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).

A Novel and Integrated Digitally Supported System of Care for Depression and Anxiety: Findings From an Open Trial.

BACKGROUND: The global burden of anxiety and depression has created an urgent need for scalable approaches to increase access to evidence-based mental health care. The Screening and Treatment for Anxiety and Depression (STAND) system of care was developed to meet this need through the use of internet-connected devices for assessment and provision of treatment. STAND triages to level of care (monitoring only, digital therapy with coaches, digital therapy assisted by clinicians in training, and clinical care) and then continuously monitors symptoms to adapt level of care. Triaging and adaptation are based on symptom severity and suicide risk scores obtained from computerized adaptive testing administered remotely. OBJECTIVE: This article discusses how the STAND system of care improves upon current clinical paradigms, and presents preliminary data on feasibility, acceptability, and effectiveness of STAND in a sample of US-based university students. METHODS: US-based university students were recruited and enrolled in an open trial of the STAND system of care. Participants were triaged based on initial symptom severity derived from a computerized adaptive test and monitored over 40 weeks on anxiety, depression, and suicide risk to inform treatment adaptation and evaluate preliminary effectiveness. RESULTS: Nearly 5000 students were screened and 516 received care. Depression and anxiety severity scores improved across all tiers (P<.001 in all cases). Suicide risk severity improved in the highest tier (ie, clinical care; P<.001). Acceptability and feasibility were demonstrated. CONCLUSIONS: STAND is a feasible and acceptable model of care that can reach large numbers of individuals. STAND showed preliminary effectiveness on all primary outcome measures. Current directions to improve STAND are described.

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.

Avoidance Moderates Cognitive Behavioral Therapy for Panic Disorder and Agoraphobia.

Cognitive behavioral therapy (CBT), a well-validated treatment for panic disorder, includes interoceptive exposures and possibly in vivo exposures to agoraphobic situations. Testing predictors and moderators of CBT outcomes can improve treatment efficacy. Sixty-six individuals with panic disorder with or without agoraphobia were randomized to panic control therapy (PCT) (n = 32) or PCT and in vivo exposures to agoraphobic situations (PCT + IV) (n = 34). Secondary analyses using multilevel models with repeated measures design revealed that individuals who displayed more interoceptive avoidance and agoraphobic avoidance fared better after PCT than PCT + IV compared with individuals who displayed less avoidance. Results suggest that these individuals benefit from concentrated doses of exposures to their primary interoceptive concerns instead of additional exposures to agoraphobic situations. Exploratory analyses were also conducted on fear, demographic factors, and clinical characteristics. Findings inform clinical decision-making and personalized medicine. Limitations include low power for detecting small effect sizes.

Virtual Reality Reward Training for Anhedonia: A Pilot Study.

Anhedonia is a risk factor for suicide and poor treatment response in depressed individuals. Most evidence-based psychological therapies target symptoms of heightened negative affect (e.g., negative inferential style) instead of deficits in positive affect (e.g., attenuated reward response) and typically show little benefit for anhedonia. Viewing positive scenes through virtual reality (VR) has been shown to increase positive affect and holds great promise for addressing anhedonic symptoms. In this pilot study, six participants with clinically significant depression completed 13 sessions of exposure to positive scenes in a controlled VR environment. Significant decreases were found in self-reported anhedonia, depression, anxiety, and impairments in functioning from baseline to 1-month follow-up. Negative affect decreased over all 13 sessions, and positive affect increased over sessions 8-13. Results suggest that positive experiences in VR may be a novel avenue for the treatment of anhedonia in depressed individuals.