Department of Data Science and Research, Whoop, Inc., Boston, Massachusetts, United States of America.
PLoS One. 2023 Jun 2;18(6):e0285332. doi: 10.1371/journal.pone.0285332. eCollection 2023.
Stress contributes to the progression of many diseases. Despite stress' contribution towards disease, few methods for continuously measuring stress exist. We investigated if continuously measured cardiovascular signals from a wearable device can be used as markers of stress. Using wearable technology (WHOOP Inc, Boston, MA) that continuously measures and calculates heart rate (HR) and heart rate variability (root-mean-square of successive differences; HRV), we assessed duration and magnitude of deviations in HR and HRV around the time of a run (from 23665 runs) or high-stress work (from 8928 high-stress work events) in free-living conditions. HR and HRV were assessed only when participants were motionless (HRmotionless). Runs were grouped into light, moderate, and vigorous runs to determine dose response relationships. When examining HRmotionless and HRV throughout the day, we found that these metrics display circadian rhythms; therefore, we normalized HRmotionless and HRV measures for each participant relative to the time of day. Relative to the period within 30 minutes leading up to a run, HRmotionless is elevated for up to 180-210 minutes following a moderate or vigorous run (P<0.05) and is unchanged or reduced following a light run. HRV is reduced for at least 300 minutes following a moderate or vigorous run (P<0.05) and is unchanged during a light run. Relative to the period within 30 minutes leading up to high-stress work, HRmotionless is elevated during and for up to 30 minutes following high-stress work. HRV tends to be lower during high-stress work (P = 0.06) and is significantly lower 90-300 minutes after the end of the activity (P<0.05). These results demonstrate that wearables can quantify stressful events, which may be used to provide feedback to help individuals manage stress.
压力会导致许多疾病的恶化。尽管压力会导致疾病,但目前很少有连续测量压力的方法。我们研究了可穿戴设备连续测量的心血管信号是否可作为压力标志物。使用可穿戴技术(波士顿的 WHOOP Inc.)连续测量和计算心率(HR)和心率变异性(连续差异的均方根;HRV),我们评估了在自由生活条件下跑步(23665 次跑步)或高压力工作(8928 次高压力工作事件)时 HR 和 HRV 偏离的持续时间和幅度。只有当参与者静止不动时(HRmotionless)才会评估 HR 和 HRV。将跑步分为轻度、中度和剧烈跑步,以确定剂量反应关系。当我们全天检查 HRmotionless 和 HRV 时,我们发现这些指标显示出昼夜节律;因此,我们根据一天中的时间对每位参与者的 HRmotionless 和 HRV 测量值进行了归一化。与中度或剧烈跑步前 30 分钟内的时间段相比,HRmotionless 在中度或剧烈跑步后长达 180-210 分钟内升高(P<0.05),而在轻度跑步后则保持不变或降低。HRV 在中度或剧烈跑步后至少 300 分钟内降低(P<0.05),而在轻度跑步时则保持不变。与高压力工作前 30 分钟内的时间段相比,HRmotionless 在高压力工作期间和结束后 30 分钟内升高。HRV 在高压力工作期间往往较低(P=0.06),并且在活动结束后 90-300 分钟显著降低(P<0.05)。这些结果表明,可穿戴设备可以量化压力事件,这可能有助于提供反馈以帮助个人管理压力。