Efficacy of a smartphone-based Cognitive Bias Modification program for emotion regulation: A randomized-controlled crossover trial.
Internet Interv
; 35: 100719, 2024 Mar.
Article
in En
| MEDLINE
| ID: mdl-38370286
ABSTRACT
Previous research has identified maladaptive emotion regulation as a key factor in psychopathology. Thus, addressing emotion regulation via scalable, low-threshold digital interventions - such as smartphone-based Cognitive Bias Modification (CBM) - holds important therapeutic potential. Using a randomized-controlled crossover trial, we tested the efficacy of an integrated CBM module within the Affect Regulation Training (ART, i.e., CBM-ART) that targeted emotion regulation through elements of appraisal-based and approach avoidance training. Undergraduate students reporting elevated stress were randomized to a one-week active intervention (Mindgames; including psychoeducation, a quiz, and CBM-ART; n = 40), active control training (Emo Shape; including placebo psychoeducation, a quiz, and a placebo swiping task; n = 36) or waitlist (n = 25). Before and after the intervention, we assessed emotion regulation, interpretation bias, stress and depression. We further tested post-training stress reactivity using an anagram task. Results indicated that the active intervention improved negative (OR = 0.35) and positive (OR = 2.40) interpretation biases and symptom measures (d = 0.52-0.87). However, active control training showed attenuated concurrent pre-post changes on interpretation biases (i.e., OR = 0.53 for negative, and OR = 1.49 for positive interpretations) and symptom measures (d = 0.26-0.91). The active intervention was rated positively in terms of acceptability and usability. These findings provide initial evidence for the efficacy and acceptability of an integrated app-based CBM intervention for emotion regulation in reducing interpretation biases and psychopathological symptoms, including stress. However, future studies should disentangle specific mechanisms underlying interventional effects.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Language:
En
Journal:
Internet Interv
Year:
2024
Document type:
Article
Affiliation country:
Alemania
Country of publication:
Países Bajos