Evidence map›Paper›PMID 42062972›Full record

ArticleBMC public health2026

The cumulative bridge: how long-term physical activity and social engagement gradually enhance sleep health in aging adults.

Guiping Zhao, Ketao Zhang, Xiaotian Li

Abstract read
In one paragraph

Article in BMC 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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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

3 authors.

Guiping ZhaoCapital University of Physical Education, No.11, Beisanhuan West Road, Haidian District, Beijing, China.ORCID 0009-0004-4806-2558
Ketao ZhangCapital University of Physical Education, No.11, Beisanhuan West Road, Haidian District, Beijing, China.
Xiaotian LiCapital University of Physical Education, No.11, Beisanhuan West Road, Haidian District, Beijing, China. lixiaotian@cupes.edu.cn.ORCID 0000-0003-2682-0958

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesSleep disturbances are significant public health issues for middle-aged and older adults. While cross-sectional research shows associations, a comprehensive understanding of the long-term, cumulative dynamics among multiple health behaviours and sleep duration remains underdeveloped. This study examines the distinct temporal effects and synergistic potential of sustained physical activity and social engagement on sleep duration in the ageing population. RESEARCH METHODOLOGY: Using five waves of longitudinal panel data from the China Health and Retirement Longitudinal Study (CHARLS, 2011–2018), we analysed 5,082 participants (57,716 observations). We employed a nested fixed-effects model with interactions between behaviours and time (survey wave) to control for individual unobservable heterogeneity and capture dynamic effects. Control variables included marital status, gender, age, education level, drinking habits, and chronic diseases.

resultsThe direct effect of physical activity on sleep duration was negative in the short term. Crucially, its interaction with time showed a significant positive cumulative effect. Social activity also demonstrated a positive temporal effect, though the magnitude was notably smaller. Marital status exhibited a significant protective effect, and drinking habits were significantly negative. The temporal beneficial impact of physical activity was most pronounced in the middle school education group. CONCLUSIONS​: Long-term engagement in both physical activity and social activities positively enhances sleep duration, with physical activity having a more substantial and long-lasting protective impact that accrues over time. These findings underscore the need for public health policies to emphasise sustained, long-term interventions and consider education-level heterogeneity to maximise sleep benefits for ageing adults.

Indexed as

AgingExerciseSleepAgedChinaFemaleHumansLongitudinal StudiesMaleMiddle AgedSleep DurationTime FactorsAgeing populationMiddle-aged and older adultsPhysical activitySleep durationSocial activity

Identifiers

PMID42062972
PMCPMC13281588

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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.