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

作者：Yi‐Ming Shi, Lequn Peng, Fan Xu, Shanyu Peng, Peng Wang, Xiaomeng Huang, Ting Xiong, Yang Bai, Wei Zhang, Huang Ding · 发表于：BMC Public Health · 年份：2025 · DOI：10.1186/s12889-025-23820-y · 被引用次数：2 · 研究领域：Physical Activity and Health、Dietary Effects on Health、Stroke Rehabilitation and Recovery

OBJECTIVE: There 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. METHOD: This 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...