Evidence map›Paper›PMID 41276794›Full record

ArticlePsychiatry investigation2025

A Randomized Controlled Trial of Group-Based Acceptance and Commitment Therapy for Major Depressive Disorder.

Sang Won Lee, Ho Seok Seo, Mina Choi, Seung Jae Lee

Abstract read
In one paragraph

Article in Psychiatry investigation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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

4 authors.

Sang Won LeeDepartment of Psychiatry, Kyungpook National University Chilgok Hospital, Daegu, Republic of Korea.
Ho Seok SeoDepartment of Psychiatry, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
Mina ChoiInstitute of Biomedical Engineering Research, Kyungpook National University, Daegu, Republic of Korea.
Seung Jae LeeDepartment of Psychiatry, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.

Funding

National Research Foundation of Korea 2021R1A2C2004720
6 · The paper itself

Abstract

objectiveMajor depressive disorder (MDD) is a prevalent and debilitating psychiatric condition. This study developed a group-based acceptance and commitment therapy (GACT) program for MDD and conducted a randomized controlled trial to evaluate its effectiveness. The study aims to assess the effects of GACT and identify factors influencing depression recovery in patients with MDD in Korea.

methodsIndividuals diagnosed with MDD, aged 18-40 years, were recruited. Fifty-nine participants were randomly assigned to either the GACT or waitlist control (WLC) group, with 50 participants (27 in GACT and 23 in WLC) successfully completing the program.

resultsThe GACT group demonstrated significant improvements in depression symptoms (Center for Epidemiological Studies-Depression Scale, CES-D), rumination (Ruminative Response Scale-Revised, RRS-R), experiential avoidance (Acceptance and Action Questionnaire-II, AAQ-II), and cognitive fusion (Cognitive Fusion Questionnaire, CFQ) compared to the WLC group (all ps<0.05). Correlation and multivariate regression analyses indicated that improvements in CES-D scores were associated with changes in AAQ-II scores.

conclusionOur findings suggest that the 8-week GACT program has positive effects on depressive symptoms and ACT-related psychological processes in patients with MDD. This study highlights GACT as a promising group-based intervention for depression, potentially reducing the burden of individual psychological treatments.

Indexed as

Acceptance commitment therapyExperiential avoidanceMajor depressive disorderRumination

Identifiers

PMID41276794
PMCPMC12646709

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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.