Evidence map›Paper›PMID 41273999›Full record

ArticleThe journal of nutrition, health & aging2026

Sex-specific associations between physical activity and cardiovascular disease under air pollution among the middle-aged and elderly population: A nationwide cross-sectional study in China.

Huilong Xie, Xuebing Sun, Liyu Huang, Tao Wang, Qi Yu, Min Hu, Jingwen Liao

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Article in The journal of nutrition, health & aging, 2026. 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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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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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

7 authors.

Huilong XieGuangdong Provincial Key Laboratory of Physical Activity and Health Promotion, Guangzhou Sport University, Guangzhou, China.
Xuebing SunGuangdong Provincial Key Laboratory of Physical Activity and Health Promotion, Guangzhou Sport University, Guangzhou, China.
Liyu HuangGuangdong Provincial Key Laboratory of Physical Activity and Health Promotion, Guangzhou Sport University, Guangzhou, China.
Tao WangCollege of Urban and Environmental Sciences, Peking University, Beijing, China.
Qi YuHSBC Business School, Peking University, Shenzhen, China.
Min HuGuangdong Provincial Key Laboratory of Physical Activity and Health Promotion, Guangzhou Sport University, Guangzhou, China. Electronic address: minhu@gzsport.edu.cn.
Jingwen LiaoGuangdong Provincial Key Laboratory of Physical Activity and Health Promotion, Guangzhou Sport University, Guangzhou, China. Electronic address: liaojw@gzsport.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionModerate-vigorous physical activity (MVPA) is known to reduce the risk of cardiovascular disease (CVD), but its role in mitigating or exacerbating this risk under exposure to air pollution remains unclear. This study investigates the associations between MVPA and CVD in the context of air pollution among both sexes.

methodsThis nationwide, cross-sectional study included 17,138 middle-aged and elderly people from the 2018 wave of the China Health and Retirement Longitudinal Study. Physical activity was assessed using the International Physical Activity Questionnaire. Data on air pollutants, including particulate matter, sulfur dioxide, ozone, nitrogen dioxide, carbon monoxide, and air quality index, were obtained from the China High Air Pollutants dataset and the Science Data Bank. CVD was identified based on self-reported physician diagnoses of heart disease or stroke.

resultsMore physically active participants were associated with lower CVD prevalence, while all air pollutants were linked to higher prevalence in the top exposure quartile. Physically inactive individuals exhibited the highest CVD prevalence across different levels of air pollution. Under high levels of air pollution, MVPA generally exhibited an inverse association with CVD prevalence in males (P for overall < 0.05), but not in females (P for overall > 0.05). In addition, MVPA duration positively mediated the associations between air pollutant exposure and CVD prevalence, with mediation proportions ranging from 10.10 to 33.30% in females and 5.14 to 7.53% in males.

conclusionsThis study highlights that, under high levels of air pollution, the inverse association between MVPA and CVD prevalence was generally observed among males. Moreover, MVPA mediates the relationships between all air pollutants and CVD prevalence.

Indexed as

Air PollutionCardiovascular DiseasesEnvironmental ExposureExerciseAgedAir PollutantsChinaCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedParticulate MatterPrevalenceSex FactorsAir PollutantsParticulate MatterAir pollutionCardiovascular diseasesMiddle-aged and elderly peoplePhysical activity

Identifiers

PMID41273999
PMCPMC12681717

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LicenceCC BY
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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.