Journal of Obsessive-Compulsive and Related Disorders 1 (2012) 54–61 Contents lists available at SciVerse ScienceDirect Journal of Obsessive-Compulsive and Related Disorders journal homepage: www.elsevier.com/locate/jocrd Differences in obsessional beliefs and emotion appraisal in obsessive compulsive symptom presentation Angela H. Smith a,b,n, Chad T. Wetterneck b,c,1, John M. Hart b,d,2, Mary B. Short c,3, Thröstur Björgvinsson b,e,4 a University of Houston, Department of Psychology, 4505 Cullen Blvd. MS 5022, Houston, TX 77204, United States Houston OCD Program, Houston, TX, United States c University of Houston-Clear Lake, Houston, TX, United Sates d Center for Anxiety and Depression Treatment of Houston, TX, United States e McLean Hospital, Boston, MA, United States b a r t i c l e i n f o a b s t r a c t Article history: Received 23 June 2011 Received in revised form 7 November 2011 Accepted 16 November 2011 Available online 25 November 2011 Obsessive-compulsive disorder (OCD) is a heterogeneous condition with symptom presentation that includes contamination, harm, unacceptable thoughts, and symmetry. Researchers have begun to examine the ideographic nature of OCD symptoms to aid the development of specialized treatment approaches. Obsessional beliefs are often implicated in the development and maintenance of the disorder; however, much of the variance in symptom severity is not accounted for by these beliefs. Less attention has been paid to the role of emotions in OCD, and to date, no study has investigated beliefs about emotions (i.e., emotion appraisal) in clinical samples of OCD. In the present study, 44 participants were recruited from residential and intensive outpatient facilities and private practitioners specializing in OCD treatment. Participants completed measures of OCD severity, obsessional beliefs and emotion appraisal. Results indicated that both obsessional beliefs and emotion appraisal were correlated with each of the symptom presentations to varying degrees, and severity in each of the subtypes was predicted by a different model. Implications for cognitive and emotional conceptualizations of OCD are discussed. & 2011 Elsevier Ltd. All rights reserved. Keywords: Obsessive-compulsive disorder Obsessional beliefs Emotions Subtypes 1. Introduction Obsessive-compulsive disorder (OCD) is a debilitating disorder characterized by recurring distressing thoughts or images (obsessions), and behaviors intended to reduce distress, including repetitive overt or mental rituals (compulsions; American Psychiatric Association (APA), 2000) and avoidance. The relationship between obsessions and compulsions is such that obsessions evoke anxiety (or another state of negative affect), and compulsions are enacted to ameliorate the aversive feeling. This simplified explanation defines the struggle for many OCD sufferers; yet, OCD is a heterogeneous disorder with highly varied symptom n Corresponding author at: University of Houston, Department of Psychology, 4505 Cullen, Blvd. MS 5022, Houston, TX 77204, United States. Tel.: þ1 713 743 8600; fax: þ1 713 743 8633. E-mail addresses: ahsmith2@uh.edu (A.H. Smith), wetterneck@uhcl.edu (C.T. Wetterneck), drhart@cadthouston.com (J.M. Hart), shortmb@uhcl.edu (M.B. Short), tbjorgvinsson@partners.org (T. Björgvinsson). 1 Tel.: þ1 281 283 3364. 2 Tel.: þ1 832 264 8152. 3 Tel.: þ1 281 283 3324. 4 Tel.: þ1 617 855 4180. 2211-3649/$ - see front matter & 2011 Elsevier Ltd. All rights reserved. doi:10.1016/j.jocrd.2011.11.003 presentation. The phenomenology of both the obsessions and compulsions is diverse. Common obsessions include fears about contamination, causing harm, neatness or exactness, and violent, sexual, or religious thoughts. Compulsions may include washing, checking, ordering, counting, and praying. In the past decade, researchers have begun to systematically investigate the differences in symptom dimensions to contribute to the development of specialized treatment approaches. The present study adds to the existing body of literature by investigating correlates and predictors of severity in four symptom presentations. 1.1. Classification of OCD symptom presentation The surge in research related to the differences in OCD was initiated in part by the fact that up to 50% of individuals with OCD do not respond optimally to treatment (Baer & Minichiello, 1998; Cottraux, Bouvard, & Milliery, 2005; Fisher & Wells, 2005; Stanley & Turner, 1995). While there are several possible explanations for treatment ‘‘failures,’’ one approach to improving treatment outcomes is to target the idiographic nature of the symptoms by examining the correlates and predictors for each presentation type. While the heterogeneity of OCD is widely accepted, there is A.H. Smith et al. / Journal of Obsessive-Compulsive and Related Disorders 1 (2012) 54–61 some disagreement about the content and number of categories represented. A meta-analysis of 12 factor-analytic studies representing over 2000 patients with OCD supported four consistent symptom dimensions including contamination, harm, symmetry, and hoarding (Mataix-Cols, Rosario-Campos, & Leckman, 2005). However, researchers are now conceptualizing hoarding as distinct enough to warrant its own diagnostic category (cf., MataixCols et al., 2010); therefore, the present study used the classification derived by Abramowitz et al., 2010) and grouped obsessions and compulsions into the following: (1) thoughts related to contamination and washing behaviors, (2) thoughts related to responsibility for causing harm and checking behaviors, (3) thoughts related to symmetry and ordering behaviors, and (4) repulsive thoughts related to sex, religion, or violence and mental compulsions or neutralizing behaviors. The development of self-report measures including the Padua Inventory (PI; Sanavo, 1988), the Obsessive Compulsive Inventory (OCI; Foa, Kozak, Salkovskis, Coles, & Amir, 1998) and OCI-Revised (OCI-R, Foa et al., 2002), and the Dimensional Obsessive Compulsive Scale (DOCS; Abramowitz et al., 2010) have allowed researchers to examine the differences between these psychometrically derived OCD symptom dimensions. The OCI-R and PI are frequently employed to this end; however, several differences between these measures and the DOCS suggest that the DOCS may be a more informative measure. Firstly, the DOCS assesses severity in each symptom presentation multidimensionally, by inquiring about distress, functional impairment, and frequency of symptoms. The DOCS also assesses avoidance behaviors, a core characteristic of OCD not addressed in the OCI-R or PI. Finally, consistent with the structural framework of OCD, the DOCS does not include items related to hoarding. As research on the OCD symptom dimensions expands, utilizing measures that address each component of OCD symptomology, such as the DOCS, will increase the utility of the findings. The extant research examining the heterogeneity of OCD has largely focused on specific maladaptive beliefs, but many other factors (e.g., emotion appraisal) also may contribute to OCD development, maintenance, severity, and prognosis. Treatmentenhancing modifications are an anticipated outcome of research on the symptom dimensions, and broadening the scope of possible factors related to each subtype will further inform treatment innovations. A review of obsessional beliefs and emotions as they relate to OCD will provide the context for the present study. 1.2. Thought appraisal The appraisal theory of obsessions dominates OCD research and practice (Clark, 2004). These theories (Rachman, 1997, 1998; Salkovskis, 1985) posit that the interpretation of thoughts significantly contributes to the development of obsessions. More recently, belief-based models of OCD have been theorized (Rachman, 2002, 2004) and OCD researchers have distinguished three obsessional belief domains: over responsibility and overestimation of threat (RT), perfectionism and intolerance of uncertainty (PC), and importance of thoughts and need to control thoughts (ICT; Obsessive-Compulsive Cognitions Working Group [OCCWG], 2005). There is empirical evidence to suggest that these belief domains are associated with OCD; however, the results are not completely conclusive and much of the variance in symptom severity is not accounted for by obsessional beliefs (cf., Julien, O’Connor, & Aardema, 2007). Clinical observation alludes to specific relationships between belief domains and OCD symptom dimensions (e.g., over-responsibility and harm subtype), and limited empirical evidence provides support for the specificity of belief domains in the symptom 55 dimensions (Manos et al., 2010; Wheaton, Abramowitz, Berman, Riemann, & Hale, 2010). While there is considerable evidence to support the role of obsessional beliefs, the lack of a coherent model, varied empirical findings in clinical samples, and unaccounted variance in severity are causing researchers to look beyond cognitive appraisals to explain the OCD symptomology. 1.3. Emotions in OCD Anxiety, a universal experience with important protective functions, becomes problematic when the cue to danger is inproportionate to the actual threat in the environment. Calamari, Rector, Woodard, Cohen, and Chik (2008) found that anxiety sensitivity (AS; i.e., the fear of anxiety-related bodily sensations) contributed to models predicting OCD severity, beyond the cognitive appraisal constructs described above. The same study found that the relationship between AS and OCD symptom severity varied across symptom dimensions. Obviously, experiences of anxiety play a central role in anxiety disorders! However, there is evidence to suggest that anxiety is experienced with some variability in OCD (Nutt & Malizia, 2006) and that it may not be the primary feeling, or the only threatening feeling, experienced by individuals with this disorder. Rather, one’s relationship with their emotions in general, including other aversive emotions may also be implicated in problematic anxiety. Several emotions have been theorized as being fairly universal, including fear, disgust, and guilt (Power, 2006), and these emotions are suspected to be relevant to OCD etiology and phenomenology as well. 1.3.1. Disgust Disgust is a universal guttural response characterized by withdrawal from repulsive stimuli, such as animal and food products (Rozin & Fallon, 1987). Individuals experience disgust to varying degrees and greater disgust sensitivity has been related to OCD symptom presentation and severity (Berle & Phillips, 2006; Olatunji, Williams, Lohr, & Sawchuk, 2005; Tolin, Woods, & Abramowitz, 2006). In addition to elicitation by physical stimuli, Borg, Lieberman, and Kiehl (2008) identified that disgust may be elicited by incest and non-sexual immoral acts (e.g., theft and murder). This is consistent with cross cultural research findings that suggest a relationship between disgust and moral judgment (e.g., Haidt, Rozin, McCauley, & Imada, 1997; Schnall, Haidt, Clore, & Jordan, 2008). Research related to disgust and OCD has increased in recent years; yet this body of research is primarily related to contamination symptom presentations. Evidence supporting disgust related to immoral acts suggests that disgust may be implicated in the harm and unacceptable thoughts symptom dimensions as well. The appraisal of disgust experiences has yet to be examined in OCD, warranting an investigation. 1.3.2. Guilt Feelings of guilt have been related to greater symptom severity and poorer treatment prognosis in OCD (cf., Shapiro & Stewart, 2011). However, much of the research on guilt has primarily focused on the relationship between guilt feelings and beliefs about responsibility. Salkovskis and Forrester (2002) explain that over-responsibility is derived from the threat of physical or moral danger, a primary goal of preventing a negative outcome, and an inflated belief that one has the power to prevent the aversive outcome. Guilt is a natural response for an individual who feels wholly responsible for a negative outcome, particularly if they perceive their actions as morally unjust (Mancini & Gangemi, 2004). These findings blur the lines between feeling guilt and beliefs about responsibility and the fused relationship between these constructs may lend to a greater focus on the cognitive 56 A.H. Smith et al. / Journal of Obsessive-Compulsive and Related Disorders 1 (2012) 54–61 construct of responsibility over the emotional construct of guilt in both research and clinical practice. Examining threat from guilt in the various symptom presentations may help clarify when guilt is problematic in individuals with OCD, independent of feelings of responsibility. 1.3.3. Not just right feelings In addition to these emotions, many individuals with OCD may have trouble clarifying their emotions, and naming their internal experiences (i.e., alexithymia), and these individuals may report experiencing ‘‘not just right’’ feelings (NJRFs). Alexithymia is a personality construct characterized by difficulties in understanding, processing, and describing emotions (Sifneos, 1973). Research findings have suggested an association between alexithymia and OCD severity (Bankier, Aigner, & Bach, 2001; Rufer et al., 2004, 2006), and individuals with these difficulties may describe their experiences as ‘‘not just right,’’ when they are unable to articulate their specific experience. Additionally, OCD has been conceptualized as an inability to put closure to an experience (Reed, 1985), as exemplified by an individual who washes his hands until they ‘‘feel clean.’’ Similarly, many individuals with OCD describe needing to perform compulsions until they ‘‘feel right.’’ While research suggests that these feelings are distressing (Coles et al., 2005), it is not clear how these unnamed feelings compare to experiences of anxiety, disgust, and guilt. This forms the basis for examining threat from NJRFs in each of the OCD symptom dimensions. 1.3.4. Emotion appraisal Barlow (1991) suggested that anxiety disorders may be characterized as ailments of emotion processing. Recently, the role of emotion regulation has received attention in the research on anxiety and mood disorders (cf., Allen & Barlow, 2009). This research indicates that individuals with anxiety, including OCD, engage in maladaptive strategies (e.g., suppression) to regulate the frequency and experiences of emotions. There are differences in the ease with which individuals elicit, respond to, and recover from emotions, as well as individual differences in acceptance of emotions (i.e., judgment as appropriate, tolerable, or logical; Amstadter, 2008). Over-two decades of research on meta-emotion across disciplines suggests that there are individual differences in the way in which people evaluate their emotions. Mayer and Gaschke (1988) explain that emotion is experienced first directly and then reflectively. That is, the emotion is experienced, and one’s reflection on the emotion causes a secondary experience of emotion. Bartsch, Vorderer, Mangold, and Viehoff (2008) suggest that meta-processes (e.g., appraisal) influence the way in which emotions are expressed and regulated. Ultimately, the way in which appraises their emotions may impact the use of maladaptive emotion regulation strategies in OCD. However, elucidating how emotions are appraised and whether emotion appraisal is related to symptom severity in OCD is a necessary first step. Experiential avoidance, the avoidance of aversive private experiences including thoughts, feelings, and bodily sensations (Hayes, Wilson, Gifford, Follette, & Strosahl, 1996), has begun to receive attention in the OCD literature, and the relationship between overall experiential avoidance and OCD symptomology is inconclusive (e.g., Abramowitz, Lackey, & Wheaton, 2009; Briggs & Price, 2009; Manos et al., 2010). Some have suggested that an overall measure of experiential avoidance may be too broad to reflect symptoms in specific disorders (Manos et al.). Therefore, it may be more useful to investigate the appraisal of specific emotions rather than the appraisal of internal experiences in general. McCubbin and Sampson (2006) investigated the extent to which an individual feels that having a certain emotion (e.g., fear/anxiety) is dangerous (i.e., feeling threat from emotions). They posited that this trait characteristic is related to heightened awareness of danger, attempts to avoid emotions, and the use of maladaptive methods to cope with unpleasant emotions (e.g., performing compulsions). Their results found that threat from specific emotions significantly predicted obsessionality in a nonclinical sample, but this construct has yet to be examined in clinical populations. The present study examined individuals’ appraisal of anxiety, disgust, guilt, and NJRFs, as well as the frequency with which these emotions are experienced in a clinical sample. 1.4. Aim and hypotheses The current study contributes to the line of research investigating OCD symptom dimensions by exploring obsessional beliefs and emotion appraisal in four OCD symptom dimensions: contamination, harm, unacceptable thoughts, and symmetry. Based on previous findings (Julien et al., 2007; Wheaton et al., 2010), we predicted that each subtype would be partially predicted by at least one obsessional belief; (1) the contamination subtype would be associated with beliefs about responsibility/overestimation of threat and perceptions of threat from anxiety, disgust, and guilt; (2) the harm subtype would also be most closely associated with beliefs about responsibility/overestimation of threat and threat from anxiety and guilt; (3) the unacceptable thoughts subtype would be associated with beliefs about importance and need to control thoughts and threat from anxiety, disgust, and guilt; and (4) the symmetry subtype would be associated with beliefs about perfectionism/intolerance of uncertainty and threat from NJRFs. However, as this is the first study to examine threat from emotion, the investigation is somewhat exploratory, and perceived threat from each emotion was examined in relation to each of the symptom dimensions. 2. Method 2.1. Data collection A multi-site recruitment strategy was implemented in order to obtain a wide representation of symptom severity. Participants were recruited from residential and intensive outpatient programs in Texas and Maryland and from outpatient treatment providers in Texas, Kansas, and Wisconsin. Participants included 44 adults receiving residential (RES; n¼ 20), intensive outpatient (IOP; n¼ 10) or outpatient treatment (OP; n¼ 14) for OCD. Diagnoses of OCD were determined by treating clinicians, all of whom were behaviorally oriented psychologists and psychiatrists specializing in the treatment of OCD. A multi-site recruitment strategy that targeted individuals with varying levels of symptomatology was employed to increase the generalizability of the results. Eligible individuals in residential and IOP treatment were offered the opportunity to participate by a research assistant, and individuals in OP treatment were provided the opportunity from their treating clinician. Participants were also offered $10 for their participation; however, several individuals declined to accept payment. After informed consent was obtained, participants received a paper version of the study, which took approximately 30 min to complete. 2.2. Participants Participants (N ¼ 44) ranged in age from 18 to 62 (M¼ 31.86, SD ¼10.08), and were primarily Caucasian (n¼ 35, 79.5%). Other races/ethnicities were limited in representation and included Bi-racial (n¼ 3, 6.8%), Asian/Pacific Islander (n¼ 2, 4.5%), Hispanic (n ¼1, 2.3%), Middle Eastern (n¼1, 2.3%), other (n¼ 1, 2.3%), and not reported (n¼ 1, 2.3%). Males (n¼ 21) and females (n¼ 23) were equally represented in the study. 2.3. Measures Two measures were utilized to assess OCD severity. The Yale-Brown Obsessive Compulsive Scale- Self-Report (Y-BOCS-SR; Steketee, Frost, & Bogart, 1996) is a 10- item measure that contains five items related to obsessions and five related to A.H. Smith et al. / Journal of Obsessive-Compulsive and Related Disorders 1 (2012) 54–61 compulsions. Scores range from 0 to 40 (0–7¼ subclinical, 8–15 ¼ mild, 16–23¼ moderate, 24–31¼ severe, and 32–40 ¼ extreme), and scores of 16 and above indicate clinical levels of severity. The Y-BOCS-SR is highly correlated with the clinician conducted interview version of the Y-BOCS (r¼ .97; Baer, Brown-Beasley, Sorce, & Henriques, 1993), the gold standard for assessing OCD severity. The YBOCS-SR has shown acceptable internal consistency (Cronbach’s a ¼ .78 in an OCD sample) and test re-test reliability (r ¼.88, p o .001 in a non-clinical sample) over a 1 week period (Steketee et al., 1996). The internal consistency in this sample was excellent (Cronbach’s a ¼ .92). The Dimensional Obsessive Compulsive Scale (DOCS; Abramowitz et al., 2010) individually assesses severity from four types of obsessions: contamination, harm, unacceptable thoughts, and symmetry. For each subtype, severity is measured by the summation of (1) time occupied by symptoms, (2) avoidance behaviors, (3) distress from symptoms, (4) functional interference, and (5) ability to disregard obsessions and refrain from compulsions. Scores for individual symptom dimensions range from 0 to 20, with higher scores indicating greater severity. The DOCS has shown strong internal consistency for each of the symptom dimensions (a’s ranging from .94 to .96; Abramowitz et al.). Each of the DOCS subscales has acceptable test-re-test reliability over a 12 week period (r’s ranging from .12 to .6). The DOCS has also demonstrated strong concurrent validity with the Y-BOCS-SR (r¼ .54, p o .01) and OCI-R (r ¼.69, po .01). The internal consistencies in this sample were all excellent (Cronbach’s a’s¼ .95–.97). The Obsessive Beliefs Questionnaire-44 (OBQ-44; OCCWG, 2005) is a 44-item measure of belief domains related to obsessive thinking. The OBQ-44 consists of three factors: over responsibility and over estimation of threat (RT), over importance or need to control thoughts (ICT), and perfectionism or intolerance of uncertainty (PC). The level of agreement with each statement is rated on a 7-point scale from disagree very much (1) to agree very much (7), with a neutral (4) option. All items are scored in the same direction, and higher scores indicate greater strength of beliefs. Internal consistency coefficients (Cronbach’s a) for the three subscales ranged from .89 to .95 in a clinical sample (OCCWG). The OBQ-44 subscales were highly correlated with associated subscales on the PI-R (Burns, Keortge, Formea, & Sternberger, 1996), indicating strong convergent validity (OCCWG). The internal consistencies in this sample were all excellent (Cronbach’s a’s¼ .90–.95). The Perceived Threat from Emotions Questionnaire- Revised (PTEQ-R; McCubbin & Sampson, 2006) measures beliefs about emotions using nine questions for each of eight emotions: happiness, sadness, anger, fear/anxiety, disgust, guilt, lust, and strong emotions in general. Four subscales (i.e., anxiety, guilt, and disgust) were used in the present study because of their theoretical coherence with the OCD symptom dimensions and their relationship with OCD symptoms as previously reported in the literature. In addition to these, the questions were modified to ask about threat from NJRFs. The PTEQ was utilized in the study, because it seems to measure how one experiences their emotions, rather than the frequency of certain emotions. For example, questions include ‘‘Do you think it is dangerous to feel anxiety?’’, ‘‘Could anxiety cause you to lose control and do things you would later regret?’’, ‘‘When you feel anxiety does it seem it will last forever?’’, and ‘‘Could anxiety overwhelm you so that you are unable to function?’’ Responses are rated on a five-point scale ranging from not at all (0) to definitely (5). Subscale scores are generated by adding the first seven items of each scale, with higher scores indicating greater overall threat from emotion. The PTEQ also asks ‘‘Do you feel anxiety quite often?’’ This question was analyzed to determine the frequency of other emotional experiences in OCD. The PTEQ has demonstrated strong convergent validity with measures of mood, responsibility, and thought-action fusion (i.e., a measure of beliefs; McCubbin & Sampson). The internal consistencies in this sample ranged from good (PTEQ-Anxiety; Cronbach’s a ¼.86) to excellent (PTEQ-NJRFs; Cronbach’s a ¼.94). 57 Table 1 Symptom severity and independent variable means (and standard deviations). M (SD) Measures of OCD severity Y-BOCS-SR DOCS-contamination DOCS-harm DOCS-unacceptable thoughts DOCS-symmetry 21.18 7.34 7.07 8.89 3.93 (6.95) (6.48) (5.87) (5.29) (5.00) Predictor variables OBQ-44-RT OBQ-44-PC OBQ-44-ICT PTEQ-anxiety PTEQ-disgust PTEQ-guilt PTEQ-NJRF 67.00 66.80 47.32 16.55 9.34 11.09 9.45 (25.66) (22.91) (17.00) (6.55) (8.14) (6.92) (8.45) Note: Y-BOCS-SR ¼ Yale Brown Obsessive Compulsive Scale-Self-Report; DOCS¼Dimensional Obsessive Compulsive Scale; OBQ-44 ¼ Obsessive Compulsive Questionnaire; RT ¼ responsibility/overestimation of threat; PC ¼perfectionism/ intolerance of uncertainty; ICT¼ importance/control of thoughts; PTEQ ¼Perception of Threat from Emotions Questionnaire; NJRF ¼not just right feelings. score of 21.18 (SD ¼6.95). Mean severity scores for each of the three groups were as follows: RES ¼24.15 (sd ¼6.52), IOP ¼21.50 (sd ¼8.34), and OP¼16.71 (sd ¼3.75). Each group in the current sample had an average severity score of 16 or higher, indicating clinical levels of severity for each group. An analysis of variance (ANOVA) was used to compare mean severity scores by group on the Y-BOCS-SR. The analysis revealed a significant difference in OCD symptom severity on the Y-BOCS-SR (F(2,41)¼ 5.79, p o.01). Due to unequal sample sizes, post-hoc comparisons were conducted using Gabriel’s procedure. Post-hoc contrasts revealed a significant difference between RES and OP groups (t ¼7.44, po.05); however, there was no significant difference between RES and IOP or IOP and OP groups. Although there were some differences in severity between groups, the remaining analyses were conducted using a combined data set because the disparity in the number of participants in each group limited the utility of between-group comparisons. In addition, 10 participants had Y-BOCS-SR scores below 16, the cut-off widely used to indicate clinical level of severity. It was the authors’ intention to allow for generalizability of the results by not excluding participants who endorsed symptom severity at slight levels; therefore, all 44 participants were included in the remaining analyses. 3.2. Obsessional beliefs and emotion appraisal 2.4. Analytic plan OCD symptom severity was compared across treatment settings using an Analysis of Variance (ANOVA); ultimately, all participants were analyzed as a single group. Next, Pearson’s r correlations were conducted to determine zero-order relationships between OCD severity, obsessional beliefs, and emotion appraisal. Finally, a series of regressions were computed to test hypotheses about the prediction of symptom severity from obsessional beliefs and emotion appraisal. To adjust for the familywise error rate associated with running multiple regressions, the alpha rate for a significant model was adjusted from .05 to .0125 (i.e., .05/4). The DOCS subscales were used as dependent variables, and OBQ-44 and PTEQ factors were entered simultaneously into each regression. Beta coefficients were analyzed to determine the unique variance attributed to each predictor. 3. Results Mean scores for obsessional beliefs and emotion appraisal are presented in Table 1. Obsessional beliefs in the present sample were similar to those reported in the OBQ-44 validation study (OCCWG, 2005). Levels of responsibility/overestimation of threat and perfectionism/intolerance of uncertainty were endorsed more highly than importance/control of thoughts. Levels of threat from anxiety were higher than threat from disgust, guilt, and NJRFs. Additionally, the frequency of anxiety, disgust, and guilt experiences in this sample were substantially higher than those reported in a non-clinical sample. In the present sample, 88.6% of participants reported feeling anxiety quite often compared to 39.8% of participants in a non-clinical sample (McCubbin & Sampson, 2006). Similarly, in the present study participants endorsed feeling disgust (47.7%), guilt (86.4%), and NJRFs (51.2%) quite often. 3.1. Overall symptom severity 3.3. OCD symptom dimensions Symptom severity data are presented in Table 1. Overall, the sample reported a moderate level of severity. Y-BOCS-SR scores ranged from 10 (mild) to 38 (extreme), with an average severity Correlations between the Y-BOCS-SR and DOCS subscales indicate that the Y-BOCS-SR was significantly correlated with 58 A.H. Smith et al. / Journal of Obsessive-Compulsive and Related Disorders 1 (2012) 54–61 Table 2 Correlations between DOCS subscales and independent variables. Measure OBQ-44-RT OBQ-44-PC OBQ-44-ICT PTEQanxiety PTEQdisgust PTEQ-guilt PTEQ-NJRF Table 3 Correlations among independent variables. DOCS subscale Contamination Harm Unacceptable thoughts .31n .02 .01 .20 .56nn .29 .19 .51nn .30n .37n .43nn .44nn .29 .47nn .14 .40n .29 .42nn .37n .16 .00 .18 n .37 .39n nn .51 .44nn Symmetry nn .56 .65nn 1. 2. 3. 4. 5. 6. 7. OBQ-44-RT OBQ-44-PC OBQ-44-ICT PTEQ-anxiety PTEQ-guilt PTEQ-disgust PTEQ-NJRF p o .05. nn p o.01. n the DOCS-Contamination (r ¼.50, p o.01), DOCS-Harm (r ¼.34, p o.05), DOCS-Unacceptable Thoughts (r ¼.41, p o.01), and DOCS-Symmetry (r ¼.45, p o.01) subscales, supporting the use of the DOCS scales as measures of OCD severity. Additionally, although there was significant collinearity among the DOCSHarm, -Unacceptable Thoughts, and -Symmetry scales, there is enough variation to indicate that the scales measure severity unique to different symptom clusters. Significant correlations between the DOCS subscales and the independent variables are presented in Table 2. Relationships between each of the OCD symptom dimensions and the independent variables varied, and the number of variables correlated with each of the subscales ranged widely, further supporting the heterogeneity of OCD. For example, the DOCS-contamination subscale was significantly correlated with only one obsessional belief (i.e., OBQ-44-RT) and had a near significant relationship with PTEQ-disgust, whereas the DOCS-unacceptable thoughts subscale was significantly correlated with all seven independent variables. The harm and symmetry symptom dimensions were each significantly related to several factors including multiple PTEQ factors and at least one OBQ-44 factor. Finally, threat from anxiety was significantly correlated with three of the four symptom dimensions (excluding contamination). 3.4. Relationships among independent variables The intercorrelations among the independent variables are presented in Table 3. Each of the PTEQ scales was highly related to each other, while there were fewer significant relationships between the PTEQ and OBQ-44 factors (i.e., only 5 of the possible 10 relationships were significant). These results suggest that obsessional beliefs and emotion appraisal are unrelated constructs. A notable addition to the above finding is that PTEQ-guilt was not significantly related to beliefs about responsibility/overestimation of threat. 3.5. Predictors of severity in the OCD symptom dimensions Results for the regression analyses are presented in Table 4. The model in this study did not significantly predict severity in the contamination dimension (F(1,42)¼1.95, p¼.09). The model predicting the harm dimension accounted for 40% of the variance in severity (F(5,38)¼5.08, po.001), with beliefs about responsibility/ overestimation of threat uniquely contributing to variance. The 3. 4. 5. 6. 7. .66nn .37n .49nn .38n .23 .30n .22 .39nn .38n .57nn .28 .28 .25 .30n .36n .23 .38n .16 .50nn .63nn .46nn Notes: OBQ-44 ¼ Obsessive Compulsive Questionnaire-44; RT ¼ responsibility/ overestimation of threat; PC ¼perfectionism/intolerance of uncertainty; ICT¼ importance/control of thoughts; PTEQ ¼Perception of Threat from Emotion; NJRF¼ not just right feelings; GI ¼Guilt Inventory. n Note: DOCS ¼ Dimensional Obsessive Compulsive Scale; OBQ-44 ¼Obsessive Beliefs Questionnaire-44; RT ¼responsibility/overestimation of threat; PC¼ perfectionism/intolerance of uncertainty; ICT¼importance/control of thoughts; PTEQ¼ Perception of Threat from Emotions Questionnaire, NJRF¼ not just right feelings; GI ¼Guilt Inventory. 2. nn ¼ po .05. ¼p o .01. Table 4 Summary of the regression equations predicting the DOCS subscale scores. Adjusted R2 DV¼ DOCS-contamination Constant OBQ-44-RT OBQ-44-PC OBQ-ICT PTEQ-anxiety PTEQ-disgust PTEQ-guilt PTEQ-NJRF DV¼ DOCS-harm Constant OBQ-44-RT OBQ-44-PC OBQ-ICT PTEQ-anxiety PTEQ-disgust PTEQ-guilt PTEQ-NJRF DV¼ DOCS-UT Constant OBQ-44-RT OBQ-44-PC OBQ-ICT PTEQ-anxiety PTEQ-disgust PTEQ-guilt PTEQ-NJRF DV¼ DOCS-symmetry Constant OBQ-44-RT OBQ-PC OBQ-ICT PTEQ-anxiety PTEQ-disgust PTEQ-guilt PTEQ-NJRF B SE B b p 5.44 .12 .08 .07 .08 .20 .16 .13 3.60 .05 .06 .07 .19 .13 .20 .16 .46 .28 .18 .08 .25 .17 .17 ns .03 ns ns ns ns ns ns 2.54 .13 .06 .03 .18 .14 .09 .056 2.72 .04 .05 .05 .15 .10 .15 .12 .56 .21 .08 .20 .20 .11 .09 .ns o.01 ns ns ns ns ns ns .64 .00 .01 .07 .11 .08 .13 .09 2.70 .04 .05 .05 .15 .10 .15 .12 .15 .06 .23 .14 .12 .18 .15 2.84 .00 .07 .04 .05 .13 .18 .27 2.17 .03 .04 .04 .12 .08 .12 .10 .02 .30 .15 .07 .21 .25 .45 .13 .40 .27 ns ns ns ns ns ns ns ns .47 ns ns ns ns ns ns ns o.01 Notes: DOCS ¼Dimensional Obsessive Compulsive Scale; UT ¼unacceptable thoughts; OBQ-44 ¼Obsessive Beliefs Questionnaire-44; RT¼ responsibility/overestimation of threat; ICT¼importance/control of thoughts; PTEQ ¼Perception of Threat from Emotions Questionnaire; NJRF ¼not just right feelings. unacceptable thoughts dimension was predicted by the model, which accounted for 24% of the variance in symptom severity (F(7,36)¼3.23, po.01), with no factor emerging as a unique predictor. Finally, the model predicting the symmetry dimension accounted for 47% of the variance in severity (F(4,39)¼6.40, po.001), with threat from NJRFs contributing uniquely to the model. Post-hoc analyses revealed that the validity of the findings was not threatened by collinearity among the predictor variables. A.H. Smith et al. / Journal of Obsessive-Compulsive and Related Disorders 1 (2012) 54–61 4. Discussion OCD is a heterogeneous disorder with varied symptom presentation, and the differences in OCD have received increased attention in recent years. The current study contributed to the line of research on OCD symptom presentation by examining obsessional beliefs and emotion appraisal as they related to distress from four OCD symptom dimensions: contamination, harm, unacceptable thoughts, and symmetry. Results indicated that symptoms in each of the four symptom dimensions were predicted by a different model, supporting the heterogeneity of OCD symptoms. The results also implicate emotion appraisal as an important factor related to OCD and a possible contributing factor to differentiating the symptom dimensions. Together, these findings help clarify what is known about the OCD symptom dimensions and may provide potential for new targets for treatment. 4.1. OCD contamination dimension A majority of the research on OCD has examined the contamination dimension. Contrary to our hypothesis that contamination would be related to beliefs about responsibility/overestimation of threat as well as threat from anxiety, disgust, and guilt, in the present study, severity in the contamination dimension only was significantly correlated with one factor, beliefs about responsibility/overestimation of threat. One explanation for the current findings is that the construct of contamination itself may be heterogeneous. Often, individuals with contamination OCD either fear being contaminated by others or contaminating others. Beyond these, ‘‘emotional contamination’’ concerns arise for individuals who appraise certain stimuli as contaminated because of the emotions they elicit. For example, an individual may judge an article of clothing as contaminated not because of its physical properties, but because the item elicits feelings of guilt related to an event that occurred when they were wearing the clothing. Emotional contamination, or mental pollution (Rachman, 1994) may be responded to with overt rituals such as hand washing; however, this may occur until one feels ‘‘just right,’’ rather than for a specified amount of time. Therefore, a heterogeneous contamination subtype may explain the lack of significant relationships in the present study. Similarly, depending on the type of contamination concern, feelings other than anxiety may be elicited and feared, such as disgust related to contracting and guilt related to contaminating others. It was somewhat surprising that fear of disgust was not significantly correlated with contamination concerns in the present study (although the relationship was near significance). It is possible that obsessions in the present sample were more characteristic of fear of contaminating others rather than fear of self-contamination, in which case, disgust would be a less salient emotion. Thus, if the appraisal of specific emotions (i.e., PTEQ factor) is related to the specific type of contamination fear, it is possible that the limited sample size in the present study contributed to low power in detecting the relationship (i.e., not enough representation for each type of contamination fear). Finally, regression analyses revealed that the model was not a significant predictor of variance in contamination severity. These results are similar to those by Wheaton et al. (2010), who found that a model of obsessional beliefs and depression left almost 90% of the variance in contamination unaccounted for. Thus, other factors not included in the present study likely contribute to severity. 4.2. OCD harm dimension Consistent with our hypothesis, the harm dimension was correlated with obsessional beliefs about responsibility/overestimation of 59 threat as well as threat from anxiety and guilt. Harm obsessions also were correlated with threat from disgust and NJRFs; thus, threat from each of the emotions examined was significantly related to harm obsessions. Intuitively, most individuals would feel guilty if they unintentionally caused harm or failed to prevent harm to themselves or another; however, guilt may be more problematic when the feeling itself is appraised as threatening. Additionally, the lack of a significant relationship between beliefs about responsibility/overestimation of threat and threat from guilt in this sample is notable. We previously suggested that responsibly and guilt are often treated as fused constructs in the literature, and that the clinical emphasis on responsibility implies that problematic guilt is addressed indirectly by targeting beliefs about responsibility. These results suggest that the appraisal of guilt as threatening is independent of responsibility, and therefore, guilt may need to be addressed directly in therapy rather than treated as a byproduct of responsibility. The relationship between harm and beliefs about disgust may be explained by the idea of moral disgust. While the PTEQ does not differentiate between pathogen-related disgust and moral disgust, it is reasonable that an individual would feel morally disgusted if they caused or failed to prevent harm. Finally, the multiple regression analysis revealed that obsessional beliefs about responsibility accounted for unique variance in symptom severity related in the harm dimension. These results indicate that OCD symptomology is related to not only experiences of guilt but also feeling threatened by these guilt feelings. 4.3. OCD unacceptable thoughts dimension There is less research on unacceptable thoughts compared to contamination and checking. Consistent with our hypotheses, severity from unacceptable thoughts was related to importance/ control of thoughts and threat from anxiety, guilt, and disgust. This symptom dimension was also associated with threat from NJRFs. Severity from unacceptable thoughts was the only dimension in the present sample related to all three obsessional beliefs and all four PTEQ factors. However, no one factor contributed unique variance to the model. One explanation for numerous correlations is that grouping all unacceptable thoughts together increases the likelihood that many factors will be related to the construct. Repugnant thoughts are often violent, sexual, or religious in nature. Inquiring about each of these types of thoughts separately may narrow the factors related to each type of specific thought; further research is needed to determine if separating the unacceptable thoughts would be useful. Recent research on a non-clinical sample (Wetterneck, Smith, Hart, & Burgess, 2011) indicated that distress from sexually intrusive thoughts is related to both thought-action fusion (i.e., another common obsessional belief) and feeling threat from lust. However, only threat from lust and the frequency with which the thoughts occurred added unique variance to the model predicting distress. These findings bolster the argument for further examination of the relationship between obsessive-compulsive symptoms and beliefs about emotions. It is possible that the factors that cause distress from violent, sexual, and religious thoughts are just as varied as the factors that cause distress in the existing symptom dimensions. Improving the effectiveness of ERP for sexual, violent, and religious obsessions is a concern for OCD researchers and clinicians. These results indicate that several emotions are salient and threatening for individuals with this symptom presentation, providing a new treatment target for those who have typically focused on treating the anxiety. Future research is needed to clarify and specify these relationships so that treatment enhancements may be developed. 60 A.H. Smith et al. / Journal of Obsessive-Compulsive and Related Disorders 1 (2012) 54–61 4.4. OCD symmetry dimension Consistent with our hypothesis and the findings by Wheaton et al. (2010), severity in the symmetry dimension was correlated with obsessional beliefs about perfectionism/intolerance of uncertainty. Our hypothesis that the symmetry dimension would be related to threat from NJRFs is also supported by the present findings. Overall, the symmetry dimension was more strongly associated with threat from emotions than with obsessional beliefs, as it was related threat from three emotions (i.e., anxiety, guilt, and NJRFs) and one obsessional belief. Additionally, nearly half of the variance in the symmetry dimension was accounted for by the present model, whereas only 21% of the variance was accounted for in the model by Wheaton et al. (2010). Perhaps for a nebulous presentation like NJRFs, it is more difficult to verbalize the experiences and thus feelings are more strongly highlighted. Overall, these findings further support the importance of perceptions of emotions in OCD. 4.5. Conclusions While the results support the heterogeneity of OCD symptoms, patterns across symptom dimensions emerged as well. This is the first study to investigate perceptions about emotions in an OCD population and feeling threatened by emotions could be seen across all symptom dimensions. In addition, threat from emotions was substantially higher in this sample compared to a non-clinical sample. For example, 86.4% of the present sample reported experiencing guilt quite often, compared to 21.1% of participants in a nonclinical sample (McCubbin & Sampson, 2006). Similarly, 47.7% of participants in the current sample reported experiencing disgust quite often compared to 15.4% in the McCubbin and Sampson study. Thus, while threat from emotions did not uniquely predict severity in three of the four dimensions, the findings suggest that beliefs about emotions are not irrelevant to individuals with OCD. OCD treatments focus on the functional role between obsessions and compulsions and explain that compulsions are performed in order to reduce anxiety. However, these results suggest that some individuals may benefit if other emotions are targeted in treatment, especially guilt, disgust, and NJRFs. While NJRFs may differ somewhat from traditional conceptualizations of emotion, they represent an unpleasant internal experience that is highly relevant for some individuals with OCD. At minimum, it may be useful to discuss these other emotions when providing the treatment rationale, so that individuals who experience emotions other than anxiety feel that the treatment is relevant to their specific experience. Furthermore these emotions may need to be addressed differently than anxiety. There is empirical evidence to show that anxiety reduces as a result of ERP for OCD; disgust also reduces as a result of ERP, but at a slower rate (McKay, 2006). Additionally, focusing exposure work on overcoming fear from NJRFs may enhance the treatment for those presenting with symmetry concerns. Different ways of addressing emotions such as guilt, disgust, and NJRFs may also be effective; however future research will need to explore this further. Future research may also explore how emotion appraisal is related to maladaptive emotion regulation strategies in individuals with OCD. 4.6. Limitations Despite the new findings, limitations of the study should be noted. Firstly, the generalizability of the results is hindered by the fairly small sample size and lack of racial and ethnic diversity. A larger sample would benefit the investigation by providing the opportunity to compare participants by subtype and analyze comorbidity between symptom clusters. Additionally, individuals with OCD commonly experience more than one symptom dimension (e.g., primary contamination concerns and less frequent or intense unacceptable thoughts), and participants were not classified by their primary symptom dimension in this study. It is also unknown how many participants had more than one symptom presentation. Another limitation is that these findings are based solely on self-report measures of symptom severity. The use of a clinician directed semi-structured interview would lend to diagnostic validity of the sample as well as clarify the symptom dimensions (i.e., make it possible to determine the primary dimension for those with more than one symptom presentation). Unknown comorbid diagnoses and the absence of depression scores are another limitation to the present findings. Depression has been used as a control variable in several studies addressing symptomology (e.g., Manos et al., 2010; Tolin, Worhunsky, Brady, & Maltby, 2007), as it is widely viewed as an aspect of general negative affect that also may lead to more negative cognitions. However, previous findings indicate that depression accounts for limited and disparate variance in the OCD symptom dimensions as measured by the DOCS (Abramowitz et al., 2010) and thus may not have significantly impacted the present findings. In addition to a lack of information about other psychiatric disorders, we did not ask participants to report their medications, which are likely to have an impact on one’s mood state and might also influence the way in which one appraises certain emotional experiences. Finally, the cross-sectional design of the study limits our ability to make causal inferences about the relationships. Future studies that examine threat from emotions over time will help determine whether emotional appraisal is a worthy treatment target. With these considerations in mind, the results from the present study make a unique contribution to the existing literature on the heterogeneity of OCD. A large body of research on obsessional beliefs has informed treatment interventions for OCD, with promising results related to treatment outcome. Ultimately we would like to know how threat from emotions is related to treatment outcome and whether this is an appropriate target for treatment. Based on the findings from this diverse sample of individuals with OCD, it seems that threat from specific emotions is at least worthy of future investigation. Role of funding sources The study was not funded by an external grant. The authors are solely responsible for the study design, collection, analysis and interpretation of the data, writing the manuscript, and the decision to submit the paper for publication. Contributors Authors Smith, Wetterneck, and Hart designed the study. Author Smith conducted the literature searches, provided summaries of previous research, and collected the data. Data collection was conducted primarily at the Houston OCD Program, an institution headed by Author Bjorgvinsson. Authors Smith and Wetterneck conducted the statistical analysis. Author Smith wrote the first draft of the manuscript and all authors contributed to and have approved the final manuscript. Conflict of interest All authors declare that they have no conflicts of interest. A.H. 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