Parent-coached exposure therapy versus cognitive behavior therapy for childhood anxiety disorders.

Cognitive-behavioral therapy (CBT) is the strongest evidenced-based therapy for childhood anxiety disorders (CADs). However, CBT's impact is limited by its lack of clear superiority over treatment as usual, excessive length, and greater than 50% of patients remaining symptomatic. Parent-coached exposure therapy (PCET) is designed to treat CADs more effectively and efficiently through a focus on exposure and working with parents and youth together. In a randomized controlled trial, 78 patients (78% female) aged 7 to 17 with CADs were assigned to PCET or the gold-standard CBT. The primary outcome was independent evaluator ratings of anxiety severity at mid- and post-treatment. Secondary outcomes were parent- and child-reported symptoms. Patients receiving PCET had significantly lower mean scores than those receiving CBT on the primary outcome measure at mid-treatment (3.03 ± 0.14, 95% CI, 2.75-3.32 vs. 3.77 ± 0.16 95% CI, 3.45-4.08, p = 0.0010) and post-treatment (2.79 ± 0.14, 95% CI, 2.50-3.07 vs. 3.33 ± 0.16, 95% CI, 2.02-3.64, p = 0.0153). Similar significant results were found with the secondary parent- and child-reported outcomes. These superior results were achieved in PCET with fewer sessions (6.62, SD = 2.8) than those in CBT (8.00, SD = 3.1), p = 0.041. The superior effectiveness and efficiency of PCET likely results from the greater focus on implementing exposure exercises compared to traditional CBT.

Discriminative Validity of the Dimensional Obsessive-Compulsive Scale for Separating Obsessive-Compulsive Disorder From Anxiety Disorders.

Objective: We investigated the diagnostic efficiency and clinical utility of the Dimensional Obsessive-Compulsive Scale (DOCS) and subscales for distinguishing obsessive-compulsive disorder (OCD) from anxiety disorders (ADs). Method: A total of 369 participants (167 male, Mage = 29.61 years) diagnosed with DSM-IV OCD or AD, recruited from specialty clinics across the United States, completed clinical interviews and self-report questionnaires, including the DOCS. Receiver operating characteristic analyses and diagnostic likelihood ratios (DiLRs) determined discriminative validity and provided clinical utility. Logistic regressions tested for incremental validity in the DOCS-total scale and subscales in predicting OCD status. Results: The DOCS-total scale and Contamination subscale performed best in differentiating between OCD and AD diagnosis (DOCS-total: Area under curve [AUC] = .75, p < .001; Contamination: AUC = .70, p < .001) as compared with the other subscales. At high scores (DOCS-total: 28+, Contamination: 6+), Contamination was more effective than the DOCS-total in differentiating OCD from ADs, with high scores in Contamination quadrupling OCD odds and DOCS-total by about threefold (Contamination DiLR+ = 4.04, DOCS-total DiLR+ = 2.82). At low scores (DOCS-total: 0-9, Contamination: 0-2), the converse was true, with low scores in Contamination cutting OCD odds by half and DOCS-total by one fifths (Contamination DiLR- = 0.52, DOCS-total DiLR- = 0.23). Conclusion: At high scores, the Contamination subscale is the most helpful subscale to differentiate OCD and ADs. For low scores, the DOCS-total scale performs the best among the scales.

Comparing the CASI-4R and the PGBI-10 M for Differentiating Bipolar Spectrum Disorders from Other Outpatient Diagnoses in Youth.

We compared 2 rating scales with different manic symptom items on diagnostic accuracy for detecting pediatric bipolar spectrum disorder (BPSDs) in outpatient mental health clinics. Participants were 681 parents/guardians of eligible children (465 male, mean age = 9.34) who completed the Parent General Behavior Inventory-10-item Mania (PGBI-10 M) and mania subscale of the Child and Adolescent Symptom Inventory-Revised (CASI-4R). Diagnoses were based on KSADS interviews with parent and youth. Receiver operating characteristic (ROC) analyses and diagnostic likelihood ratios (DLRs) determined discriminative validity and provided clinical utility, respectively. Logistic regressions tested for incremental validity in the CASI-4R mania subscale and PGBI-10 M in predicting youth BPSD status above and beyond demographic and common diagnostic comorbidities. Both CASI-4R and PGBI-10 M scales significantly distinguished BPSD (N = 160) from other disorders (CASI-4R: Area under curve (AUC) = .80, p < 0.0005; PGBI-10 M: AUC = 0.79, p < 0.0005) even though scale items differed. Both scales performed equally well in differentiating BPSDs (Venkatraman test p > 0.05). Diagnostic likelihood ratios indicated low scores on either scale (CASI: 0-5; PGBI-10 M: 0-6) cut BPSD odds to 1/5 of those with high scores (CASI DLR- = 0.17; PGBI-10 M DLR- = 0.18). High scores on either scale (CASI: 14+; PGBI-10 M: 20+) increased BPSD odds about fourfold (CASI DLR+ = 4.53; PGBI-10 M DLR+ = 3.97). Logistic regressions indicated the CASI-4R mania subscale and PGBI-10 M each provided incremental validity in predicting youth BPSD status. The CASI-4R is at least as valid as the PGBI-10 M to help identify BPSDs, and can be considered as part of an assessment battery to screen for pediatric BPSDs.

Associations between sleep disturbance, cognitive functioning and work disability in Bipolar Disorder.

Bipolar Disorder (BD) is associated with impairment in a number of areas including poor work functioning, often despite the remission of mood symptoms. The present study aimed to examine the role of sleep disturbance and cognitive functioning in occupational impairment in BD. Twenty-four euthymic BD participants and 24 healthy control participants completed a week of prospective assessment of sleep disruption via self-report and actigraphy, a battery of neuropsychological tests of executive functioning, working memory, and verbal learning, and assessments of work functioning. BD participants experienced significantly poorer cognitive functioning as well as greater months of unemployment and greater incidence of being fired than controls. Moderation analyses revealed that both poor sleep and cognitive functioning were associated with poor work performance in BD participants, but not control participants. Sleep and cognitive functioning may be impaired in euthymic BD and are associated with poor work functioning in this population. More research should be conducted to better understand how sleep and cognitive functioning may interact in BD.

Extreme cognitions in bipolar spectrum disorders: associations with personality disorder characteristics and risk for episode recurrence.

Bipolar spectrum disorders (BSDs) are often characterized by cognitive inflexibility and affective extremities, including "extreme" or polarized thoughts and beliefs, which have been shown to predict a more severe course of illness. However, little research has evaluated factors that may be associated with extreme cognitions, such as personality disorders, which are often characterized by extreme, inflexible beliefs and are also associated with poor illness course in BSDs. The present study evaluated associations among BSDs, personality disorder characteristics, and extreme cognitions (polarized responses made on measures of attributional style and dysfunctional attitudes), as well as links between extreme cognitions and the occurrence of mood episodes, among euthymic young adults with BSDs (n=83) and demographically matched healthy controls (n=89) followed prospectively for 3years. The relationship between personality disorder characteristics and negative and positive extreme cognitions was stronger among BSD participants than among healthy controls, even after statistically accounting for general cognitive styles. Furthermore, extreme negative cognitions predicted the prospective onset of major depressive and hypomanic episodes. These results suggest that extreme cognitive styles are most common in individuals with BSDs and personality disorder characteristics, and they provide further evidence that extreme negative cognitions may confer risk for mood dysregulation.

The interaction of affective states and cognitive vulnerabilities in the prediction of non-suicidal self-injury.

Non-suicidal self-injury (NSSI) is a serious public health concern and remains poorly understood. This study sought to identify both cognitive and affective vulnerabilities to NSSI and examine their interaction in the prediction of NSSI. A series of regressions indicated that low levels of positive affect (PA) moderated the relationships between self-criticism and brooding and NSSI. The associations of self-criticism and brooding with greater frequency of NSSI were attenuated by higher levels of PA. The interaction of cognitive and affective vulnerabilities is discussed within the context of current NSSI theory.