Effect of wearables on sleep in healthy individuals: a randomized crossover trial and validation study
Effect of wearables on sleep in healthy individuals: a randomized crossover trial and validation study
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DOI：
10.5664/jcsm.8356
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发表时间：
2020-05-15
影响因子：
4.3
通讯作者：
Parthasarathy, Sairam
中科院分区：
文献类型：
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作者：
Berryhill, Sarah;Morton, Christopher J.;Parthasarathy, Sairam
研究目标：本研究的目的是确定可穿戴式睡眠追踪器是否可以改善健康参与者的感知睡眠质量，并测试与多导睡眠图相比，可穿戴式睡眠追踪器是否可以可靠地测量睡眠数量和质量。方法：本研究包括一项单中心随机交叉试验，对象是没有医疗条件或睡眠障碍的社区参与者。可穿戴设备（WHOOP，Inc.）使用的是向参与者提供关于睡眠信息的反馈1周，并保持睡眠日志，而不是单独保持睡眠日志1周。自我报告的日常睡眠行为记录在睡眠日志中。在佩戴可穿戴设备的1个晚上进行多导睡眠描记术。在基线、参与研究的第7天和第14天测量患者报告结果测量信息系统睡眠障碍睡眠量表。（21名女性; 23.8 ± 5岁），可穿戴设备改善了夜间睡眠质量（患者报告结果测量信息系统睡眠障碍：B = -1.69; 95%置信区间，-3.11至-0.27; P = 0.021）调整年龄、性别、基线和顺序效应后。戴上该设备后，自我报告的日间小睡次数略有增加（B = 3.2; SE，1.4; P = 0.023），但每日总睡眠时间保持不变（P = 0.001）。43）。可穿戴设备在测量睡眠持续时间方面具有低偏差（13.8分钟）和精确度（17.8分钟）误差，并准确测量了有梦睡眠和慢波睡眠（组内系数分别为0.74 +/- 0.28和0.85 +/- 0.15）。心率（偏差，-0.17%;精度，1.5%）和呼吸率（偏差，1.8%;精度，6.7%）的偏差和精度误差非常低相比，心电图和电感体积描记法测量在polysomnography.Conclusions：在健康人群中，可穿戴设备可以提高睡眠质量，准确地测量睡眠和心肺变量。
Study Objectives: The purpose of this study was to determine whether a wearable sleep-tracker improves perceived sleep quality in healthy participants and to test whether wearables reliably measure sleep quantity and quality compared with polysomnography.Methods: This study included a single-center randomized crossover trial of community-based participants without medical conditions or sleep disorders. A wearable device (WHOOP, Inc.) was used that provided feedback regarding sleep information to the participant for 1 week and maintained sleep logs versus 1 week of maintained sleep logs alone. Self-reported daily sleep behaviors were documented in sleep logs. Polysomnography was performed on 1 night when wearing the wearable. The Patient-Reported Outcomes Measurement Information System sleep disturbance sleep scale was measured at baseline, day 7 and day 14 of study participation.Results: In 32 participants (21 women; 23.8 +/- 5 years), wearables improved nighttime sleep quality (Patient-Reported Outcomes Measurement Information System sleep disturbance: B = -1.69; 95% confidence interval, -3.11 to -0.27; P =.021) after adjusting for age, sex, baseline, and order effect. There was a small increase in self-reported daytime naps when wearing the device (B = 3.2; SE, 1.4; P =.023), but total daily sleep remained unchanged (P =. 43). The wearable had low bias (13.8 minutes) and precision (17.8 minutes) errors for measuring sleep duration and measured dream sleep and slow wave sleep accurately (intraclass coefficient, 0.74 +/- 0.28 and 0.85 +/- 0.15, respectively). Bias and precision error for heart rate (bias, -0.17%; precision, 1.5%) and respiratory rate (bias, 1.8%; precision, 6.7%) were very low compared with that measured by electrocardiogram and inductance plethysmography during polysomnography.Conclusions: In healthy people, wearables can improve sleep quality and accurately measure sleep and cardiorespiratory variables.