Evidence map›Paper›PMID 40823396›Full record

ArticleFrontiers in psychology2025

The relationship between behavioral activation and burnout in a community setting: the mediating role of acceptance-based action, automatic negative thought, and self-efficacy.

Hyewon Yeo, Jini Tae, Yoonhyoung Lee, Youngeun Kim, Wonhye Lee

Abstract read
In one paragraph

Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers 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.

No citing paper in PubMed yet.

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

5 authors.

Hyewon Yeo *Department of Psychiatry, Samsung Medical Center, Seoul, Republic of Korea.
Jini Tae *School of Humanities and Social Sciences, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea.
Yoonhyoung LeeDepartment of Psychology, Yeungnam University, Daegu, Republic of Korea.
Youngeun KimKorea Brain Research Institute, Daegu, Republic of Korea.
Wonhye LeeDepartment of Psychiatry, Samsung Medical Center, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Burnout, a work-related syndrome, considerably overlaps with depression. Despite its negative impact on modern society, the underlying mechanisms and effective interventions remain unclear. This study explores the effects of behavioral activation (BA) on burnout and investigates potential mediators within this relationship. Method: Participants consisted of 471 Korean adults aged 20 to 69, recruited from the community through a research panel. They completed a self-administered online survey via personal computers or mobile devices. The survey included self-report measures such as the Behavioral Activation for Depression Scale-Short Form (BADS-SF), the Acceptance and Action Questionnaire-II (AAQ-II), the Self-Efficacy (SE). Results: Path analysis results indicated that higher behavioral activation levels were associated with increased acceptance-based action and self-efficacy, as well as reduced automatic negative thoughts. Additionally, greater acceptance-based action and self-efficacy were linked to lower burnout levels, whereas more frequent automatic negative thoughts were associated with higher burnout levels. Furthermore, structural equation modeling revealed that the relationship between behavioral activation and psychological burnout was fully mediated by these three variables. Discussion: This study demonstrated a significant relationship between behavioral activation and burnout symptoms, with acceptance-based action, automatic negative thoughts, and self-efficacy acting as mediators. These findings offer valuable insights for developing effective treatment protocols for burnout within the BA framework.

Indexed as

acceptance-based actionautomatic negative thoughtbehavioral activationburnoutself-efficacystructural equation model (SEM)

Identifiers

PMID40823396
PMCPMC12354651

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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.