Evidence map›Paper›PMID 42001018›Full record

ArticleBMC geriatrics2026

Physical exercise and depressive symptoms in older Chinese adults: roles of IADL functional status and social interaction.

Shutong Zhao, Haiyan Huang

Abstract read
In one paragraph

Article in BMC geriatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Shutong ZhaoCollege of Physical Education, West Anhui University, Lu'an, China.
Haiyan HuangSchool of Management, Beijing Sport University, Beijing, China. suszst@sus.edu.cn.

Funding

Anhui Province Teaching Research General Program 2024jyxm0387the Key Project of Scientific Research in Higher Education Institutions of Anhui Province 2022AH051658
6 · The paper itself

Abstract

backgroundIn the context of global population aging, examining how physical exercise relates to depressive symptoms in older adults and the possible pathways that may underlie this association is important for promoting mental health. This study investigated the association between physical exercise and depressive symptoms among older Chinese adults and explored whether IADL functional status and social interaction help to explain this association.

methodsUsing cross-sectional data from the 2018 wave of the Chinese Longitudinal Healthy Longevity Survey (CLHLS), we analyzed 7,299 respondents aged ≥ 65 years. We estimated adjusted associations between physical exercise and depressive symptoms using multivariable regression models with extensive covariate adjustment and several robustness checks, including alternative model specifications and propensity score matching. In an exploratory manner, potential pathways involving IADL functional status and social interaction were examined with regression-based analyses of cross-sectional associations and bias-corrected bootstrap confidence intervals, rather than with fully identified causal mediation models.

resultsPhysical exercise was modestly but significantly associated with lower depressive symptom scores in older adults, and this association was generally robust across sensitivity analyses. IADL functional status and social interaction together appeared to account for a limited but non-trivial share of the overall association: the indirect pathway via IADL functional status was comparatively larger than that via social interaction, and we observed some evidence consistent with a small sequential pattern from IADL functional status to social interaction. The direct (unmediated) component of the association remained the largest. In sex-stratified analyses, the inverse association between exercise and depressive symptoms appeared stronger among men than among women, and the association was not statistically significant among older adults reporting financial hardship.

conclusionIn this large observational sample of older Chinese adults, current participation in physical exercise was associated with lower levels of depressive symptoms, with patterns partly consistent with possible pathways involving IADL functional status and social interaction. Because all analyses are based on cross-sectional data and a crude measure of exercise, these results should be interpreted as correlational rather than causal. Even with these limitations, the findings suggest that promoting age-friendly opportunities for physical exercise may form one component of broader efforts to support late-life mental health in China.

Indexed as

Activities of Daily LivingDepressionExerciseFunctional StatusSocial InteractionAgedAged, 80 and overChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansLongitudinal StudiesMaleDepressive symptomsIADL functional statusMental healthOlder adultsPhysical exerciseSocial interaction

Identifiers

PMID42001018
PMCPMC13218061

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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.