期刊
JOURNAL OF MEDICAL INTERNET RESEARCH
卷 19, 期 10, 页码 -出版社
JMIR PUBLICATIONS, INC
DOI: 10.2196/jmir.7930
关键词
connected devices; sleep; Withings; Nokia; determinants; Internet of Things; epidemiology; wearables; lifestyle; blood pressure; steps; heart rate; weight
资金
- Institut Thematique Multi-Organisme Sante Publique
- Institut National de la Sante et de la Recherche Medicale
- French National Cancer Institute
- World Cancer Research Fund
- Cardiovasculaire, Obesite, Rein, DiabeteNetwork in Ile de France
- Agence Nationale de Recherche [ANR-10-COHO-0006]
- Nokia
- Agence Nationale de la Recherche (ANR) [ANR-10-COHO-0006] Funding Source: Agence Nationale de la Recherche (ANR)
Background: Sleep is a modifiable lifestyle factor that can be a target for efficient intervention studies to improve the quality of life and decrease the risk or burden of some chronic conditions. Knowing the profiles of individuals with poor sleep patterns is therefore a prerequisite. Wearable devices have recently opened new areas in medical research as potential efficient tools to measure lifestyle factors such as sleep quantity and quality. Objectives: The goal of our research is to identify the determinants of poor sleep based on data from a large population of users of connected devices. Methods: We analyzed data from 15,839 individuals (13,658 males and 2181 females) considered highly connected customers having purchased and used at least 3 connected devices from the consumer electronics company Withings (now Nokia). Total and deep sleep durations as well as the ratio of deep/total sleep as a proxy of sleep quality were analyzed in association with available data on age, sex, weight, heart rate, steps, and diastolic and systolic blood pressures. Results: With respect to the deep/total sleep duration ratio used as a proxy of sleep quality, we have observed that those at risk of having a poor ratio (<= 0.40) were more frequently males (odds ratio [OR](female vs male)=0.45, 95% CI 0.38-0.54), younger individuals (OR> 60 years vs 18-30 years=0.47, 95% CI 0.35-0.63), and those with elevated heart rate (OR> 78 bpm vs <= 61 bpm=1.18, 95% CI 1.04-1.34) and high systolic blood pressure (OR>133 mm Hg vs <= 116 mm Hg=1.22, 95% CI 1.04-1.43). A direct association with weight was observed for total sleep duration exclusively. Conclusions: Wearables can provide useful information to target individuals at risk of poor sleep. Future alert or mobile phone notification systems based on poor sleep determinants measured with wearables could be tested in intervention studies to evaluate the benefits.
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