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In Cognitive Therapy (CT), therapists work to help patients develop skills to cope with negative affect. Most current methods of assessing patients' skills are cumbersome and impractical for clinical use. To address this issue, we developed and conducted an initial psychometric evaluation of self and therapist reported versions of a new measure of CT skills: the Competencies of Cognitive Therapy Scale (CCTS). We evaluated the CCTS at intake and post-treatment in a sample of 67 patients participating in CT. The CCTS correlated with a preexisting measure of CT skills (the Ways of Responding Questionnaire) and was also related to concurrent depressive symptoms. Across CT, self-reported improvements in CT competencies were associated with greater changes in depressive symptoms. These findings offer initial evidence for the validity of the CCTS. We discuss the CCTS in comparison with other measures of CT skills and suggest future research directions.

Both patients' competence in the coping skills taught in Cognitive Therapy (CT) and patients' endorsement of dysfunctional cognitions following a sad mood induction (i.e., their cognitive reactivity) have been found to predict risk of relapse following a successful course of CT for depression. We examined the relationship between these constructs, specifically whether CT skills would be related to less cognitive reactivity following a mood induction among patients who responded to a course of CT. In a sample of 28 depressed patients, post-treatment CT skills were significantly related to less cognitive reactivity in response to a sad mood induction procedure (β = -.29). This relation was not accounted for by individual differences in mood reactivity. We discuss these findings as a key step in developing a more complete understanding of the role of CT coping skills and cognitive reactivity as markers of patients' vulnerability to relapse.

Thin slice ratings of personality have been shown to predict a number of outcomes, but have yet to be examined in the context of psychotherapy. In a sample of 66 clients participating in cognitive therapy for depression, we examined the predictive utility of thin slice rated pre-treatment client traits. On the basis of short video clip excerpts (i.e., thin slices) of intake assessments, trained observers rated clients on personality characteristics and specific personality disorder (PD) traits. Clients' therapy interest and neuroticism predicted lower odds of dropout. Ratings of extraversion predicted greater symptom change across treatment; ratings of clients' Avoidant and Schizoid PD traits predicted less marked symptom improvement. Ratings of agreeableness and likeability also predicted greater symptom change, but these relations were only significant in one of two analytic approaches used. Evidence for the predictive validity of thin slice ratings was generally stronger than that observed for self-reported PD traits and PD status. Moreover, these self-report and diagnostic assessments failed to account for the thin slice-outcome relations identified. Findings support the clinical utility of quick, thin slice impressions of clients, as these ratings could be used to identify clients with a high risk of dropout or poor treatment outcome., (Copyright © 2013 Elsevier Ltd. All rights reserved.)

Despite long-standing calls for the individualization of treatments for depression, modest progress has been made in this effort. The primary objective of this study was to test two competing approaches to personalizing cognitive-behavioral treatment of depression (viz., capitalization and compensation). Thirty-four adults meeting criteria for Major Depressive Disorder (59% female, 85% Caucasian) were randomized to 16-weeks of cognitive-behavioral treatment in which strategies used were selected based on either the capitalization approach (treatment matched to relative strengths) or the compensation approach (treatment matched to relative deficits). Outcome was assessed with a composite measure of both self-report (i.e., Beck Depression Inventory) and observer-rated (i.e., Hamilton Rating Scale for Depression) depressive symptoms. Hierarchical linear modeling revealed a significant treatment approach by time interaction indicating a faster rate of symptom change for the capitalization approach compared to the compensation approach (d = .69, p = .03). Personalizing treatment to patients' relative strengths led to better outcome than treatment personalized to patients' relative deficits. If replicated, these findings would suggest a significant change in thinking about how therapists might best adapt cognitive-behavioral interventions for depression for particular patients., (Copyright © 2012 Elsevier Ltd. All rights reserved.)

Objective: Previous studies of cognitive therapy (CT) for depression have examined therapist adherence and the therapeutic alliance as predictors of subsequent symptom change. However, little is known about these CT process variables when CT is delivered in combination with antidepressant medication., Method: In a sample of 176 depressed outpatients randomized to the combined condition of a clinical trial, we examined ratings of adherence and alliance as predictors of subsequent session-to-session symptom change across early CT sessions., Results: Both adherence to Behavioral Methods/Homework and the therapeutic alliance significantly predicted session-to-session symptom change. In models in which patients' medication regimen and prior symptom change were covaried, only Behavioral Methods/Homework remained a significant predictor of subsequent symptom change., Conclusions: Our findings highlight the utility of Behavioral Methods/Homework in combined treatment for promoting early session-to-session symptom change., ((PsycINFO Database Record (c) 2012 APA, all rights reserved).)

Objective: In this Phase II trial, we evaluated a novel psychological treatment for depressed patients coping with the stresses of cancer. Effectiveness of a combined biobehavioral intervention (BBI) and cognitive behavior therapy (CBT) was studied., Method: Participants were 36 cancer survivors (mean age = 49 years; 88% Caucasian; 92% female) diagnosed with major depressive disorder. A single group pre-post design was used. Treatment consisted of up to 20 individual 75-min combined BBI/CBT sessions. Outcomes were change in interviewer (Hamilton Rating Scale for Depression; Williams, 1988) and self-rated depressive symptoms (Beck Depression Inventory-Second Edition; Beck, Steer, & Brown, 1996) as well as change in cancer relevant symptoms (Fatigue Symptom Inventory [Hann et al., 1998] and Brief Pain Questionnaire [Daut, Cleeland, & Flanery, 1983]) and quality of life (Medical Outcomes Study Short Form-36; Ware et al., 1995). Mixed-effects modeling, a reliability change index, and generalized linear models were used. All analyses were intent-to-treat., Results: Depressive symptoms significantly improved. In addition, 19 of 21 study completers met criteria for remission. Significant improvements were also noted in fatigue and mental health quality of life. Both concurrent anxiety disorders and high levels of cancer stress (Impact of Events Scale; Horowitz, Wilner, & Alvarez, 1979) were each associated with beginning and concluding treatment with greater depressive symptoms., Conclusions: CBT components were successfully incorporated into a previously efficacious intervention for reducing cancer stress. The BBI/CBT intervention warrants further research in evaluating its efficacy compared with well-established treatments for depression., ((c) 2011 APA, all rights reserved.)

Objective: The efficacy of cognitive therapy (CT) for depression has been well established. Measures of the adequacy of therapists' delivery of treatment are critical to facilitating therapist training and treatment dissemination. While some studies have shown an association between CT competence and outcome, researchers have yet to address whether competence ratings predict subsequent outcomes., Method: In a sample of 60 moderately to severely depressed outpatients from a clinical trial, we examined competence ratings (using the Cognitive Therapy Scale) as a predictor of subsequent symptom change., Results: Competence ratings predicted session-to-session symptom change early in treatment. In analyses focused on prediction of symptom change following 4 early sessions through the end of 16 weeks of treatment, competence was shown to be a significant predictor of evaluator-rated end-of-treatment depressive symptom severity and was predictive of self-reported symptom severity at the level of a nonsignificant trend. To investigate whether competence is more important to clients with specific complicating features, we examined 4 patient characteristics as potential moderators of the competence-outcome relation. Competence was more highly related to subsequent outcome for patients with higher anxiety, an earlier age of onset, and (at a trend level) patients with a chronic form of depression (chronic depression or dysthymia) than for those patients without these characteristics. Competence ratings were not more predictive of subsequent outcomes among patients who met (vs. those who did not meet) criteria for a personality disorder (i.e., among personality disorders represented in the clinical trial)., Conclusions: These findings provide support for the potential utility of CT competence ratings in applied settings.

The present research examines the accessibility of one's self-esteem as a predictor of the "strength" (durability and impactfulness) of that self-esteem. Based on attitude accessibility research, the authors predicted that accessibility of self-esteem (i.e., a self-attitude) would be positively related to self-esteem's ability to resist change and guide information processing. In Study 1, accessibility of self-esteem was positively related to resistance to change in a paradigm where participants listed either positive or negative self-attributes. Self-esteem was also associated with biases in judgments of ambiguous personality feedback (Study 2) and in explanatory style and future event predictions (Study 3), but did so to a greater extent as self-esteem accessibility increased. In addition, these patterns were obtained after controlling for other variables, including general reaction time, evaluative extremity, self-concept clarity, and self-esteem certainty. Results are discussed in relation to past literature, self-strength, and applied implications.

While a wealth of research has found that depressive symptoms are related to current attitudes, new evidence suggests depressive symptoms may be related to a fundamental deficit in forming new attitudes. Researchers investigating individual differences in attitude formation have found that depressive symptoms are strongly correlated with poorer learning of positive stimuli. This study extended these findings to a sample including clinically depressed participants. Results show that, as compared to nondepressed individuals, depressed individuals are characterized by a large deficit in their learning of positive stimuli. Implications of this fundamental deficit are discussed.

Cognitive therapy for depression is based on an assumption that depressed individuals have inaccurate, negative biases. Whether this assumption is accurate remains unresolved. Thus, this study sought to examine the relationship between depressive symptoms and bias in three sets of predictions (i.e., predictions of future life events, how one would be rated by a significant other, and performance on a vocabulary test). Following study announcements made to a subset of people pre-screened for depressive symptoms, 85 participants with widely varying depressive symptoms (17 of whom met diagnostic criteria for depression) made predictions on three judgment tasks and the outcomes for these tasks were assessed. Optimistic/pessimistic biases were related to depressive symptoms for each of the three tasks. Participants with high levels of depressive symptoms and depressed participants exhibited substantial pessimistic bias. Those high in depressive symptoms exhibited significant pessimistic bias on all three tasks. Participants meeting diagnostic criteria for depression exhibited pessimistic bias on two of three tasks. There was no evidence that depressive symptoms were associated with greater accuracy in judgments. Results are largely consistent with cognitive models of depression which postulate that depression is associated with pessimistic biases.

Cognitive therapy (CT) for depression is designed to teach patients material that is believed to help prevent relapse following successful treatment. This study of 35 moderately to severely depressed patients who responded to CT provides the 1st evidence to suggest that both development and independent use of these competencies predict reduced risk for relapse. Among patients who responded to treatment, both CT coping skills and in-session evidence of the independent implementation of CT material predicted lower risk for relapse in the year following treatment. These relationships were not accounted for by either symptom severity at the end of treatment or symptom change from pre- to posttreatment. Self-esteem, assessed at posttreatment, failed to predict risk for relapse in the year following treatment. Thus, CT coping skills and independent use of CT principles, but not overall satisfaction with oneself, appear to play an important role in relapse prevention.