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Effect of Wearables on Sleep in Healthy Individuals: a Randomized Crossover Trial and Validation Study

Overview
Specialties Neurology
Psychiatry
Date 2020 Feb 12
PMID 32043961
Citations 50
Authors
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Abstract

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.

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References
1.
Li Y, Zhang X, Winkelman J, Redline S, Hu F, Stampfer M . Association between insomnia symptoms and mortality: a prospective study of U.S. men. Circulation. 2013; 129(7):737-46. PMC: 3987964. DOI: 10.1161/CIRCULATIONAHA.113.004500. View

2.
DiClemente C, Marinilli A, Singh M, Bellino L . The role of feedback in the process of health behavior change. Am J Health Behav. 2001; 25(3):217-27. DOI: 10.5993/ajhb.25.3.8. View

3.
Khosla S, Deak M, Gault D, Goldstein C, Hwang D, Kwon Y . Consumer Sleep Technology: An American Academy of Sleep Medicine Position Statement. J Clin Sleep Med. 2018; 14(5):877-880. PMC: 5940440. DOI: 10.5664/jcsm.7128. View

4.
Nakazaki C, Noda A, Koike Y, Yamada S, Murohara T, Ozaki N . Association of insomnia and short sleep duration with atherosclerosis risk in the elderly. Am J Hypertens. 2012; 25(11):1149-55. DOI: 10.1038/ajh.2012.107. View

5.
Wheaton A, Olsen E, Miller G, Croft J . Sleep Duration and Injury-Related Risk Behaviors Among High School Students--United States, 2007-2013. MMWR Morb Mortal Wkly Rep. 2016; 65(13):337-41. DOI: 10.15585/mmwr.mm6513a1. View