Wearable-device-measured physical activity and future health risk
Author(s) -
Tessa Strain,
Katrien Wijndaele,
Paddy C. Dempsey,
Stephen J. Sharp,
Matthew Pearce,
Justin Y. Jeon,
Tim Lindsay,
Nicholas J. Wareham,
Søren Brage
Publication year - 2020
Publication title -
nature medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 19.536
H-Index - 547
eISSN - 1546-170X
pISSN - 1078-8956
DOI - 10.1038/s41591-020-1012-3
Subject(s) - physical activity , hazard ratio , medicine , energy expenditure , wearable computer , confidence interval , pedometer , health benefits , physical therapy , demography , gerontology , computer science , sociology , embedded system , traditional medicine
Use of wearable devices that monitor physical activity is projected to increase more than fivefold per half-decade 1 . 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.
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