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March 6, 2026BMJ Mental Health0 citationsOpen Access

Effects of smartphone cognitive behavioural therapy on social functioning in non-depressive and subthreshold depressive adults: a secondary analysis of the RESiLIENT trial

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ATAran TajikaRTRie ToyomotoMSMasatsugu Sakata

Key Points

  • This study evaluates the impact of smartphone-based cognitive behavioural therapy on social functioning in adults with subthreshold depression.
  • Secondary analysis of the RESiLIENT trial involving 5361 participants.
  • Participants were sorted by baseline PHQ-9 scores and assigned to CBT app groups or a self-check group.
  • Social functioning and health records were measured as outcomes using a mixed-effects model.
  • Depressive symptoms improved in both PHQ-9 groups compared to the self-check group.
  • Modest gains in social functioning were mainly seen in individuals with PHQ-9 scores ≤4.
  • No consistent benefits were noted for health behaviours, job resignation, sick leave, or healthcare costs.
  • The POT algorithm suggested potential improvement in productivity and social adjustment based on simulated comparisons.

Abstract

Background Depression is a leading cause of global disability, and subthreshold cases contribute substantially to the burden. Cognitive behavioural therapy (CBT) is effective for depressive symptoms, but its impact on social functioning in subthreshold depression remains unclear. Objective This study evaluated the effects of smartphone-based CBT on social functioning and personal health records among individuals with subthreshold depression and examined whether a personalised and optimised therapy (POT) algorithm enhanced these outcomes. Methods We performed a secondary analysis of the RESiLIENT trial (n=5361). Participants were stratified by baseline Patient Health Questionnaire-9 (PHQ-9) scores (0–4 and 5–14) and randomised to nine CBT app groups or a self-check group. Outcomes included social functioning and health records. A mixed-effects model for repeated measures was used to analyse the outcomes. The POT algorithm selected CBT skills tailored to individual characteristics. Findings Depressive symptoms improved in both PHQ-9 groups compared with those of the self-check group, but gains in social functioning were modest, observed mainly in the PHQ-9 score ≤4 group. No consistent benefits were seen for health behaviours, job resignation, sick leave or healthcare costs. However, in a simulated randomised comparison using 10-fold cross-validated datasets, the POT algorithm had potentially beneficial effects for productivity (standardised mean difference (SMD)=0.16, 95% CI 0.03 to 0.29) and social adjustment (SMD=−0.13, 95% CI −0.26 to 0.00). Conclusions Smartphone CBT effectively reduced depressive symptoms but showed limited impact on social functioning and healthcare costs. Personalised optimisation may modestly improve productivity and adjustment, suggesting its promise for enhancing social outcomes. Clinical implications Personalised tailoring of CBT skills may strengthen the effects of digital interventions on social functioning. Trial registration number UMIN000047124.

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Cite This Study

Tajika et al. (2026) studied this question.

synapsesocial.com/papers/69aa70e7531e4c4a9ff5b1edhttps://doi.org/10.1136/bmjment-2025-302303
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