医学
体力活动
生命银行
癫痫
死亡率
久坐行为
人口学
久坐的生活习惯
活动监视器
可穿戴计算机
物理疗法
加速度计
环境卫生
健康福利
老年学
梅德林
急诊医学
流行病学
年轻人
死亡风险
儿科
全国健康与营养检查调查
接收机工作特性
健康数据
活动记录
作者
Lingjie Fan,Shengyi Liu,Junhan Zhao,Xiyue Wang,Yanyi Nie,Farah Qaderi,Q. Y. Su,Zihua He,Sen Yang,Tong Yi,Jiaqi Wang,Cairong Zhu,Josemir W. Sander,Dong Zhou,Tao Lin,Jinmei Li
标识
DOI:10.1038/s41467-025-64805-0
摘要
Epilepsy affects over 70 million individuals worldwide, with optimal physical activity (PA) levels remaining challenging to determine due to potential negative outcomes from both insufficient and excessive activity. To quantify the associations between objective PA and mortality in people with epilepsy, we analyzed accelerometer data from 98,561 UK Biobank participants, including 1167 with epilepsy, to quantify associations between objectively measured PA and mortality. During a median follow-up of 7.1 years, people with epilepsy had significantly higher mortality rate (Standardized mortality ratio: 2.39, 1.97-2.86). Higher sedentary behavior duration was associated with lower all-cause mortality (hazard ratio: 0.87, 0.78-0.97). Dose-response analyses identified sedentary durations of 7-13 h/day (p nonlinear=0.025) and moderate-to-vigorous PA of 0.1-0.2 h/day (p nonlinear=0.005) were associated with lower mortality. An explainable machine-learning model that combined multi-dimensional PA with demographic and health information effectively stratified individual risk (Area Under the Receiver Operating Characteristic curve: 0.87 ± 0.08) and could support personalized activity guidance through a wearable system.
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