Changes in positive and negative affect in psychotherapy for depression and anxiety.

OBJECTIVE: Positive and negative affect play critical roles in depression and anxiety treatment, but the dynamic processes of how affect changes over treatment in relation to changes in symptoms is unclear. The study goal was to examine relationships among changes in positive and negative affect with changes in depression and anxiety symptoms. METHOD: This secondary analysis used a combined sample (N = 196) of two trials (Craske et al., 2019, 2023) comparing positive affect treatment (PAT) to negative affect treatment. Longitudinal cross-lag panel models explored whether changes in positive and negative affect (Positive and Negative Affect Schedule; Watson et al., 1988) predicted subsequent changes in depression and anxiety symptoms (Depression Anxiety Stress Scales; Lovibond & Lovibond, 1995), whether symptoms predicted subsequent changes in affect, and whether treatment condition moderated these relationships. RESULTS: Increases in positive affect predicted subsequent decreases in depression and anxiety symptoms, regardless of treatment condition. Symptoms did not reciprocally predict changes in positive affect. For individuals in PAT, decreases in negative affect predicted subsequent decreases in symptoms. Moreover, decreases in symptoms predicted subsequent decreases in negative affect, regardless of treatment condition. CONCLUSIONS: Results did not support a reciprocal relationship between positive affect and symptoms of depression and anxiety since positive affect predicted depression and anxiety symptoms but not vice versa. Results supported a reciprocal relationship between negative affect and symptoms of depression and anxiety since negative affect predicted depression and anxiety symptoms in PAT, and depression and anxiety symptoms predicted negative affect in both treatment conditions. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Measuring the active elements of cognitive-behavioral therapies.

Understanding how and for whom cognitive-behavioral therapies work is central to the development and improvement of mental health interventions. Suboptimal quantification of the active elements of cognitive-behavioral therapies has hampered progress in elucidating mechanisms of change. To advance process research on cognitive-behavioral therapies, we describe a theoretical measurement framework that focuses on the delivery, receipt, and application of the active elements of these interventions. We then provide recommendations for measuring the active elements of cognitive-behavioral therapies aligned with this framework. Finally, to support measurement harmonization and improve study comparability, we propose the development of a publicly available repository of assessment tools: the Active Elements of Cognitive-Behavioral Therapies Measurement Kit.