Evidence map›Paper›PMID 41301298›Full record

ArticleBehavioral sciences (Basel, Switzerland)2025

Validation of the Effectiveness of a Behavioral Activation-Based Digital App for Treatment of Depressive Symptoms: A Randomized Controlled Trial.

Yongjoon So, Jaeeun Shin, Sung-Doo Won, Wooyoung Im, Kwang-Ho Seok, Min Jin Jin, Seung Ho Lee, Sung-Man Bae

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Yongjoon SoDepartment of Psychology, Chung-Ang University, Seoul 06974, Republic of Korea.ORCID 0009-0001-2494-1310
Jaeeun ShinDepartment of Psychology, Chung-Ang University, Seoul 06974, Republic of Korea.
Sung-Doo WonDepartment of Psychology, Daegu Catholic University, Daegu 42472, Republic of Korea.
Wooyoung ImDepartment of Psychiatry, Konyang University Hospital, College of Medicine, Konyang University, Daejeon 35365, Republic of Korea.
Kwang-Ho SeokSchool of AI Convergence, Global Cyber University, Cheonan 31228, Republic of Korea.ORCID 0000-0003-0677-1626
Min Jin JinDivision of Liberal Arts, Kongju National University, Gongju 32588, Republic of Korea.ORCID 0000-0001-5494-5702
Seung Ho LeePsychotherapy Institute for Trauma & Attachment, Asan-si 31465, Republic of Korea.
Sung-Man BaeDepartment of Psychology, Graduate School, Dankook University, Cheonan 31116, Republic of Korea.ORCID 0000-0001-5762-4306

Funding

the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea grant NRF-2022S1A5A2A03050428
6 · The paper itself

Abstract

Our research investigated how a smartphone application utilizing behavioral activation principles affects depression levels in young adult populations. A total of 67 participants aged 20-30 years with clinically significant depressive symptoms (CESD-11 ≥ 16) were divided into treatment (n = 31) and comparison conditions (n = 36) through randomization procedures. Participants in the experimental group engaged with a BA-based mobile application (Maummove) over an eight-week period, while those in the control group completed weekly assessments without intervention. Depression, perceived stress, and life satisfaction were measured at baseline and postintervention using the CESD-11, PSS, and SWLS, respectively. The results indicated that the experimental group exhibited significant reductions in depression (Cohen's d = 1.03) and stress (Cohen's d = 0.99) compared to the control group, which showed minimal changes. Improvements in life satisfaction were observed in the experimental group, with a smaller effect size (Cohen's d = 0.23). Time-series analyses demonstrated that depressive symptoms decreased progressively throughout the intervention period, falling below the clinical cutoff by the seventh week. These findings provide preliminary evidence that BA-based mobile applications may offer a promising, accessible approach to reducing depressive symptoms and perceived stress in young adults, though replication in larger samples with longer follow-up periods is needed to establish generalizability. This study highlights the potential of digitally delivered BA interventions as a viable alternative or complement traditional mental health services, particularly for populations facing barriers to face-to-face care.

Indexed as

behavioral activationdepressiondigital interventionmobile health applicationyoung adults

Identifiers

PMID41301298
PMCPMC12649501

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.