1013 Population Study Of Sleep Duration And Quality Using Data From Commercially Available Wearable Ring. (12th April 2019)

• Record Type: Journal Article
• Authors: Koskimaki, Heli; Kinnunen, Hannu; Kurppa, Teemu
• Is Part Of: Sleep. Volume 42(2019)Supplement 1
• Page Start: A407
• Page End: A408
• Publication Date: 2019-04-12
• Subjects: Sleep -- Physiological aspects -- Periodicals; Sleep disorders -- Periodicals; Sommeil -- Aspect physiologique -- Périodiques; Sommeil, Troubles du -- Périodiques; Sleep disorders; Sleep -- Physiological aspects; Sleep -- physiological aspects; Sleep Wake Disorders; Psychophysiology; Electronic journals; Periodicals; 616.8498
• DOI: 10.1093/sleep/zsz067.1010
• Languages: English
• ISSNs: 0161-8105

Abstract

Abstract: Introduction: Sleep is one of the main pillars of our health and wellbeing. Both short and long duration of sleep has been associated with obesity, diabetes, hypertension and cardiovascular diseases and even with greater risk of death. Nevertheless, the duration of the sleep is not the only quantity affecting the perceived quality of sleep but it can be divided into dimensions of quantity, continuity and timing. While continuity and timing are not well studied possibly due the difficulty of assessing them with questionnaires, the recent development of wearable and environmental sleep trackers can enable more versatile analysis of all these three dimensions. Thus, in this study sleep duration as well as the role of sleep consistency as contributor of sleep quality, are assessed in real-life settings. Methods: The data set consists of sleep data from the first Oura ring users where the studied metrics included overall sleep duration, long-term consistency vs sleep efficiency, and long-term consistency vs total sleep. To be included into this population a user needed at least 10 recorded nights available constituting a population of 9333 persons and including approximately 1.8 million nights. Results: 50% of the population slept, on average, less than 7.0 hours per night. Moreover, lack of long-term sleep consistency was found to correlate with shorter sleep duration and lower sleep efficiency. Conclusion: It was shown that wearable Oura ring can be utilized in large population studies to reveal facts related to sleep duration. The link between the consistency of sleep timing could be studied. On average, half of the Oura users were observed to accumulate insufficient amount of sleep compared to NSF recommendations. Moreover, lack of consistency in sleep timing was found to correlate with shorter sleep duration and lower sleep efficiency. We therefore conclude that further experimentation to explore the potential of the Oura ring for tracking human sleep in large scale studies is justified. Support (If Any): This work was supported by Oura Health Ltd.