Evidence map›Paper›PMID 40739205›Full record

ArticleBMC public health2025

Association between physical activity patterns and the risk of stroke phenotypes: an accelerometer-based prospective cohort study from the UK Biobank.

Yiming Shi, Lequn Peng, Fan Xu, Shanyu Peng, Peng Wang, Xiaomeng Huang, Tingting Xiong, Yang Bai, Wei Zhang, Huang Ding

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

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

10 authors.

Yiming ShiHunan University of Chinese Medicine, Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine On Prevention and Treatment of Cardio-Cerebral Diseases, Changsha, China.
Lequn PengHunan University of Chinese Medicine, Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine On Prevention and Treatment of Cardio-Cerebral Diseases, Changsha, China.
Fan XuHunan University of Chinese Medicine, Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine On Prevention and Treatment of Cardio-Cerebral Diseases, Changsha, China.
Shanyu PengHunan University of Chinese Medicine, Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine On Prevention and Treatment of Cardio-Cerebral Diseases, Changsha, China.
Peng WangDepartment of Language, Literature and Communication, Faculty of Humanities, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
Xiaomeng HuangHunan University of Chinese Medicine, Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine On Prevention and Treatment of Cardio-Cerebral Diseases, Changsha, China.
Tingting XiongHunan University of Chinese Medicine, Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine On Prevention and Treatment of Cardio-Cerebral Diseases, Changsha, China.
Yang BaiHunan University of Chinese Medicine, Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine On Prevention and Treatment of Cardio-Cerebral Diseases, Changsha, China.
Wei ZhangHunan University of Chinese Medicine, Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine On Prevention and Treatment of Cardio-Cerebral Diseases, Changsha, China. Zhangwei1979@hnucm.edu.cn.
Huang DingHunan University of Chinese Medicine, Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine On Prevention and Treatment of Cardio-Cerebral Diseases, Changsha, China. 004594@hnucm.edu.cn.

Funding

China Hunan University Student Innovation and Entrepreneurship Training Program S202410541092National Natural Science Foundation of China 82174218National Natural Science Foundation of China 82305031Research Project of Hunan Provincial Health Commission B202303077469
6 · The paper itself

Abstract

objectiveThere is growing evidence of an association between exercise duration and stroke risk. However, there is no high-quality prospective evidence to confirm the equal distribution of the two exercise patterns, weekend warriors and exercise duration, and whether there are differences between different stroke subtypes. Therefore, the aim of this study was to explore the association between different exercise patterns and stroke and its subtypes using exercise data from the UK Biobank.

methodThis study analyzed data from 90,926 UK Biobank participants with long-term follow-up (mean ranging from 7.56 to 7.83 years). Accelerometer-derived MVPA data were used to classify individuals into three groups based on current guidelines: inactive (MVPA < 150 min per week), active conventional (MVPA ≥ 150 min per week with < 50% accumulated in 1-2 days), and active weekend warrior (WW; MVPA ≥ 150 min per week with ≥ 50% accrued in 1-2 days). Multivariable Cox proportional hazards models were applied to estimate the hazard ratios (HRs) for overall stroke, ischemic stroke (IS), intracerebral hemorrhage (ICH), and subarachnoid hemorrhage (SAH), while adjusting for covariates including age, sex, body mass index, ethnicity, healthy diet score, Townsend Deprivation Index, annual income, smoking status, alcohol consumption, diabetes status, family history of stroke, and education level. Stratified analyses based on MVPA distribution percentiles (25th, 50th, and 75th) were also performed to assess model stability.

resultsRelative to inactive individuals, both the active WW group (HR = 0.70; 95% CI = 0.62-0.80; P < 0.001) and the active conventional group (HR = 0.78; 95% CI = 0.66-0.91; P < 0.001) demonstrated significantly lower overall stroke risk, with no significant difference between the two active patterns (HR = 0.90; 95% CI = 0.77-1.06; P = 0.099). For ischemic stroke, the active WW group exhibited a modest, non-significant risk reduction (HR = 0.88; 95% CI = 0.74-1.05; P = 0.153), whereas the active conventional group showed a significantly elevated risk (HR = 1.31; 95% CI = 1.10-1.55; P = 0.002); direct comparisons indicated that the WW pattern conferred a significantly lower risk than the conventional pattern (HR = 0.67; 95% CI = 0.58-0.77; P < 0.001). For subarachnoid hemorrhage, the active conventional pattern was associated with an increased risk (HR = 2.03; 95% CI = 1.15-3.59; P = 0.015) relative to inactivity, while the risk in the active WW group was not significantly different (HR = 1.40; 95% CI = 0.79-2.49; P = 0.247). No significant differences were observed in the risk for intracerebral hemorrhage across groups.

conclusionsMeeting the recommended 150 min of weekly MVPA is associated with a reduced overall risk of stroke. Both active exercise patterns provide protection against ischemic stroke; however, a conventional distribution of physical activity may be linked to a higher risk of subarachnoid hemorrhage. These findings suggest that, in addition to total MVPA volume, the temporal pattern of activity accumulation plays a critical role in modulating stroke risk.

Indexed as

ExerciseStrokeAccelerometryAdultAgedBiological Specimen BanksFemaleHumansMaleMiddle AgedPhenotypeProspective StudiesRisk FactorsUK BiobankUnited KingdomMVPAStroke phenotypeTiming of physical activityUK Biobank

Identifiers

PMID40739205
PMCPMC12309056

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