Reducing negative interpretations in adolescents with anxiety disorders: A preliminary study investigating the effects of a single session of cognitive bias modification training

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ABSTRACT

Anxiety disorders are globally prevalent, debilitating and onset in early life. Cognitive bias modification of interpretations (CBM-I) training has emerged as a targeted intervention for early emerging anxiety problems. While CBM-I can alter interpretational styles in unselected and clinical-analogue samples of adolescents, no studies have assessed its capacity to change biases in clinical samples. Here, we assessed training efficacy in ameliorating interpretation biases and anxious mood in adolescents with anxiety disorders. Twenty-eight Chinese adolescents meeting criteria for a current anxiety disorder were randomly assigned to receive positive or neutral CBM-I training. Training involved completing a word-fragment to resolve the outcomes of sixty ambiguous scenarios. During positive training, scenarios ended with benign/positive resolutions, but during neutral training, half of the scenarios were resolved positively and half negatively. Positively trained patients interpreted new ambiguous scenarios less negatively than the neutral training group although training effects were not observed on a questionnaire measure of interpretation bias. Training effects on mood were also absent. Before the clinical implications of CBM-I can be considered in adolescents, research needs to establish optimal training parameters for symptom-changes to occur.

Highlights

▸ Easily accessible interventions for adolescent anxiety disorders are lacking. ▸ CBM-I training is effective in reducing interpretation biases and adult anxiety. ▸ We assessed training efficacy in Chinese adolescents with anxiety disorders. ▸ Modified interpretative styles were found in positively trained patients. ▸ Training-induced changes in interpretation biases and mood were absent.

Keywords

Cognitive bias modification
Adolescence
Anxiety disorders
Interpretation bias

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