The Association of Obsessive-Compulsive Disorder, Anxiety Disorders, and Posttraumatic Stress Disorder with Impairment Related to Eating Pathology.

Prior work has shown a number of similarities between obsessive-compulsive disorder (OCD) and eating disorders such as perfectionism and depressive symptoms. However, distress and impairment due to eating pathology are also highly comorbid with other disorders, which brings into question whether the relationship with eating pathology is unique to OCD. The aims of the current study were 1) to test perfectionism and depression as mediators of the relationship between OCD and eating pathology, and 2) to determine whether OCD is related to greater distress/impairment regarding eating habits, exercising, or feelings about eating, shape, or weight above and beyond other disorders. Symptoms were assessed in 329 treatment-seeking patients in a secondary analysis of a clinical battery. The results showed that depressive symptoms and perfectionism were found to mediate the relationship between OCD and eating pathology. Additionally, a regression analysis showed that OCD, social anxiety disorder, and panic disorder symptoms were associated with eating pathology to a greater extent than other disorders. These results suggest that distress and impairment related to eating habits, exercising, or feelings about eating, shape, or weight are not unique to OCD and that depression and perfectionism may, in part, explain the association between OCD and eating pathology.

Identifying risk factors for suicidal ideation across a large community healthcare system.

BACKGROUND: Suicide is the tenth leading cause of death in the United States. Several studies have leveraged electronic health record (EHR) data to predict suicide risk in veteran and military samples; however, few studies have investigated suicide risk factors in a large-scale community health population. METHODS: Clinical data was queried for 9,811 patients from the Penn Medicine Health System who had completed a Patient Health Questionnaire-9 (PHQ-9) documented in the EHR between January 2017 and June 2019. Patient demographics, PHQ-9 scores, and psychiatric comorbidities were extracted from the EHR. Univariate and multivariable logistic regressions were applied to determine significant risk factors associated with suicide ideation responses from the PHQ-9. RESULTS: One-quarter (25.8%% of patients endorsed suicide ideation. Univariate analysis found 22 risk factors of suicide ideation. Multivariable logistic regression found significant positive associations (Odds Ratio, (95% Confidence Interval)) with the following: younger ages less than 18 years: 2.1, (1.69, 2.60) and 19-24 years: 1.55, (1.29, 1.87)), single marital status (1.22, (1.08, 1.38)), African American (1.22, (1.08, 1.38)), non-commercial insurance (1.16, (1.03, 1.31)), multiple comorbidities (1 comorbidity (1.65, (1.32, 2.07); 2 comorbidities (2.07, (1.61, 2.64)), 3+ comorbidities (2.49, (1.87, 3.33))), bipolar disorders (Type I: 1.38, (1.14, 1.67) and Type II: 1.94, (1.52, 2.49)), depressive disorders (1.70, (1.49, 1.94)), obsessive compulsive disorder (OCD) (1.43, (1.08, 1.90)), and stress disorders (1.53, (1.33, 1.76)). CONCLUSION: Community EHR information can be used to predict suicidal ideation. This information can be used to design tools for identifying patients at risk for suicide in real-time.

Pretreatment levels of rumination predict cognitive-behavioral therapy outcomes in a transdiagnostic sample of adults with anxiety-related disorders.

Increasing research has implicated rumination in the development and maintenance of many types of psychopathology, including anxiety-related disorders. A few studies have explored the impact of rumination during cognitive-behavioral therapy (CBT) for anxiety-related disorders (which relies heavily on exposure-based interventions), with mixed results. The present study assessed levels of (trait) rumination before starting treatment for predicting outcomes in 147 adults seeking CBT for anxiety-related disorders in an open treatment clinic. Results revealed that pretreatment levels of rumination significantly predicted (lower) quality of life at the end of treatment, after accounting for baseline variance in quality of life. This finding remained robust when also accounting for demographics, depression, general anxiety, and diagnosis. This result was not observed for self-reflection (a construct related to, but distinguishable from, rumination). Nevertheless, a follow-up (receiver-operator characteristic) analysis showed that pretreatment rumination did not reliably distinguish participants who showed clinically meaningful gains in quality of life during treatment from those who did not. Theoretical and clinical implications of these findings are discussed. We propose that rumination may impede emotional processing during CBT for anxiety, and warrants further attention and treatment. However, more advanced methods (e.g., multivariate modeling) are needed to improve the prognostic utility of rumination.

Trauma-related cognitions predict treatment response in smokers with PTSD: Evidence from cross-lagged panel analyses.

OBJECTIVE: Compared to smokers without posttraumatic stress disorders (PTSD), smokers with PTSD smoke more heavily and are less successful in quitting smoking. However, limited research has examined the cognitive pathways underlying this heightened comorbidity. The current study is the first to simultaneously model the cross-sectional and lagged relationships between trauma-related cognitions and cigarette smoking, as well as between trauma-related cognitions and PTSD severity, in smokers with comorbid PTSD receiving treatment. METHOD: Participants (n = 142) were seeking treatment for smoking cessation and PTSD as part of a randomized controlled trial of varenicline and smoking cessation counseling with or without adjunctive Prolonged Exposure (varenicline + PE vs. varenicline only) (Foa et al., 2017). Data were available for both baseline and end-of-treatment assessments of trauma cognitions severity of cigarette smoking and PTSD symptoms. We conducted both cross-sectional and lagged analysis to simultaneously examine the bidirectional relationship from trauma cognitions and 1) cigarette smoking and 2) PTSD symptoms. RESULTS: Trauma cognitions (specifically, negative beliefs about the self and the world) were significantly associated with cigarette/day at the end of treatment for participants who received varenicline only. However, baseline trauma cognitions did not predict post-treatment cigarettes/day. Baseline trauma cognitions (specifically negative beliefs about the self and world) were associated with PTSD severity at both baseline and end of treatment; furthermore, these negative cognitions at baseline positively and prospectively predicted end-of-treatment PTSD severity, but not vice versa. Wald tests revealed that there were no treatment effects on these cross-lagged relationships. Conclusions These findings provide novel empirical support for the importance of addressing trauma-related cognitions in the smoking cessation treatment efforts for patients with comorbid PTSD and cigarette smoking.