Evidence mapPaperPMID 39738310Full record

ArticleScientific reports2024

Association between physical activity levels and stroke risk among Chinese adults aged 45 and over based on CHARLS.

Changjun Jiang, Tianhong Chen, Jianfeng Xiang, Yiqun Pang

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Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
field-weighted citation impact
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

5 citing papers in PubMed.

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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

4 authors.

Changjun JiangSchool of Physical Education, Southwest Petroleum University, Chengdu, 610500, China.
Tianhong ChenSchool of Physical Education, Southwest Petroleum University, Chengdu, 610500, China.
Jianfeng XiangSchool of Physical Education, Southwest Petroleum University, Chengdu, 610500, China. 15827118@qq.com.
Yiqun PangSchool of Physical Education, Southwest Petroleum University, Chengdu, 610500, China. pangyiqun@swpu.edu.cn.

Funding

Zigong Key Research Foundation of Philosophy and Social Science, Health Humanities Research Center Project YDJKZC-02
6 · The paper itself

Abstract

Stroke is one of the leading causes of death in developing countries, and China bears the largest global burden of stroke. This study aims to investigate the relationship between different dimensions of physical activity levels and stroke risk using a nationally representative database. We performed a cross-sectional analysis using data from the China Health and Retirement Longitudinal Study (CHARLS) 2020. Binary logistic regression models were used to analyze the associations between different dimensions of physical activity levels (intensity, frequency, duration, and total physical activity (TPA)) and stroke risk in Chinese middle-aged and older adults. Subgroups were analyzed according to participants' age, sex, residency, hypertension, dyslipidemia, and diabetes stratification. The results showed that after adjusting for all covariates, almost all frequencies and durations of moderate physical activity (MPA), and high-frequency and long-duration vigorous physical activity (VPA) were associated with lower stroke risk. No significant relationship was observed between light physical activity (LPA) and stroke risk. TPA was categorized into quartiles (Q1, Q2, Q3, Q4). Compared with the first quartile, the third and fourth quartiles were significantly associated with lower stroke risk, with risk reductions of 35% (OR 0.65, 95% CI 0.50-0.84) and 42% (OR 0.58, 95% CI 0.44-0.76), respectively. Subgroup analysis revealed differences in the association between TPA and stroke risk in different populations, and the interaction test indicated no significant interactions between these variables and TPA. Our findings suggested that appropriate participation in physical activity is effective in preventing stroke in middle-aged and older adults. Both MPA and high-frequency or long-duration VPA were significantly associated with lower stroke risk, and keeping TPA at a high level was significantly associated with lower stroke risk.

Indexed as

ExerciseStrokeAgedAged, 80 and overChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansLongitudinal StudiesMaleMiddle AgedRisk Factors

Identifiers

PMID39738310
PMCPMC11686039

What Socratic holds

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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.