Evidence map›Paper›PMID 41327487›Full record

ArticleBMC psychology2025

The relationship between physical activity levels and depressive symptoms: a mediation analysis of flow state in university students.

Xinglong Zhong, Tianqi Zhang, Jing Sun, Yiyi Duan, Xiaochen Ma, Yuxi Ren, Shufan Li, Xing Wang, Tao Meng

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

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Xinglong ZhongZhejiang Police College, Hangzhou, Zhejiang, China.
Tianqi ZhangSchool of Sports Law, Shanghai University of Political Science and Law, Shanghai, China.
Jing SunShanghai Institute of Visual Arts, City, Shanghai, China.
Yiyi DuanSchool of Physical Education, Shanghai University of Sport, Shanghai, China.
Xiaochen MaSchool of Physical Education, Shanghai University of Sport, Shanghai, China.
Yuxi RenSchool of Physical Education, Shanghai University of Sport, Shanghai, China.
Shufan LiSchool of Physical Education, Shanghai University of Sport, Shanghai, China.
Xing WangSchool of Physical Education, Shanghai University of Sport, Shanghai, China.
Tao MengShanghai Lixin University of Accounting and Finance, No. 2800, Wenxiang Road, Songjiang District, Shanghai, 201620, China. 20029305@lixin.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to investigate the relationships between physical activity levels, flow state, and depressive symptoms in university students, and to analyze the mediating role of flow state.

methodsA cross-sectional study was conducted, recruiting 3,326 university students from Shanghai Songjiang University Town. Participants were assessed using the Physical Activity Rating Scale-3 (PARS-3), the Flow State Scale (FSS), and the Beck Depression Inventory-II (BDI-II). Statistical analyses, including demographic statistics, preliminary analyses, and Pearson correlation, were performed using SPSS 29.0. Subsequently, Structural Equation Modeling (SEM) was conducted with AMOS 28.0 to test the mediation model, employing 5,000 bootstrap samples to assess the indirect effect.

resultsAmong the included students, correlation analyses revealed that physical activity level was negatively correlated with depressive symptoms (r = -0.125, p < 0.01) and positively correlated with flow state (r = 0.089, p < 0.01). Flow state was negatively correlated with depressive symptoms (r = -0.229, p < 0.01). The SEM demonstrated a good fit. Mediation analysis indicated a significant total effect of physical activity on depressive symptoms (β = -0.129, 95% CI [-0.163, -0.093], p < 0.001). The direct effect was significant (β = -0.105, 95% CI [-0.140, -0.071], p < 0.001), accounting for 81.4% of the total effect. The indirect effect through flow state was also significant (β = -0.024, 95% CI [-0.036, -0.013], p < 0.001), accounting for 18.6% of the total effect.

conclusionPhysical activity exerts both direct and indirect alleviating effects on depressive symptoms among university students, with flow state playing a significant partial mediating role. Intervention strategies should emphasize enhancing physical activity and optimizing exercise design to foster flow experiences.

Indexed as

DepressionExerciseStudentsAdolescentAdultChinaCross-Sectional StudiesFemaleHumansMaleMediation AnalysisPsychiatric Status Rating ScalesUniversitiesYoung AdultDepressive SymptomsFlow StateMediating EffectPhysical ActivityStructural Equation ModelingUniversity Students

Identifiers

PMID41327487
PMCPMC12771816

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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.