Back to Search Start Over

Effect of wearables on sleep in healthy individuals: a randomized crossover trial and validation study.

Authors :
Berryhill S
Morton CJ
Dean A
Berryhill A
Provencio-Dean N
Patel SI
Estep L
Combs D
Mashaqi S
Gerald LB
Krishnan JA
Parthasarathy S
Source :
Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine [J Clin Sleep Med] 2020 May 15; Vol. 16 (5), pp. 775-783. Date of Electronic Publication: 2020 Feb 11.
Publication Year :
2020

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.<br />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.<br />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.<br />Conclusions: In healthy people, wearables can improve sleep quality and accurately measure sleep and cardiorespiratory variables.<br />Clinical Trial Registration: Registry: ClinicalTrials.gov; Name: Assessment of Sleep by WHOOP in Ambulatory Subjects; Identifier: NCT03692195.<br /> (© 2020 American Academy of Sleep Medicine.)

Details

Language :
English
ISSN :
1550-9397
Volume :
16
Issue :
5
Database :
MEDLINE
Journal :
Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine
Publication Type :
Academic Journal
Accession number :
32043961
Full Text :
https://doi.org/10.5664/jcsm.8356