2014 SHRP Summer Research Student Fellowship Date: 4-16-14 Project Director: Weili Lu, PhD Department/Program: Psychiatric Rehabilitation and Counseling Professions Contact Information: Weili Lu, PhD; Department of Psychiatric Rehabilitation, SHRP-Rutgers, 1776 Raritan Road, Scotch Plains, NJ 07076; Tel: 9088892453; Email: luwe1@shrp.rutgers.edu TITLE OF PROJECTS: 1. Posttraumatic Cognitions Inventory (PTCI): Psychometric Properties in a SMI Sample 2. Confirmatory Factor Analysis of PTSD Checklist among SMI Clients SYNOPSIS Project 1. Background: Studies have inferred that those with a diagnosis of an anxiety disorder such as PTSD exhibit negative cognitions, i.e., a negative perception of self and negative world view (e.g., Foa & Kozak, 1986; Brewin & Holmes, 2003; Ehlers & Clark, 2000; Foa & Cahill, 2001; Foa & Jaycox, 1999; Brewin, Dalgleish, & Joseph, 1996; Ehlers & Clark, 2000; Foa & Rothbaum, 1998). Numerous studies have investigated the role of dysfunctional cognitions in PTSD and supported their importance. Studies have also shown that those with PTSD are more likely to experience negative beliefs of self and the world in general than their non-PTSD counterparts (e.g., Beck et al., 2004; Foa, Ehlers, Clark, Tolin, & Orsillo, 1999; Startup, Makgekgenene, & Webster, 2007). Such beliefs are predictive of PTSD severity (Dunmore, Clark, & Ehlers, 2001). The PTCI is a commonly used instrument designed to measure trauma-related cognitions and beliefs. The assessment contains 33 statements that are rated on a Likert scale. Within the instrument are three subscales including negative thoughts of self (SELF), negative cognitions about the world (WORLD) and self-blame (BLAME). These three factors have shown excellent internal consistency, good test-retest reliability, and moderate to high correlations with the posttraumatic stress diagnostic scale (PDS). While studies of PTCI have validated its use among individuals exposed to various types of trauma, there remains a need to investigate the factor structure of PTCI among individuals with serious mental illness (SMI). People with SMI tend to have greater exposure to trauma and tend to have higher rates of PTSD. In order to address this need, Lu, Mueser, Rosenberg and Silverstein designed a study to examine the three-factor structure of PTCI in a SMI sample, the internal consistency of the subscales, and to examine its validity (concurrent and divergent) using measures of PTSD and depression, and to examine the role of gender, diagnosis, and types of trauma in the relation between posttraumatic cognitions and PTSD symptoms in the SMI sample. Study Design: The study will be using existing data from two previous clinical trials (funded by NIMH grant R01 MH064662). Participants in this study consisted of 308 individuals that had been diagnosed with SMI. The clinician administered PTSD scale (CAPS) was utilized to assess for PTSD diagnosis and symptom severity. Participants also completed the Posttraumatic Cognitions Inventory (PTCI), and an expanded version of the Brief Psychiatric Rating Scale, which measures severity of psychiatric symptoms. The Beck Depression Inventory was used to measure depression changes. Anxiety levels were measured using the Beck Anxiety Inventory. Self-reported mental health and physical functioning were assessed via Short Form-12, which is reliable and valid for patients with severe mental illness. The therapeutic alliance with case managers (i.e., not the therapist providing CBT treatment) was rated using the patient version of Working Alliance. Current State of Project 1: We have presented the poster at professional conferences. It needs to be finalized into a manuscript for publication. Data analysis will need to be refined as well. RESEARCH WORK TO BE DONE: Student will work with Lu in preparing manuscript for publication. Specific tasks would involve making tables and assisting with data analysis. TIME FRAME FOR COMPLETION: May 1-August 31-2014 SYNOPSIS Project 2. The PTSD Checklist (PCL; Blanchard, Buckley, Forneris, & Jones-Alexander, 1996) is used as a tool to screen and identify individuals with PTSD and to assess PTSD symptom severity. The checklist contains questions pertaining to PTSD symptoms. Items are rated on a 5 point Likert scale. A large number of confirmatory factor analyses (CFAs) have been run to test goodness of fit for various structural models of PTSD. In addition to the DSM-IV’s three-factor model (Andrykowski, Cordova, Hann, Jacobsen, & Studts, 2000), recent CFAs have suggested two competing four-factor models of PTSD, both of which display better fitness than other proposed models. The first of these models involves splitting the DSM-IV’s avoidance/numbing cluster into separate factors, creating intrusions, effortful avoidance, emotional numbing, and hyper-arousal dimensions (Leskin, King, D., King, L., & Weathers, 1998). The second proposed four-factor model creates a separate avoidance factor, expands emotional numbing into a broader dysphoria construct, and reduces hyper-arousal to a more specific, hyper-vigilance factor; thereby creating the four factors of intrusions, avoidance, dysphoria, and hyper-vigilance (Doebbeling, Simms, & Watson, 2002). The factor structure of PCL has been tested in populations such as disaster workers from the World Trade Center, elderly hurricane disaster. Study Design: Lu and colleagues designed a study to examine the use of confirmatory factor analysis to test three-factor and four-factor models of PTSD in a combined dataset. The final sample consists of 2,162 clients with serious mental illness. The participant sample was composed of the following: 1) 1,144 adults with serious mental illness (psychotic disorder or severe mood disorder) who were drawn from a larger investigation on risky behavior and sexually transmitted diseases in persons with severe mental illness (Rosenberg, Lu, Mueser, Jankowski, & Cournos, 2007; Lu, Mueser, Rosenberg, & Jankowski, 2008). All participants received treatment in a public mental health facility in four North Eastern states. Mental health centers were located in rural, urban, or metropolitan areas. Eight percent (8.4%) of the sample was located in urban and metropolitan areas, 19.7% from Veterans Affairs Medical Center, and 42.7% from inpatient services. 2) 1021 clients with SMI (defined by the State of New Jersey), receiving services at five outpatient and partial hospitalization programs (Lu et al., 2013). Data will be analyzed using SPSS-Amos20.0. Three models of PTSD will be tested, including the four-factor numbing model of Leskin et al (1998) and the four-factor numbing dysphoria model of Doebbeling et al. (2002). The preliminary results of CFA indicate that a four-factor numbing model, as proposed by Leskin et al. (1998), composed of intrusion, avoidance, numbing and hyper-arousal, is the best fitting model compared to the current DSM-IV three-factor model of PTSD and Doebbeling et al.’s (2002) four-factor dysphoria model. The preliminary findings suggest that PTSD symptoms can be best explained by the intrusion, avoidance, numbing and arousal clusters. This lends support for the newer conceptualization of four-symptom-clusters of PTSD proposed by the upcoming DSM-V. The findings provide more insight into the underlying psychopathological processes of PTSD. Future studies may seek to clarify the separate role of clusters in clinical presentation of PTSD among SMI clients. Current State of Project 1: We have presented the poster at UMDNJ research day. It needs to be finalized into a manuscript for publication. Data analysis will need to be refined as well. RESEARCH WORK TO BE DONE: Student will work with Lu in preparing manuscript for publication. Specific tasks would involve making tables and assisting with data analysis. REFERENCES for Project 1 American Psychiatric Association (2000). Diagnostic and Statistical Manual of Mental Disorders, 4th Edition, Text Revision (DSM-IV-TR). Washington, DC: American Psychiatric Association. Beck, A. T., Steer, R. A., & Garbin, M. G. (1988). Psychometric properties of the Beck Depression Inventory: twenty-five years of evaluation. Clinical Psychology Review, 8, 77–100. Beck, A. T. (1996). Beck Depression Inventories – II. San Antonio, TX: Psychological Corporation. Beck, J. G., Coffey, S. F., Palyo, S. A., Gudmundsdottir, B., Miller, L., & Colder, C. R. (2004). 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Psychometric properties of the PTSD checklist (PCL). Behavioral Research Therapy, 34(8), 669 – 673. Borenstein, A.R., Brown, L.M., Mortimer, J.A., & Schinka, J.A. (2007). Confirmatory factor analysis of the PTSD checklist in the elderly. Journal of Traumatic Stress, 20(3), 281 –289. doi: 10.1002/jts.20202 Bradley, K.A., Bush, K.R., Dobie, D.J., Epler, A.J., Kivlahan, D.R., Maynard, C., & McFall, M. (2002). Screening for post-traumatic stress disorder in female Veteran’s Affairs patients: Validation of the PTSD checklist. General Hospital Psychiatry, 24, 367 – 374. Ciechanowski, P., Dobie, D.J., Katon, W., Newman, E., & Walker, E.A. (2002). Validation of the PTSD checklist in an HMO sample of women. General Hospital Psychiatry, 24, 375 – 380. Curran, P.J., McHugo, G.J., & Mueser, K.T. (1997). Factor structure of the brief psychiatric rating scale in schizophrenia. Psychological Assessment, 9(3), 196 – 204. Cusack, K.J., Elhai, J.D., Frueh, B.C., Grubaugh, A.L., & Wells, C. (2007). 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Public mental health clients with severe mental illness and probable posttraumatic stress disorder: Trauma exposure and correlates of symptom severity. Journal of Traumatic Stress, 26, 266-273. Rosenberg, S. D., Lu, W., Mueser, K. T., Jankowski, M. K., & Cournos, F. (2007). Correlates of Adverse Childhood Events among adults with schizophrenia spectrum disorders. Psychiatric Services, 58, 245-253.