1209 Effect Of Wearables On Sleep In Healthy Individuals: A Randomized Cross-over Trial And Validation Study

Autor:	Lauren Estep, Christopher J Morton, A Berryhill, Natalie Provencio-Dean, Saif Mashaqi, A Dean, L B Gerald, Salma I. Patel, Sarah Berryhill, Daniel Combs, Sairam Parthasarathy, Jerry A. Krishnan
Rok vydání:	2020
Předmět:	Validation study medicine.medical_specialty business.industry Physiology (medical) Healthy individuals Physical therapy Medicine Neurology (clinical) business Crossover study Sleep in non-human animals
Zdroj:	Sleep. 43:A462-A462
ISSN:	1550-9109 0161-8105
DOI:	10.1093/sleep/zsaa056.1203
Popis:	Introduction To determine whether a wearable sleep-tracker improves perceived sleep quality in healthy subjects. To test whether wearables reliably measure sleep quantity and quality compared to polysomnography. Methods A single-center randomized cross-over trial of community-based participants without medical conditions or sleep disorders. Wearable device (WHOOP, Inc.) that provided feedback regarding sleep information to the participant for 1-week and maintaining sleep logs versus 1-week of maintaining sleep logs alone. Self-reported daily sleep behaviors were documented in sleep logs. Polysomnography was performed on one night when wearing the wearable. PROMIS Sleep disturbance sleep scale was measured at baseline, 7, and 14 days of study participation. Results In 32 participants (21 women; 23.8 + 5 years), wearables improved nighttime sleep quality (PROMIS sleep disturbance; B= -1.69; 95% Confidence Interval -3.11, -0.27; P=0.021) 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=0.023) but total daily sleep remained unchanged (P=0.43). The wearable had low bias (2.5 minutes) and low precision (5.6 minutes) errors for measuring sleep duration and measured dream sleep and slow wave sleep accurately (Intra-class 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 when compared to that measured by electrocardiogram and inductance plethysmography during polysomnography. Conclusion In healthy people, wearables can improve sleep quality and accurately measure sleep and cardiorespiratory variables. Support WHOOP Inc.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e864d5ee58f738e8b8d24381d9f5c7b9 https://doi.org/10.1093/sleep/zsaa056.1203 Zobrazit plný text záznamu