可穿戴计算机
危险系数
体力活动
医学
能源消耗
置信区间
计步器
健康福利
人口学
物理疗法
计算机科学
老年学
内科学
社会学
嵌入式系统
传统医学
作者
Tessa Strain,Katrien Wijndaele,Paddy C. Dempsey,Stephen J. Sharp,Matthew Pearce,Justin Y. Jeon,Tim Lindsay,Nick Wareham,Søren Brage
出处
期刊:Nature Medicine
[Nature Portfolio]
日期:2020-08-17
卷期号:26 (9): 1385-1391
被引量:355
标识
DOI:10.1038/s41591-020-1012-3
摘要
Use of wearable devices that monitor physical activity is projected to increase more than fivefold per half-decade1. We investigated how device-based physical activity energy expenditure (PAEE) and different intensity profiles were associated with all-cause mortality. We used a network harmonization approach to map dominant-wrist acceleration to PAEE in 96,476 UK Biobank participants (mean age 62 years, 56% female). We also calculated the fraction of PAEE accumulated from moderate-to-vigorous-intensity physical activity (MVPA). Over the median 3.1-year follow-up period (302,526 person-years), 732 deaths were recorded. Higher PAEE was associated with a lower hazard of all-cause mortality for a constant fraction of MVPA (for example, 21% (95% confidence interval 4-35%) lower hazard for 20 versus 15 kJ kg-1 d-1 PAEE with 10% from MVPA). Similarly, a higher MVPA fraction was associated with a lower hazard when PAEE remained constant (for example, 30% (8-47%) lower hazard when 20% versus 10% of a fixed 15 kJ kg-1 d-1 PAEE volume was from MVPA). Our results show that higher volumes of PAEE are associated with reduced mortality rates, and achieving the same volume through higher-intensity activity is associated with greater reductions than through lower-intensity activity. The linkage of device-measured activity to energy expenditure creates a framework for using wearables for personalized prevention.
科研通智能强力驱动
Strongly Powered by AbleSci AI