Evidence map›Paper›PMID 42490917›Full record

ArticleFrontiers in public health2026

The dynamic association between physical exercise and depressive symptoms in China: an age-period-cohort analysis using the HAPC-CCREM and the moderating role of urban-rural disparities.

Fuxiang Yu, Long Niu, Boyang He, Ningyi Zhang, Ce Guo

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Article in Frontiers in public health, 2026. 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

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Fuxiang YuBusiness School, Hangzhou City University, Hangzhou, China.
Long NiuSchool of Physical Education and Sport, Xi'an Jiaotong University, Xi'an, China.
Boyang HeSchool of Physical Education and Sport, Xi'an Jiaotong University, Xi'an, China.
Ningyi ZhangSchool of Athletic Performance, Shanghai University of Sport, Shanghai, China.
Ce GuoSchool of Athletic Performance, Shanghai University of Sport, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: While the positive association between physical exercise and depressive symptoms (as an indicator of mental health) is well-established, existing research lacks a dynamic life-course and socio-generational perspective. It remains unclear how these associations evolve across different ages, historical periods, and birth cohorts, and how they are moderated by structural factors such as the urban-rural divide. Methods: Utilizing pooled cross-sectional data from five waves (2010-2017) of the China General Social Survey (CGSS) with 28,618 valid adult samples, this study employs a Hierarchical Age-Period-Cohort Cross-Classified Random Effects Model (HAPC-CCREM) to disentangle age, period, and cohort patterns. Results: The advantage associated with regular physical exercise in terms of depressive symptoms exhibits a non-linear age pattern suggestive of a U-shape, being strongest among younger and older adults but attenuated during middle age. Cohort analysis reveals that earlier-born cohorts show a stronger positive association between exercise and fewer depressive symptoms. This positive association declined with socio-economic development but shows a resurgence among the post-1990s cohort, suggesting possible links to socio-economic development and shifting values. Urban-rural disparities significantly moderate this association: urban residents exhibit a stronger positive association and more effective stress-alleviating patterns from exercise, whereas the corresponding association for rural residents is comparatively limited. Conclusion: The positive psychological correlates of physical exercise with respect to depressive symptoms are not static but are dynamically shaped by individual life stages and macro-social transformations. In the context of China's transition towards post-materialist values, the role of exercise may be shifting from a "luxury enhancer" to a "necessary support." Future public health strategies should adopt a differentiated approach, considering life-course stages, cohort experiences, and urban-rural structural contexts to implement precise mental health promotion strategies (i.e., reducing depressive symptoms).

Indexed as

DepressionExerciseRural PopulationUrban PopulationAdultAgedAge FactorsChinaCohort StudiesCross-Sectional StudiesFemaleHumansMaleMiddle AgedSocioeconomic Disparities in HealthYoung Adultage-period-cohort analysisdepressive symptomsHAPC modelphysical exerciseurban–rural disparities

Identifiers

PMID42490917
PMCPMC13375778

What Socratic holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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 Socratic graph.