Imagine the bright side of life: A randomized controlled trial of two types of interpretation bias modification procedure targeting adolescent anxiety and depression

Open Access
Authors
Publication date 17-07-2017
Journal PLoS ONE
Article number e0181147
Volume | Issue number 12 | 7
Number of pages 24
Organisations
  • Faculty of Social and Behavioural Sciences (FMG) - Psychology Research Institute (PsyRes)
Abstract

INTRODUCTION: Anxiety and depression are highly prevalent during adolescence and characterized by negative interpretation biases. Cognitive bias modification of interpretations (CBM-I) may reduce such biases and improve emotional functioning. However, as findings have been mixed and the traditional scenario training is experienced as relatively boring, a picture-based type of training might be more engaging and effective.

METHODS: The current study investigated short- and long-term effects (up to 6 months) and users' experience of two types of CBM-I procedure in adolescents with heightened symptoms of anxiety or depression (N = 119, aged 12-18 year). Participants were randomized to eight online sessions of text-based scenario training, picture-word imagery training, or neutral control training.

RESULTS: No significant group differences were observed on primary or secondary emotional outcomes. A decrease in anxiety and depressive symptoms, and improvements in emotional resilience were observed, irrespective of condition. Scenario training marginally reduced negative interpretation bias on a closely matched assessment task, while no such effects were found on a different task, nor for the picture-word or control group. Subjective evaluations of all training paradigms were relatively negative and the imagery component appeared particularly difficult for adolescents with higher symptom levels.

CONCLUSIONS: The current results question the preventive efficacy and feasibility of both CBM-I procedures as implemented here in adolescents.

Document type Article
Note With supporting information
Language English
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