier age and who had a stable life environment had a 2–4 times better chance of avoiding these negative outcomes. However, Streissguth et al. (2004) also found that patients with FAE had higher rates on all five adverse outcomes compared to those with FAS. The fact that those with more subtle forms of FASD such as FAE are at even higher risk for going undetected (Astley & Clarren, 2000) suggests that they are at greater risk for negative outcomes such as those mentioned above, which was demonstrated in the study by Streissguth et al. (2004). In their analysis of individuals with FASD, Spohr and Steinhausen (2008) found that 60% of children with FASD also meet criteria for attention deficit/hyperactivity disorder with symptoms of hyperactive, erratic, and uncontrolled behaviors as well as concentration difficulties. Children and youth with ARBD and ARND have normal faces, growth, and development, but those with ARBD have specific structural malformations, while those with ARND demonstrate characteristics and behavioral patterns typically associated with fetal alcohol exposure (Hoyme et al., 2005). One of the characteristic problems faced by children and youth with ARND is marked impairment in executive functioning (EF) associated with poor judgment and failure to consider the consequences of their behaviors. EF is used to describe cognitive abilities that are required to adequately perform complex tasks, including cognitive flexibility, planning, organization, sequencing, response inhibition, and self-regulatory behaviors (Eslinger, 1996). Connor, Sampson, Bookstein, Barr, and Streissguth (2000) studied EF in individuals diagnosed with FAS or FAE and controls. Results revealed that the mean IQ scores were higher for those with FAE (SS mean = 90) than those with FAS (SS mean = 79) and that subjects with FAS and FAE performed poorer on tasks of executive functions than would have been predicted by IQ alone. The researchers noted deficits in EF related to “shifting or changing strategies, especially when there is uncertainty about which rules to employ” and problems in interpersonal relationships due to an inability to detect subtle cues resulting in feeling isolated or from being “prone to inappropriate behaviors that could get them into trouble both socially and legally” (Connor et al., 2000, p. 351). Hoyme et al. (2005) list a number of characteristics commonly found in the behavioral profile of children with FASD, including problems with communication and speech (talking too fast or interrupting others), difficulties in personal manner (clumsiness, disorganization, and losing or misplacing things), emotional lability (rapid mood swings, overreacting), motor dysfunction (difficulty playing sports), poor academic performance (poor attention span and completing tasks), deficient social interactions (lack of awareness of the consequences of behavior and poor judgment), and unusual physiologic responses (hyperactivity and sleep disturbances). (p. 45) In their study of 415 patients with FAS and FAE, Streissguth et al. (2004) found that 42% reported placement in special education, 66% had received resource room assistance, and 65% had received remedial help for reading and arithmetic. Adaptive scores from the Vineland Adaptive Behavior Scales and performance on arithmetic were two of the greatest areas of deficit for both groups. Adverse life outcomes were evaluated for five different areas: ISB, DSE, TWL, CNF, and ADP. Of the study sample, 53% of adolescents had been suspended from school, 29% had been expelled, and 25% had dropped out. The most common areas of school difficulty included problems with attention, incomplete work, problems getting along with peers, and being disruptive in class. Sixty percent of adolescents and adults reported TWL, with crimes against persons (45%), shoplifting/theft (36%), and assault (17%), the three most common areas of criminal activity. Sixty-seven percent of adolescents had been charged, arrested, or convicted, while 35% were actually incarcerated for a crime. Twenty-nine percent of adolescents admitted to ADP. The authors found that one of the strongest correlates for adverse outcomes was age of diagnosis, with the odds increasing from two to four times the risk, if age of diagnosis was after 12 years of age. A significant finding from the study was that patients with FAE had higher rates of adverse outcomes in all five areas than those with FAS and double the odds of TWL and ADP than those with FAS. Streissguth et al. (2004) suggest that those with FAE, who do not have the physical features associated with FAS, nevertheless, are significantly impaired in academic and adaptive behavior. Gang Involvement In their analysis of gang membership in the United States for children between the ages of 5 and 17, Pyrooz and Sweeten (2015) found significantly higher rates of gang membership than had been previously estimated. Pyrooz and Sweeten (2015) found that the prevalence of youth gang membership was approximately 2.0% overall, with the highest rate of 5% recorded for youth at 14 years of age, with the majority of participation occurring after age 10 years of age. Given the vulnerability of younger aged youth, Pyrooz and Sweeten (2015) suggest that the middle school years, particularly before the age of 12 years, would be an appropriate time for individuals to institute interventions aimed at prevention of gang membership. To this end, the researchers suggest the importance of targeting risk factors for gang membership that have been revealed in the research to date, including negative life events, antisocial tendencies, prodelinquent attitudes, low parental supervision, and association with delinquent peers. Early intervention is crucial, given the evidence that preventing someone from joining a gang is far more effective than attempting to persuade an active gang member to leave (Thornberry, Krohn, Lizotte, Tobin, & Smith, 2003). As noted above, Pyrooz and Sweeten (2015) revealed a number of risk factors associated with gang membership, including low parental supervision and association with delinquent peers. M ost disadvantaged youth are often the most unsupervised who live in crowded housing conditions where private space is limited (Vigil, 2007). Pyrooz and Sweeten (2015) found that although the risk for joining a gang peaked at 13–14 years of age and then declined as youth approach adulthood, their research also supported their earlier reports (Pyrooz, Decker, & Webb, 2014) that for some youth the gang influence continues to feel its negative impact into adulthood, even after leaving a gang. Some of the negative outcomes of gang association have been noted in the following: substance use/abuse, juvenile delinquency, carrying weapons, involvement in illicit drug activities, arrest, and violence, all of which contributed to hardships in areas of family well-being, educational advancement, and economic opportunities (Decker & Pyrooz, 2010; Egley, Logan, & M cDaniel, 2012; Watkins, Huebner, & Decker, 2008). In addition to the risk factors noted above, researchers have also probed the theoretical foundations inherent in gang membership in order to better understand what would motivate an individual to join a gang in order to address potential preventative measures that can be exercised to deter the process of gang enrollment. To this end, Pryooz, Fox and Decker (2010) examined the theoretical correlates of gang membership in order to determine the interrelationship between economic disadvantage and ethnic heterogeneity on gang membership. Pryooz, Fox and Decker (2010) found that ethnic heterogeneity and economic disadvantage, which they described as the “two cornerstones of social disorganization theory,” accounted for the highest levels of gang membership across the United States. To this end, they emphasize the importance of considering the role that race and ethnicity play in any theoretical underpinnings of gang formation and gang membership and as such the need to factor in these variables separately (e.g., percent Black, Hispanic) rather than grouping these variables as one factor. One of the most interesting theories of gang formation has been suggested by Vigil and colleagues in the application of theories of multiple marginality to gang formation in the city of Los Angeles. According to Vigil (2002), social exclusion is one of the prime motivators of gang formation based on feelings of marginalization and racial conflict inherent in the process of gang formation and gang membership. Conchas and Vigil (2013) discuss the role of the street gang as a source of identity formation in low-income neighborhoods for primarily male adolescent youth. In their article, Conchas and Vigil (2013) address how “human developmental influences promote gang formation as well as inform possible wellbalanced antigang strategies” (p. 36). Conceptually, using multiple marginality as the organizational framework, Conchas and Vigil (2010) suggest that the process of gang affiliation is influenced by and in turn influences perceptions on a number of different levels including economic, sociocultural, and psychological. Conchas and Vigil (2013) suggest that youth growing up in the streets form “newly established social bonds,” which “are reinforced,” a sense of protection is gained, and new behavior patterns and values are learned (p. 37). As a result, growing up in an impoverished area within the context of a gang “family” influences subsequent development in many ways, including social (acceptance, protection, sense of belonging); emotional (sense of security, identity formation); cognitive (rules of group engagement, dress, conduct); and physical (need to show “toughness,” development) (Conchas & Vigil, 2013). Based on their analysis of gang formation, Conchas and Vigil (2013) recommend a number of preventative measures which are summarized in the Section Treatment/Prevention. Race is a strong predictor of poverty and the problematic behaviors that may result, such as delinquency, violence, and substance use (M cLoyd, 1998). However, individual differences exist in that not all African American male youth experience the problematic behaviors associated with poverty and race. Taylor et al. (2003) examined characteristics of African American adolescent males who were involved in gangs (GI) participating in criminal behaviors (drug use, violence) relative to African American adolescent males who were involved in community groups (CG). Researchers found very different attitudes and attributes among the two groups. Youth in CG were more likely to describe their parents as supportive, as having rules, and as settling disagreements peacefully. As for drugs, while the CG sample reported having as many friends who got high as did not, the GI youth were significantly more likely to associate with friends who get high. Attitudes toward school were also highly discrepant, with the GI sample attending school to socialize or to meet parent demands, while those from the CG sample attended school to get a better job or go to college. With respect to role models, youth in the GI group were more likely to have a “rapper” as a role model, and those in the CG sample were more likely to seek advice from a role model. According to Vigil (2002), minority youth are subjected to multiple marginality, “living and working in marginal situations and conditions,” where there is a breakdown of social control, and are socialized by the street and assume the street or “gang” identity (p. 8), as the gang replaces the family and becomes the family. Treatment/Prevention FASD: Of course, the best prevention for FASD is to increase awareness of the dangers of females drinking during pregnancy. As there has been no safe amount of alcohol determined, abstinence is the best method. Prevention programs can be launched on several levels, including primary/universal prevention (targeting all pregnant females), secondary/selective prevention (targeting pregnant women who are at risk for drinking), and tertiary/indicated prevention (targeting women who drink who become pregnant). There is an increased risk for individuals with FASD to become involved in the juvenile justice system (Streissguth et al., 2004; Streissguth & Kantor, 1997) due to problems in the areas of intellectual disabilities, learning disabilities, hyperactivity, attention deficits, and poor social skills, which can increase their chances of breaking the law. In their fact sheet on FASD and the juvenile justice system, the Substance Abuse and M ental Health Services Administration (SAM HSA, 2007) suggests that youth with FASD can be impulsive and not consider the consequences of their actions. Furthermore, their poor sense of personal boundaries, susceptibility to peer pressure, and tendency to be easily led can all contribute to their vulnerability for criminal and gang-related behaviors. SAM HSA (2007) emphasizes many ways that youth with FASD pose a “challenge” to the judicial system, including their inability to understand the process and communication problems. As a result, it is recommended that youth should be screened for FASD at all entry points into the juvenile justice system to ensure that if the condition exists, it can be detected. The resource also encourages attorneys to become aware of FASD and the consequences that this can have in order to appropriately advocate for their client in areas of Competency (understand the charges and participate in their defense) Diminished capacity (ability to distinguish right from wrong) Decisions to decline/remand/waive (juvenile rather than adult facility) Sentencing (FASD as a mitigating factor) Treatment (appropriate court-ordered interventions) The SAM HSA (2007) report also cautions that incarceration may increase the risk of reoffending due to the iatrogenic effects of deviancy training from other youth in detention. It is also recommended that probation or aftercare include a supervised and structured living situation, where life skills can be monitored and supported. Given their cognitive limitations, it is unlikely that insight-oriented therapy would be beneficial; however, training in ways to improve executive functions can assist in developing better skills to enable individuals to be more successful in their relationships with others and in following through on task demands. Involvement in CG can also foster increased socialization with more normative peers and counteract gang involvement. Gang involvement: M ost gang members showcase their involvement by a form of dress, behaviors, hand signals, and tattoos (Gaustad, 2000). Potential gang members are typically recruited when they reach the teen years, when developmentally, adolescents are seeking a sense of belonging to a group and identity formation. The gang can provide both (Reiboldt, 2001). While Latino members join gangs for a sense of “macho,” African American youth join gangs to be “cool” (Hunt & Laider, 2001). In their study of gang member characteristics, Esbensen, Winfree, He, and Taylor (2001) found these youth to be more impetuous and violent, engage in more high-risk behaviors, and report less feelings of guilt. There are a number of prevention programs that have been launched to reduce the successful recruitment of new gang members. Vigil (2002) suggests that unless the policymakers understand why gangs formed from a cultural and economic perspective, then intervention and prevention will not be possible. Furthermore, he states that a proactive approach is necessary and must begin in early childhood, in low-income areas, with secondary prevention programs aimed at those children most at risk. Interventions must also focus on the critical preteen years (9–12), when youth are at the optimum age for gang recruitment. Finally, tertiary intervention should focus on those youth who have already joined a gang to recruit them back into society, not through punitive means (incarceration) but by offering mentoring, tutoring, and counseling for them, as well as their families. Based on their analysis of the role of multiple marginality and social exclusion in the process of gang formation and affiliation, Conchas and Vigil (2013) suggest the importance of timing and skill acquisition in positive areas, in order to assist youth to reinforce a sense of conventional life. To this end, the authors stress that interventions must be initiated at youth in the “crucial preteen years, from about age 9–13” with a focus on “training, work, jobs can engage youths in productive, conventional activities and ground them in the skills, knowledge, and attitudes that will stay with them for life and give them a stake in society” (p. 41). The authors also emphasize the need to strengthen families (family counseling, parenting classes), school engagement (remedial programs, individual student attention), and positive relations with law enforcement (community outreach programs). The Gang Resistance Education and Training (G.R.E.A.T.) program (Esbensen, Osgood, Taylor, Peterson, & Freng, 2001) is a gang and delinquency prevention program delivered by law enforcement officers within a school setting. Although initial program reviews revealed a number of positive outcomes (students in the program experienced lower levels of victimization and risk-seeking tendencies, more negative views about gangs, and more positive views of law enforcement), there were no significant differences evident between students in the control group and experimental group in overall levels of delinquency, violence, or gang membership (Esbensen, Freng, Taylor, Peterson, & Osgood, 2002; Esbensen, Osgood, et al., 2001). Based in part on these findings of little program effect, the G.R.E.A.T. program underwent a rigorous programmatic review that resulted in substantial program modifications, particularly in the core curriculum. The revised curriculum was piloted in 2001, with full-scale implementation occurring in 2003. Presently, the G.R.E.A.T. II program is taught to middle school students by law enforcement officers, primarily school resource officers (SRO). The revised program includes 13 skill building lessons that focus on addressing known risk factors for gang involvement, including avoiding involvement in negative associations (gang membership, violence, criminal activity) and increasing positive associations with law enforcement. The program teaches specific skills to reduce the possibility of gang involvement, including communication (refusal skills), conflict resolution, and anger management techniques. The program was also expanded to include outreach to families and the community, including partnerships between law enforcement and agencies such as the Boys and Girls club, with optional components available in elementary schools and summer programs. A more recent evaluation of outcomes for the G.R.E.A.T. II program is far more encouraging. In a longitudinal study of approximately 3,800 students involving 31 public middle schools in the United States, short-term effects revealed the program was effective in increasing a number of the targeted skills, reducing gang involvement and improving youth–police relations (Esbensen et al., 2011; Esbensen, Peterson, Taylor, & Osgood, 2012). Post-Case Questions 1. The concepts of equifinality (several possible pathways can lead to the same outcome) and multifinality (being raised in similar circumstances can result in different outcomes) have been suggested to assist our understanding of the nature of different developmental trajectories (Cicchetti & Rogosh, 1996). Although Neesha and Tyrone were siblings who were raised in the same household, Neesha’s story is one of resilience, while Tyrone’s path has led to gang membership and the juvenile justice system. What are some of the factors that have contributed to the negative outcomes that Tyrone has experienced? 2. There are many issues and different definitions for the FASD. Which type of FASD is most likely to apply to Tyrone, and what characteristics are most common in this form of FASD? 3. What are some reasons that gang membership was so attractive to Tyrone, and how is this complicated by FASD? 4. Name several ways in which a forensic assessment differs from a more conventional psychological assessment. 5. Why are so many individuals with FASD involved with the juvenile justice system and what are the challenges that the juvenile justice system must face in dealing with these cases? 6. In the Introduction to Chapter 1, several reasons were discussed for why children and youth raised by depressed mothers have reported a number of negative outcomes, including social withdrawal; the acquisition of inappropriate social skills; increased risk for psychopathology; and evidence of dysfunctional physiological systems associated with the ability to manage stress and engage in social relationships such as cortisol response. Individual characteristics that have emerged as protective factors which can buffer a child from the impact of having a depressed mother are having an easy temperament (as opposed to difficult temperament) and having a higher IQ. Given Tyrone’s history and biological/psychological profile, what are the risks and protective factors for him regarding the potential for positive or negative outcomes? 7. Suggested individual or group presentation activity: You have been invited to provide feedback to the court regarding Tyrone’s assessment. What would be the focus of your presentation, and what would your recommendations be? How would you prepare for your presentation (who would you interview and what additional data would you want to collect), and who would you want to be in attendance at that session, for potential questioning? How could each participant potentially contribute information to assist with developing an intervention plan that would best meet Tyrone’s needs? REFERENCES American Academy of Child and Adolescent Psychiatry (AACAP). (2004). Practice parameter for the assessment and treatment of youth in juvenile detention and correction facilities. Retrieved from http://www.aacap.org. Accessed on December 5, 2009. American Psychiatric Association (APA). (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Arlington, VA: Author. Astley, S. J., & Clarren, S. K. (2000). Diagnosing the full spectrum of fetal alcohol exposed individuals: Introducing the 4-digit diagnostic code. Alcohol, 35, 400–410. Cicchetti, D., & Rogosh, F. A. (1996). Editorial: Equifinality and multifinality in developmental psychopathology. Development and Psychopathology, 8, 597–600. Conchas, G. Q., & Vigil, J. D. (2010). M ultiple marginality and urban education: Community and school socialization among lowincome M exican-descent youth. Journal of Education for Students Placed at Risk, 15, 1–15. Conchas, G. Q., & Vigil, J. D. (2013). Gang formation revisited: A human development framework to inform balanced anti-gang strategies. Journal of Gang Research, 20(4), 35–52. Connor, P. D., Sampson, P. D., Bookstein, F. L., Barr, H. M ., & Streissguth, A. P. (2000). Direct and indirect effects of prenatal alcohol damage on executive function. Developmental Neuropsychology, 18, 331–354. Decker, S. H., & Pyrooz, D. C. (2010). On the validity and reliability of gang homicide: A comparison of disparate sources. Homicide Studies, 14(4), 359–376. Egley, A., Logan, J. J., & M cDaniel, D. (2012). Gang homicides-Five US cities, 2003-2008 (Reprinted from M M WR, Vol. 61, pp. 46–51, 2012). JAM A- Journal of the American M edical Association, 307(10), 1018–1021. Esbensen, F.-A., Freng, A., Taylor, T. J., Peterson, D., & Osgood, D. W. (2002). Putting research into practice: The national evaluation of the Gang Resistance G.R.E.A.T. Program. In W. L. Reed & S. H. Decker (Eds.), Responding to gangs: Evaluation and research (pp. 139–167). Washington, DC: U.S. Department of Justice, National Institute of Justice. Esbensen, F.-A., Osgood, D. W., Taylor, T. J., Peterson, D., & Freng, A. (2001). How great is G.R.E.A.T.?: Results from a quasiexperimental design. Criminology & Public Policy, 1, 87–118. Esbensen, F. A., Peterson, D., Taylor, T. J., Freng, A., Osgood, D. W., Carson, D. C., & M atsuda, K. N. (2011). Evaluation and evolution of the gang resistance education and training (GREAT) program. Journal of School Violence, 10(1), 53–70. Esbensen, F. A., Peterson, D., Taylor, T. J., & Osgood, D. W. (2012). Results from a multi-site evaluation of the GREAT program. Justice Quarterly, 29(1), 125–151. Esbensen, F., Winfree, L., He, N., & Taylor, T. (2001b). Youth gangs and definitional issues: When is a gang a gang, and why does it matter? Crime & Delinquency, 47, 105–130. Eslinger, P. J. (1996). Conceptualizing, describing and measuring components of executive function: A summary. In G. T. Lyon & N. A. Krasnegor (Eds.), Attention, memory and executive function (pp. 367–395). Baltimore, M D: Brookes. Gaustad, J. (2000). Gangs. Greensboro, NC: ERIC Clearinghouse on Counseling and Student Services. Retrieved from https://files.eric.ed.gov/fulltext/ED372175.pdf Hoyme, H. E., M ay, P. A., Kalberg, W. O., Kodituwakku, P., Gossage, P., & Trujillo, P. (2005). A practical clinical approach to diagnosis of fetal alcohol spectrum disorders: Clarification of the 1996 Institute of M edicine criteria. Pediatrics, 115, 39–47. Hunt, G., & Laider, K. (2001). Alcohol and violence in the lives of gang members. Alcohol, Research and Health, 25, 66–71. M cLoyd, V. C. (1998). Children in poverty: Development, public policy, and practice. In W. Damon (Ed.), I. E. Sigel, & K. A. Renninger (Vol. Eds.), Handbook of psychology. Child psychology in practice (Vol. 4, 5th ed., pp. 135–208). New York, NY: John Wiley. Pyrooz, D. C., Decker, S. H., & Webb, V. J. (2014). The ties that bind: Desistance from gangs. Crime & Delinquency, 60(4), 491– 516. Pyrooz, D. C., Fox, A. M ., & Decker, S. H. (2010). Racial and ethnic heterogeneity, economic disadvantage, and gangs: A macro‐ level study of gang membership in urban America. Justice Quarterly, 27(6), 867–892. Pyrooz, D. C., & Sweeten, G. (2015). Gang membership between ages 5 and 17 years in the United States. Journal of Adolescent Health, 56(4), 414–419. Reiboldt, W. (2001). Adolescent interactions with gangs, family and neighborhoods: An ethnographic investigation. Journal of Family Issues, 22, 211–242. Riley, E. P., Infante, M . A., & Warren, K. R. (2011). Fetal alcohol spectrum disorders: An overview. Neuropsychology Review, 21(2), 73–80. Spohr, H. L., & Steinhausen, H. C. (2008). Fetal alcohol spectrum disorders and their persisting sequelae in adult life. Deutsches Ärzteblatt International, 105(41), 693–698. Streissguth, A. P., Bookstein, F. L., Barr, H. M ., Sampson, P. D., O’M alley, K., & Young, J. K. (2004). Risk factors for adverse life outcomes in fetal alcohol syndrome and fetal alcohol effects. Developmental and Behavioral Pediatrics, 25, 226–238. Streissguth, A. P., & Kantor, J. (Eds.). (1997). The challenge of fetal alcohol syndrome: Overcoming secondary disabilities. Seattle, WA: University of Washington Press. Substance Abuse and M ental Health Services Administration (SAM HSA). (2007). Fetal alcohol spectrum disorders and juvenile justice: How professionals can make a difference. Retrieved from http://www.fasdcenter.samhsa.gov/documents/WYNK_JuvJust_ Profs.pdf. Accessed on December 18, 2009. Taylor, C. S., Lerner, R. M ., von Eye, A., Bobek, D., Balsano, A. B., Dowling, E., et al. (2003). Positive individual and social behavior among gang and nongang African American male adolescents. Journal of Adolescent Research, 18, 496–522. Thornberry, T. P., Krohn, M . D., Lizotte, A. J., Tobin, K., & Smith, C. A. (2003). Gangs and delinquency in developmental perspective. Cambridge, UK: Cambridge University Press. Vigil, J. D. (2002). A rainbow of gangs. Austin, TX: University of Texas Press. Vigil, J. D. (2007). The projects: Gang and non-gang families in east Los Angeles. Austin, TX: University of Texas Press. Watkins, A. M ., Huebner, B. M ., & Decker, S. H. (2008). Patterns of gun acquisition, carrying, and use among juvenile and adult arrestees: Evidence from a high‐crime city. Justice Quarterly, 25(4), 674–700. 4 INTRODUCTION TO ANXIETY AND COMPULSIVE DISORDERS Compared to the behavioral disorders which are externalizing disorders that are often highly visible, disruptive, and disturbing to others, the anxiety disorders can often go undiagnosed because they are behaviors that are more subtle and internalized within the self. Other disorders that share similar overcontrolled features include depression and somatic complaints, which can often be comorbid with anxiety disorders. Over time, the DSM has changed the way that anxiety disorders in children have been conceptualized. While the DSM -III (APA, 1980) recognized three anxiety disorders of childhood (separation anxiety disorder [SAD], avoidance disorder, and overanxious disorder), the DSM -IV-TR (APA, 2000) included only SAD in the category of “Disorders Usually First Diagnosed in Infancy, Childhood or Adolescence,” although the symptom criteria for all other anxiety disorders were expanded to include descriptions of child-oriented symptoms in the text revision. In keeping with the move toward a more developmentally oriented perspective, the DSM -5 (APA, 2013) lists all anxiety disorders in the section on “Anxiety Disorders.” Although the actual symptom criteria for the anxiety disorders remain consistent with the previous version of the DSM (APA, 2000), in addition to medically or substance-induced disorders, the chapter on anxiety disorders is arranged developmentally (based on age of typical onset) and now includes discussions of SAD, selective mutism, specific phobia, social anxiety disorder (social phobia), panic disorder, panic attack specifier, agoraphobia, and generalized anxiety disorder (GAD). Selective mutism is new to this category and was previously included as one of the “Other Disorders of Infancy, Childhood or Adolescence” along with SAD, reactive attachment disorder, and stereotypic movement disorder. M issing from the category of Anxiety Disorders are the stress disorders (posttraumatic stress disorder [PTSD]; acute stress disorder), which are now found in the section on “Trauma and Stressor-Related Disorders,” and obsessive compulsive disorder (OCD), which has been relocated to a new section “Obsessive Compulsive and Related Disorders.” In this chapter, we will discuss cases that include symptoms of SAD, selective mutism, GAD, OCD, and social anxiety. Cases related to trauma (reactive attachment disorder, nonsuicidal self-injury) and stress-related disorders (PTSD) will be presented in Chapter 7. ANXIETY AND ANXIETY-RELATED DISORDERS Anxiety disorders share common traits of excessive fear and worry that go beyond what is developmentally appropriate and persist longer than what would be expected given a normal adjustment period (lasting longer than 6 months). Although the anxiety disorders share reactions of excessive fear and avoidance, the nature of the situation or event which induces the response will determine the type of anxiety disorder that is present. For example, persistent fear of harm to a caregiver would suggest symptoms of SAD, while a sense of free-floating anxiety and worry across a variety of situations/events may signal GAD. Individuals with specific phobias have an excessive fear and avoidance of an anxiety-provoking situation/event or object (e.g., fear of heights, animals, etc.), while those with social anxiety disorder are fearful of being humiliated or embarrassed while in the company of others unfamiliar to them. The DSM emphasizes that panic attacks can accompany a variety of different mental disorders; however, the attack itself is not a mental disorder, whereas panic disorder is diagnosed when individuals fear having panic attacks to the extent that it interferes with normal functioning. Agoraphobia is diagnosed if an individual avoids two or more situations because of excessive fear of having a panic attack, including public transportation, open spaces, enclosed spaces, crowds, or being outside the home. The following summaries provide an outline of DSM criteria for anxiety disorders discussed in this chapter. Separation anxiety disorder (SAD): Individuals with SAD have an excessive fear of being separated from their caregiver, lasting for at least 4 weeks, evident in at least three symptoms, including persistent and recurrent distress/worry, resulting from separation or the expectation of separation from the caregiver; fears of harm to the caregiver; fear of an event that will result in separation (accident, illness); refusal/reluctance to leave home/caregiver; refusal to sleep away from home; nightmares about separation; anticipation or fear of separation resulting in physical complaints/symptoms. The distress is not accounted for by refusal to change or adherence to rituals as noted in autism spectrum disorder (APA, 2013, p. 191). Selective mutism: Children diagnosed with selective mutism refuse to speak in certain social situations (e.g., school) despite being able to speak in other situations (e.g., home). Their reluctance to speak in these specific situations is not related to any sense of discomfort in speaking, lack of language fluency, or any communication disorder. The condition must persist for at least 1 month, excluding the first month of school (APA, 2013, p. 195). Generalized anxiety disorder (GAD): Individuals diagnosed with GAD will present with symptoms of excessive and pervasive anxiety and worry regarding events or activities related to day-today functioning and performance (school or work), lasting for at least 6 months. While adults with GAD must present with three of more symptoms from a list of six possible symptoms, only one symptom is required for a diagnosis in children: restlessness, ease of fatigue, problems concentrating, irritability, muscle tension, and sleep disturbance (APA, 2013). The nature of worries tends to vary developmentally with children and adolescents exhibiting concerns related to performance at school or in sports, while adult worries tend to focus on family well-being or health-related concerns. Social anxiety disorder: Social anxiety disorder occurs when an individual has a marked fear or anxiety associated with social situations where the individual is exposed to possible evaluation or judgment by others and fears embarrassment or humiliation as a result. The social activities may include such situations as having a conversation with someone, meeting unfamiliar people, or eating/drinking or performing in the presence of others. For children, the fear or anxiety must occur in the presence of peers, not just adults. Often the situations are avoided because they are so anxiety provoking. OBSESSIVE COMPULSIVE AND RELATED DISORDERS Although the diagnostic criteria for OCD have not changed from the previous edition of the DSM (APA, 2000), the disorder has been relocated to a newly created chapter, “Obsessive Compulsive and Related Disorders,” which includes disorders such as OCD, body dysmorphic disorder, hoarding disorder, trichotillomania (hair-pulling disorder), and excoriation (skin-picking) disorder. Disorders in this chapter share features of preoccupations and repetitive behaviors that are excessive and beyond what would be expected given an individual’s developmental level or insight. Obsessive compulsive disorder (OCD): Individuals with OCD experience intrusive obsessions (recurrent and persistent thoughts, urges, images) that they attempt to neutralize or suppress through some action (e.g., compulsion) or compulsions (repetitive behaviors or mental acts) performed in order to reduce anxiety associated with a situation or event, or they experience both obsessions and compulsions. These obsessions or compulsions are pervasive, consuming more than 1 hour daily. Individuals with OCD can demonstrate various levels of awareness, from good/fair insight to poor insight, or with absent insight and delusional beliefs (APA, 2013, p. 238). Common forms of OCD include contamination (cleaning or hand washing compulsions), symmetry (ordering, arranging), and safety (checking). Trichotillomania (hair-pulling disorder): Trichotillomania is a repetitive behavior that involves hair pulling often resulting in hair loss in a specific area (eyelids, scalp, eyebrows, etc.). The act of hair pulling causes significant distress (embarrassment, feeling of loss of control), as does repeated attempts to not engage in the activity. Females are significantly more likely to engage in trichotillomania than males (ratio of 10:1), although among children there is minimal gender differences (APA, 2013). REFERENCES American Psychiatric Association. (1980). Diagnostic and statistical manual of mental disorders-III. Arlington, VA: Author. American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders-IV-TR. Arlington, VA: Author. American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders-5. Arlington, VA: Author. CASE 13 WINNIE KENT : SILENCE IS NOT GOLDEN SEPARATION ANXIETY DISORDER; SELECTIVE MUTISM Winnie, a 5½-year-old girl, was referred for assessment by her pediatrician. Winnie was accompanied by her mother, Isabel. Despite being a seemingly normal and talkative youngster at home, Winnie had always been rather shy and reticent in larger group settings. Although her mother had anticipated some early reservations on Winnie’s part regarding her initial school placement, Isabel was totally unequipped to deal with the current situation, which had developed over the past 6 months of enrollment in the kindergarten program. DEVELOPMENTAL HISTORY/FAMILY BACKGROUND Isabel Kent and her husband Frank were both in their early forties. They met and married while attending graduate school. Frank is an engineer, and Isabel is currently a stay-at-home mom. Prior to Winnie’s birth, Isabel was a research assistant for a pharmaceutical company. Isabel stated that there was no serious mental illness on either side of the family, although she described herself as “high strung” and a bit of a loner. She felt that her husband was a workaholic, since he spent the majority of his time either working or thinking about working. She described their marriage “as successful as most enduring marriages.” Isabel stated that although Winnie is an only child, it was not by choice. The pregnancy was planned and it was decided that when the baby was born, Isabel would quit her job and devote her time to child rearing. Although the plan was to have two or three children, Isabel suffered a miscarriage when Winnie was about 14 months old and then a second miscarriage about 5 months later. Isabel described herself as depressed during this period with frequent bouts of crying and fatigue. Her physician suggested a trial of Prozac; however, Isabel developed headaches and nervousness/agitation as side effects. A trial of Paxil produced fewer side effects and eventually, with the help of Paxil, Isabel was coping much better. Because of the risk of complications in pregnancy, given Isabel’s age, and fear of the depression returning if she had another miscarriage, the Kents decided to abandon any further attempts to conceive a child. Winnie weighed 5 pounds 6 ounces at birth, and although pregnancy and delivery were normal, complications developed later on. Immediately after the birth, an attempt to intubate a blocked nasal passage resulted in swelling. Winnie was fed intravenously and required an artificial airway until the swelling subsided and surgery could finally be performed to remove the membrane that was blocking the nasal passage. During this time, Winnie experienced what her mother described as “blue spells,” a term she used to describe the color of Winnie’s face and body resulting from lack of oxygen. Isabel said that this was a very emotionally draining time for her. Isabel was very fearful and anxious concerning Winnie’s health, even though the medical staff assured her that Winnie would be fine. Winnie remained in the neonatal intensive care unit for 3 weeks before Isabel could take her home from the hospital. As an infant, Winnie had bouts of being fretful and colicky, and she had some difficulties keeping her food down. M rs. Kent recalled that at least twice a week, if not more, Winnie would lose almost half her intake in rather severe episodes of projectile vomiting. M rs. Kent was concerned and asked the pediatrician about it, but his response was that it was likely due to a sensitive and immature digestive system. He suggested they change the baby formula; that helped somewhat, but the matter never really resolved itself until Winnie was totally on solid food. M rs. Kent stated that even today, Winnie is a picky eater, and if she is upset, she tends to eat very little because her stomach is easily upset. M otor milestones were slightly advanced developmentally, and Winnie was sitting independently at 4 months, standing at 7–8 months, and walking at 10 months of age. Language development lagged behind motor skills. Winnie did not say her first word until about 15 months, and simple sentences were not produced until about 2½ years of age. Winnie had some articulation problems and substituted a few sounds, the most prominent of which were “w” for “r” (wabbit for rabbit) and “l” for “y” (lellow for yellow). The articulation errors stopped about a year ago. Currently, Isabel believes that Winnie’s speech is normal for her age, based on conversations between Winnie and her best friend Kate’s daughter, M olly, who is almost the same age as Winnie. At home, she described Winnie as very chatty and quite the conversationalist, with speech far more adult-like than childlike. Isabel described herself as somewhat aloof and not one to initiate a lot of social contact. She was fortunate that Kate lived across the street, since Winnie and M olly were about the same age and played very well together. Kate was more outgoing than Isabel and was often responsible for organizing activities for the foursome, such as outings to the park or attending movies or concerts. Isabel and her husband Frank rarely went out in the evenings, due to Frank’s long work hours, but when they did, Winnie would just go over and spend the night at Kate’s house with M olly. Similarly, M olly would spend the night with them whenever Kate and Brian went out for an evening. People often mistook Winnie and M olly for twins, since they were about the same age and looked somewhat alike. Unfortunately, about 9 months ago, Brian was suddenly transferred and the family moved out of state. Isabel said that until the separation, she never really realized how much time the four of them had spent together. Isabel said that she really misses Kate’s company and she is sure that Winnie must really miss M olly, too, although she does not talk about M olly very much. Isabel wondered if she were grieving in silence or just did not feel as strongly as an adult might. About 2 months after Kate and M olly left, Isabel decided to enroll in a Tuesday morning art class at the local gallery and enroll Winnie in a once-weekly preschool program for that morning. Isabel thought that this would be good for both herself and Winnie. However, when she tried to drop Winnie off at the preschool center, Winnie had a severe temper tantrum, attached herself to her mother’s leg, and began sobbing uncontrollably. Isabel was in shock since she had never seen such behavior from Winnie before. Isabel stayed with Winnie for the next half hour hoping that Winnie would calm down. Eventually, sobs dissipated into heaving sighs and Isabel decided to make another attempt to leave. On cue, Winnie’s sobs began again, this time even more violently and accompanied by screaming and begging her mother not to go. The preschool staff encouraged Isabel not to give in to Winnie at this point, since it would only make matters worse. Isabel left, without looking back, afraid if she saw Winnie, she would not be able to carry on. When Isabel returned 3 hours later, Winnie looked as though she was totally drained. She was engaged in subdued solitary play in the corner, rocking her doll. Her eyes were red and swollen from crying. The preschool staff said that she continued with her sobbing for quite some time after Isabel had left. That night, Winnie was like Velcro and refused to sleep alone. The whole ordeal was far more than Isabel had bargained for. The next night, had it not been for Frank’s insistence that Winnie sleep in her own bed, the nightly ritual probably would have continued. As it was, Winnie started calling out at night, and often Isabel would have to go into Winnie’s bedroom to comfort her. Isabel ended up sleeping in Winnie’s room the next night because Winnie had a nightmare that her mom had gone away. Isabel started leaving the light on in Winnie’s bedroom so she would not be afraid of the dark. The following Tuesday, Winnie started crying when Isabel began to prepare to leave. Winnie started to complain that her stomach was hurting and held on tightly to her stomach saying, “It hurts, it hurts.” Although Isabel could not be definite, she was pretty sure that Winnie was saying she was sick and wanted to stay home. Rather than give in, she picked Winnie up and carried her to the car, with Winnie sobbing and complaining about her aching stomach. The tears, the sobbing, the protests, and the aches and pains continued every Tuesday for the next 3 months. Eventually, Winnie would comply, but began to sit beside the preschool window waiting and watching for signs of her mother’s return. When they were home, Winnie was constantly in need of reassurance that her mother was all right and that everything was okay. Despite the difficulties, Isabel persisted in taking Winnie to preschool because kindergarten would be starting shortly, and Isabel knew Winnie had to become more prepared. Winnie was having considerable difficulty adjusting to preschool, which was only one day a week. How would she cope with kindergarten on a daily basis? She also needed more practice socially. She seemed so withdrawn at the preschool and didn’t seem to interact with the other children. Her teachers said that she was very cooperative, but she did not seem comfortable talking to anyone. Isabel was thrilled when a new family moved in a few doors down the road because they had a daughter Winnie’s age. Isabel really pushed herself to be more social and extended an invitation to the new mother and daughter to come over for afternoon tea. Winnie seemed to get along well with her new friend and soon they were playing together, much like she and M olly had. After a few months, Winnie was invited to a sleepover at Becky’s. Although the girls had planned the event for some time, Winnie began to get anxious just before it was time to leave. She asked an endless series of questions about what her mother would be doing in her absence. Isabel continued to reassure her that she was just going to take a bath and watch television. Winnie immediately became concerned that her mother might slip in the bathtub and if nobody else was home, she could drown. Isabel continued to attempt to calm Winnie’s fears. Finally, Becky and her mother came to pick up Winnie for the sleepover. Winnie’s goodbye hug was more like a desperate attempt to carry her mother along with her. Two hours later, Winnie was standing at the door, sleeping bag in tow, complaining that she had to come home because she did not feel well. Kindergarten finally started and after much struggle and distress, Isabel finally got Winnie to walk to school with her friend Becky. Winnie would walk beside Becky with her head bent down, constantly looking sideways to see if her mother was still watching from the outside steps. The school was only a block away, and Winnie told herself that if she looked really hard, she could probably see her house between the trees. At school, Winnie just seemed to go through the motions until it was home time. On the playground, she was always peering through the fence, trying to see her house. Her teachers were very patient and encouraging, and Winnie was cooperative, but she would not participate verbally in any activities that were going on. For the first month, her teachers thought it was just a case of reluctance to talk in the new environment. After all, Winnie did appear to be very shy, and her mother had cautioned the kindergarten teachers that Winnie was slow to warm up. They anticipated that it might take a while for her to feel comfortable talking to the teachers and the other children. However, 4 months had gone by and Winnie had not said a word. When asked a question, Winnie would nod her head in the affirmative or shake her head to signal “no,” but no words accompanied the gestures. Winnie would talk only to Becky at school and then only in whispers, until they got far enough away from the schoolyard that no one could hear. Then she would talk to Becky as if they were at home. REASON FOR REFERRAL Isabel finally brought Winnie to the pediatrician for help, not understanding why her daughter was giving the school situation the silent treatment. The pediatrician suggested that Isabel take Winnie to see a child psychologist, who could evaluate the causes of Winnie’s silent behaviors and suggest ways to best deal with this behavior in the school. ASSESSMENT RESULTS When Isabel contacted the psychologist at the clinic, prior to seeing Winnie in the clinic, the psychologist requested permission to observe Winnie in the classroom. Isabel was very much in agreement. After observing Winnie for a morning and interviewing her teachers, the psychologist sat beside Winnie and asked her to draw a picture for her. Winnie drew a picture of a little girl skipping. The psychologist found it interesting that the skipping rope surrounded the little girl’s head, as if her head were in a space capsule. The drawing was sophisticated enough, however, to suggest that Winnie was likely, at least, of average intelligence. The psychologist contacted Isabel and suggested she bring Winnie to the clinic for a comprehensive assessment. Isabel brought Winnie to the clinic the following week. Winnie would not go into the assessment room unless her mother came with her. Throughout the assessment, Winnie would not speak directly to the psychologist or answer any questions verbally. On occasion, Winnie would bend over toward her mother and whisper something into her mother’s ear. But even on these occasions, she would cup her hand around her mouth, blocking the psychologist from any entry into her verbal world. Winnie’s drawing of a person (Draw-A-Person) and Bender Visual M otor Gestalt designs were all within the average range. Scores on the Peabody Picture Vocabulary Test (PPVT-IV) also revealed an understanding of vocabulary that was above the expected level for her age (SS = 110). The psychologist asked Winnie’s teacher and mother to complete the Behavioral Assessment System for Children (BASC-2) Preschool Scales. Based on Winnie’s responses to the school setting, M rs. Kent rated Winnie in the clinical range for Adaptability; however, all other ratings were within the norm. Winnie’s teacher rated clinical elevations for Anxiety, Atypicality, Adaptability, and Social Skills. ISSUES, TRENDS, AND TREATMENT ALTERNATIVES Separation Anxiety Disorder (SAD) Separation anxiety disorder (SAD) is the first anxiety disorder listed in the DSM -5 (APA, 2013) which presents the anxiety disorders in order of developmental onset. According to the DSM -5, SAD is “the most prevalent anxiety disorder in children younger than 12 years” (p. 192). Anxiety disorders can result from a combination of genetic factors (heredity, inhibited temperament) and environmental factors, such as cumulative risks, exposure to traumatic events/repeated exposure to negative outcomes, and overprotective parenting practices (Ollendick, Vasey, & King, 2001; Vasey & Dadds, 2001). Although most infants go through normal anxieties related to separation from caregivers, which usually decline after 2 years of age, for some children, separation anxiety may intensify and persist well into early childhood (Kearney, Sims, Pursell, & Tillotson, 2003). SAD is an intense emotional response resulting from excessive worry surrounding the possibility of separation from the caregiver. The DSM -5 (APA, 2013) lists a number of possible symptoms of the disorder resulting from excessive distress, fears of harm coming to the caregiver, and fears of being alone (see Glossary for the complete list of criteria). Because it is so painful for the child to separate from the caregiver, young children will often refuse to participate in activities that remove them from their caregiver. As a result, approximately 75% of children with SAD will demonstrate school refusal when it is time to begin school or refuse to return to school, following an absence due to illness or a school move (Black & Uhde, 1995; Kearney & Albano, 2004). SAD is the most prevalent childhood anxiety disorder which accounts for one half of the referrals for mental health treatment for anxiety disorders (Cartwright-Hatton, M cNicol, & Doubleday, 2006). Shear, Jin, Ruscio, Walters, and Kessler (2006) found a prevalence rate of SAD in children to be approximately 4%, while one-third of those cases (36%) will continue to demonstrate symptoms of SAD in adulthood. While some research has linked SAD to problematic or chaotic home environments (Egger, Costello, & Angold, 2003; Kearney et al., 2003), other findings have suggested that children are at increased risk for SAD if their mothers were diagnosed with an anxiety or major depressive disorder (Biederman et al., 2001). Deiner and Kim (2004) found that mothers who reported feelings of separation anxiety, themselves, were significantly more likely to have children who evidenced social withdrawal and problems with self-regulation. In their study, Dallaire and Weinraub (2005) reported that children who were classified as insecurely attached at 15 months of age demonstrated significantly higher levels of separation anxiety at 6 years of age compared to securely attached peers. A major developmental task for children in the preschool years is the task of separation from caregivers, as many will initiate their first contacts with preschools or prekindergarten/kindergarten enrollments at that time. Although some children can manage this transition with relative ease or display only minor and temporary distress, research concerning parenting styles of parents of anxious children (e.g., more controlling, less warm/more critical, more overprotective) suggests that their less engaging style may serve to exacerbate preexisting anxious behaviors in children, especially when required to separate from the caregiver (Eisen, Engler, & Geyer, 1998). Selective Mutism Among the anxiety disorders discussed in the DSM-5 (APA, 2013), selective mutism is listed second in the anxiety disorder category based on developmental age of onset, preceded by SAD. Although selective mutism was initially thought to be a rare disorder (e.g., ranging between 0.03% and 1%), according to the DSM -5 (APA, 2013), some studies have found as many as 7 children in every 1,000 in kindergarten through second grade meet criteria for the disorder (Bergman, Piacentini, & M cCracken, 2002). Based on more recent research, prevalence rates have been estimated to range from 0.7% to 2% of early elementary school students, although researchers suggest that this may be an underestimate of true rates due to the lack of knowledge of the disorder (Cunninghan, M cHolm, & Boyle, 2006; Lescano, 2008; Schwartz, Freedy, & Sheridan, 2006; Sharkey, M cNicholas, Barry, Begley, & Ahern, 2007). Prevalence rates have been reported as disproportionately higher among female populations (Cohan, Chavira, & Stein, 2006; Cunninghan, M cHolm, Boyle, & Patel, 2004; Lescano, 2008; M endlowitz & M onga, 2007; Sharkey et al., 2007). There has been controversy about how the disorder should be conceptualized relative to other childhood or anxiety-related disorders. Although the DSM -IV-TR (APA, 2000) placed selective mutism among one of the five disorders listed under the category of “Other Disorders of Infancy, Childhood or Adolescence” (ASD; reactive attachment disorder; stereotypic movement disorder; and disorder of infancy, childhood, or adolescence NOS), the DSM -5 (APA, 2013) has located the disorder within the chapter on anxiety disorders. Since a number of studies have found that children with selective mutism also meet diagnostic criteria for social phobia (social anxiety disorder), although earlier studies suggested that selective mutism be considered as a subtype of social phobia (Black & Uhde, 1995; Kristensen, 2000), more recently, Cunninghan et al. (2006) provide evidence in favor of considering two subtypes of selective mutism (generalized versus specific mutism), similar to subtypes of social phobia, although their study suggests that both types share significant socially phobic behaviors and deficits in social skills. Selective mutism is considered a disorder of “younger children” with the average age of onset ranging from 2.7 to 4.1 years (Cunninghan et al., 2004; Garcia, Freeman, Francis, M iller, & Leonard, 2004). Although symptoms of the disorder are usually present by the age of three, researchers emphasize that there may be a lag between actual age of onset and when the disorder is actually detected, since oftentimes the disorder does not manifest until the child is school aged (approximately 5 years of age) and is required to speak in the classroom, outside their usual comfort zone (Cunninghan et al., 2006; Sharkey & M cNicholas, 2008). Since onset of the disorder often coincides with initial school entrance, an underlying feature of the disorder may be school refusal. However, the DSM attempts to control for this issue by criteria which state that the disorder must be present for at least one month “not limited to the first month of school” (APA, 2013, p. 195). Issues regarding how the disorder should be conceptualized have affected research, diagnosis, assessment, and treatment. There has been significant debate regarding whether selective mutism should best be conceptualized as an early precursor to social phobia (Krysanski, 2003). However, while selective mutism has onset most likely in the 4- to 7-year range, social phobia is most likely to have onset in adolescence, which makes this line of reasoning difficult to support for some researchers. While early theorists suggested that selective mutism might be the result of trauma or major life events, such as child abuse or death of a family member (Dow, Sonies, Scheib, M oss, & Leonard, 1995), more recent findings have refuted these claims (Gray, Jordan, Ziegler, & Livingston, 2002) finding no history of trauma of major life events in the history of children with selective mutism. Current theories tend to support the notion that selective mutism seems to develop from an interplay of genetic and environmental factors (Cohan, Price, & Stein, 2006). Similar to families of children with SAD, families of children with selective mutism have also been described by characteristics that mirror specific anxiety symptoms such as being more isolated and refraining from social contact (e.g., Remschmidt, Poller, Herpertz-Dahlmann, Hennighausen, & Gutenbrunner, 2001). Parents have been described as overprotective, and families of children with selective mutism have been seen as socially less active and less involved in outside activities, such as participating in recreational outlets (Vecchio & Kearney, 2005). Numerous studies have documented that anxiety disorders can have a genetic basis. Research has found that parents of children diagnosed with selective mutism are also more likely to exhibit signs of moderate to severe anxiety (Kristensen & Torgerson, 2001; Schwartz et al., 2006). In one study, Schwartz et al. (2006) reported that 33% of the participants in their study reported a family history positive for a diagnosis of social anxiety disorder, while 12.1% of the families had family members who actually had experienced selective mutism, as a child. Presently, conceptualizations of selective mutism support strong links of the disorder with other anxiety disorders, especially social phobia (Cunninghan et al., 2006; M cHolm, Cunningham, & Vanier, 2005; Sharkey & M cNicholas, 2008). Social phobia often results in the restriction of social interaction or communication with others due to fears of being negatively scrutinized by others. Although many children may be shy in social situations, or have specific fears, phobias are irrational fears that result in behaviors motivated to avoid the fearful situation or object (M cHolm, Cunninghan, & Vanier, 2005) resulting in children with selective mutism developing a fear of talking in public that is exacerbated to be anxiety. However, unlike shyness, which is often overcome with increased familiarity, “individuals with selective mutism do not fully overcome their anxiety without formal intervention” (Composano, 2011, p. 48). Aside from reluctance to engage in verbal communication, many children with selective mutism also demonstrate other symptoms of inhibition (M cHolm et al., 2005). Kristensen (2001) found that children with selective mutism also shared symptoms of limited smiling, avoidance of eye contact, blushing, fidgeting, and tantrum behaviors. There have been a number of suggestions regarding how to best classify variants of the disorder. Although initially called elective mutism (DSM-III; APA, 1980), current emphasis is on the “selective” nature of those individuals that the child will speak to. As noted earlier, Cunninghan et al. (2006) suggested classifying groups with selective mutism along criteria used for social phobia: generalized (for those whose symptoms are demonstrated across a variety of situations) and specific (for those whose symptoms are restricted to speaking in classrooms at school). Cunningham et al. (2006) found that children with the generalized variant of selective mutism experienced more symptoms of obsessive thinking, somatic complaints, and depression and were less proficient socially than controls, leading the authors to suggest that the generalized variant was the more severe form of selective mutism, although as previously mentioned, both groups shared similar significant results when compared to controls. Beidel and colleagues (Beidel, Turner, & M orris, 1999) outline several areas of social anxiety in children that might be seen to overlap with selective mutism, such as fears of reading aloud in class, joining in on conversations, speaking to adults, and starting conversations. Vecchio and Kearney (2005) found that all children who were diagnosed with selective mutism in their study also received a diagnosis of social anxiety disorder, while 53% received an additional anxiety disorder diagnosis. Comparing parent and teacher ratings for internalizing problems in the selective mutism group and the anxiety disorders group, the researchers found minimal between-group differences, suggesting a high degree symptom similarity between these two groups. Cunninghan et al. (2004) found that parent and teacher ratings for symptoms of anxiety and obsessive compulsive disorder were significantly higher for children diagnosed with selective mutism compared to controls, while Bergman et al. (2002) also found that teachers rated children with selective mutism significantly higher than controls on scales measuring internalizing, withdrawn, and anxious/depressed symptoms. The above findings demonstrate consistent support for conceptualizing selective mutism as an anxiety-based disorder. There is a wide range of variability in social skills development among children with selective mutism (Amir, 2005). Amir (2005) suggests that although most children with selective mutism will be unable to communicate verbally with an adult, patterns of interaction with peers define three different variants of selective mutism: children who are able to interact easily with peers inside and outside of the home; children who will interact with peers but not communicate verbally; and children who isolate themselves and withdraw in social settings. TREATMENT FOR SEPARATION ANXIETY DISORDER AND SELECTIVE MUTISM Separation Anxiety Disorder (SAD) Although anxiety disorders are often treated using cognitive behavioral therapy (CBT), younger children are often less receptive to CBT due to their restricted level of cognitive skills (Grave & Blissett, 2004). Given the demonstrated influence of parenting style on child behavior and possible genetic transmission of SAD, it is not surprising to see research focusing on parent management training as a possible treatment for SAD. One such parent training program is Parent–Child Interaction Therapy (PCIT; Brinkmeyer & Eyberg, 2003), an empirically supported treatment program based on attachment and social learning theories that was originally developed to reduce disruptive behaviors in children. PCIT has been adapted to meet the needs of children with SAD and their parents and evaluated in a number of current research studies (Choate, Pincus, Eyberg, & Barlow, 2005; Hood & Eyberg, 2003 ; Pincus, Eyberg, & Choate, 2005; Pincus, Santucci, Ehrenreich, & Eyberg, 2008). The program has been tailored to suit children in the 4–8-year range (Pincus et al., 2005). The original program consisted of two phases: Child-Directed Interaction (CDI) and Parent-Directed Interaction (PDI). The CDI component of the program targets changing the quality of the parent–child relationship. The actual length of the program depends upon the parent’s ability to master the skills; however, the original average number of weekly one-hour sessions was 13 sessions. Focus during these sessions is on positive interactive skills (increasing warmth, responsiveness, attention, and praise for appropriate behavior) and consistent ignoring of undesirable behaviors. The overall goal is to improve the security of attachment between parent and child, thereby reducing the fear of separation in the future (Pincus et al., 2005). A later revision of the protocol reduced the number of sessions to 9–10 with 3–4 sessions for CDI and 3 PDI sessions. A new phase (3 sessions) was added called Bravery-Directed Interaction (BDI) to address specific anxiety concerns and assist parents in helping children to approach previously avoided situations (Pincus et al., 2008). The BDI sessions included psychoeducation to teach parents about the nature of anxiety (etiology, symptoms, feelings) and included assistance in progressive introduction of the child to the feared situation. Tools used to increase separation behavior are the Bravery Ladder (progressive list of steps in the process of separation) and Reward Store (list of rewards to be achieved for each step completed). Children are engaged in choosing the steps of exposure for weekly assignments to encourage autonomy. In a recent study of CBT for youth (7–14 years of age) with a principal diagnosis of SAD (47), generalized anxiety disorder (88), or social phobia (63), Suveg et al. (2009) found comparable results for individual child-focused CBT and child-focused family CBT in decreasing symptoms and improving adaptive functioning. Furthermore, a family-based education support and attention approach (a 16-session treatment featuring education about youth anxiety and providing attention and support, but not including any training in how to manage anxious responses or exposure tasks) also proved to be equally effective. Selective Mutism Researchers emphasize that the most effective treatment for selective mutism is treatment that is implemented as soon as symptoms are evident (e.g., Schwartz et al., 2006; Stone & Kratochwill, 2002) in order to reduce the negative reinforcement associated with avoidant behaviors. Although early treatment focused primarily on psychodynamic approaches due to the initial thoughts that selective mutism was the result of early trauma, more recently, treatments of behavioral, cognitive behavioral, and familybased therapy have all provided approaches to the treatment of selective mutism. From a psychodynamic perspective, play therapy (Terr, 2008) and music therapy (Amir, 2005) have both provided venues for children to explore their emotions in a “safe” and “nonthreatening” environment. In their review of treatments for selective mutism, Cohan et al. (2006) found that the most frequent and successful treatments involved behavioral interventions and/or cognitive behavioral interventions. From a behavioral perspective, therapy is focused on the goal of decreasing anxiety and increasing verbal communications in difficult settings, such as a school environment (Cohan et al., 2006). Some of the most common behavioral methods used for selective mutism include shaping, self-modeling, and contingency management (systematic desensitization) to increase verbal communication and lower anxiety. Shaping involves breaking down the target of verbal communication into very small steps and gradually building to higher forms of verbal communication; for example, the therapist begins with reinforcing mouth movements and sounds resembling speech (M endlowitz & M onga, 2007). Graduated behavioral exposure treatments (systematic desensitization) can also be very helpful in the treatment of selective mutism (M cHolm et al., 2005; Stone, Kratochwill, Sladeczek, & Serlin, 2002). Lescano (2008) suggests that contingency management is often used in conjunction with systematic desensitization allowing for the counselor to set goals that increase in difficulty and provide the appropriate rewards for each of the levels successfully mastered. Cognitive behavioral methods emphasize changing an individuals anxious thoughts to more neutral ways of thinking. Although the approach has been successful with older children, the focus on learning techniques to manage anxious thoughts (Chansky, 2004), there are limitations for the use of CBT for very young children due to cognitive limitations, although Fung (2002) recently adapted a CBT program for children (Coping Bear Workbook; M endlowitz et al., 1999) into a web-based Internet program for selective mutism and reports success in alleviating symptoms of selective mutism in a 7-year-old child. In addition, CBT can be successfully applied to parent and familybased treatment approaches (Chansky, 2004) to assist parents in developing skills to assist children in recognizing their physiological responses and how these relate to behaviors that are associated with anxiety. CBT techniques can also assist with behavioral interventions, especially if a child responds to the therapy session with anxiety. Children who are taught relaxation techniques, such as breathing techniques, muscle relaxation, or story telling (Sharkey & M cNicholas, 2008) to assist with anxiety, may also benefit from using these techniques to reduce anxiety during their therapy sessions (Cohan et al., 2006). Practice in techniques and skills to assist with anxiety management can often be integrated into parent and family-based sessions to assist children in developing methods to cope with anxiety (M endlowitz & M onga, 2007). Given the environmental impact of the school setting on selective mutism, the importance of including members of the child’s school community in the treatment process must be emphasized. Researchers have demonstrated that for children diagnosed with selective mutism collaboration between parents, teachers, and counselors can significantly impact treatment outcomes (Kumpulainen, 2002; Lescano, 2008; M cHolm et al., 2005). Vecchio and Kearney (2007) emphasize the importance of using a team approach in the schools to counteract the “widespread” nature of child’s reluctance to speak within the school setting. Pharmaceutical interventions have demonstrated success with the use of fluoxetine in the reduction of social fears in children with social phobia suggesting that fluoxetine reduces arousal in social settings (Beidel and Turner, 2005), and although not generally recommended in isolation, medications can often be very helpful accompanying other CBT or behavioral interventions (Kumpulainen, 2002). Since researchers have reported a significant association between selective mutism and anxiety disorders in general and social anxiety disorder (social phobia) in particular, it has been suggest that selective serotonin reuptake inhibitors (SSRIs) or monoamine oxidase inhibitors may be helpful in the treatment of children with anxiety disorders in general and social anxiety disorder (social phobia) in particular (Garcia et al., 2004; Kearney & Vecchio, 2007; Vecchio & Kearney, 2005). However, the fact that the medication does not increase social skills (Beidel and Turner, 2005) suggests that combinations of this medication with social skills instruction might be helpful in treating children with selective mutism. Post-Case Questions 1. Does Winnie meet the DSM -5 criteria for SAD and selective mutism? If so, what symptoms are evident? If not, why not? The DSM -5 criteria are available in the Glossary. 2. There are several models that can be advanced to explain the sequential development of internalizing disorders, such as anxiety disorders, and the factors that might be responsible for variable outcomes, including temperamental and environmental factors. M anicavasagar, Silove, Rapee, Waters, and M omartin (2001) found support for genetic influences in the transmission of anxiety, in that 63% of children with a diagnosis of SAD also have a parent with clinical levels of anxiety. Other researchers have emphasized the role of environmental factors in SAD, serving to enhance cognitive vulnerabilities (anxiety sensitivity, intolerance of uncertainty, fear of negative evaluation) in triggering anxious responses (Hong, 2013; Hong & Cheung, 2015). Hong, Lee, Tsai, and Tan (2017) suggest that this sense of cognitive vulnerability and the accompanying pervasive sense of unpredictability and uncontrollability regarding internal and external environments develop from the child’s feelings of emotional distress resulting from their inability to cope with adversity early in life. Consistent with a diathesisstress model, Shell, Gazelle, and Faldowski (2014) found that that anxious solitude (individual vulnerability) and that major school transitions, such as middle school transition (environmental stress), together, increased the likelihood of peer exclusion and victimization.From the perspective of the diathesis-stress model, an inherited genetic vulnerability to anxiety may remain dormant until environmental conditions are adverse (peer rejection; family conflict; parent psychopathology; school transition), causing the disorder to become overt. In addition, temperamental factors such as behavioral inhibition (BI) may also account for why one child may be more vulnerable to stressful or unfamiliar surroundings than another child. Children with BI have often been described as hypervigilant of their environments and are particularly wary of novel or unfamiliar social situations, tending to withdraw from social interaction (Degnan, Almas, & Fox, 2010). Discuss how Winnie’s separation anxiety and selective mutism might be explained using the diathesis-stress model. 3. There are a number of possible theories that can be suggested to account for the etiology or development and onset of SAD. There is support to suggest that children with SAD come from families that share a greater prevalence for anxiety and mood disorders (M anicavasagar et al. (2001). Attachment theory might predict that an anxiously attached infant might be more prone to develop SAD than a securely attached or resistant infant. Discuss the onset and development of Winnie’s SAD as a psychologist from each of the following perspectives: behavioral, cognitive, and psychodynamic. Suggest possible treatment alternatives that might be developed for each of these perspectives relative to probable cause. 4. Discuss how selective mutism might be influenced by the various contexts of development, using Bronfenbrenner’s model: individual characteristics, immediate environment, social and economic factors, and cultural factors. 5. Develop a case formulation for Winnie based on factors discussed in Chapter 1, “Introduction: Understanding the Complexities of Child and Adolescent Psychopathology,” from the perspectives of the family systems and attachment theories. What therapeutic interventions would you recommend that are consistent with these frameworks. 6. Suggested individual or group presentation activity: The principal has called a parent/school meeting to discuss concerns about Winnie’s poor social interactions skills and her lack of verbalization. Assign roles to individuals who will roleplay important supports in Winnie’s life and how they would interact in this situation. Develop important questions for each of the players who can add information to the case. Some of the casting members might be Winnie’s parents, teacher, psychologist who observed Winnie in the classroom, and any other individual that you feel might contribute to an understanding of the case and assist with developing an overall case formulation and treatment plan. REFERENCES American Psychiatric Association (APA). (1980). Diagnostic and statistical manual of mental disorders (3rd. ed.). Washington, DC: Author. American Psychiatric Association (APA). (2000). Diagnostic and statistical manual of mental disorders (4th ed., text rev.). Washington, DC: Author. 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Clinical Case Studies, 6(1), 34–43. CASE 14 SHIRLEY YONG : WORRIED TO PERFECTIONGENERAL ANXIETY DISORDER; DEPRESSION; RELATIONAL AGGRESSION; CULTURAL CONFLICT; TRICHOTILLOMANIA Shirley was referred to the clinic by her family physician, Dr. Long, to evaluate her emotional status. For the past 6 months, Shirley has been suffering from alopecia (hair loss), which has resulted in a prominent bald spot on the side of her head. Shirley was wearing a hat when she came to the interview accompanied by her mother, Lilly. Shirley presented as a serious young girl who looked more mature than her age of 11 years. Shirley was currently attending Heartfield M iddle School in the regular Grade 6 program. Shirley has one younger sibling, a brother, David, who is 4 years of age. Lilly Yong is a nurse and her husband, David, is a computer programmer. The Yongs came to the United States from China when David was offered a position as a senior computer programmer with an American-based firm. The move occurred approximately 4 years prior to Shirley’s birth. Lilly began working soon after their arrival in the United States. With a background in nursing, Lilly was able to obtain a position very quickly, due to a nursing shortage. DEVELOPMENTAL HISTORY/FAMILY BACKGROUND Shirley weighed 7 pounds 5.5 ounces at birth. Shirley’s mother described the pregnancy as difficult and the labor as lengthy (12 hours). Although the delivery was normal, there were minor complications due to meconium aspiration, and Shirley stayed overnight in the pediatric critical care unit. Lilly said that to her knowledge, Shirley was relatively easy to manage as an infant and for the most part slept well and had a good appetite. M rs. Yong admitted, however, that Shirley’s early years were spent primarily under the care of her mother, Shirley’s grandmother. Shortly after Shirley was born, Lilly’s widowed mother came from China to live with the Yong family. This situation provided Lilly with a full-time caregiver for Shirley and, as a result, Lilly was able to return to work at the hospital almost immediately. The situation was also helpful for Lilly’s mother, who was grieving the loss of her husband. When asked about other extended family, Lilly was not eager to discuss the extended family, saying that she had lost contact with most of her relatives. Lilly stated that to her knowledge there were no known mental or physical difficulties for any of the extended family members. With the exception of her mother, all other extended family continued to reside in China. Although Lilly could not recall much information about Shirley’s early development, she did believe that developmental milestones were generally achieved within the norm. There were some difficulties with speech, however, and Shirley did not say her first word until 18 months of age. Lilly remembered this vividly, since a colleague at work had an infant boy who was already saying words at 13 months, and Lilly felt that Shirley should have been talking by then as well. She had read that, generally, girls begin to speak earlier than boys and felt that the delay was unusual. The concern actually resulted in a fight between Lilly and her own mother, since Lilly began to blame her mother for Shirley’s speech delay. Lilly was worried that Shirley’s language delay may have resulted from the use of both Chinese and English in the home. Despite Lilly’s protests, her mother continued to speak to Shirley exclusively in Chinese, while Lilly communicated with Shirley only in English. Although Shirley was described as a relatively timid and passive toddler, Lilly admitted that there were times when Shirley could become quite irritable or fussy. On these occasions, Shirley would experience problems falling or staying asleep. Lilly recalled these incidents because they were very annoying and disruptive to her schedule. Being a nurse, Lilly needed her sleep to survive the lengthy shifts at the hospital. When Shirley had those fretful and irritable nights, it was impossible to get any sleep or to soothe Shirley. Shirley remained very close to her grandmother, who was her primary caregiver, until the grandmother’s death 7 years ago. Shirley’s grandmother passed away in her sleep of natural causes when Shirley was 4 years of age. When asked how Shirley responded to her grandmother’s death, Lilly said that the whole family was very distraught. Not only had they suffered a great personal loss, but now they had to face child care problems as well. Shirley could not adjust to the new babysitters and would cry endlessly when her mother left for work, only to refuse to being comforted upon her return. Fretfulness, eating difficulties, and sleeping problems were prominent during this period. After an endless parade of babysitters, Lilly eventually had to quit work and stay home to care for Shirley. Lilly readily admitted that this was not an easy time for both of them. Shirley’s demands for consoling were exhausting and frustrating, and Lilly longed for the days when she could return to work at the hospital. Lilly enrolled Shirley in a half-day M ontessori program and was very adamant that Shirley do well in the program. However, she was unhappy with the multi-aged grouping principle and did not like the fact that Shirley’s classmates ranged from 2 to 6 years of age. After one month, she removed Shirley from the program and placed her in a “private learning center” which was designed to escalate academic skills in children and prepare them for entrance into the traditional school environment. When Shirley would come home from the program, her mother would insist she do homework at the kitchen table. Shirley was only allowed to watch television on Saturdays. Lilly welcomed Shirley’s sixth birthday, since this signaled mandatory schooling and some relief from parenting demands. Shirley was able to find work as a nurse in a physician’s office, which meant that she did not have to contend with shift work in the evenings. For the next year, Lilly did not tolerate Shirley’s complaints about her school, the teacher, and her classmates. Lilly constantly reminded Shirley that when she was a child in China, no one was allowed to complain, you just did your work, and did what was expected of you. Lilly often felt a sense of relief after she dropped Shirley off at school and went to work. However, after a year of working, Lilly found out that she was pregnant, and 7 months later, Lilly was again homebound with her new son, David Jr. Shirley was now 7 years old and did not adjust well to having a baby brother who was able to stay home with her mother while she was forced to go to school. M ornings were often disruptive and chaotic. Shirley would compete with David’s cries for food with her own complaints of stomachaches or headaches and asking to stay home from school. Lilly reminded Shirley constantly that complaining was not allowed and that she needed to keep those types of concerns to herself because she was not really sick. Lilly refused to give in to Shirley’s demands and instead demanded that she be more successful in school. Shortly after the birth of David Jr., Lilly was diagnosed with postpartum depression, which manifested in fatigue, loss of pleasure in activities, overwhelming bouts of sadness, and self-blame. During this time, Lilly was increasingly demanding of Shirley and when she came home from school, after her homework time, she was expected to also help out with the baby and to assist with household chores. Because her mother was so demanding, Shirley tried to keep everything spotless and would immediately pick up David’s toys, sometimes almost before they hit the floor. Lilly says that all the cleaning Shirley did as a child may have backfired somewhat, because Shirley can now be “a real neat freak” to the extent that others find it annoying. Shirley will often become very upset at David Jr. for playing with toys in an area that she has cleaned. She is always at him to clean up and put his toys away before he has even had a chance to play with them. Shirley’s own bedroom is arranged to perfection, with a place for everything and everything in its place. Shirley has asked for a lock for her door to make sure David Jr. does not go into her room or touch her things. REASON FOR REFERRAL Shirley was reticent throughout the initial part of the interview and did not volunteer any information spontaneously. Lilly said that she was concerned most recently because Shirley was demonstrating more tension and mood swings than she had seen before. The hair loss was particularly upsetting for both mother and daughter, and Lilly mentioned that it was embarrassing for her to be seen with a daughter who was partially bald. She described her daughter as being more moody and short-tempered in the past few months. She also thought that her daughter was starting to be more secretive and not sharing information about what she was doing at school. Shirley would often come straight home after school and go right up to her room, where she locked the door. A call from Shirley’s teacher last week revealed that Shirley was not handing in her assignments and that she was falling behind the class, especially in her journal writing. Of course, Lilly was extremely upset that Shirley was not being successful at school, after all the effort she had put into getting Shirley ready for school and the high expectations she had created. When Lilly confronted Shirley about the missing assignments, Shirley stomped into her room and slammed the door. Lilly said that this was totally unacceptable behavior from her daughter. She also complained that Shirley was spending more and more time in her room and less time with the family. When asked what she was doing in her room, Shirley would say that she was working on her homework. Lilly said that she did not believe her because the teacher said the assignments were not being completed. When asked about stress in her life, Shirley looked at her mother and then responded to the interviewer in a disgruntled manner. Attempts to engage Shirley in a conversation about her school life also met with minimal response. However, when asked how she was feeling, physically, Shirley said that she was not feeling very well and complained of headaches, stomachaches, and feeling very tired. Lilly interjected that Shirley was very quick to complain and that complaining was not allowed in her culture. M ore recently, Shirley’s mother had found her getting up in the middle of the night making herself a snack at midnight. Lilly said that this seemed to be becoming a nightly ritual. (Although it was not addressed in the interview due to Shirley’s guarded nature, Lilly had mentioned when making the appointment that Shirley was putting on much weight recently and had gained about 10 pounds in the past 2 months.) Shirley was obviously upset by her mother’s comments and responded defensively, saying, “Well, I was hungry because I didn’t like the tofu stuff you made for dinner. It was awful … like eating chalk.” When asked if she could change one thing in her life, Shirley’s eyes filled with tears and she said, “Everything.” With encouragement and patience, Shirley began to outline some of her worries about herself and her school situation. Shirley said that reading had become harder and harder because she could not concentrate. She would read a page and then not remember what she had read. She wanted to make her work very neat, and so she would print out all her assignments. Often she would work long hours making sure that the printing was perfect. M any times, she would have erased so many words that she would have to start all over again from the beginning on a fresh piece of paper. It took so long to print her work that she had problems finishing the assignments. Shirley said that she received only a “C” on the last assignment she handed in because it was incomplete. Shirley said she did not tell her mother about the paper because she was embarrassed about her grade and felt guilty that her mother would be ashamed of her. When asked about social life at school, Shirley admitted that she was miserable socially. Shirley said that she had no friends and the girls at school teased her. They were calling her names and laughing at her bald spot, saying that she was going to be a “bald old fat man.” She had also found a note hidden in her desk from someone, with a drawing of a fat, bald person with the label “Shirley” written across the top. One girl had started a rumor that Shirley was contagious and that if you touched her, your hair would fall out too. Now no one would even stand beside her in line. Shirley was so upset the other day that she just hid in the restroom during recess so she would not have to go outside. When asked if she knew why her hair had fallen out, Shirley denied that she had anything to do with it. Her mother seemed incredulous that the interviewer would ask Shirley if she had been pulling out her own hair. When asked if she was a worrier, Shirley looked concerned and said that she could not stop worrying and added, “I worry about doing poorly at school; I worry about being late for school; and I worry about making mistakes in my work. I worry so much that I keep waking up because I think I forgot to do something, or I am afraid I might sleep in and be late for school. I can’t sleep so I straighten and clean my room or go to the kitchen and eat something. But then I can’t remember if I have cleaned the kitchen, so I go back and check on it. Sometimes, I have to keep checking because I don’t remember seeing it clean enough.” In response to Shirley’s list of concerns, Lilly shook her head and said, “Kids today, what can you do about them.” She then looked at Shirley and in an attempt to minimize her difficulties stated that Shirley was exaggerating her problems. In China, she said, we did what we were told and worked hard at our schoolwork. That was our job. We did not have time to complain about all these things. In our culture, we value emotional restraint, not self-indulgence. ASSESSMENT RESULTS The actual raw scores for Shirley’s assessment can be found in Appendix A. The following is a summary of those findings. Information regarding specific assessment instruments and the interpretation of standard scores and T scores is available in Appendix C. Shirley’s responses to the WISC-V were notable. The examiner reported that Shirley lost bonus points due to slow task completion resulting from tendencies to waste time lining up edges to meet perfectly on the block designs. M ultiple responses to verbal items were also observed, as if Shirley were unsure when to stop giving information. Requests for feedback were also frequent. Shirley’s full scale IQ was in the lower average range (IQ = 85; range 81–91) with a significant strength in Verbal Comprehension Index (VCI) with an index score of 100 (range 93–107), which was in the average range. Generally, weaknesses were evident in tasks measuring the Visual Spatial Index (VSI) with an index score of 84 (range 79–93); Fluid Reasoning Index score of 86 (range 82– 95); Working M emory Index with a score of 83 (Range 77–92); and Processing Speed Index (PSI), with an index score of 83 (range 76–94). Academically, Shirley was functioning at grade level in language arts (Grade 5 level on both decoding and comprehension), but she was approximately one year behind grade placement in math computation. Shirley’s mother’s response to Child Behavior Checklist (CBCL) noted significant elevations on all Internalizing scales: Withdrawn/Depressed (T score = 68; borderline clinical range) and Anxious/Depressed (T = 73) and Somatic Complaints (T = 74) were all in the clinical range. In addition, Thought Problems (T = 73) were in the clinical range due to many obsessions and repetition of acts, while Attention Problems (T = 70) were also in the clinical range, evident in problems of concentration and frequent confusion. On the Conners scales, M rs. Yong also endorsed clinical levels for Inattention, Anxious-Shy, Perfectionism, Social Problems, and Psychosomatic concerns. Shirley’s teacher responded to the TRF with clinical elevations on scales for Anxious-Depressed M ood (T = 72) and Thought Problems (T = 70) noted in obsessions and repetitive behaviors. On the Conners scales, Shirley’s teacher indicated significant concerns in areas of Inattention, Anxious-Shy, Perfectionism, and Social Problems. According to the YSR, Shirley self-reported significant concerns for all Internalizing scales: Withdrawn/Depressed, Somatic Complaints, and Anxious/Depressed symptoms, as well as Social Problems and Thought Problems. Other problems noted by Shirley included many fears, nightmares, nail biting, sleep problems, and concerns regarding being overweight. On the Beck Youth Inventories of Social and Emotional Impairment, Shirley endorsed significantly low levels for Self-Concept (below the 4th percentile) and significantly high levels of anxiety (98th percentile) and Depression (95th percentile). Clinical levels of depression were also noted on the Child Depression Inventory (CDI; Kovacs, 1992), with significant concern in areas of Ineffectiveness, Anhedonia, and Negative Self-Esteem. On the CDI, Shirley admitted that she thinks about killing herself, but would not do it. Shirley scored just below the threshold for high hopelessness on the Hopelessness scale (Kazdin, Rodgers, & Colbus, 1986). ISSUES, TRENDS, AND TREATMENT ALTERNATIVES Anxiety disorders represent one of the highest prevalence rates for disorders. In their review of research, M ichael, Zetsche, and M argraf (2007) found that the lifetime prevalence rates for an anxiety disorder in Western countries was between 13.6% and 28.7% with the highest risk rates for developing an anxiety disorder to be between 10 and 25 years of age. Other risk factors that surfaced included “female gender, behavioral inhibition, and negative life events” (p. 136). According to the DSM -5 (APA, 2013), when considering a diagnosis of general anxiety disorder (GAD) in children, “a thorough evaluation for the presence of other childhood anxiety disorders should be done to determine whether the worries may be better explained by … separation anxiety disorder, social phobia, and obsessive compulsive disorder” (p. 224), since these disorders may present with symptoms that can “appear” to be symptoms of GAD. There is also a likelihood that GAD symptoms of “restlessness” and “concentration problems” may be mistaken as symptoms of attention deficit/hyperactivity disorder. In addition to the various forms of anxiety disorders, diagnosis in childhood is further complicated by some disorders appearing early and others manifesting at later developmental stages. One study reported an increase in prevalence rate for anxiety disorders from 7% at 11 years of age to almost 20% in early adulthood (Kovacs & Devlin, 1998). High rates of comorbidity are evident within the anxiety disorders, with some studies suggesting that that three-quarters of people with a lifetime anxiety disorder also met criteria for at least one other mental disorder (Kessler et al., 1997). In addition to comorbidity with other disorders, many individuals who have an anxiety disorder also meet criteria for more than one anxiety disorder. The most common combinations include GAD and panic disorder and panic disorder and agoraphobia (M ichael et al., 2007). Among other disorders, there is a strong association between the anxiety and affective disorders (mood disorders or depressive disorders). When individuals experience both anxiety and affective disorders, there is a strong likelihood (66%) that the anxiety disorder developed prior to the affective disorder (Kessler, 2001). M any adults with anxiety and depressive disorders report that these problems had their onset in childhood, indicating that anxiety disorders can represent a stable construct across the life span (Ollendick & King, 1994). For children and adolescents with GAD, concerns and worries often focus on their performance academically or athletically even if competence in these areas is not under the evaluation and scrutiny of others (APA, 2013). According to researchers (Van Ameringen, M anicini, & Farvolden, 2003), children with anxiety or depression are at increased risk for having academic issues, relative to their peers, and exhibit more difficulties with their peers and parents (Bergeron et al., 2007; Greco & M orris, 2005). In childhood, rates for comorbidity of anxiety and depression have been reported to be as high as 60%–70% (Kovacs & Devlin, 1998), which led to early theorists to speculating that in childhood “negative affectivity (NA)” may be a more accurate reflection of variations of the same syndrome (Laurent et al., 1999), rather than two unique disorders. Although there is support for this line of reasoning, based on high rates of comorbidity in childhood and the fact that developmentally, the onset of anxiety is earlier than the onset for depression (Kovacs & Devlin, 1998). In the past decade, research has focused on investigating the role of temperamental influences on increasing the risk for both disorders in children (Compas, Connor-Smith, & Jaser, 2004). Studies have demonstrated that children with high levels of NA are at increased risk for the development of anxiety and depression (Lonigan, Vasey, Phillips, & Hazen, 2004). With respect to anxiety, it has been demonstrated that an attentional bias toward threat can be an important factor in precipitating and maintaining anxiety problems (Dandeneau, Baldwin, Baccus, Sakellaropoulo, & Pruessner, 2007). M uris and Ollendick (2005) suggest that children who have a high tendency to react emotionally (high reactivity) and poor effortful control (EC) suffer from an inability to defer their attention from the bias to threat, resulting in increased fear (NA) and social withdrawal (internalizing problems). Other children who are also highly reactive, emotionally, but who have poor behavioral control may react aggressively (externalizing problems). Furthermore, Lonigan and Vasey (2009) suggest that while high NA is a necessary condition for anxiety, it is not a sufficient condition, and that low EC is also a required ingredient. Studies have found that these patterns (high NA, low EC) predicted internalizing problems in children (M uris, M eesters, & Bliglevens, 2007), and that fearfulness at age 10 predicted the development of internalizing symptoms 2–3 years later. In addition to the concept of “NA,” some researchers have shifted the emphasis to the underlying process of “perseverative thinking” that is embedded in anxious and depressive thoughts which may contribute to an emotional response style that links these two disorders (Bagby, Rector, Bacchiochi, & M cBride, 2004). This line of reasoning suggests that brooding (rumination) and worry both represent forms of perseverative thinking (Segerstrom, Tsao, Alden, & Craske, 2000), with rumination tending to dwell on events in the past and worry focusing on potential future events (Papageorgiou and Wells, 2004). According to their findings on anxiety and depression, Sorg, Vögele, Furka, and M eyer (2012) suggest that perseverative thinking has an influence on both negative and positive affectivity. Longitudinal studies have demonstrated that children who experience the combined effect of anxiety and depression have more severe and persistent problems, as well as present with a more serious history of risk factors (M offit et al., 2007). In addition to temperamental factors, such as NA and EC, contextual influences have also been related to the development of anxiety and depression in children. Some of the pathways that have been linked to anxiety and depression include family adversities and maternal distress (Essex et al., 2006; Rutter, M offit, & Caspi, 2006), which can be moderated by the availability or lack of social support (Leech, Larkby, Day, & Day, 2006). In a recent study of the potential pathways and predictors of anxiety and depression, Karevold, Roysamb, Ystrom, and M athiesen (2009) identified two main pathways: temperament (emotionality) and early family adversity in support of the concept of “equifinality” (Cicchetti & Toth, 1998), namely, that different pathways might lead to the same outcome. Leve, Kim, and Pears (2005) found that the combination of child shyness at 5 years of age and maternal distress predicted an increased trajectory for internalizing problems for girls in early, middle, and late childhood, through adolescence, while Essex, Klein, Cho, and Kraemer (2003) found that exposure to maternal depression, family conflict, or divorce from the preschool years forward increased the risk for internalizing problems in girls. Furthermore, Eaves, Silberg, and Erkani (2003) found that genes specific to depression can lead to an increased sensitivity to the impact of adverse life events, increasing the risk through genetic vulnerability in children of distressed mothers. Other factors in the family environment that have been associated with increased anxiety in children include overprotective or overly controlling parents, overinvolvement, encouragement of avoidant/anxious responses, parental rejection, parental criticism, and lack of parental warmth (Hudson & Rapee, 2002; M icco & Ehrenreich, 2008). Perfectionism can be conceptualized as an individual’s tendency to set goals or expectations that are overly rigid, excessively high, and subject to self-criticism when the exceptionally high standards are not met. According to Flett and Hewitt (2002), developmentally, perfectionism is a phenomenon that has its onset in childhood and adolescence. M iloseva and Vukosavljevic-Gvozden (2014) studied the relationship between perfectionism, anxiety, and depression among children 11–14 years of age. Their concept of perfectionism was evaluated using a scale that tapped items in four core areas: sensitivity to mistakes; contingent self-esteem; compulsiveness; and need for admiration. Results revealed that tendencies toward perfectionism were associated with increased likelihood of anxiety and/or depressive disorders. Pushed to the extreme, perfectionistic tendencies can place individuals at increased risk for a number of mental health issues, including depression (Enns & Cox, 2005; Rice & Aldea, 2006) and worry (Chang et al., 2007; Santanello & Gardner, 2007). Perfectionist tendencies may be evident in such areas as worry about punctuality, overdoing or redoing tasks in order to improve the quality of the product, and the need to seek constant reassurance about their performance (APA, 2013). Trichotillomania (TTM) In addition to symptoms of anxiety and depression, Shirley also suffers from symptoms of trichotillomania (TTM ), which manifests in persistent and excessive pulling out of one’s own hair, resulting in noticeable hair loss or alopecia. The most common areas affected include the scalp, eyebrows, and eyelashes. Since the dermatologist had already ruled out any medical cause for the hair loss, it was believed that Shirley was responsible for pulling out her own hair, although she and her mother adamantly denied this possibility. TTM was originally included in DSM -III-R in 1987 and at that time was formally acknowledged as a psychiatric disorder and was classified as an impulse control disorder (Stein et al., 2010). Within the DSM -5 (APA, 2013), TTM can be found in the chapter on “Obsessive Compulsive and Impulse-Related Disorders,” which includes other impulse control disorders, such as excoriation (skin- picking), pyromania, kleptomania, and pathologic gambling. The impulse control disorders all share an increase in tension, prior to the impulse, in this case hair pulling, and a sense of pleasure or relief once the act (hair pulling) is completed. It has been suggested that individuals with the disorder often deny their hairpulling behavior and try to conceal the results. Lochner et al. (2012) found that although not all individuals with TTM experience a preexisting urge to pull, almost all were in agreement that they continued to engage in hair pulling, despite repeated attempts to decrease or stop. Children may not meet criteria for the disorder because they may not be aware of the tension/release cycle. Nail biting is often also evident, as are symptoms of other disorders, such as the mood and anxiety disorders (especially obsessive compulsive disorder [OCD]) and eating disorders. Prior to the publication of the DSM -5, it was suggested that TTM might be more suited to inclusion among the anxiety disorders, especially because of its association with obsessive compulsive features. However, the relocation of OCD to this chapter, including TTM , accomplishes this goal. Onset is typically between 9 and 13 years, and children typically pull their hair when alone and in a relaxed situation: on the phone, watching television, reading, or falling asleep (Tay, Levy, & M etry, 2004). TTM may not be readily detected since hair pulling often takes place outside the presence of others and can be substituted by pulling hair from pets, dolls, or other hair-like fibrous materials, such as sweaters (APA, 2013). TTM can be triggered by a number of situations, including separation from an attachment figure, problems with school performance, birth of a young sibling, or sibling rivalry (Tay et al., 2004). Children with TTM also have more perfectionistic tendencies and low feelings of self-worth (Soriano et al., 1996). The disorder onset may be associated with the onset of puberty, and symptoms in females may be exacerbated by hormonal fluctuations (APA, 2013). TTM is often associated with significant impairment and distress that permeates social and emotional areas. The lack of control over hair pulling and the changes in appearance that can result often produce feelings of shame and embarrassment as well as tendencies to avoid social contact. Results from some studies suggest that hair pulling may serve a purpose in reducing negative emotions, with some individuals reporting pleasurable feelings or gratification during or after hair pulling, while others indicating boredom, tension, or anxiety before pulling episodes, with a significant reduction in negative emotions after hair pulling (Diefenbach, Tolin, M eunier, & Worhunsky, 2008; Roberts, O’Connor, & Bélanger, 2013). Cognitive behavioral models support the notion that individuals engage in hair pulling because the behavior is positively reinforced (production of pleasurable feelings) or negatively reinforced (removal of aversive consequences such as urges, tension, anxiety, or boredom) (Shusterman, Feld, Baer, & Keuthen, 2009). From a classical conditioning model, over time, situations and states (boredom, specific chair, certain activity) may become associated with and ultimately trigger urges (Franklin & Tolin, 2007). Treatment for TTM has traditionally included behavioral interventions such as habit reversal training; however, more recently, researchers have enhanced treatment protocols by combining traditional behavioral strategies with other cognitive behavioral interventions, such as cognitive therapy, dialectical behavioral therapy, and acceptance and commitment therapy (Snorrason, Berlin, & Lee, 2015, p. 105), which will be reviewed shortly in the section on Treatments of Anxiety Disorders. Treatments of Anxiety Disorders in Children Cognitive behavioral methods: In their review of empirically supported treatments for children with phobic and anxiety disorders, Ollendick and King (1998) found several treatments to be effective in reducing fears and phobias. However, with respect to anxiety disorders, the authors found only one treatment method, cognitive behavioral procedures, with or without family inclusion, that met criteria for the probably efficacious treatment category. Since that time, several studies have been conducted to determine the best CBT programs for anxiety disorders in children. Beidas, Benjamin, Puleo, Edmunds, and Kendall (2010) discuss important ways to adapt empirically supported programs (ESTs) such as the Coping Cat Program in ways that promote “flexibility within fidelity” (Kendall & Beidas, 2007; Kendall, Gosch, Furr, & Sood, 2008). The concept of “flexibility within fidelity” argues for the merits of using an EST such as a manualized treatment program (like the Coping Cat Program) while using clinical judgment in the application of those tools to the needs of the specific client. They provide a number of suggestions for how to adapt the two manuals of the Coping Cat (Instructor’s manual; Kendall & Hedtke, 2006a) and the Coping Cat Workbook (Kendall & Hedtke, 2006b). The article discussed recommendations for adapting the Coping Cat program to children and adolescents of different ages and those with comorbid disorders such as inattentive symptoms, social skills deficits, and depressive symptoms (Beidas et al., 2010). Kendall (1992) initially developed several treatment strategies, based on CBT methods, called Coping Cat, for children and youth with anxiety disorder, which has been demonstrated effective in several studies. The program focuses on children 7–13 years of age who have been diagnosed with generalized anxiety disorder, social phobia, or separation anxiety disorder. The program currently is supported by two manuals: a therapist manual which provides a framework for treatment (Kendall & Hedtke, 2006a) and a workbook for children/youth which contains activities that correspond to the treatment plan (Kendall & Hedtke, 2006b). The 16 sessions are presented in two phases: Phase 1—identification of cues of anxiety and introduction to necessary coping skills, such as roleplay, modeling, in vivo exposure, and relaxation training (8 sessions); and Phase 2—application of the behavioral treatment plans. The program centers on the development of a graded hierarchy of fears to assist the child/youth to address fears in a systematic manner. To aid in this process, the program uses the mnemonic FEAR to outline the FEAR plan (Podell, M ychailyszyn, Edmunds, Puleo, & Kendall, 2010): F—Feeling frightened (recognition of physiological responses to anxiety) E—Expecting bad things to happen (identification of anxious thoughts) A—Attitudes and actions can help (coping skills: deep breathing, relaxation, problem-solving) R—Results and rewards (rating their coping skills in each situation; rewards for effort). In Australia, researchers investigated the combined effect of CBT for children and a family component (FAM ). The FAM included a parallel 12-week program for parents to learn skills in areas such as supportive praise for courageous behavior and planned ignoring for excessive anxious responses. Results revealed that the Australian children treated with a 12-week CBT + FAM performed significantly better than children treated by CBT alone (Bartlett, Dadds, & Rapee, 1996). M ore recently, Wood, Piacentini, Southam-Gerow, Chu, and Signam (2006) demonstrated that children who received CBT treatment for anxiety disorders with their families (familyfocused CBT) had better outcomes than children who received child-focused CBT, with minimal parent involvement. M edical management of anxiety disorders: The selective serotonin reuptake inhibitors (SSRIs) have been found to successfully alleviate symptoms of OCD in adolescents and children (Riddle, Subramaniam, & Walkup, 1998). Other treatments that are currently under increased investigation include exposure with response prevention and CBT. Exposure procedures such as desensitization or flooding can bring the child into increased contact with the anxiety-provoking stimulus either in reality (in vivo) or through guided imagery or pictures. The child is taught a form of muscle relaxation that is incompatible with heightened anxiety in an attempt to link the object or situation that evokes anxiety with a lower level of arousal (relaxed state). Neziroglu, Yaryura-Tobias, Walz, and M cKay (2000) found that combining an SSRI (fluvoxamine) with behavior therapy of exposure and response prevention was superior to medication alone and that children and adolescents in the study continued to show improvement 2 years later, while the Pediatric OCD Team Study (2004) found the combined treatment effect of CBT and the serotonin reuptake inhibitor, sertraline, to be superior to either treatment in isolation for children and youth with OCD. M arch and M ulle (1998) have developed a cognitive behavioral treatment manual for children and adolescents with OCD that provides a session-by-session guide for clinicians through the four stages of treatment: psychoeducational, cognitive training, mapping OCD, and graded exposure and response prevention. Initial studies of the effectiveness of the manualized program with adolescents are encouraging (Thieneman, M artin, Creggar, Thompson, & DyerFriedman, 2001). Treatment of Trichotillomania (TTM) in Childhood Treatment for TTM in children and youth can be challenging, since they often deny that they are pulling out their own hair. Nonpharmacologic treatments such as cognitive and cognitive behavioral therapy should be considered initially, especially if the psychosocial trigger(s) can be identified (e.g., sibling rivalry, birth of a new sibling). Golomb and Vavrichek (2000) have developed a workbook for children and adolescents (10–16 years of age) to assist them in developing the means for “How to solve the trichotillomania puzzle” by developing strategies to help manage their behavior. Parents can adapt the workbook for use with younger children. Other behavioral methods that can be used with children include habit reversal (methods to increase awareness, develop competing replacement behaviors, practice stress/anxiety reduction, and increase parental support and encouragement); self-monitoring (charting behavior and responses); and teaching replacement behaviors (this can be used alone to develop socially appropriate behaviors that can be used as alternatives to hair pulling; Ellis & Roberts, 2006). Post-Case Questions 1. The co-occurrence of depression and anxiety in childhood is not unusual.In younger children, this co-occurrence is frequently associated with a depressive-anxious syndrome (see CBCL: Achenbach). The features of this syndrome have also been referred to as NA. Research has demonstrated that while children in the sixth grade can demonstrate the separate syndromes for all three presentations of these disorders (anxiety, depression, and NA), children in the third grade are better represented by the combined syndrome of NA alone (Cole, Truglio, & Peeke, 1997). It has been suggested that developmentally, NA represents a less differentiated form of a syndrome primarily dominated by negative emotions. Developmentally, differentiation into anxious responses (physiological arousal) and depressed mood (deflated mood) would occur at a later date.Furthermore, Bagby et al. (2004) suggest that the underlying process of “perseverative thinking” that is embedded in anxious and depressive thoughts may be instrumental in influencing an emotional response style that links these two disorders, e.g., perseverative thinking can be represented as both brooding (rumination) which focuses on past events and worry concerned about possible future occurrences (Papageorgiou and Wells, 2004).Given the above information, describe how Shirley’s anxious and depressed symptoms can be conceptualized with respect to NA and perseverative thinking. 2. According to the DSM -5 (APA, 2013), Shirley might meet criteria for one of the anxiety disorders. Given the symptoms noted in the case and your understanding of the different anxiety disorders (see DSM -5 criteria in the Glossary), which anxiety disorder does Shirley most likely exhibit? What are the symptoms that meet the DSM -5 criteria? 3. Gibbs and Huang (2001) outline three broad ways in which ethnicity can influence mental health in children and adolescents. First, ethnicity can shape beliefs about what constitutes mental illness at a general and specific level. Next, cultures may also influence the manifestation of the symptoms (internalizing, through physical somatic symptoms, externalizing), as well as reactive patterns and defensive styles. Ultimately, ethnicity can also be highly influential in determining whether it is acceptable to seek assistance for mental health issues outside of the family, and who should be consulted for assistance (family elder, priest, minister, herbalist, etc.). Some high-risk factors related to cultural context include high risk for suicide in native populations and dropout rates for ethnic minorities.Huang and Ying (2001) discuss a number of potential stressors and conflicts that may face the bicultural child who is attempting to incorporate values from both the Chinese and the American cultures. While expression of feelings is often encouraged in Western cultures, the Chinese culture values emotional restraint, especially for negative emotions. The authors also suggest that although many children develop somatic complaints in response to stress, this particular form of symptom expression is often accompanied by sleep and appetite disturbances, followed by declines in academic performance in children of traditional Chinese American families. A major barrier to effective treatment for these children is that mental health service is highly underutilized by the Chinese American population. For those few families who seek treatment, drop out after the initial sessions is highly probable.Discuss the potential impact of cultural contexts on Shirley’s emotional status. 4. In the Introduction to Chapter 1, Kim and colleagues discuss four parenting profiles: supportive, tiger parenting, easygoing, and harsh parenting. Rather than evaluate parenting style along the typical two dimensions (control and warmth), Kim, Wang, Orozco-Lapray, Shen, and M urtuza (2013) used a multifaceted approach, which considered both positive (parental monitoring and democratic parenting) and negative (psychological control and punitive control) aspects of parent control and two forms of parent emotional responsiveness (warmth and hostility). Discuss whether Lilly employs a “tiger parenting” approach. Within this context, compare tiger parenting, easygoing parenting, and supportive parenting. 5. Children of depressed mothers are twice as likely to become depressed themselves (Goodman & Tully, 2008). Possible suggestions for this linkage include lack of adequate models for emotion regulation; excessive use of controlling, irritable, and impatient parenting (Cicchetti & Toth, 1998); and lack of emotional availability (M alphurs et al., 1996). Girls seem to be at much higher levels of risk for transmission of depression than boys (Sheeber, Davis, & Hops, 2002). Based on this information, discuss Shirley’s depressive features relative to her mother’s symptoms of depression. 6. While boys are more likely to use bullying tactics, which rely on physical aggression, girls have been found to engage in forms of relational aggression, such as causing hurt to others through the propagation of rumors, ridicule, exclusion from a peer group, or withdrawal of friendship and support (Crick, Casas, & Nelson, 2002; Crick & Grotpeter, 1995). Although early research suggested that girls are more relationally aggressive than males, more recently, findings have noted that although males also engage in relational aggression, the social and emotional impact of relational victimization is greater for girls than for boys (Yoon, Barton, & Taiariol, 2004). The outcomes of relational aggression are peer rejection and feelings of loneliness and isolation (Crick et al., 2002; Crick & Grotpeter, 1995).Explain how relational aggression had an impact on Shirley’s socialization. What could be done at a school level to counteract this behavior in peers? 7. In an Australian study, Bartlett et al. (1996) found that children who were involved in the combined effect of CBT and a family component (FAM ) performed significantly better than children treated by CBT alone. M ore recently, Podell, M ychailyszyn, Edmunds, Puleo, and Kendall (2010) suggested that both individual and family versions of the Coping Cat program were successful in alleviating anxiety in anxious youth. What challenges do you see in involving Shirley’s family in the therapeutic process? 8. Develop a therapeutic plan to assist Shirley in reducing tendencies to hair pull. 9. Suggested individual or group presentation activity:You have been invited to provide feedback to the school regarding Shirley’s assessment at a meeting where they will decide whether Shirley meets criteria for Special Education and Related Services. If it is determined that she is eligible for services, under what category would you expect that she would meet criteria, and what Goals and Objectives would you want to see as part of her IEP? Would you recommend she receives related services, and if so, what would the nature of those services be?Prepare a script for role-playing each of the player’s parts in the school meeting, mentioned above. Who do you think should be attending the meeting? How could each participant potentially contribute information to assist with developing an intervention plan that would best meet Shirley’s needs? REFERENCES American Psychiatric Association (APA). (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Washington, DC: Author. Bagby, R. M ., Rector, N. A., Bacchiochi, J. R., & M cBride, C. (2004). The stability of the response styles questionnaire rumination scale in a sample of patients with major depression. Cognitive Therapy and Research, 28(4), 527–538. Bartlett, P. M ., Dadds, M . R., & Rapee, R. M . (1996). Family treatment of childhood anxiety: A controlled trial. Journal of Consulting and Clinical Psychology, 64, 333–342. Beidas, R. S., Benjamin, C. 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Family cognitive behavioral therapy for child anxiety disorders. Journal of the American Academy of Child and Adolescent Psychiatry, 45, 314–321. Yoon, J. S., Barton, E., & Taiariol, J. (2004). Relational aggression in middle school: Educational implications of developmental research. The Journal of Early Adolescence, 24(3), 303–318. CASE 15 JORDAN NEESON : LET ME COUNT THE WAYSOBSESSIVE COMPULSIVE DISORDER Jordan appeared agitated and upset as he walked into the clinic accompanied by his mother, Sally Neeson. The last thing Jordan wanted to do this morning was get dressed and go to a clinic. After all, he was on his summer vacation. M rs. Neeson brought Jordan to the clinic because the school had recommended he be retained in the Grade 3 program due to academic difficulties and problems with attention and concentration. Work was rarely handed in or completed, and Jordan was beginning to really hate school. DEVELOPMENTAL HISTORY/FAMILY BACKGROUND Sally Neeson completed the intake survey and was available for a telephone intake conversation prior to bringing Jordan in for his assessment session. In recalling Jordan’s birth history, Sally stated that the pregnancy was very hard on her. She had considerable nausea in the first 3 months and was very fatigued throughout the majority of her pregnancy. The delivery was also difficult, and Jordan had a lowered Apgar score because of birth complications. During the delivery, there were knots in the umbilical cord that cut off or reduced the oxygen supply. It seemed to take forever, but he was finally breathing on his own. Jordan seemed to rebound, and Sally was able to bring Jordan home with her when she left the hospital. Sally reported that appetite and sleep habits were normal for the first year. At one point in the rather lengthy telephone conversation, Sally seemed particularly agitated and wanted to know why the interviewer was asking her personal questions about her marriage and relatives. After all, she just wanted to have Jordan tested for school; there was absolutely nothing wrong with his behavior and he did not have any “mental” problems. Sally described Jordan as a sensitive boy who was very aware of his academic difficulties. Sally was definitive in stating that Jordan did not have any behavior problems. Sally also was very sure that there was no mental illness in either her family or her husband’s. However, Sally did recall an aunt, Bertha, who would not leave her house. She remembered family members talking about Bertha at family functions, because she would never attend. They said she was afraid to go outside and that she even had to have groceries delivered to her door. Sally could not recall any more about Bertha, who died about 10 years ago. Sally described herself as a bit of a worrier and said that her husband, Ralph, was pretty easygoing and just liked to watch sports on TV when he finished work at the office. Ralph sold insurance and Sally was a full-time homemaker. Jordan has a sister, Susy, who is 2 years older than Jordan, but she is very mature for her age. Sally said that Susy is 11 years old, going on 20, while Jordan is 9 years old, going on 5. When asked how they get along, Sally said that there are times when Susy, who really is a very patient person, just loses it when Jordan goes into what she calls his “weirdness.” Sally explained that Jordan can be very fussy about particular things, such as having his food all separate on the plate with nothing touching (peas separate from potatoes and chicken). If the foods touch each other, then he does not want to eat it. Susy also is very annoyed when she has to take Jordan to school, since he takes forever to get ready in the morning, and bathroom rituals, such as handwashing or teeth brushing, seem to take a very long time. In the evening, Sally said that these bathroom routines are a normal part of his getting ready for bed, and she is fine with it because, unlike some kids, Jordan really likes being clean, and she never has to remind him to wash up or brush his teeth at bedtime. Sally stated that Jordan’s milestones were achieved on time and he walked at about 14 months and talked a bit later. Sally admitted that she was not a very good historian about dates and times. Jordan had some ear infections and had tubes inserted for drainage when he was about 3 years old. Sally described Jordan as a bit of a “mama’s boy.” She said that they were like “two peas in a pod,” and when Jordan was a toddler, Sally took him everywhere with her. Jordan never went to preschool and Sally chose to homeschool him rather than send him to kindergarten. Jordan was not eager to go to first grade. M ost mornings, his sister Susy had to hold his hand all the way to school so that he would not try to run the other way. Jordan was finally starting to settle into Grade 1 by December, when the family had an opportunity to purchase a home in a better neighborhood across town. As a result, Jordan had to change schools in January. Jordan started to resist going to school all over again, and Susy was once again forced to drag him with her. One good thing about the relocation was that the house was within eyesight of the school. Jordan’s mother told him that if he missed her, he could just look across the street and know that she was thinking about him. This seemed to comfort Jordan somewhat. One day shortly after the move, Jordan’s mother had an appendicitis attack and had to be rushed to the hospital. Unfortunately, shortly after the ambulance arrived, Jordan’s class was let outside for recess. Jordan was terrified when he saw the ambulance in his driveway, and he ran across the street just as the ambulance pulled away. Jordan ran down the street, yelling and crying, until he was retrieved by the school principal. For the next 5 months, Jordan was very fearful of leaving the house. He was afraid that something might happen to his mother if he left. Often he would ask to stay home, saying that he was not feeling very well. Sally said that she felt she was to blame because she had scared him with her appendicitis attack. Often she felt sorry for him and would let him stay home. By the end of first grade, Jordan’s teachers were becoming concerned. He had missed quite a bit of school (21 days) and did not have a firm grasp of the fundamentals. His handwriting was very poor and most of his letters and numbers were reversed or upside down. The following year, Sally tried to keep Jordan’s absences in check by making promises that they would do things together after class. Jordan went to school, but his midyear report was very poor. Jordan was falling further and further behind. Sally tried reading with him at home, but Jordan seemed to have a very poor memory for the words, and each day it was like he had not seen the word before. Recently, the school recommended that Jordan repeat Grade 3. Sally finally decided to have him assessed. Sally noted that Jordan’s health had been good except for frequent complaints of headaches and stomachaches. Vision and hearing had been recently tested and were within the normal range. Although the intake supervisor sent behavior rating scales to M rs. Neeson (Behavior Assessment Scale for Children [BASC-2] and the Conners Parent Rating Scale) to be completed prior to his first assessment session, Sally forgot to complete them ahead of time and brought them with her to the first assessment session. As a result, it was not possible to score these results until after Jordan’s first assessment session. In hindsight, having this information beforehand would have provided significant insight into Jordan’s emotional profile. On a positive note, Sally was able to locate Jordan’s Grade 3 teacher, who volunteered to complete the teacher forms during her summer break. REASON FOR REFERRAL Sally brought Jordan to the clinic because she wanted to know why he was having academic problems and whether Jordan had this “attention deficit” problem his teacher had mentioned. It was important to M rs. Neeson that an assessment be completed before the new school year because she was very concerned about his success in the Grade 4 program and Jordan’s growing reluctance to continue attending school. ASSESSMENT RESULTS Information regarding the specific assessment instruments used in this assessment and guidance in the interpretation of standard scores and T scores can be found in Appendix C. The examiner found Jordan to be a very cautious participant in the assessment process. Jordan took a long time to respond to openended questions, and it was often difficult to determine whether he was formulating a response to a question, not comprehending the question, or lost in his own thoughts. During the first assessment session, Jordan participated in a semistructured clinical interview and completed the WISC-V and Bender Gestalt. Jordan obtained a full scale IQ within the average range (IQ = 91; range 85–98), with minimal discrepancy between his Verbal Comprehension Index, Visual Spatial Index, and Fluid Reasoning Index. Jordan’s profile indicated a number of strengths and weakness. Strengths were noted in vocabulary knowledge, picture concepts, and matrix reasoning (SS in the 11–13 range), while relative weaknesses were evident in comprehension (SS = 7), block design (SS = 8), digit span (SS = 6), and coding (SS = 6). The Working M emory Index (WM I) was at the 8th percentile (WM I = 79; range 73–88). Jordan became very anxious when the stopwatch was introduced for the timed tests (block design, visual puzzles, figure weights, coding, and symbol search) and was visibly upset. He said he was afraid that he would not be able to do his work on time. At this point, the examiner explained that he would have plenty of time to compete the tasks and encouraged Jordan to continue, which he did. Throughout the assessment, Jordan was hesitant and tentatively approached each task in an approach-retreat style. Requests for question repetition were frequent, and Jordan also evidenced word-finding problems throughout. On a supplementary task of mental arithmetic, Jordan was observed tapping on his leg with his index finger, three times, before he would verbalize a response. When he saw that the examiner had noticed this, he pulled himself farther under the desk to conceal his legs from view. Other mannerisms were noted, such as touching his shoe before lifting his pencil and touching his ear before writing. However, Jordan was very subtle and secretive in performing these touching and counting compulsions, and it is likely that these rituals had escaped detection in most situations. In addition to these behaviors, Jordan also demonstrated perfectionist tendencies on many tasks. For example, he spent considerable time and effort carefully aligning his blocks to ensure that the edges were straight, a procedure that resulted in the loss of any possible bonus points he may have earned on the task. Similarly, repeated erasures to make the symbols “just so” resulted in reducing his score on the coding subtest. At Jordan’s age level, it is considered to be significant if the Bender Gestalt designs are not completed within 7 minutes. Jordan required 20 minutes to complete the task. Jordan requested a ruler prior to starting the Bender Gestalt so that his lines could be straight and the paper could be partitioned. However, he was told that this was a task to see how well he could reproduce the designs himself, without a ruler. At this point, Jordan folded the paper to make eight sections and proceeded to draw each design in one of the folded squares. Despite all the attempts to structure his responses, the designs were very poorly executed, due to his weak visual motor integration skills. He spent a great deal of time checking and rechecking the number of dots on the cards, rather than actually executing the designs. Jordan would count the dots and start to draw and then recount to make sure that he had remembered the number correctly. On one design, Jordan recounted the dots 15 times before he completed the drawing. His responses were delayed even further by a ritualistic tendency to punctuate each drawing by the touching and tapping compulsions noted previously. Furthermore, although Jordan achieved above average scores on the untimed tasks of picture concepts and matrix reasoning (WISCV), he required excessive time to complete these tasks (twice the amount of time that normally would be required). Jordan’s response to the Wechsler Individual Test of Achievement (WIAT-III) was also enlightening. It took almost an hour and a half to complete this instrument, which usually takes about 40 minutes. Prior to starting tasks, Jordan had a series of questions he asked to make sure that he understood what was required. On the spelling dictation test, Jordan spent several minutes erasing and rewriting words to improve the quality of his writing. Each mathematical calculation had a pizza drawn beside it (he called them “pizza faces”), with pepperoni slices indicating the number. For example, in order to perform the calculation 5 + 6, Jordan drew two pizzas: one with five slices of pepperoni and one with six slices of pepperoni. He then added up the pepperoni slices to obtain the final answer. Reading was also performed very hesitantly, with much doubting as to the correct pronunciation. Jordan continually requested feedback about his performance. Only the Reading Fluency is timed on the WIAT-III, and his score for reading fluency was significantly below his age level (standard score of 72, at the 3rd percentile). On the remaining tasks, which are not timed, Jordan demonstrated functioning about 2 years behind his grade level in all areas. Jordan continued to demonstrate the touching and tapping rituals noted during his previous assessment session. After Jordan’s first assessment session, it became evident from clinical observations that Jordan was experiencing many symptoms of obsessive compulsive disorder (OCD), and that these ritualistic compulsions were likely causing significant problems at school and at home. Subsequent assessment sessions and behavioral reports would confirm the extent to which Jordan’s secret world would be revealed. M rs. Neeson completed three behavioral rating scales: the Achenbach CBCL, BASC-2, and Conners scales. Clinical elevations were noted on the Thought Problems and Anxious/Depressed scales of the Child Behavior Checklist (CBCL); the Atypicality scale (BASC-2); and the Perfectionistic scale (Conners). Teacher reports noted elevations on the Attention and Thought Problems scales (Achenbach TRF) and on Atypicality, Adaptability, Learning Problems, Social Problems, and Attention Problems (BASC-2; Conners). Further clinical interviews with M rs. Neeson confirmed several other OCD behaviors and possible family history for the disorder. M rs. Neeson said that Jordan could be superstitious, much like her mother, who seemed to have a superstitious saying for everything. Her mother was also what she called a “clean freak” and “checking perfectionist.” Often they would make several attempts to get out of the driveway because her mother would constantly get out of the car and return to the house to make sure that the stove and coffee maker were turned off or the door was locked securely. Although Sally did not consider these behaviors to be mental health problems, she did say it was very annoying to try to do anything with her mother. During the course of the conversation, Sally began to discover several likenesses between Jordan and his grandmother. Sally was aware that Jordan did have some superstitions, like counting or touching rituals; however, she did not know the extent to which Jordan engaged in these behaviors. Sally became aware of these rituals when she caught him on occasion and questioned his repetitive behaviors. Jordan explained that it was about “threes.” Apparently, he had some system worked out that if he repeated an action three times or tapped three times, then it would prevent something from happening. Sometimes, he had to do more than one count of “threes,” for example, count to 3 two or three times in a row before he was satisfied. Further conversation revealed that Jordan also hoarded useless items under his bed and had other peculiar habits involving arranging and placement of certain items in very specific places. At the dinner table, the family had just accepted the fact that Jordan’s fork and knife had to be perfectly aligned on the stripe of the place mat before he would begin eating. They were also accustomed to his odd mannerism of eating his food starting at the outside of the plate and working toward the center. Sally had just accepted these behaviors as “Jordanisms” and reasoned to herself that he would eventually outgrow the habits, or they would later develop into other orderly and beneficial ways of organizing his world. Although Jordan’s bathroom routines in the morning could be a source of annoyance when trying to get Jordan to school, M rs. Neeson never thought that these behaviors would signal any cause for concern. Sally said that personal cleanliness was a strength of Jordan’s, and she surely did not want to discourage his excellent hygiene. Jordan completed the BASC-2 but had considerable difficulty with the yes/no response format. He had trouble making up his mind and was very uncomfortable not being able to use “sort of” as a response. On the Personality Inventory for Youth (PIY), the Feelings of Alienation scale was somewhat elevated due to Jordan’s endorsement of items referring to repetitive and distressing thoughts and behaviors. Jordan did not endorse significant symptoms on the Child Depression Inventory (CDI-2), which was in the normal range for his age. Jordan did, however, admit to having a significant number of symptoms that were indicative of Worry/Attentional Concerns and Physiological Indicators on the Revised Child M anifest Anxiety Scale (RCM AS2). Based on clinical interviews, observations, and assessment results, increasing confirmation and support were obtained to suggest that Jordan suffered from an OCD. Jordan evidenced a number of compulsions: repeating, touching, counting, arranging, cleaning, and hoarding. Obsessive thoughts that seemed to drive these compulsions included concerns regarding doubts, lack of symmetry, contamination, and danger. Upon completion of the Children’s Yale Brown Obsessive-Compulsive Scale (CY-BOCS), the examiner felt that Jordan’s compulsions were time-consuming (likely involving more than 1 hour a day) and were interfering significantly with his schoolwork and social relationships. Furthermore, Jordan seemed to have very little control over his obsessions, nor was he able to resist performing the compulsive acts. ISSUES, TRENDS, AND TREATMENT ALTERNATIVES Although initially thought to be uncommon among children, current prevalence rates (between 0.5% and 3%) for OCD are similar for children and adults (Heyman et al., 2003); however, OCD in children often goes undiagnosed (Valleni-Basile et al., 1994). There is a 3:2 male to female ratio for OCD with more boys being diagnosed at younger ages. The mean age of onset is approximately 10 years of age with the range from 7.5 to 12.5 years (Geller & M arch, 2012, p. 100). Because the disorder involves distressing and often unpleasant thoughts (obsessions) that drive unwanted acts or behaviors (compulsions) that can often appear embarrassing to children, OCD may be hidden by young children and adolescents, who secretly suffer in silence. OCD is characterized by obsessions (obsessive thoughts) “recurrent and persistent thoughts, urges, or images that are experienced as intrusive and unwanted” that cause individuals to feel anxious and distressed, unless they engage in compulsions (compulsive behaviors) “repetitive behaviors or mental acts that an individual feels driven to perform in response to an obsession or according to rules that must be applied rigidly” in order to reduce the anxious state (DSM-5; APA, 2013). Although OCD was classified as an anxiety disorder in the previous version of the DSM-IV-TR (APA, 2000), currently, the DSM-5 (APA, 2013) lists the disorder in a category reserved specifically for Obsessive Compulsive and Related Disorders, which also includes body dysmorphic disorder, hoarding disorder, trichotillomania (hair-pulling) disorder, and excoriation (skin-picking) disorder. In 40%–75% of cases of OCD, individuals struggle with a disorder that evidences a chronic course (M icali et al., 2010; Stewart et al., 2004). There are also high rates of comorbidity in children with OCD (Ivarsson, M elin, & Wallin, 2008) with depression anxiety, attention deficit/hyperactivity disorder (ADHD), and tic disorder often accompanying OCD in pediatric populations (Weidle, Ivarsson, Thomsen, Lydersen, & Jozefiak, 2015). Geller et al. (2001b) found that early onset of OCD predicted increased risk for comorbidity with the following disorders: ADHD, specific phobias, agoraphobia, tic disorders, and multiple anxiety disorders; while mood disorders were a more likely occurrence at later ages. Though OCD was once thought to have a primarily psychological basis, many who suffer from it show evidence of a biological basis for the disorder. Two areas of research have investigated biological explanations for the disorder: one explanation involves relating OCD behaviors to low levels of the neurotransmitter serotonin; the other explanation looks to malfunctioning in a key area of the brain. Support for the serotonin theory has come from clinical trials that have established SSRIs such as fluoxetine (which serve to increase serotonin levels) as a successful treatment approach for OCD in adults and children/adolescents (Geller et al., 2001c; Riddle et al., 1992; Rosenberg, Russell, & Fougere, 2005). Other biological theorists suggest that regions of the brain that convert sensory information into thoughts and actions (orbital region of the frontal cortex and caudate nuclei) may be overactive in people with OCD. Because the system malfunctions, impulses that should be filtered pass on to the thalamus and the person becomes driven to perform the acts (Peterson et al., 1998; Saxena & Rauch, 2000). Although the DSM-IV-TR (APA, 2000) considered OCD as one of the several anxiety disorders, results from several recent investigations led researchers to question whether OCD should be conceptualized apart from the other anxiety disorders, as a distinct disorder based on unique physiological and neurological dysfunctional patterns (Bartz & Hollander, 2006; M acM aster et al., 2006). As it is, the DSM -5 (APA, 2013) has removed OCD from the section on anxiety disorders and has created a new chapter in the DSM , “Obsessive Compulsive and Related Disorders” that clusters OCD with body dysmorphic disorder, hoarding disorder, trichotillomania (hair pulling), and excoriation (skin picking). Disorders in this chapter all share features of obsessive thoughts or compulsive behaviors related to cycles of tension production and tension release. Implications of the basal ganglia in OCD have also been suggested due to the high rates of comorbidity between OCD and Tourette’s syndrome (King, Leonard, & M arch, 1998). Recently, research has amassed increasing support for some children who develop acute OCD symptoms resulting after a strep infection. These children who demonstrate OCD symptoms from PANDAS (Pediatric Autoimmune Neuropsychiatric Disorders Associated with Streptococcal Infections) an autoimmune response to streptococcal infection (strep throat) may require a very different method of treatment. Giedd, Rapoport, Garvey, Perlmutter, and Swedo (2000) compared the cerebral magnetic resonance images (M RIs) of 34 children with OCD who had had a streptococcal infection to 82 healthy comparisons and found a subgroup of subjects with OCD and/or tics who had enlarged basal ganglia due to a streptococcal infection. M urphy and Pichichero (2002) monitored 12 cases of OCD with new-onset PANDAS and found that antibiotic treatment was effective in alleviating symptoms of OCD in all the children on first trial, and for the 7 children who suffered a future relapse, once mediation was reintroduced resulting in symptom remission. The PANDAS-related OCD symptoms included handwashing behaviors and preoccupation with germs and are thought to result from an inflammation of specific regions of the brain. According to Leonard, Swedo, and Rapoport (1991), some indicators that OCD behaviors may be occurring in children and adolescents include hoarding of useless objects, repeated touching of objects, taking an inordinate amount of time to complete tasks, and constant erasures or reworking of homework assignments. The long-term consequences of OCD have long been established, and the disorder is also often associated with other comorbid disorders (Bolton, Luckie, & Steinberg, 1995). Research evidence supports the importance of early intervention in childhood and adolescence in reducing the long-term severity of OCD (Leonard et al., 1993). Wewetzer et al. (2001) reassessed 55 patients originally diagnosed with OCD (mean age of diagnosis 12.5 years; mean follow-up interval 11.1 years) and found that on follow-up, 71% met the criteria for a psychiatric disorder, while 36% still met clinical criteria for OCD. Of those who were positive for a diagnosis of OCD on follow-up, 70% had at least one comorbid clinical disorder (most notably, anxiety and affective disorders). Factors associated with more severe OCD symptoms in adulthood included in-patient treatment, terminating treatment against advice, and evidence of tics in childhood or adolescence. Some of the most frequently occurring compulsions in child and adolescent populations include handwashing, checking, counting, ordering, touching, rearranging, and hoarding, while obsessions may dwell on fears of family loss (fear of death of a parent), contamination, excessive feelings of guilt, or sexual and/or somatic associations (Geller, Biederman, Faraone, Agranat et al., 2001). In some children, compulsions may occur without being associated to a given obsession, such as blinking or breathing rituals (Geller & M arch, 2012). Quality of Life (QoL) is considered to be a measure of subjective well-being on several dimensions of life (Weidle et al., 2015). M ore recently, researchers have investigated the role of symptom severity and QoL in a number of childhood disorders, including children with ADHD (Danckaerts et al., 2010) and anxiety and depression (Stevanovic, Jancic, & Lakic, 2011). In their study of children and adolescents with OCD, Lack et al. (2009) found significantly lower QoL scores in individuals with OCD, compared to healthy controls. In addition, children with comorbidity (externalizing and internalizing symptoms) in this population had the lowest scores on QoL, compared with those who only had symptoms of OCD. These findings have since been replicated by Weidle, Jozefiak, Ivarsson, and Thomsen (2014). QoL instruments, such as the KINDL-R, measure QoL in areas such as physical well-being, emotional well-being, self-esteem, family, friends, and school. Piacentini, Bergman, Keller, and M cCracken (2003) studied functional impairment in 151 children and youth with OCD and report that almost 50% indicated OCD-related problems were evident in all three major domains: home, school, and social relationships. At school, concentration and homework surfaced as the two most critical areas of difficulty. Within the home, 60% of families of children with OCD report detrimental effects of the OCD behaviors on siblings and marital discord due to increased distress and feelings of manipulation (children attempting to engage family members in the OCD behavioral rituals; Cooper, 1996). Perfectionistic tendencies have also been significantly associated with OCD, and many cognitive theorists see perfectionism and responsibility (self-blame) as two of the core features of cognitive models of OCD (Obsessive Compulsive Cognitions Working Group; OCCWG, 2001, 2005). In their study of perfectionism and OCD, Wu and Cortesi (2009) found that perfectionism was most strongly associated with checking rituals related to ordering, arranging, symmetry, and grooming and more weakly associated with contamination obsessions and washing compulsions, a finding that supported results of an earlier study by Julien, O’Connor, Aardema, and Todorov (2006). Wu and Cortesi (2009) suggest that this finding provides an important contribution for targeting cognitive restructuring in those with checking rituals. Treatment for OCD Historically, theoretical explanations for OCD have focused on the maintenance of fear and anxiety due to negative reinforcement; for example, performing the compulsion serves to reduce the anxiety caused by the obsession (behavioral theories) and the faulty appraisals (excessive self-doubt and self-blame and feeling overly responsible for the obsessive thoughts), which tend to lock individuals into the obsessive and compulsive rituals (cognitive theoretical perspective). As a result, the majority of treatments have focused on behavioral techniques, such as exposure and response prevention (ERP) and cognitive behavioral therapy (CBT) techniques for reframing maladaptive thinking (e.g., selfblame, self-doubt) into more positive thought patterns. From a neurobiological perspective, unlike anxiety disorders that respond to a wide range of medications (benzodiazepines and norepinephrine reuptake inhibitors), antidepressant medication (serotonin reuptake inhibitors: SRIs, such as fluoxetine) has been the only category of medication that has been successful in alleviating symptoms of OCD in adults and assisting some children in reducing symptoms of OCD (Geller et al., 2001a, c) The most recent revision of the Practice Parameters for the Assessment and Treatment of Children and Adolescents with ObsessiveCompulsive Disorder (Geller & M arch, 2012) recommends that assessments of children and adolescents involve routine psychiatric screening for indications of obsessive and compulsive behaviors; evaluation using DSM criteria; reviewing multiple sources to determine possible comorbidity; and full medical, developmental, family, and school history. In addition, treatment approaches for the management of OCD were outlined as follows: CBT as the first line of treatment, medication (SRIs, such as clomipramine) as a first-line medical treatment in addition to CBT for moderate to severe OCD, or if CBT alone is ineffective. Barrett, Farrell, Pina, Peris, and Piacentini (2009) conducted a meta-analysis of evidence-based treatments for children and youth with OCD, based on 21 studies conducted since 1994 that adhered to Type 1, 2, or 3 criteria as set out by Nathan and Gorman (2002). The two treatments that maintained the highest quality of empirical rigor (Type 1: randomized, controlled studies) were studies conducted by Barrett, Healy-Farrell, and M arch (2004) and the POTS Team (2004). Barrett et al. (2004) compared family-focused individual therapy (ICBT) and family-focused group therapy (GCBT) using a manualized family component “Freedom From Obsessions and Compulsions Using Cognitive-Behavioral Strategies” (FOCUS: Barrett, 2007), which was adapted from an earlier version of the individual treatment program established by M arch and M ulle (1998). The FOCUS program included sessions devoted to education, cognitive training, ERP, and parent sessions. Follow-up 12 and 18 months after the completion of the program revealed that 70% of those in the ICBT program and 84% from the GCBT program remained symptom free (Barrett, Farrell, Dadds, & Boulter, 2005). The POTS study (POTS Team, 2004) compared treatment groups of youth with OCD (7–17 years of age) who were randomly assigned to one of the four conditions: ICBT alone, sertraline (SRI medication) alone, combined ICBT and sertraline, or placebo pill. The CBT protocol was based on the program developed by M arch and M ulle (1998) and included 14 sessions over a 12-week period. Results revealed that all three treatments were superior to placebo, but that combined CBT and sertraline was superior to either treatment alone, although both of the CBT conditions (with and without sertraline) were superior to the sertraline alone condition, suggesting that CBT alone or in conjunction with SRI is an effective treatment for OCD in children and youth. Another study, conducted by Asbahr et al. (2005) and also using the GCBT format prescribed by M arch and M ulle (1998), found that youth who received CBT in the group condition demonstrated significantly lower rates of symptoms compared to youth who were treated with sertraline. In another recent research program designed to compare the effects of combined treatments, Neziroglu, Yaryura-Tobias, Walz, and M cKay (2000) found that children who received a combination of fluvoxamine and ERP demonstrated more immediate improvement and continued improvement 2 years later than those receiving either treatment in isolation. However, Sabine (2001) argues that CBT may be at least as effective and a less stressful alternative than ERP for children and adolescents with OCD. Techniques commonly used in CBT programs include cognitive restructuring, psychoeducation (to dispel irrational fears of contamination, etc.), distraction, and relaxation. Weidle et al. (2014) studied the impact of CBT treatment (14 weekly sessions of 45 minutes of individual CBT with ERP intervention) on a sample of 135 children and adolescents ranging in age from 7 to 17 (mean age 13 years). Parents participated in additional 30-minute sessions added to the initial three sessions, 2 additional sessions and the final session. Child attendance during the parent sessions was optional. The program adhered to traditional ERP protocol with a focus on the construction of a fear hierarchy and gradual exposure to threatening situations (based on the established fear hierarchy) and included homework practice assignments. The final sessions focused on generalizing what skills were learned and relapse prevention. QoL was measured by the KINDL-R, a 24-item (5 point) scale completed by parents and children that measures QoL in six areas: physical well-being, emotional well-being, self-esteem, family, friends, and school. Other rating scales were used to measure OCD symptom severity and symptoms of internalizing and externalizing disorders. Results revealed that for children with OCD, QoL scores reported by children and their caregivers showed marked improvement after treatment in all areas, with the exception of the friends and school subscale in the children’s report, suggesting that CBT with ERP was highly effective in reducing symptoms of OCD and in improving QoL in children and adolescents with OCD. Post-Case Questions 1. It is possible to explain OCD from a number of theoretical positions. Develop a case formulation to explain the development of obsessions and compulsions based on the following theoretical perspectives, in light of Jordan’s history: biomedical, behavioral, cognitive, and family systems. Provide the specific treatment implications for Jordan’s OCD based on each of the case formulations derived. 2. Behavioral interventions for OCD often include exposure techniques designed to elicit the anxiety (either gradually or completely) by either direct exposure (in vivo) or in an imagined state. Graduated levels of anxiety can be predetermined by the construction of an anxiety hierarchy (from least to most stressful situation). Anxiety can be reduced by pairing increasing levels of anxiety-provoking situations with a relaxation response (muscle relaxation exercises).Another intervention for OCD involves exposure followed by response prevention. In this technique, the child would be limited in performing the compulsion (e.g., checking, counting) when he or she has an obsessive thought. The child would agree to limit the response and would be rewarded for following through.Design a behavioral intervention plan for Jordan’s use in the classroom, using ERP. 3. Discuss the relationship between separation anxiety and OCD in Jordan’s developmental history. 4. Based on the DSM -5 (APA, 2013) criteria for OCD (see Glossary), what symptoms of OCD does Jordan demonstrate, and does he qualify for a diagnosis of OCD according to the DSM? 5. In the Introductory chapter, the section on case formulation based on a psychodynamic and attachment perspective discusses Greenberg’s theory of the neurophysiology of emotion regulation. According to Greenberg, humans require positive experiences of resolving fearful situations to allow for a buildup of brain structures that help to regulate responses to anxiety and fear-producing situations. In dysfunctional attachment relationships, caregivers are not a source of assistance in the regulation of emotion, and children do not develop the ability to self-soothe when upset. Explain whether Greenberg’s theory applies to Jordan, and if so, how and why this situation has developed. 6. Suggested individual or group presentation activity: You have been invited to provide feedback to the school regarding Jordan’s assessment at a meeting where they will decide whether Jordan meets criteria for Special Education and Related Services. If it is determined that he is eligible for services under what exceptionality would you suggest he meets criteria for services? What Goals and Objectives would you want to see as part of his individualized education plan? Would you recommend he receives related services, and if so, what would the nature of those services be? 7. Prepare a script for role-playing each of the player’s parts in the school meeting, mentioned above. Who do you think should be attending the meeting? How could each participant potentially contribute information to assist with developing an intervention plan that would best meet Jordan’s needs? REFERENCES American Psychiatric Association (APA). (2000). Diagnostic and statistical manual of mental disorders (4th ed., text revision). Washington, DC: Author. American Psychiatric Association (APA). (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Washington, DC: Author. Asbahr, F. R., Castillo, A. R., Ito, L. M ., Latorre, M . R. D. 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The impact of depression and anxiety disorder symptoms on the health‐related quality of life of children and adolescents with epilepsy. Epilepsia, 52(8), e75–e78. Stewart, S. E., Geller, D. A., Jenike, M ., Pauls, D., Shaw, D., M ullin, B., & Faraone, S. V. (2004). Long‐term outcome of pediatric obsessive–compulsive disorder: A meta‐analysis and qualitative review of the literature. Acta Psychiatrica Scandinavica, 110(1), 4–13. Valleni-Basile, L. A., Garrison, C. Z., Jackson, K. L., Waller, J. L., M cKeown, R. E., & Addy, C. L. (1994). Frequency of obsessivecompulsive disorder in a community sample of young adolescents. Journal of the American Academy of Child and Adolescent Psychiatry, 33, 782–791. Weidle, B., Ivarsson, T., Thomsen, P. H., Lydersen, S., & Jozefiak, T. (2015). Quality of life in children with OCD before and after treatment. European Child & Adolescent Psychiatry, 24(9), 1061– 1074. Weidle, B., Jozefiak, T., Ivarsson, T., & Thomsen, P. H. (2014). Quality of life in children with OCD with and without comorbidity. Health and Quality of Life Outcomes, 12(1), 152. Wewetzer, C., Jans, T., M üller, B., Neudörfl, A., Bücherl, U., Remschmidt, H., ... Herpertz-Dahlmann, B. (2001). Long-term outcome and prognosis of obsessive–compulsive disorder with onset in childhood or adolescence. European Child & Adolescent Psychiatry, 10(1), 37–46. Wu, K. D., & Cortesi, G. G. (2009). Relations between perfectionism and obsessive-compulsive symptoms: Examination of specificity among the dimensions. Journal of Anxiety Disorders, 123, 393–400. CASE 16 SANDRA SILVER : SHY OR SOCIAL ANXIETY DISORDER (SOCIAL PHOBIA) SOCIAL ANXIETY DISORDER When they arrived at the clinic, it was clear that Sandra was not pleased to be here. Sandra tried to distance herself from her mother and sat in a chair on the other side of the waiting room. She slumped in the chair as if she wanted the chair to swallow her up. Her mother, Georgia, on the other hand, was a very gregarious woman who immediately tried to engage the woman sitting next to her in a conversation. After what seemed to Sandra to be an eternity, the psychologist finally came into the waiting room and asked them to accompany her to her office. Sandra’s mother had finally decided to get some help for Sandra because she was very shy and fearful, especially in social situations. Initially she thought that this was just part of being an adolescent but now that she was in the 10th grade, she was still experiencing problems socially, at a time when others her age were becoming even more social. DEVELOPMENTAL HISTORY/FAMILY BACKGROUND Sandra was visibly uncomfortable when she sat down on the couch in the psychologist’s office. Her mother immediately sat beside her and started to provide some history, almost before the introductions were finished. The psychologist was immediately very aware of the contrast between these two individuals. Georgia stated that there was no biological history available for Sandra who was adopted from an orphanage in China at 2 years and 8 months of age. Georgia is a single mother, who was never married. She retired from teaching 2 years ago when Sandra graduated from middle school. Gloria was able to be close to her daughter during her early schooling since she taught at the elementary school that Sandra attended, and when Sandra transferred to middle school, Georgia was able to obtain a job at the local middle school. Georgia was quite proud of the fact that Sandra was able to have her mother teaching at the same school she attended until she moved on to high school. When it came time to start school, Sandra was fearful of being in a class with so many children, but with her mother nearby, the situation was not as bad as it could have been. However, by the third grade, her teacher noticed that Sandra had problems focusing on her work and was very easily distracted by everything around her. She had problems sitting still and was very inattentive, and as a result she started to fall behind, academically. With increased pressures evident in the third grade (when state testing would determine whether the student remained in the third grade or passed on to the fourth grade), the teacher talked to Gloria about the possibility of having her tested for attention deficit/hyperactivity disorder (ADHD). Gloria did not want to have Sandra tested and instead took Sandra to her pediatrician who asked Sandra’s mother and teacher to complete the Vanderbilt Rating Scales (NICHQ). The teacher rated Sandra as demonstrating many symptoms associated with ADHD predominantly inattentive type, such as fails to give attention to details or makes careless errors; difficulty sustaining attention during tasks; does not seem to listen when spoken to; does not follow through on instructions; has difficulty organizing tasks and activities; and avoids or dislikes, or is reluctant to engage in tasks that require sustained mental effort. Although Sandra’s mother also rated the same symptoms, the teacher’s ratings were significantly more elevated than Gloria’s ratings. The teacher also endorsed other symptoms not related to ADHD, including: is fearful, anxious or worried; is self-conscious or easily embarrassed; and is afraid to try new things for fear of making mistakes. These symptoms were not endorsed by Sandra’s mother. Based on these ratings, the pediatrician diagnosed Sandra with ADHD and prescribed Concerta (methylphenidate), a central nervous system stimulant medication for ADHD. Georgia stated that shortly after the medication was prescribed, Sandra started to get better grades and her teacher noted that her attention and concentration had improved significantly. However, her mother noticed that as she entered puberty, she started to become more irritable, especially when she took her medication for school (Gloria had her taking the medication on school days, only). Although never a social child, toward the end of middle school and in the transition to high school, Gloria stated that Sandra was becoming more reclusive. Although she had a few close friends, these friends were not what Gloria would have liked to see as Sandra’s “friends,” since they came from very dysfunctional home situations. The psychologist asked Gloria to take a seat in the waiting room while she asked Sandra some questions, privately. Both Gloria and Sandra agreed that this would be appropriate at this time. When asked what her biggest problem was, Sandra said she was very angry that her mother does not understand her. She said she is very uncomfortable in social situations and that her mother makes this worse by approaching strangers and talking to them or saying things to her in public that other people might overhear. She said her mother is loud and talks about personal things that are private to her, and she is devastated when her mother does this in public. She felt her mother was very judgmental and critical of her. She said her mother has made comments about her to other people that are embarrassing (saying she is 4 feet, 11½ inches tall; one foot is bigger than the other). She ended up saying that her mother just does not get her. Sandra agreed to come for therapy sessions, where the psychologist said she would help her to learn how to cope with her fears and feelings of discomfort socially and also work to help her mother to understand her better. Sandra said she was looking forward to coming to sessions with the psychologist. REASON FOR REFERRAL Gloria brought Sandra to the clinic because she was concerned about her poor social skills and her increased tendencies to avoid being out in public and socializing with her peers. She was becoming increasingly self-conscious and reclusive. She was fearful of going to places that were not familiar, and even when going to familiar places, she would try to be as inconspicuous as possible and often ask to leave soon after they got there. She wanted Sandra to be more outgoing like she was. ASSESSMENT RESULTS Information regarding the specific assessment instruments used in this assessment and guidance in the interpretation of standard scores and T scores can be found in Appendix C. During the intake, the psychologist had Gloria complete the Child Behavior Checklist (CBCL) while Sandra completed a number of self-report scales (Child Depression Inventory [CDI-2]; Revised Child M anifest Anxiety Scale [RCM AS-2]; and the Youth Self-Report [YSR]). Sandra and her mother were in agreement that she demonstrated a number of Anxious/Depressed symptoms, although the degree of elevation was significantly higher on Sandra’s rating (T score of 93) compared to her mother’s rating (T score of 67). Sandra and her mother agreed that she demonstrated symptoms, including: feeling she must be perfect; feeling worthless; nervous; self-conscious; and worries; however, Sandra also noted that she cries a lot; has many fears; is fearful of going to school; fears she will do something bad; is feeling guilty; and has had thoughts of suicide. None of the other scales on Gloria’s CBCL were elevated and all ratings were within the normal range (T score 40–60). Sandra endorsed several scales in the elevated ranges with clinical ratings on scales for Withdrawn/Depressed symptoms (T score 70), Social Problems (T score 77), Thought Problems (T score 77), and Attention Problems (T score 74). Withdrawn/Depressed symptoms were evident in: enjoys little; rather be alone; won’t talk; secretive; shy/timid; and withdrawn. Sandra indicated Social Problems in behaviors such as: lonely; doesn’t get along with others; jealous; feels others are out to get her; gets teased; and not liked by others. On the RCM AS-2, Sandra’s overall score for Anxiety was a T score of 67 which is in the At-risk Range, with elevations on individual scales for Physiological Anxiety (T score of 63) and Social Concerns (T score of 67). Items endorsed on the Social Concerns scale, included: others seem to do things easier than I can; I feel that others do not like the way I do things; I feel alone even when there are people with me; other people are happier than I; I feel someone will tell me I do things the wrong way; and a lot of people are against me. On the CDI-2, her overall depression score was a T score of 73, however, all individual scales were only marginally elevated, with the exception of the scale for Interpersonal Problems which was a T score of 84. Items endorsed on this scale, included: I get into fights many times with other people; I do not have any friends; and I do not want to be with people at all. Based on the results of the interview and behavioral rating scales, the psychologist diagnosed Sandra with social anxiety disorder (SAD) (social phobia) and developed several goals for Sandra’s treatment plan, which included cognitive behavioral therapy (CBT) to work on assisting Sandra to recognize how her negative thoughts are contributing to her anxious feelings and work on trying to get her to reframe her thinking into more positive terms (use of Situation, Feelings, and Thoughts worksheets); psychoeducation for Sandra’s mother regarding the nature of SAD and how she can assist Sandra to develop her coping skills; and have Gloria and Sandra talk to the pediatrician regarding the potential to switch medications from Concerta which may be contributing to feelings of anxiety to something like Strattera (atomoxetine), a selective norepinephrine reuptake inhibitor which may target both ADHD and anxiety. ISSUES, TRENDS, AND TREATMENT ALTERNATIVES The lifetime prevalence rate for anxiety disorders in children and adolescents is estimated to be between 15% and 20% (Beesdo, Knappe, & Pine, 2009). Generally, anxiety disorders are far more prevalent in females than males with rates ranging from twice as many to three times as many females having an anxiety disorder than males (Pine, Cohen, Gurley, Brook, & M a, 1998). Although this pattern seems to be consistent across all age groups for most anxiety disorders (Roza, Hofstra, van der Ende & Verhulst, 2003), certain anxiety disorders, like SAD, are more prevalent in females during adolescence (Weems & Costa, 2005). Experiencing social fears, such as excessive shyness, have been reported in up to 20% of the population, with approximately 13% meeting diagnostic criteria for SAD, with typical onset in childhood or adolescence (Knappe, Sasagawa, & Creswell, 2015). SAD is among the most common mental disorders in children and adolescents. Studies suggest that 6% of children (Chavira, Stein, Bailey, & Stein, 2004) and 12.1% of adolescents meet criteria for a diagnosis of SAD (M erikangas et al., 2011). However, despite high rates of prevalence of the disorder, Colognori et al. (2012) found that few students are actually treated for the disorder. Colognori et al. (2012) surveyed a sample of over 1,500 high school students and found that 17.2% of the sample met criteria for SAD (clinical cutoff score on the M anifest Anxiety Scale); however, only 14% of those who met criteria were receiving any sort of services for the disorder. Of those receiving services, 68% saw a therapist outside of school, 22% saw a school counselor, and 6.5% were being treated medically. According to the DSM (APA, 2013), 75% of individuals who have SAD have onset of the disorder between 8 and 15 years of age, with the median age of onset being 13 years of age. Youth with SAD have been noted to have fewer friends, engage in limited extracurricular activities, and often experience issues with school attendance and underachievement (Khalid-Khan, Santibanez, M cM icken, & Rynn, 2007). Temperamental traits such as fear of negative evaluation and behavioral inhibition (which is predominantly an inherited trait) can predispose an individual to SAD. The DSM (APA, 2013) notes that shyness should be distinguished from SAD when social reticence impacts social, occupational, or other important areas of functioning, According to the DSM -5, “only a minority (12%) of self-identified shy individuals in the United States have symptoms that meet criteria of social anxiety disorder” (p. 206). During adolescence there is increased social pressure at a time when important cognitive and social-emotional changes are taking place. The result is that due to the marked increased in social pressures, youth encounter more powerful emotional experiences and are often faced with tendencies to engage in risk-taking behaviors (Casey et al., 2010). This is a vulnerable period of development which is evident in peak prevalence rates for anxiety and depression, which can often cooccur resulting in a cumulative prevalence rate of approximately 15% at 16 years of age (Costello, M ustillo, Erkanli, Keeler, & Angold, 2003). Caouette and Guyer (2014) suggest that SAD is prevalent in adolescence because those who have an inhibited temperament (mediated by arousal of the amygdale, basal ganglia, and prefrontal cortex) are faced with pressure to engage in social activities during this time period when they are motivated to develop a cautious approach that has been rooted in childhood. The conflict now is evident between the pressure to engage in activities and the extreme fear of humiliation and embarrassment that might result from such social engagement. It has also been suggested that adolescence also brings with it a pronounced change in perspective and preoccupation with peers and romantic interests. Compared to adults, adolescents are far more apprehensive regarding peer feedback and react more negatively to peer exclusion (Reijntjes, Stegge, Terwogt, Kamphuis, & Telch, 2006; Westenberg, Drewes, Goedhart, Siebelink, & Treffers, 2004). Although there is significant improvement in self-regulation in adolescence compared to earlier stages of development, studies using functional magnetic imaging resonance techniques have found that the integration of the prefrontal cortex with other brain areas is not as effective as it is in the adult brain. Adolescents still lag behind adults in the ability to inhibit responses, planning ability, and future orientation (Steinberg et al., 2009). The immaturity of the prefrontal network in conjunction with heightened neural activity and excitation during adolescence results in adolescents responding to situations with inflated reactions, whether this involves responding to a distressing (stressful) or pleasurable experience. In addition, the sex hormones are also responsible for heightened responsiveness in the prefrontal cortex and amygdale which are instrumental in our recall for emotional events and our interpretation of nonverbal emotional expressions (Steinberg et al., 2008). Increases in sensitivity and heightened activation of the emotional centers and increases in hormone levels can result in instabilities in adolescent moods. It has been determined that adolescents report more dissatisfaction with their mood states, which has been attributed to an increase in stressful life experiences during this period, such as problems at home and school, relationship problems, and family conflict (Larson & Ham, 1993). In addition, adolescents tend to be more self-consciousness and increasingly use social comparison (social referencing) as a means of self-evaluation compared to pre-adolescent children (Elkind, 1967, 1985). The preschool child views the world through an egocentric perspective (egocentrism) because of an inability to take the perspective of another. In adolescence, the ability to think about thinking (metacognition) and consider abstract and hypothetical situations can result in a self-conscious framework for analysis. Adolescents are also highly sensitive to emotional information due to heightened brain activity in the subcortical regions relative to immaturity in the prefrontal cortex. Within this context, adolescent egocentrism can result from excessive self-reflection and a preoccupation that they are the focus of everyone’s attention. Two important concepts that are fundamental to adolescent egocentrism are the concepts of the imaginary audience and personal fable (Elkind, 1967; Elkind & Bowen, 1979). The imaginary audience reflects the adolescent’s concern that everyone is looking at them which may cause them to retreat into their own private world or perform for the audience (talking loudly, wearing dramatic clothing, etc.). The personal fable typically reflects an exaggerated sense of uniqueness (“You couldn’t possibly understand what I am going through!”), which may also place the adolescent at risk for danger, since they do not generalize that mishaps of others could ever happen to them (e.g., teen pregnancy, reckless driving) which increases their feelings of invulnerability. In their study of over 100 middle school students, Alberts, Elkind, and Ginsberg (2007) found that scores on an instrument measuring personal fable increased with age, were higher in males than females, and were positively related to risk-taking. Eventually, sharing experiences with peers often enhances the understanding that others share similar feelings and concerns. However, adolescents who are isolated from peers may continue to harbor fears of being scrutinized and criticized by others, as well as increased feelings of being misunderstood, which can increase the risk for developing SAD. Studies using behavioral paradigms have found that over time, sharing experiences with peers should contribute to adolescents developing a growing understanding of another’s mental state; a tendency to “mentalize” in terms of visual perspective-taking, feelings, and motivations (Dumontheil, Apperly, & Blakemore, 2010; Vetter, Leipold, Kliegel, Phillips, & Altgassen, 2013); and a more differentiated sense of prosocial behavior (Guroglu, van Den Bos, & Crone, 2014). The DSM -5 (APA, 2013) considers SAD (social phobia) as an excessive anxiety regarding a social situation or multiple social situations where the individual is fearful of scrutiny by others. Examples of situations that might be associated with SAD include social interactions (communicating with individuals; meeting new individuals), being observed (e.g., eating), or performing in front of others (e.g., talking in front of the class; giving a speech). For children, the anxiety must also be evident in peer interactions, not just during interactions with adults. The anxiety results from the fear that the individual will be judged by others in a negative way, leading to humiliation, embarrassment, and rejection. Because of these intense feelings, social situations are avoided if possible, and if situations cannot be avoided, they are experienced with intense fear and anxiety which may result in a panic attack. The DSM -5 uses the specifier “performance only” to refer to a form of SAD that is restricted to situations where the individual is fearful of performing or speaking in public. Velting and Albano (2001) found evidence of two adult subtypes of the disorder: generalized social phobia (pervasive across most social situations) and specific social phobia (evident in particular situations, e.g., public speaking). Hofmann et al. (1999) found that almost half of the adolescents in their study had the generalized subtype of the disorder which is the more severe form associated with higher levels of psychopathology. Wittchen, Stein, and Kessler (1999) revealed that compared to those with specific SAD, adolescents and young adults with the generalized form of SAD developed the disorder at earlier ages and were more likely to have a history of behavioral inhibition, as well as exposure to a greater number of early childhood risk factors. A typical profile of someone with SAD would often include having fewer friends, avoidance of social situations, and experiencing difficulties participating in activities that involve others, such as classroom discussions, answering or asking questions, working in groups, and avoiding social situations and interactions, such as joining clubs or groups (Connolly, Bernstein, & The Work Group on Quality Issues, 2007). SAD has been associated with feelings of loneliness, depression (Beidel et al., 2007), and impairment in functioning that can impact a number of areas, including transitions, employment, suicidal ideation, and increased risk for substance use and abuse (Kessler, 2003; Stein & Stein, 2008). In an effort to provide specific treatment alternatives for youth with SAD, researchers have explored the potential risk factors and underlying causes of SAD, including variables of personality and temperament, such as behavioral inhibition and negative affectivity/physiological hyperarousal (cognitive triad), and environmental factors such as parenting style (Beesdo, Knappe, & Pine, 2009; Knappe et al., 2009). De Voogd, Wiers, Prins, and Salemink (2014) investigated SAD in adolescents and the role of negatively biased attention on the interpretation and recall of information (M athews & M acLeod, 2005). Based on theories involving the cognitive triad, De Voogd et al. (2014) suggest that individuals with SAD are very self-conscious and anticipate and believe that they will not do well in social interactions and social events which ultimately becomes a self-fulfilling prophecy because they become so nervous and anxious in anticipation of the event that they are unable to perform adequately. Studies have determined that cortisol release in response to a stressful situation is related to selective attention toward social threat (Dandeneau, Baldwin, Baccus, Sakellaropoulo, & Pruessner, 2007). As a result of attentional bias, the tendency to preferentially focus attention on negative information can be a predictor of potentially negative outcomes (White, Suway, Pine, Bar-Haim, & Fox, 2011). Using a visual search technique (subjects had to find a smiling face among a grid of faces with emotional expressions), De Voogd et al. (2014) found that attention bias training was successful in reducing attentional bias for negative information and decreasing symptoms of SAD. Treatment for Social Anxiety Disorder Studies have demonstrated that the majority of children and youth with anxiety disorders benefit from cognitive behavioral therapy (CBT) (In-Albon & Schneider, 2007).Within the realm of specific and social phobias, several types of treatments have been integrated into cognitive behavioral programs (CBT), including psychoeducation to better understand the nature of negative thought patterns and specific cognitive and behavioral methods to decrease anxiety and to reframe negative thought patterns, such as participant modeling and reinforced practice. A review conducted by Davis and Ollendick (2005) indicated that reinforced practice and modeling showed the greatest degree of empirical support for their efficacy in reducing fearful or phobic reactions to stimuli. Reinforced practice is one of the several different forms of exposure therapy traditionally used to treat fears and phobias. Exposure therapy is a form of CBT for anxiety and fear-based disorders that involves repeated approaches toward a fearprovoking situation. Exposure can be graduated or intense (such as in flooding therapy), brief versus extended, and imagined or in vivo/real life (Craske, Liao, Brown, & Verliet, 2012). Reinforced practice using these methods can positively reduce anxiety (Ollendick & King, 1998), especially if used in conjunction with systematic desensitization programs based on methods initially developed by Wolpe (1958). Systematic desensitization involves initial training in methods of deep relaxation (deep breathing or muscle relaxation exercises); developing a fear hierarchy (from the least feared situation to the most feared situation); and gradually progressing up the list pairing the feared situation with deep relaxation, until the situation no longer evokes an anxious response. At each step in the hierarchy, the individual is exposed to a higher level of approximation to their feared situation while pairing each step with a relaxation response. Reinforcement of the child’s attempts and contingent on the successes of the approach or avoidance typically takes the form of verbal praise and is used to shape behavior in the required direction. As noted earlier, negative attention can be a powerful motivating force for avoidance and withdrawal behaviors in children with SAD. For children who have an attention component to the maintenance of their social phobia, application of praise and attention during approach behaviors can be very successful (Davis, Kurtz, Gardner, & Carman, 2007). By the same token, withdrawal of attention or praise (while remaining empathic and supportive) can be very helpful in reinforcing appropriate behaviors during fearful responses. Research has demonstrated that the application of reinforcements for approach and the withdrawal behaviors can be a significant treatment intervention for shaping appropriate responses to fearful situations that would have traditionally been maintained by attention, escape, and avoidance behaviors (Davis et al., 2007; Zlomke & Davis, 2008). Another important technique used in the treatment of phobias is participant modeling and observational learning which are used to demonstrate positive responses to feared social situations. The models can be live or seen on video-taped segments, although live models (known as in vivo participation) have been shown to have more successful outcomes than those viewed on tapes or imagining oneself in a fearful situation (covert or imaginal participation). Participant modeling provides a framework for breaking down difficult steps in the fear hierarchy into tasks that are more manageable task, while supporting each step with guidance and feedback (Zlomke & Davis, 2008). The following programs have been developed, specifically, to treat children and youth with SAD. The discussion will initially focus on two programs that are traditionally used in community clinic settings and the discussion will eventually shift to applications of intervention programs within the school environment. All the programs discussed below include variations on four pivotal treatment elements: psychoeducation; exposure techniques (construction of a fear hierarchy and use of reinforced practice); participant modeling; and acquisition of anxiety coping mechanisms/skills (problem-solving, relaxation). Two programs that have been researched in clinical/community populations include CBT (CBTG group [Albano, M arten, Hold, Heimberg & Barlow, 1995] and CBTI individual [Clark, 2001] formats) and social effectiveness therapy (SET; Beidel, Turner, & M orris, 2000). Cognitive behavioral therapy: The majority of interventions used for children with SAD were initially developed to treat anxiety in general (Herbert et al., 2009) and were based on CBT techniques developed for adult populations (Zaider & Heimberg, 2003). There are significantly fewer CBT programs developed to treat anxiety in child and adolescent populations. One CBT program which has proven successful in treating anxiety disorders in children and youth is the Coping Cat Program (Kendall & Beidas, 2007), which was discussed in Case 14, Shirley Yong; however, as noted previously, the Coping Cat Program was developed for generalized anxiety disorder and not specifically for SAD. Although the majority of studies conducted on CBT for SAD have been conducted using adult populations, studies have demonstrated that CBTG can be an effective approach to treating SAD in children and youth (Hayward et al., 2000; Spence, Donovan, & BrechmanToussaint, 2000). In their study of the use of individual and group CBT programs for children. Treatments using a more directed CBT program that targets negative attention bias as the treatment focus have also demonstrated post treatment success in reducing symptoms of SAD in adolescents De Voogd et al. (2014). In their investigation of attention bias, Legerstee et al. (2010) found that positive outcomes did not significantly differ between CBT delivered in group (41% of children were free from symptoms of anxiety) or individual (48% of children were free from symptoms of anxiety) formats. Social effectiveness therapy for children (SET-C): SET-C is a program that consists of 24 sessions which are presented over a 12-week period. Each week, one of the sessions focuses on exposure, while the second session focuses on social skills training. Initial results revealed significant gains in several areas, including increased social skills, reduced social fear and anxiety, decreased associated psychopathology, and increased social interaction Beidel et al. (2000). Follow-up revealed that the majority of gains were maintained 5 years following treatment (Beidel, Turner, & Young, 2006). The program involves four core components, including Child and Parent Education, Social Skills Training, Peer Generalization Experiences, and In Vivo Exposure. The program begins with a focus on psychoeducation and then focuses on the last three components, simultaneously (Beidel et al., 2006). All components were delivered in group format, with the exception of the In Vivo Exposure which was presented in individual sessions averaging 1 hour in length. The Peer Generalization sessions involved interaction with children who did not have social phobia in a natural setting, to allow children with SAD the opportunity to practice skills they had learned. Increased emphasis has been placed on the advantages of providing services in schools for children and adolescents with mental health issues, especially internalizing disorders, such as anxiety disorders M asia-Warner, Nangle, and Hansen (2006). School-based mental health interventions can become one of a number of services that have been integrated into the school culture and in many cases may be the venue that students prefer. A recent study by Husky, Sheridan, M cGuire, and Olfson (2011) revealed that 80% of youth who were identified “at-risk” for mental health problems would likely access treatment from school-based services compared to only 42% who indicated that they would access communitybased treatment. Given these advantages, school-based services have been increasingly recognized as a critical avenue for helping address the unmet mental health needs of youth with anxiety disorders. However, Herzig-Anderson, Colognori, Fox, Stewart, and Warner (2012) recommend that additional research be conducted to determine the best methods for training school personnel to implement evidence-based treatments. Recognizing the need for an empirically supported program that could be provided in the schools, M asia et al. (1999) developed a school-based program, Skills for Social and Academic Success (SASS), based on techniques developed by Beidel, Turner, and M orris (1998) in their program called SET-C. The program previously described is somewhat unique in that it has an emphasis on peer-mediated learning, which is especially conducive to use within a school setting. Adolescents enrolled in the SASS program demonstrated significant reduction in social anxiety compared to the wait list control group (Fisher, M asia-Warner, & Klein, 2004). The SASS program typically runs over the course of 3 months and involves 12 (40 minute) weekly in-school group sessions. The groups are comprised of 3–6 students and are facilitated by one or two group leaders. Group sessions are devoted to four main topics, including (1) psychoeducation, (2) realistic thinking, (3) social skills training, and (4) exposure. The two final group sessions are concerned with relapse prevention. In addition to the group sessions, there are two (20minute) individual sessions. In addition to the above, the program also involves four weekend social events lasting approximately 1½ hours where children in the SASS program can mingle with peers (called peer assistants) who do not have social anxiety issues and participate with them practicing their social skills in activities such as bowling or rollerblading. Parents are encouraged to attend two group sessions (45 minutes) which focus on psychoeducation regarding social anxiety issues and techniques that can be used to assist the child at home. Teachers can also be invited to attend similar sessions for their information. The following is a very brief description of what each of the five main topics focus on and the overall goals of each of the session topics. The first sessions evolve around Psychoeducation and Realistic Thinking where participants are given an overview of what SAD is all about and the relationship between thoughts, feelings, and behaviors. Emphasis is placed on increased awareness that thoughts drive feelings, and it is the anticipation of negative outcomes that drives the anxiety. The goal is for students to identify the negative thoughts and to practice developing the necessary skills to replace these negative thoughts with more positive “realistic” ways of thinking (M arisa Warner, Fisher, Shrout, Rathor, & Klein, 2007). Social skills sessions focus on developing skills in four key areas: (1) Initiating Conversations, (2) M aintaining Conversations and Establishing Friendships, (3) Listening and Remembering, and (4) Assertiveness. Concepts are introduced and students are given opportunities to practice each skill within the group session. The first session involves topics to initiate conversations with others and the importance of attending to nonverbal communication. Throughout the training sessions, students are given feedback regarding their performance and also provide feedback for their peers. There are five Exposure sessions referred to as “Facing your Fears”. During these sessions, participants are introduced to the role that avoidance plays in maintaining anxiety and presented with information regarding an exposure technique to assist in reducing the anxiety. Students are assisted in the development of a personal fear hierarchy by rank ordering ten anxiety-provoking situations using a scale called the subjective units of distress scale assigning ratings from 1 to 100 (1 = very calm to 100 = extreme distress) for each situation on the hierarchy ladder. Individual sessions involve practicing these exposure trials and mastering their fear hierarchy. The object is to reduce the fear by at least 50% after each exposure. A final group session focuses on Relapse and Prevention. Scaini, Belotti, Ogliari, and Battaglia (2016) investigated the impact of specific variables on therapeutic outcome, including the magnitude and duration of CBT. Results indicated that the higher number of CBT sessions and the inclusion of social skills training exercises were variables that enhanced the positive outcomes of CBT for children and adolescents with SADs. Post-Case Questions 1. It is possible to explain SAD from a number of theoretical positions and case formulations. Develop a case formulation to explain the development of SAD from a cognitive and behavioral perspective. 2. Sandra’s therapist is using CBT charts as homework assignments to assist Sandra in better identifying the negative feelings that are causing her anxious responses to social situations, and to help her identify “realistic” thoughts that could apply in this situation.An example of the CBT chart and Sandra’s responses follows: Develop your goal and treatment plan for the session with Sandra based on what she has given you as her homework assignment. 3. Individuals who experience various anxieties, fears, and phobias can benefit from the use of exposure techniques such as systematic desensitization and exposure and response prevention based on behavioral methods that gradually expose the individual to the fearful situation/object while the individual executes relaxation responses (e.g., deep breathing, mediation) that counteract fearful responses. David is 15 years old and he is experiencing serious problems resulting from a SAD. He is fearful of approaching other students at school and his parents are very concerned because he is making excuses to avoid social situations. Assist David to develop a fear hierarchy to increase his ability to start conversations and engage with other students in his school. 4. In Chapter 1, the Introduction, case formulation from a biological perspective discusses several implications for malfunction of GABA and cortisol production in the etiology of anxiety disorders. Provide a case formulations for Sandra’s SAD based on a biological perspective, including theories of behavioral inhibition. In addition, provide a case formulation for Sandra from an attachment perspective. 5. Sandra and her mother are two very different personality types. Develop a case formulation from a parenting perspective that would discuss how dynamics between these two distinct personality types might have a positive and/or negative impact on Sandra’s disorder. 6. Based on information from theory and research regarding biological, social, emotional, and cognitive development, explain why adolescence is a particularly vulnerable time for the development of SAD. 7. Studies have noted that as high as 30%–40% of those with ADHD have a comorbid anxiety disorder (Jarrett, 2013). However, stimulant medication, which is the most common medication used for ADHD, has been found to be less effective in children who also have an anxiety disorder (Blouin, M addeaux, Firestone and Van Stralen, 2010), while not reducing and potentially increasing the anxiety. Geller et al. (2007) found that atomoxetine (Strattera) did effectively reduce both anxiety and ADHD symptoms in children with comorbid ADHD and anxiety. Conduct a research investigation and provide a statement supported by research regarding the impact of stimulant medication on preexisting anxiety disorders in children with ADHD. 8. Suggested individual or group presentation activity: You have been invited to provide feedback to the school regarding Sandra’s assessment. Prepare a script for role-playing each of the player’s parts in the school meeting, mentioned above. Who do you think should be attending the meeting? 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Non‐pharmacologic treatments for social anxiety disorder. Acta Psychiatrica Scandinavica, 108, 72–84. Zlomke, K., & Davis, T. E. (2008). One-session treatment of specific phobias: A detailed description and review of treatment efficacy. Behavior Therapy. 39, 207– 223. 5 INTRODUCTION TO PROBLEMS OF MOOD: DEPRESSION AND BIPOLAR DISORDERS BIPOLAR DISORDERS The DSM-5 (American Psychiatric Association [APA], 2013) has made a major change regarding how bipolar disorders are to be conceptualized relative to depressive disorders. With its focus on presenting a continuum of mental illness based on developmental onset and severity, the DSM-5 states that the rationale for the placement of bipolar disorders as separate from depressive disorders and between chapters on schizophrenia spectrum and psychotic disorders and depressive disorders was based on the need to recognize bipolar disorders “as a bridge between the two diagnostic classes in terms of symptomatology, family history, and genetics” (APA, 2013, p. 123). As such, the DSM-5 emphasizes family history as “one of the strongest and most consistent risk factors for bipolar disorders” with a “ten-fold increased risk” for the disorder among adult relatives with bipolar I or bipolar II (APA, 2013, p. 130). Although, historically, bipolar I has been considered to be the more serious variant of the disorder, the DSM questions this assumption based on the increased recognition of the amount of time that individuals with bipolar II are in a depressive state and the high degree of impairments the disorder causes to their functioning on the job or in social relationships resulting from instability in mood. Bipolar disorder has been considered by many to be a more severe disorder than major depression based on reports of lifelong recurrence and higher rates of comorbidity with other disorders, such as anxiety and substance use disorders (Angst, 2007). Bipolar disorder I is diagnosed when an individual meets criteria for experiencing a manic episode which has been “preceded or may be followed by a hypomanic episode or major depressive episode” (p. 123), while Bipolar II is diagnosed if a hypomanic episode follows or precedes a major depressive episode, and there has never been a manic episode (pp. 132–133). In order to improve the diagnostic reliability in the criteria, the DSM-5 has expanded Criterion A for manic and hypomanic episodes so that in addition to a distinct period of “abnormally and persistently elevated, expansive or irritable mood,” the episode also includes “persistently increased goal-directed activity or energy,” lasting for at least 1 week (manic episode) or 4 consecutive days (hypomanic episode) (APA, 2013, p. 124). Other criteria remain unchanged from the previous DSM and include three or more symptoms (four if the mood is only irritable), from Criterion B, including grandiosity (inflated self-esteem); decreased sleep; pressured speech; flight of ideas; distractibility; increased goal-directed activity; and excessive engagement in high-risk activities. While mania is associated with severe impairment, hypomania does not cause marked impairment. Developmentally, bipolar disorder is difficult to diagnose in children and adolescents since many of the above symptoms overlap with symptoms for other disorders, such as attention deficit/hyperactivity disorder (ADHD), including distractibility, racing thoughts, pressured speech, and less need for sleep. Since children and adolescents also often manifest symptoms of depression as irritability, the DSM warns that a diagnosis of bipolar should only be given in cases where there is an identifiable “timebased” episode of irritability marking the onset of Criterion B symptoms. In addition, there are high rates of comorbidity with anxiety disorders (75% of those with bipolar disorder also have anxiety disorders), ADHD, and the disruptive behavior disorders adding to the complexity of this diagnosis (APA, 2013, p. 132). In addition to the increased emphasis on increased energy (activity) as well as mood for Criterion A symptoms, the DSM has also added a number of specifiers that can assist in clarifying the nature of the bipolar disorder, such as those accompanied by symptoms of anxious distress (restless, keyed up); rapid cycling (4 mood episodes within 12 months); or melancholic features (loss of pressure and emotional reactivity, guilt, weight loss, depression). Because symptoms of bipolar disorders can manifest in conditions that do not meet all criteria for bipolar I, II, or cyclothymic disorder, or mimic bipolar disorder, especially in children, the DSM has a number of possible alternatives for diagnosis, including disruptive mood dysregulation disorder (DM DD) (see depressive disorders below for an explanation), and other specified bipolar and related disorders, which includes depressive episodes with short-duration hypomania included in Section III, “Conditions for Further Study.” The DSM-5 suggests that future study be conducted to determine whether this new category should be established for individuals who experience at least one major depressive disorder (M DD) and at least two episodes of hypomania, lasting 2–3 days. These hypomanic episodes would meet all criteria for a hypomanic episode, however would be shorter than the required 4-day duration (p. 787). DEPRESSIVE DISORDERS The chapter on depressive disorders (previously called “mood disorders”) has incorporated a number of changes in addition to removing the bipolar disorders from the chapter and establishing a unique section for these disorders separate from what would be considered as “unipolar” versus bipolar disorders. Included within this chapter are the original disorders from the previous edition, including MDD, persistent depressive disorder (previously known as dysthymia), and depressive disorders that are medication/substance-induced and those related to medical conditions. New to the chapter are premenstrual dysphoric disorder, which has been moved from Appendix B (“Criteria Sets and Axes Provided for Further Study” of the DSM-IV), and a new category of depressive disorders, disruptive mood dysregulation disorder (DMDD), which was created to address concerns of overdiagnosis of bipolar disorder in children up to 18 years of age. After a discussion of the criteria for a major depressive episode, criteria for DM DD will be addressed. MDD: Individuals are diagnosed with M DD if they experience a major depressive episode which requires five or more symptoms evident during the same 2-week period, with at least one symptom meeting criteria for (1) depressed mood (which may appear as irritability in children and adolescents) or (2) loss of interest or pleasure. The other 7 symptoms of major depressive episode include significant weight loss/gain (failure to meet expected weight for children); nightly, insomnia, or hypersomnia; psychomotor agitation or retardation; feelings of worthlessness, guilt; problems in concentration/decision-making; and recurrent suicidal ideation (APA, 2013, p. 161). Although the previous version of the DSM excluded bereavement (of 2 months or less) from the criteria for M DD, the DSM-5 omits this exclusion, due to the recognition that bereavement can last up to 2 years, and the degree to which bereavement can act as a significant psychosocial stressor. Although depression can occur at any age, the prevalence rates increase significantly in adolescence with the onset of puberty. Persistent depressive disorder (previously known as dysthymia): The category of persistent depressive disorder replaces the disorder of dysthymia and chronic M DD in the DSM-IV. Criteria for persistent depressive disorder differ from criteria for M DD in two important ways, including the duration of the disorder and the number of symptoms required. For a diagnosis of persistent depressive disorder, depressed mood (irritability in children and adolescence) must be evident for most days (with no lapse from depressive symptoms for longer than 2 months) over the course of 2 years for adults (1 year for children and adolescents), with evidence of an additional two symptoms from a list of six possible symptoms, including problems of appetite (overeating or undereating); insomnia or hypersomnia; fatigue; low self-esteem; poor concentration/decision-making; and feelings of hopelessness. The DSM-5 notes that if symptoms meet criteria for M DD over the course of 2 years (either during or preceding persistent depressive disorder), then a diagnosis of persistent depressive disorder, as well as M DD should be applied. The DSM-5 also includes specifiers for M DD and persistent depressive disorder, including the addition of symptoms of anxious distress and melancholic features. DMDD: There has been increased concern regarding the suitability of criteria for bipolar disorder for children and youth, especially in view of the rapidly increasing rates of diagnosis of the disorder in children. In their study of prevalence rates for bipolar disorder among children, youth, and adults in 1996 compared with rates in 2004, Brotman et al. (2006) found alarmingly high increases in prevalence rates between these two time periods for children (53.2% increase) and teens (58.5% increase) relative to adults (3.5% increase). Since symptoms of pediatric bipolar disorder often are accompanied by patterns of volatile behaviors and low frustration tolerance, also seen in disruptive behavior disorders, such as oppositional defiant disorder (ODD) and attention disorders, such as ADHD combined presentation, some researchers have suggested that the use of “irritability” as a marker for bipolar has been confused with bouts of “episodic irritability” associated with depression and more “chronic” forms of irritability associated with ODD, ADHD, and some variants of autism spectrum disorders (Geller et al., 2000; Leibenluft, Charney, Towbin, Bhangoo, & Pine, 2003). In order to address these concerns and the resulting overdiagnosis of bipolar disorder in children and youth, researchers have suggested the use of the term severe mood dysregulation syndrome to identify children who exhibit these severe forms of irritability. In the DSM-5, DM DD was included in this chapter to address the above issues and concerns and to assist in distinguishing children who demonstrate severe and persistent irritability “relative to children who present with classic (e.g., episodic) bipolar disorder” (APA, 2013, p. 157). However, given the close association between symptoms of ODD and DM DD, the diagnosis of DM DD remains controversial (see case 11, Scott M ichaels, and case 19, M atthew M organ). Criteria for DM DD require that the disorder be present for at least 1 year, occur in more than one setting, and include two major criteria, involving Criterion A, severe temper outbursts (verbal or physical) that are significantly beyond what would be expected (intensity/duration) given the situation, and Criterion D, a predominant mood of severe irritability and or anger that is evident between tantrums. Tantrums must be inconsistent with developmental level (Criterion B) and occur three or more times weekly (Criterion C). The diagnosis is reserved for children and youth between 6 and 18 years of age, with onset before 10 years of age. It is important to consider children in this category, if and only if the severe irritable or angry mood is present “most of the day, nearly every day.” The diagnosis cannot accompany a diagnosis of ODD, intermittent explosive disorder or bipolar disorder, but can be comorbid with M DD, ADHD, conduct disorder, and substance use disorders. Individuals who meet criteria for ODD and DM DD are given a diagnosis of DM DD (APA, 2013, p. 156). Differential Diagnosis Because of the nature of DM DD, it is important to be able to distinguish this disorder from others that will present with similar features, including bipolar disorder, ODD, ADHD, M DD, the anxiety disorders, and autism spectrum disorder. In their study of bipolar disorder in preschoolers and young schoolage children, Wilens et al. (2003) described manic episodes as those that demonstrated abnormally high levels of “giddy, goofy, drunk-like” or severely irritable mood and temper outbursts (p. 497), in the presence of at least three other symptoms, from the following list: grandiosity, insomnia, pressured speech, flight of ideas, distractibility, extreme goal-directed behavior, and excessive pleasurable activities (e.g., masturbation) (p. 497). In making a differential diagnosis between DM DD and bipolar disorder, Youngstrom, Findling, Youngstrom, and Calabrese (2005) emphasize that it is important to not define bipolar disorder by symptoms such as “distractibility, impulsivity, concentration problems, and motor agitation” that overlap with other disorders, but to focus on those symptoms which can assist in making a differential diagnosis associated with bipolar disorder, namely, grandiosity, hypersexuality, pressured speech, and racing thoughts characteristic of mania. Furthermore, bipolar disorder should be considered as an episodic disorder, and as such, irritable mood states should be identifiable as episodes distinct from day to day functioning, and in the company of other bipolar symptoms (such as grandiosity and elevated/expansive mood), as opposed to DM DD where irritability/anger is persistent over many months (at least 1 year). When considering DM DD and ODD, Wozniak et al. (2005) suggest that irritability associated with ODD can best be described as the type of irritability associated with being easily annoyed, which can result in loss of temper. Although children who meet criteria for DM DD will also exhibit symptoms of ODD, only approximately 15% of those with ODD would meet criteria for DM DD (APA, 2013). However, a recent study by M ayes, Waxmonsky, Calhoun, and Bixler (2016) found significant overlap in symptoms between the two disorders, with 92% of children with DM DD exhibiting symptoms of ODD and 66% of children with ODD demonstrating symptoms of DM DD which lead researchers to suggest the ICD-11 deviate from the DSM by considering DM DD as a type of ODD (specifier) rather than a different disorder. Irritability associated with M DD can best be associated with the type of irritability that one relates to a mad/or cranky mood that would be evident most of the day (Wozniak et al., 2005). These descriptors can assist in distinguishing episodic or milder forms of irritability from the severe form of pervasive irritability and angry outbursts associated with DM DD. REFERENCES American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders-5. Washington, DC: Author. Angst, J. (2007). The bipolar spectrum. British Journal of Psychiatry, 190, 189–191. Brotman, M . A., Schmajuk, M ., Rich, B. A., Dickstein, D., Guyer, A. E., & Costello, E. J. (2006). Prevalence, clinical correlates and longitudinal course of severe mood dysregulation in children. Biological Psychiatry, 60, 991–997. Geller, B., Zimerman, B., Williams, M ., Bolhofner, K., Craney, J. L., & Delbello, M . P. (2000). Diagnostic characteristics of 93 cases of a prepubertal and early adolescent bipolar disorder phenotype by gender, puberty and comorbid attention deficit hyperactivity disorder. Journal of Child and Adolescent Psychopharmacology, 10, 157–164. Leibenluft, E., Charney, D. S., Towbin, K. E., Bhangoo, R. K., & Pine, D. S. (2003). Defining clinical phenotypes of juvenile mania. American Journal of Psychiatry, 160, 430–437. M ayes, S. D., Waxmonsky, J. D., Calhoun, S. L., & Bixler, E. O. (2016). Disruptive mood dysregulation disorder symptoms and association with oppositional defiant and other disorders in a general population child sample. Journal of Child and Adolescent Psychopharmacology, 26(2), 101–106. Wilens, T., Biederman, J., Forkner, P., Ditterline, J., M orris, M ., & M oore, H. (2003). Patterns of comorbidity and dysfunction in clinically referred preschool and school-age children with bipolar disorder. Journal of Child and Adolescent Psychopharmacology, 13, 495–505. Wozniak, J., Biederman, J., Kwon, A., M ick, E., Faraone, S., & Orlovsky, K. (2005). How cardinal are cardinal symptoms in pediatric bipolar disorder? An examination of clinical correlates. Biological Psychiatry, 58, 583–588. Youngstrom, E. A., Findling, R., Youngstrom, J. K., & Calabrese, J. R. (2005). Toward an evidence-based assessment of pediatric bipolar disorder. Journal of Clinical Child and Adolescent Psychology, 34, 433–448. CASE 17 MARIA SILVA : ANXIOUS AND SAD OR DEPRESSION BEREAVEMENT M aria is an 11-year-old girl who is currently enrolled in the 6th grade. Although M aria does take medication for thyroid issues, which is monitored by her pediatrician, her mother could not remember the name of the medication during the intake. In addition, M aria takes iron and B12 supplements. M aria was referred for assessment by her pediatrician who had M aria and her mother complete a number of questionnaires, and their responses (a score of 9 on the Public Health Questionnaire [PHQ] and a score of 14 on the generalized anxiety scale [GAD-7]) suggested a diagnosis of ICD-10, F39 unspecified mood (affective) disorder. Presenting complaints included fatigue, loss of appetite, loss of interest in activities, lack of motivation, and anxiety. DEVELOPMENTAL HISTORY/FAMILY BACKGROUND M aria’s mother (Heather) was not sure about her family background (her maiden name was Adams) except that her parents had lived in New York (where she was born) all their lives. On the other hand, M aria’s father (David) was very aware of his family heritage and very proud that his grandparents immigrated to the United States from Portugal and settled in Pennsylvania where both his parents continue to reside. M aria’s mother stated that she met M aria’s father in Florida after they both moved here from the North and were introduced by friends. Her husband works as a project manager for a large corporation and she is employed in fashion design for a Florida-based retailer. M aria has one older brother, Steve who is 14 years of age, and a younger sister, Anna who is 10. M aria’s mother mentioned that M aria gets along well with her siblings and that neither of the other children exhibits any of the difficulties that M aria presents, although M aria tends to act like a parent to her younger sister and is very protective of her. M aria’s mother provided the following information regarding her developmental history. M aria weighed 7 pounds 2 ounces at birth and the pregnancy, labor, and delivery were all normal. Early years were normal with the exception that compared to her siblings, M aria had more difficulty being calmed when upset. She experienced night terrors at an early age and would scream in the night and not recall any difficulties or problems when she would eventually wake up. However, fear of the dark often resulted in M aria sleeping with her mother or having her mother sleep in her bed to comfort her during the evening when she was feeling unsettled. Her developmental milestones were ahead of schedule. M aria walked at 10 months and was using simple phrases to communicate at 7 months of age. In the early school years, M aria experienced some difficulties with separation anxiety and was anxious and fearful of attending school. Often her mother would have to take her to the school and wait with her to ensure that she did not try to run back to the car. Her mother said that her biggest fear then was similar to what it is now, which is not doing well and disappointing others. M aria was mostly reticent during the intake interview but did respond to specific questions. When asked what was most difficult for her, she mentioned that she has problems following along when the teacher is explaining something. She said it is easy to get distracted and forget about what she was doing or thinking at the time. Her mother noted that she had asked to be homeschooled, but given her tendencies to withdraw, her mother did not support her request. The family has noted significant problems in the past two years with the death of close family members. Within the past 2 years, M aria has lost both grandparents who died within a year of each other. In addition, her uncle passed away just last month. M aria’s mother said that they were very close to the grandparents and that Heather tended to work out of an office in their home so that she could provide daily care for both her parents. M aria would visit often since their home was very near her school. Heather noted that she had just sold her parents home a month ago and that the need to be involved in the sale of the home and furnishings took its toll on all of them. She said they are just now in the grieving process. Three months ago, M aria and her father were in a severe car crash on the way to school and both were taken by ambulance to the hospital. M aria suffered from trauma to her neck and ribs and her father is still receiving treatment for his injuries sustained in the crash. When asked about any specific concerns that she was having at this time, M aria stated “the fear of death and worry about people dying. I am afraid of losing special people and wonder about the after-life.” REASON FOR REFERRAL M aria was referred for assessment by her pediatrician due to concerns in areas of depression and anxiety. M aria’s mother noted that although there had been issues in the past, M aria’s symptoms of depression and anxiety had worsened in the past year and that she was having increasing difficulty concentrating on school work and completing tasks that she used to be very capable of. ASSESSMENT RESULTS Information regarding specific assessment instruments and guidelines to the interpretation of standard scores and T scores can be found in Appendix C. M aria was cooperative throughout the assessment and results are considered to be a valid index of current functioning levels. M aria’s overall score on the WISC-V was a Full Scale Score of 112 (106–117), which is in the High Average Range, at the 79th percentile. However, in M aria’s case, the General Ability Index (GAI) was the better indicator of overall intelligence since it is less influenced by scores from Working M emory and Processing Speed. Since Working M emory was one of M aria’s weakest areas of performance, the GAI of 118 (112–123) in the High Average Range at the 88th percentile was significantly higher than her Full Scale IQ of 112 and is the best indicator of overall intelligence. Scores were consistently in the High Average Range across all areas except Working M emory (standard score of 100), which includes scores for auditory (digit recall) and visual (picture recall) memory. However, when scores were tabulated for just the auditory working memory index (AWM I), her standard score dropped to 89, which was significantly below what would be anticipated given her GAI of 118. Since M aria had complained of problems following along with instructions, it is likely that poor concentration for auditory information may be related to symptoms associated with depression and anxiety. However, her profile also suggests that she meets criteria for a diagnosis of a specific learning disorder in the area of auditory working memory, suggesting that she will require a distraction-free environment in order to perform to the best of her ability when doing tasks that require mental problem-solving or mental manipulation of information. In addition, her score in the area of M ath Fluency was well below what would be anticipated given her GAI and current grade placement, resulting in a diagnosis of a specific learning disorder in mathematics (fluency). This would suggest that she would require more time to complete math tests than would be normally anticipated. In order to “rule out or rule in” attention problems being related to a disorder such as attention deficit/hyperactivity disorder (ADHD), the Conners Continuous Performance Test (CPT-3) was completed by M aria and the Conners ADHD Rating Scales were completed by M aria, her mother, and teacher. Results of the CPT-3 revealed only one atypical T score which is associated with minimal likelihood of ADHD, while the Conners Rating Scales revealed all areas to be within the normal ranges (T scores 40–60) across all three raters, ruling out a potential diagnosis of ADHD and inattentive presentation. The Achenbach System of Empirically Based Assessment (ASEBA) was completed by M aria (YSR), her mother (CBCL), and teacher (TRF). There was agreement among all raters that M aria demonstrates symptoms of withdrawn/depressed (little she enjoys; rather be alone; won’t talk; secretive; shy/timid; lacks energy; sad; withdrawn) and anxious/depressed behavior (cries a lot; has many fears; fears doing badly; feels she must be perfect; feels unloved; feels worthless; fearful; selfconscious; and tendencies to worry a lot). Both categories of responses were in the *Elevated to ***Clinical Ranges. M aria and her mother also rated somatic/complaints (nightmares; overtired; feeling dizzy; aches, headaches) and thought problems (can’t get her mind off thoughts; repeats acts; stores things; trouble sleeping) in the *Elevated to **At-Risk Range, while M aria endorsed social problems (lonely; feels others are out to get her; accident prone, and prefers younger) in the **At-Risk Range. (See Appendix C, Guidelines for the Interpretation of T scores, to better understand the difference between Elevated, At Risk and Clinical Ranges of behavior rating scales.) M aria also completed self-rating scales for Depression (Child Depression Inventory [CDI-2]) and Anxiety (Revised Chile Manifest Anxiety Scale [RCMAS]) and the General Anxiety Scale (GAD-7). On the CDI-2, M aria’s scores on all scales were above normal with the majority in the Very Elevated Range, including Total Depression, Emotional Problems, Negative M ood/Physical Symptoms, Functional Problems, and Interpersonal Problems. Her score on the Negative Self Esteem scale was in the Elevated Range, while her score for Ineffectiveness was in the High Average Range. The items that were indicative of Emotional Problems included sad many times; don’t like myself; feel like crying everyday; feel cranky all the time; trouble sleeping every night; tired all the time; loss of appetite; problems falling asleep. Items associated with Interpersonal Problems included not sure if I am important to my family; do not want to be with people at all; feel alone many times; have some friends but wish I had more. Revised Child Manifest Anxiety Scale (RCMAS) is a 37-item scale that evaluates anxious symptoms in a number of different areas. M aria’s overall score for anxiety was in the Clinical Range with a T score of 69. Symptoms of physiological anxiety (trouble making up her mind; hard to get to sleep at night; often feel sick to her stomach; hands feel sweaty); worry/oversensitivity (get nervous when things do not go the right way for me; worry a lot of the time; worry about what my parents will say to me); and social concerns/concentration problems (others seem to do things easier than me; feel others do not like the way I do things; feel alone when people are with me) were all elevated. The General Anxiety Disorder &-item Scale (GAD-7) looks at the degree to which an individual has experienced difficulty in the past two weeks, in meeting challenges in seven different areas. The levels of difficulty are rated from 0 (Not at all) to 3 (Nearly every day). M aria’s score on the GAD-7 was 17, which placed her in the level of Severe Anxiety. Situations which were encountered nearly every day included worrying too much about different things; trouble relaxing; being so restless that it is hard to sit still; and feeling afraid as if something awful might happen. In addition to the above specific learning disorders, M aria also scored very high on measures of depression and anxiety, resulting in the following diagnoses. M aria is diagnosed with symptoms of depression; M aria met criteria for other specified depressive disorder with the rationale being insufficient information regarding length of time symptoms have been present. Given her developmental history, her mother did mention early signs of depressed symptoms, but it is not clear whether these symptoms would have met criteria for a diagnosis. However, her extended grief over the death of her grandparents has continued to be demonstrated in high levels of symptoms of depression, especially physiological responses to distressing situations and vegetative symptoms (disturbed sleep, loss of appetite, fatigue, loss of interest or pleasure). M aria’s tendency to dwell on negative thoughts also results in a pervasive symptoms of worry and an inability to control the worry which meet criteria for generalized anxiety disorder (GAD). Symptoms of depression and anxiety have impacted her negative self-esteem, increasing her tendencies to worry about being successful in school and her tendencies to withdraw from social contact. ISSUES, TRENDS, AND TREATMENT ALTERNATIVES Comorbidity of Depression and Anxiety Comorbidity refers to the presence of two coexisting separate disorders in the same individual. Approximately, 10%–12% of children in the United States will meet criteria for a diagnosis of disorders of depression and/or anxiety (Beesdo, Knappe, & Pine, 2009; Garber & Weersing, 2010; M erikangas, Nakamura, & Kessler, 2009), both of which have been associated with significant impairment in functioning (Kendall et al., 2010). With respect to depressive disorders, Biederman, Faraone, and M ick (1995) reported that in excess of 95% of children with a major depressive disorder (M DD) also met criteria for another disorder, the most common of which was an anxiety disorder. For youth who meet criteria for depressive disorder, anxiety disorders are the most common comorbid condition, from 15% to 75% of those with depression also meeting criteria for an anxiety disorder (Avenevoli, Stolar, Li, Dierker, & M erikangas, 2001; Yorbik, Birmaher, Axelson, Williamson, & Ryan, 2004) and 10%–15% of those with anxiety also meeting criteria for a depressive disorder (Costello, M ustillo, Erkanli, Keeler, & Angold, 2003). However, lower rates for anxiety may have resulted from earlier research findings focusing more on anxiety, which has an earlier onset than depression, and may have missed underlying depressive symptoms in this population (Van Voorhees, M elkonian, M arko, Humensky, & Fogel, 2010). Based on their extensive literature review, Cummings, Caporino, and Kendall (2014) discuss a number of theoretical models that could be used to explain the comorbidity between depression and anxiety including the tripartite model originally proposed by Clark and Watson (1991), which suggests that although anxiety is unique in a factor related to physiological hyperarousal (PH) and depression is unique in the factor of low positive affectivity (PA), they both share a common core feature of negative affectivity (NA), which is shared in responses of anxiety and depression. However, more recent research with children suggests that this may not be the case in younger children. Bushman and Crowley (2010) investigated the role of low PA and NA in responses to anxiety and depression in children in third to sixth grades and found that in younger children PA and NA were less distinguishable; however, older children tended to see PA and NA as two unique factors. See also positive affectivity, negative affectivity, and physiological hyperarousal. Another model discussed is based on the behavioral inhibition system (BAS) and the behavioral activation system (BIS) proposed by Gray (1991). While the BIS is related to anxiety and tendencies to withdraw (inhibited), the BAS is associated with tendencies to act impulsively (undercontrolled). Studies have since linked BIS sensitivity to anxiety (Campbell-Sills, Liverant, & Brown, 2004), while BAS sensitivity has been linked to depression (Kasch, Rottenberg, Arnow, & Gottlib, 2002). Taking into consideration the various models that have been proposed to account for the link between depression and anxiety, Cummings et al. (2014) suggest three pathways that can be used to explain the co-occurrence of depression and anxiety, beyond genetic links, including Pathway 1, individuals that have a predisposition to anxiety be it environmental, temperamental, or biological; Pathway 2, individuals that share a predisposition to anxiety and depression; and Pathway 3, individuals who have a predisposition to depression. Individuals who develop depression (distress) via Pathway 1 do so as a result of anxiety impairment leading to enhanced tendencies to perceive conditions based on negative affectivity. Individuals with comorbid anxiety and depression explained by Pathway 2 often will demonstrate GAD with a moderate level of depression with symptoms of both overlapping in feelings of worry and anxious/distress. Finally, Pathway 3 describes individuals who are primarily depressed but who also develop anxious symptoms due to fears in areas vulnerable to being judged or evaluated by others (e.g., social anxiety disorder, GAD). With respect to the comorbidity of GAD and M DD, 62% of individuals diagnosed with GAD will have comorbid M DD. The presence of both disorders is also associated with higher rates of poorer treatment outcomes and treatment resistance (van Balkom et al., 2008). Depression and Bereavement Since M aria and her family were responding to a situation of bereavement of the loss of both grandparents and an uncle within the two years prior to intake, it is important to discuss the role of grief in symptoms of depression. In the previous version of the DSM (DSM-IV-TR, APA, 2000), the topic of bereavement was listed at the end of the manual in a section titled “Other Conditions That M ay Be a Focus of Clinical Attention.” In discussing criteria for mood disorders, the DSM-IV-TR (APA, 2000) stated that “even if depressive symptoms are of sufficient duration and number to meet criteria for a M ajor Depressive Episode, they should be attributed to Bereavement rather than to a M ajor Depressive Episode, unless they persist for more than 2 months or include marked functional impairment, morbid preoccupation with worthlessness, suicidal ideation, psychotic symptoms, or psychomotor retardation” (p. 326). Furthermore, in distinguishing bereavement from adjustment disorder, the DSM -IV-TR stated that “Bereavement is generally diagnosed instead of Adjustment Disorder when the reaction is an expectable response to the death of a loved one. The diagnosis of Adjustment Disorder may be appropriate when the reaction is in excess of, or more prolonged than, what would be expected” (p. 626). According to DSM-5 (APA, 2013), there are two ways for clinicians to address the topic of bereavement: individuals can be given the diagnostic label of F43.8 for Other Specified Trauma and Stressor Related Disorder with the specifier of persistent bereavement disorder, or individuals can elect the category of Persistent Complex Bereavement Disorder with proposed category criteria, which appears at the end of the DSM-V in a section titled “Conditions for Further Study.” In this section, suggested criteria for future consideration of persistent complex bereavement disorder are provided for symptoms that have persisted for 12 months after the death (6 months for children), including persistent longing for the loved one; intense sorrow and emotional pain; preoccupation with the deceased; and preoccupation with how the individual died (which may appear through themes of play, in children). In addition, the individual must experience 6 additional symptoms from categories of reactive distress to death (difficulty accepting the death; disbelief/emotional numbness; bitterness/anger; avoidance of reminders) and social/identity disruption (desire to die to be with the deceased; problems trusting others; feeling detached from others; feeling life is empty; confusion about one’s role in life; reluctance to pursue interests since the loss). According to the DSM-5 (APA, 2013), the disorder is more common in females than males and includes potential for “increased risk for social identity disorder and risk for depression …in older children and adolescents” (p. 791). Furthermore, while depressive disorders and persistent complex bereavement disorder “both share depressed mood… the latter is characterized by a focus on loss” (p. 792). However, as outlined in their review of the literature on bereavement in children and youth, Kaplow, Layne, Pynoos, Cohen, and Lieberman (2012) emphasize that the DSM-V criteria for these disorders of bereavement do not include sufficient information on how these criteria might be expressed at different developmental stages. Based on concepts of grief emanating from theories of “complicated grief,” qualitative differences in degree of grief responses, and “prolonged grief,” which stresses the length of time/duration of the grief responses, Kaplow and colleagues stress that the DSM -V criteria for bereavement lack the necessary consideration of essential developmental and environmental factors that might contribute to increasing or decreasing these symptom presentations in children. For example, if a caregiver cannot manage their own grief responses to the loss of a significant other (be it spouse, parent, sibling, or child), that could have significant impact on how the child is able to manage their mourning without caregiver support. For this reason, Kaplow et al. (2012) suggest that under such circumstances, the diagnosis of an adjustment disorder with persistent complex bereavement disorder might be the most appropriate diagnosis for children and adolescents. Kaplow et al. (2012) list a number of common reactions to bereavement evident in children in the first two years after a death, including elevations in feelings of depression/dissatisfaction, irritability, anxiety (generalized and separation), somatic complaints, behavioral problems, and social withdrawal. Approximately, 5%–10% of those who experience child bereavement will evidence clinically significant psychiatric symptoms (Dowdney, 2000). However, an important step in being able to differentiate between positive adjustment and maladjustment in bereaved children and adolescents is an understanding of normal responses to grief at different developmental levels. Green and Connolly (2009) present a list of trends in how children conceptualize death at various developmental levels, themes that might be evident in play, and manifestations in bereavement (p. 86). A summary of that information is presented in Table 17.1. Table 17.1 TREATMENT ALTERNATIVES: COMORBID ANXIETY AND DEPRESSION Psychotherapeutic Approaches In their extensive review of the literature of studies involving comorbid depression and GAD, Coplan, Aaronson, Panthangi, and Kim (2015) describe the results of the studies that used a variety of therapeutic models. Studies that focused on emotional dysregulation and the acceptance models emphasized the importance of the concept of exposure on changing the underlying emotional experience, while studies that supported the cognitive behavioral therapy (CBT) and intolerance models primarily addressed faulty cognitions that supported the development of worries. Proponents of the behavior activation model emphasized behavior over cognitive restructuring (CR), while those supportive of the interpersonal therapy model focused on relationship behaviors exclusive of the cognitive components accompanying the actions. Based on their review, Coplan et al. (2015) suggest that therapeutic programs that employed the behavioral activation model based on the work of Lewinsohn, Steinmetz, Larson, and Franklin (1981) revealed the most consistent positive outcomes. This approach which is summarized in the Glossary is based on the theory that individuals who are depressed have restricted access to positive events which further increases their negative mood state. In these cases, emphasis on activities such as event scheduling can have a positive impact on mood. However, they also suggest that the most notable similarities for all the models they discussed in their review included the following components: psychoeducation, homework, improving problem orientation by CR, progressive muscle relaxation exercises, and exposure. Chu, Colognori, Weissman, and Bannon (2009) adapted a behavioral activation format for group administration, group behavioral activation therapy for 7th and 8th grade students with anxiety and depression, and demonstrated the positive impact of the program which could be implemented in a school setting. In a later version of the program implementation, Chu et al. (2016) focused on antavoidance in vivo exposure techniques and found that youth who participated in the program administered in a school setting demonstrated higher rates of posttreatment behavioral activation and fewer negative thoughts. Examining the effectiveness of brief behavioral therapy, 8–12 weekly 45-minute sessions of behavioral therapy administered in pediatric clinics by master’s-level clinicians, Weersing et al. (2017) found that children and youth who participated in the program evidenced clinical improvements on all measures of anxiety and depression, post treatment. One of the main findings of this study was that contrary to many previous studies, the positive effects were especially strong for children from Hispanic families, which the researchers suggest may be very helpful in addressing any ethnic disparities noted in previous research. There are many CBT programs and manuals available for assisting children and adolescents with anxiety and depressive disorders. CBT programs often include various therapeutic techniques to assist in developing skills in areas related to problem-solving, CR, exposure, pleasant activity scheduling, behavioral activation (as noted above), and training in areas related to family communication skills, assertiveness, and relaxation exercises (Garber & Weersing, 2010). Unlike the primarily behavioral programs that focus exclusively on the generation of activity and behavioral-based responses, CBT programs emphasize the need to integrate thoughts, feelings, and behaviors to promote a more effective manner of coping with distressing situations by perceiving and responding in a positive manner to distressing events. Psychopharmacological Treatment In their review of the research regarding treatment for comorbid depression and anxiety, M elton, Croarkin, Strawn, and M cclintock (2016) found that the majority of studies presented findings on either anxiety or depression, but few addressed the optimum treatment for individuals with comorbid depression and anxiety. However, the authors suggest that selective serotonin reuptake inhibitors (SSRIs) such as sertraline and fluvoxamine are effective in treating both pediatric depressive disorders and anxiety disorders; however, they emphasize that research demonstrates that the combination of an SSRI plus CBT is superior to monotherapy. Treatment Alternatives: Bereavement Literature reviews of treatment for bereavement have been conducted using primarily adult populations (Forte, Hill, Pazder, & Feudtner, 2004) or child and adolescent populations (Currier, Holland, & Neimeyer, 2007; Rosner, Kruse, & Hagl, 2010). In their literature review of 74 studies on bereavement, Forte et al. (2004) analyzed studies involving a number of different interventions including structured therapeutic programs (cognitive behavioral, psychodynamic, psychoanalytical, or interpersonal therapies), pharmacotherapy, and support groups. However, of the 74 studies reviewed, only 1 study included family counseling for children and only 5 studies included group counseling for children, as a form of intervention. Results of the review were disappointing due to the lack of information on controlled clinical trials. The researchers stated that no rigorous evidence-based recommendations could be made regarding the programs reviewed with the exception for the positive effects of the medical management of depression (pharmacological treatment). Literature reviews involving child and adolescent populations have also been disappointing. Currier, Holland, and Neimeyer (2007) reviewed the effectiveness of bereavement interventions for children in 13 studies involving child and adolescent populations (8 years of age to 13 years of age) using a number of different interventions, with the vast majority using group therapy as the primary treatment modality. Interventions were delivered in a number of different settings including schools and other community-based organizations, participants’ homes, and once in a weekend camp setting. All programs shared an emphasis on sharing psychoeducational information and techniques to assist in developing better skills in areas of coping with grief, understanding of death and grief, sharing information about the loss, and grief-related feelings through verbal and graphic (e.g., drawing) methods. Results of the review revealed that interventions with bereaved children do not appear to produce a significant positive impact on child adjustment. Children who participated in the programs did not benefit relative to those who did not participate. Rosner et al. (2010) reviewed 25 studies involving preventative or psychotherapeutic interventions and found only small to moderate effects of interventions with children who were displaying more symptoms and impairment making better gains. Preventative interventions targeted individuals who were asymptomatic (displaying normal responses to grief) or symptomatic and were primarily based on theories emanating from attachment theory, psychodynamic, and expressive art therapy and included counseling, music therapy, psychoeducation, and techniques designed to normalize responses to bereavement through social sharing. Psychotherapeutic interventions included targeted individuals who were symptomatic and included psychoeducation and cognitive behavioral music therapy. All interventions reviewed primarily involved group and/or individuals and family members. Overall reviews suggest that more rigorous research is needed to provide a better sense of direction regarding the best treatment for children who are experiencing difficulties due to excessive and prolonged grief and how to best intervene given the child’s level of development and specific symptom presentation. There have been several case presentations in the research as well as pilot investigations in the area of grief/bereavement interventions. Some of the most recent intervention programs include the following play/expressive techniques: music-based bereavement therapy for child groups (Hilliard, 2001); music therapy and songwriting in bereavement therapy for children and adolescents (Dalton & Krout, 2005); Jungian family sand play for bereavement in children (Green & Connolly, 2009); and use of play/expressive therapies for bereavement in individual, family, and group treatment (Webb