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可穿戴设备测量的身体活动与未来健康风险。

Wearable-device-measured physical activity and future health risk.

机构信息

MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK.

Physical Activity & Behavioural Epidemiology Laboratories, Baker Heart & Diabetes Institute, Melbourne, Victoria, Australia.

出版信息

Nat Med. 2020 Sep;26(9):1385-1391. doi: 10.1038/s41591-020-1012-3. Epub 2020 Aug 17.

Abstract

Use of wearable devices that monitor physical activity is projected to increase more than fivefold per half-decade. 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 d 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 d 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.

摘要

可穿戴设备监测身体活动的使用预计每半个世纪将增加五倍以上。我们研究了基于设备的身体活动能量消耗(PAEE)和不同强度分布与全因死亡率的关系。我们使用网络协调方法将主要腕部加速度映射到 96476 名英国生物银行参与者(平均年龄 62 岁,56%为女性)的 PAEE 中。我们还计算了从中等到剧烈强度身体活动(MVPA)积累的 PAEE 分数。在中位 3.1 年的随访期间(302526 人年),记录了 732 例死亡。对于一定比例的 MVPA,PAEE 越高,全因死亡率的风险越低(例如,PAEE 为 20 与 15 kJ·kg·d 相比,MVPA 占 10%时,风险降低 21%(95%置信区间为 4-35%);当 PAEE 保持不变时,MVPA 分数越高,风险越低(例如,当 20%与 15 kJ·kg·d 时,MVPA 占 10%相比,风险降低 30%(8-47%))。我们的结果表明,更高的 PAEE 量与降低的死亡率相关,而通过更高强度的活动来达到相同的 PAEE 量与通过更低强度的活动相比,与更大的降低相关。设备测量的活动与能量消耗的联系为使用可穿戴设备进行个性化预防创造了一个框架。

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Wearable-device-measured physical activity and future health risk.可穿戴设备测量的身体活动与未来健康风险。
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