Effectiveness of Mobile-Based Digital Cognitive Behavioral Therapy for Late-Life Depression: A Randomized Controlled Trial in Older Adults
摘要
Late-life depression (LLD) presents a global health concern, particularly in low-resource settings. This study evaluated the effectiveness of an 8-week mobile-based digital Cognitive Behavioral Therapy (dCBT) program versus a digital Supportive Intervention (SUI) among Iranian older adults with mild to severe depressive symptoms.
MethodsA randomized controlled trial was conducted with 72 community-dwelling older adults (≥ 60 years) with Geriatric Depression Scale (GDS) scores ≥ 10. Participants were randomly assigned to dCBT or SUI, both delivered via a user-friendly mobile application with weekly remote support. Primary outcome was change in depressive symptoms (GDS). Secondary outcomes included anxiety (Beck Anxiety Inventory), sleep quality (Pittsburgh Sleep Quality Index), quality of life (WHOQOL-BREF), and cognitive function (MoCA), assessed at baseline, post-treatment, and 3- and 6-month follow-ups.
ResultsThe dCBT group showed significantly greater reductions in depressive symptoms at post-treatment (Cohen’s d = 1.01, p < .001) with sustained improvements at 3- and 6-month follow-ups. Improvements were also observed in anxiety, sleep quality, and quality of life (all p < .01), while cognitive outcomes did not differ between groups.
ConclusionsMobile-based dCBT is an effective and culturally adaptable intervention for LLD in older adults in underserved settings. Its scalability and sustained benefits support its integration into community mental health services.