Work

Patients’ symptoms and strengths as predictors of long-term outcomes of CBT for generalized anxiety disorder – A three-level, multi-predictor analysis

Year: 2022

Type: article

Abstract: Although cognitive behavioral therapy (CBT) is an effective treatment for generalized anxiety disorder (GAD), GAD often shows a chronic clinical course and common deterioration after treatment. Many trials have examined the efficacy of treatments in GAD, but little is known about intake predictors of long-term treatment outcomes. This study examined potential predictors of long-term treatment outcomes based on the individual's symptom severity and strengths (behavioral, cognitive, interpersonal) at intake. Long-term outcomes were defined as worry at six-month follow-up (six-m FU) and worry decrease from intake and post-treatment to six-m FU. Data from 137 CBT outpatients with a GAD diagnosis from two randomized clinical trials were analyzed using three-level hierarchical linear modeling. Results revealed that worrying decreased up to the six-m FU. In single-predictor models, intake symptom severity and strength measures predicted worry at the six-m FU. In multi-predictor models, only behavioral strengths remained a significant predictor. Worry decrease from intake to the six-m FU was only predicted by behavioral strengths. These findings provide relevant information about intake predictors of long-term outcomes after CBT for GAD and underscore the potential relevance of assessing patients' strengths for clinical practice.

Source: Journal of Anxiety Disorders

DOI: 10.1016/j.janxdis.2022.102635

Authors: Greta Probst, Andreea Vîslă, Christoph Flückiger

Institutions: University of Kassel, University of Zurich

Language: English

Topic: Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Subfield: Experimental and Cognitive Psychology

Field: Psychology

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: hybrid

Estimated APC paid: $3,570