Berryhill Sarah, Morton Christopher J, Dean Adam, Berryhill Adam, Provencio-Dean Natalie, Patel Salma I, Estep Lauren, Combs Daniel, Mashaqi Saif, Gerald Lynn B, Krishnan Jerry A, Parthasarathy Sairam
University of Arizona Health Sciences Center for Sleep and Circadian Sciences, University of Arizona, Tucson, Arizona.
Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, University of Arizona, Tucson, Arizona.
J Clin Sleep Med. 2020 May 15;16(5):775-783. doi: 10.5664/jcsm.8356. Epub 2020 Feb 11.
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. CLINICAL TRIAL REGISTRATION: Registry: ClinicalTrials.gov; Name: Assessment of Sleep by WHOOP in Ambulatory Subjects; Identifier: NCT03692195.
研究目的：本研究旨在确定可穿戴睡眠追踪器是否能改善健康参与者的睡眠质量感知，并测试与多导睡眠图相比，可穿戴设备能否可靠地测量睡眠量和质量。 方法：本研究包括一项针对无医疗状况或睡眠障碍的社区参与者的单中心随机交叉试验。使用了一种可穿戴设备（WHOOP公司），该设备向参与者提供有关睡眠信息的反馈，为期1周，并记录睡眠日志，而另一组则仅记录1周的睡眠日志。自我报告的每日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图检查。在研究参与的基线、第7天和第14天测量患者报告结局测量信息系统睡眠障碍睡眠量表。 结果：在32名参与者（21名女性；23.8±5岁）中，在调整年龄、性别、基线和顺序效应后，可穿戴设备改善了夜间睡眠质量（患者报告结局测量信息系统睡眠障碍：B=-1.69；95%置信区间，-3.11至-0.27；P=.021）。佩戴该设备时，自我报告的白天小睡略有增加（B=3.2；标准误，1.4；P=.023），但每日总睡眠时间保持不变（P=.43）。该可穿戴设备在测量睡眠持续时间方面具有较低的偏差（13.8分钟）和精度（17.8分钟）误差，并且能够准确测量快速眼动睡眠和慢波睡眠（组内相关系数分别为0.74±0.28和0.85±0.15）。与多导睡眠图期间通过心电图和感应式体积描记法测量的心率（偏差，-0.17%；精度，1.5%）和呼吸频率（偏差，1.8%；精度，6.7%）相比，偏差和精度误差非常低。 结论：在健康人群中，可穿戴设备可以改善睡眠质量，并准确测量睡眠及心肺变量。 临床试验注册：注册机构：ClinicalTrials.gov；名称：WHOOP对门诊受试者睡眠的评估；标识符：NCT03692195。
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