Epidemiology of Japanese sleep habits based on bodily acceleration big-data: aging, gender, and biometeorological effects

Abstract

Recent development of sleep monitoring technologies, such as wearable sleep trackers, and the pervasive of sleep monitoring services using them enable us to obtain continuous and large-scale sleep data in our daily life. Beyond the measurement in conventional laboratory environments, analyses of habitual sleep big-data provide sleep epidemiological findings with ecological validity. Recently, we obtained objective epidemiological findings on habitual sleep of Japanese residents using a large-scale trunk acceleration database (approximately 80,000 individuals, 24-hour data including sleep periods) collected from all over Japan. In this presentation, we report our findings, especially, effects of aging, gender, and biometeorological factors on habitual sleep.