Evidence map›Paper›PMID 42277325›Full record

ArticleScientific reports2026

Intergenerational contact frequency and health outcomes among empty-nest older adults in China: a mediation analysis through physical exercise.

Hui Wang, Yan Jiang, Jinghang Cui

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Article in Scientific reports, 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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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Hui WangDepartment of Physical Education, Nanjing University, Nanjing, Jiangsu, China.
Yan JiangDepartment of Physical Education, Nanjing University, Nanjing, Jiangsu, China. 603441789@qq.com.
Jinghang CuiCenter for Applied Science in Health and Aging, Western Kentucky University, Bowling Green, KY, USA. jinghangcui@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examines the associations between intergenerational contact frequency and health outcomes among empty-nest older adults in China, and further investigates whether physical exercise serves as a behavioral pathway underlying these associations. Using data from the 2020 wave of the China Health and Retirement Longitudinal Study (CHARLS), we analyzed 3117 community-dwelling individuals aged 65 years and older who did not co-reside with their children. Intergenerational contact frequency was measured as a five-level ordinal indicator based on the frequency of in-person visits by children during the past year, using the maximum contact frequency across all children as the primary aggregation rule. Self-rated health and physical exercise frequency were analyzed using ordered logistic regression, while depressive symptoms measured by the CES-D-10 were modeled using negative binomial regression. Mediation effects were decomposed using the Karlson-Holm-Breen (KHB) method with 5000 bootstrap resamples. Higher intergenerational contact frequency was significantly associated with better self-rated health (OR = 1.18, 95% CI 1.10-1.27) and fewer depressive symptoms (IRR = 0.92, 95% CI 0.88-0.96), after adjusting for age, sex, education, residence, marital status, income, and chronic disease count. More frequent intergenerational contact was also positively associated with physical exercise frequency (β = 0.21, p < 0.001). Physical exercise partially mediated both associations. The indirect effect through exercise accounted for 18.6% of the association between intergenerational contact and self-rated health (indirect effect = 0.088, 95% CI 0.043-0.136), and 13.4% of the association with depressive symptoms (indirect effect =  - 0.12, 95% CI - 0.20 to - 0.06). Subgroup analyses suggested that the mediating role of physical exercise was somewhat stronger among rural residents and male older adults. More frequent in-person contact between empty-nest older adults and their children is associated with better physical and mental health outcomes in China, with physical exercise partially explaining these associations. These findings suggest that intergenerational relationships may contribute to healthy aging partly by promoting more active lifestyles among older adults. Due to the cross-sectional design, causal relationships cannot be established. Longitudinal analyses using multiple waves of CHARLS data are needed to clarify temporal ordering and causal mechanisms. Public health strategies that integrate family engagement with community-based exercise promotion may help support healthy aging in China's growing empty-nest older population.

Indexed as

ExerciseIntergenerational RelationsAgedAged, 80 and overChinaDepressionFemaleHealth StatusHumansIndependent LivingLongitudinal StudiesMaleMediation AnalysisCHARLSChinaDepressive symptomsEmpty-nest older adultsIn-person visitsIntergenerational contact frequencyMediation analysisPhysical exerciseSelf-rated health

Identifiers

PMID42277325
PMCPMC13507348

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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.