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更频繁佩戴WHOOP手环与更好的生物特征识别、更健康的睡眠及活动模式相关。

Wearing WHOOP More Frequently Is Associated with Better Biometrics and Healthier Sleep and Activity Patterns.

作者信息

Grosicki Gregory J, Fielding Finnbarr, Kim Jeongeun, Chapman Christopher J, Olaru Maria, Hippel William von, Holmes Kristen E

机构信息

Performance Science, WHOOP Inc., Boston, MA 02215, USA.

Research Algorithms and Development, WHOOP Inc., Boston, MA 02215, USA.

出版信息

Sensors (Basel). 2025 Apr 12;25(8):2437. doi: 10.3390/s25082437.

Abstract

Wearable devices are increasingly used for health monitoring, yet the impact of consistent wear on physiological and behavioral outcomes is unclear. Leveraging nearly a million days and nights of longitudinal data from 11,914 subscribers, we examined the associations between the frequency of wearing a wrist-worn wearable device (WHOOP Inc., Boston, MA, USA) and 12-week changes in biometric, sleep, and activity profiles, modeling both between- and within-person effects. Higher average wear frequency and week-to-week increases in wear were associated with a lower resting heart rate (RHR), higher heart rate variability (HRV), longer and more consistent sleep, and greater weekly and daily physical activity duration (Ps < 0.01). A within-person multiple mediation analysis indicated that increased sleep duration partially mediated the association between wear frequency and a standardized (z-scored) RHR (indirect effect = -0.0387 [95% CI: -0.0464, -0.0326]), whereas physical activity minutes did not (indirect effect = 0.0003 [95% CI: -0.0036, 0.0040]). A Granger causality analysis revealed a modest but notable association between prior wear frequency and future RHR in participants averaging ≤5 days of weekly wear ( < 0.05 in 10.92% of tests). While further research is needed, our findings provide real-world evidence that sustained wearable engagement may support healthier habits and improved physiological outcomes over time.

摘要

可穿戴设备越来越多地用于健康监测,然而持续佩戴对生理和行为结果的影响尚不清楚。利用来自11914名订阅者近100万个日日夜夜的纵向数据,我们研究了佩戴腕式可穿戴设备(美国马萨诸塞州波士顿的WHOOP公司)的频率与生物特征、睡眠和活动状况12周变化之间的关联,对个体间和个体内效应进行建模。更高的平均佩戴频率和每周佩戴次数的增加与较低的静息心率(RHR)、较高的心率变异性(HRV)、更长且更规律的睡眠以及每周和每天更长的身体活动持续时间相关(P<0.01)。个体内多重中介分析表明,睡眠时间的增加部分介导了佩戴频率与标准化(z评分)RHR之间的关联(间接效应=-0.0387[95%CI:-0.0464,-0.0326]),而身体活动分钟数则没有(间接效应=0.0003[95%CI:-0.0036,0.0040])。格兰杰因果分析显示,在平均每周佩戴≤5天的参与者中,先前的佩戴频率与未来的RHR之间存在适度但显著的关联(在10.92%的测试中P<0.05)。虽然还需要进一步研究,但我们的研究结果提供了现实世界的证据,表明持续使用可穿戴设备可能会随着时间的推移支持更健康的习惯并改善生理结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e856/12030945/c6acb2dc5658/sensors-25-02437-g001.jpg

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