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身体活动模式与中风表型风险之间的关联:一项基于加速度计的英国生物银行前瞻性队列研究。

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

作者信息

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

机构信息

Hunan 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.

Department of Language, Literature and Communication, Faculty of Humanities, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.

出版信息

BMC Public Health. 2025 Jul 30;25(1):2593. doi: 10.1186/s12889-025-23820-y.

Abstract

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 assess model stability.

RESULTS

Relative 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.

CONCLUSIONS

Meeting 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.

摘要

目的

越来越多的证据表明运动时长与中风风险之间存在关联。然而,尚无高质量的前瞻性证据来证实两种运动模式(周末战士型和运动时长)的分布是否均衡,以及不同中风亚型之间是否存在差异。因此,本研究旨在利用英国生物银行的运动数据,探讨不同运动模式与中风及其亚型之间的关联。

方法

本研究分析了90926名英国生物银行参与者的数据,并进行了长期随访(平均随访时间为7.56至7.83年)。根据当前指南,利用加速度计得出的中度至剧烈身体活动(MVPA)数据将个体分为三组:不活跃组(每周MVPA<150分钟)、积极常规组(每周MVPA≥150分钟且在1-2天内积累的时间<50%)和积极周末战士型组(WW;每周MVPA≥150分钟且在1-2天内积累的时间≥50%)。应用多变量Cox比例风险模型来估计总体中风、缺血性中风(IS)、脑出血(ICH)和蛛网膜下腔出血(SAH)的风险比(HR),同时对包括年龄、性别、体重指数、种族、健康饮食评分、汤森德贫困指数、年收入、吸烟状况、饮酒量、糖尿病状况、中风家族史和教育水平等协变量进行调整。还基于MVPA分布百分位数(第25、50和75百分位数)进行了分层分析,以评估模型稳定性。

结果

与不活跃个体相比,积极周末战士型组(HR=0.70;95%CI=0.62-0.80;P<0.001)和积极常规组(HR=0.78;95%CI=0.66-0.91;P<0.001)的总体中风风险均显著降低,两种积极运动模式之间无显著差异(HR=0.90;95%CI=0.77-1.06;P=0.099)。对于缺血性中风,积极周末战士型组的风险有适度降低但不显著(HR=0.88;95%CI=0.74-1.05;P=0.153),而积极常规组的风险显著升高(HR=1.31;95%CI=1.10-1.55;P=0.002);直接比较表明,周末战士型模式的风险显著低于常规模式(HR=0.67;95%CI=0.58-0.77;P<0.001)。对于蛛网膜下腔出血,相对于不活跃状态,积极常规模式与风险增加相关(HR=2.03;95%CI=1.15-3.59;P=0.015),而积极周末战士型组的风险无显著差异(HR=1.40;95%CI=0.79-2.49;P=0.247)。各组之间脑出血风险未观察到显著差异。

结论

达到每周推荐的150分钟MVPA与降低总体中风风险相关。两种积极运动模式均能预防缺血性中风;然而,身体活动的常规分布模式可能与蛛网膜下腔出血的较高风险相关。这些发现表明,除了MVPA总量外,活动积累的时间模式在调节中风风险中起着关键作用。

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