Effect of wearables on sleep in healthy individuals: a randomized crossover trial and validation study.
sleep
sleep loss
sleep quality
sleep tracker
wearable
Journal
Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine
ISSN: 1550-9397
Titre abrégé: J Clin Sleep Med
Pays: United States
ID NLM: 101231977
Informations de publication
Date de publication:
15 05 2020
15 05 2020
Historique:
pubmed:
12
2
2020
medline:
24
6
2021
entrez:
12
2
2020
Statut:
ppublish
Résumé
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. 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. 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. In healthy people, wearables can improve sleep quality and accurately measure sleep and cardiorespiratory variables. Registry: ClinicalTrials.gov; Name: Assessment of Sleep by WHOOP in Ambulatory Subjects; Identifier: NCT03692195.
Identifiants
pubmed: 32043961
doi: 10.5664/jcsm.8356
pmc: PMC7849816
doi:
Banques de données
ClinicalTrials.gov
['NCT03692195']
Types de publication
Journal Article
Randomized Controlled Trial
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
775-783Commentaires et corrections
Type : CommentIn
Informations de copyright
© 2020 American Academy of Sleep Medicine.
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