Work

Heterogeneity of Symptomatology in Socially Anxious Adolescents: Are Case Conceptualizations Based on Perceived Causal Networks (PECAN) Able to Capture Personalized Symptoms and their Relations?

Year: 2025

Type: article

Abstract: Purpose Social anxiety disorder (SAD) is a prevalent and challenging mental disorder in children and adolescents, with traditional cognitive models often failing to account for its heterogeneity. This study explores personalized symptom networks based on individuals’ perception as an alternative approach. Methods Ninety socially anxious individuals (10–21 years, M = 16.48, SD = 5.14) created personalized symptom networks using the adapted Perceived Causal Network method for children and adolescents (PECAN-CA). Participants identified their symptoms, rated severity, and mapped causal relations. After four weeks, they evaluated their personalized symptom network against a randomized network (same symptoms, randomized relations) and a common disorder model (Clark and Wells, in: Heimberg, Liebowitz, Hope, Schneier (Eds) Social phobia: diagnosis, assessment, and treatment The Guilford Press, New York, 1995) to assess representativeness. Results Participants generated highly individualized networks, highlighting significant variability in symptoms and their relationships. The most reported symptoms were physiological arousal (90%), stuttering (71%), and fear of evaluation (69%). Fear of evaluation (6.53/10) and avoidance behavior (6.43) were rated most severe. Physiological arousal showed the highest perceived causal input, while fear of evaluation had the highest output. Participants rated their personalized symptom network (M = 7.23, SD = 2.15) as most representative, followed by randomized networks (M = 6.08, SD = 2.05) and the common model (M = 4.32, SD = 2.18; A > B > C, p < .001). Conclusions Findings highlight substantial heterogeneity in SAD symptoms and causal relations, suggesting that common disorder models fail to capture individual differences. PECAN-based case concepts offer a promising approach to personalized treatment.

Source: Cognitive Therapy and Research

DOI: 10.1007/s10608-025-10650-w

Authors: Felix Vogel, Alice Delvert, Sophie Rupp, Julian Reichert

Institutions: Universität Hamburg, Justus-Liebig-Universität Gießen, University Hospital Heidelberg, University Medical Center of the Johannes Gutenberg University Mainz

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: $4,090