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


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
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

775-783

Commentaires et corrections

Type : CommentIn

Informations de copyright

© 2020 American Academy of Sleep Medicine.

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Auteurs

Sarah Berryhill (S)

University of Arizona Health Sciences Center for Sleep and Circadian Sciences, University of Arizona, Tucson, Arizona.

Christopher J Morton (CJ)

University of Arizona Health Sciences Center for Sleep and Circadian Sciences, University of Arizona, Tucson, Arizona.

Adam Dean (A)

University of Arizona Health Sciences Center for Sleep and Circadian Sciences, University of Arizona, Tucson, Arizona.

Adam Berryhill (A)

University of Arizona Health Sciences Center for Sleep and Circadian Sciences, University of Arizona, Tucson, Arizona.

Natalie Provencio-Dean (N)

University of Arizona Health Sciences Center for Sleep and Circadian Sciences, University of Arizona, Tucson, Arizona.

Salma I Patel (SI)

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.

Lauren Estep (L)

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.

Daniel Combs (D)

University of Arizona Health Sciences Center for Sleep and Circadian Sciences, University of Arizona, Tucson, Arizona.
Department of Pediatrics, University of Arizona, Tucson, Arizona.

Saif Mashaqi (S)

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.

Lynn B Gerald (LB)

Asthma and Airway Diseases Research Center, University of Arizona, Tucson, Arizona.

Jerry A Krishnan (JA)

Breathe Chicago Center, Division of Pulmonary, Critical Care, Sleep, & Allergy, University of Illinois, Chicago, Illinois.

Sairam Parthasarathy (S)

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.

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Classifications MeSH