Abstract
Recent studies have used mainstream consumer devices (Fitbit) to assess sleep objectively and test the well documented association between sleep and body mass index (BMI). In order to further investigate the applicability of Fitbit data for biomedical research across the globe, we analysed openly available Fitbit data from a largely Chinese population. We found that after adjusting for age, gender, race, and average number of steps taken per day, average hours of sleep per day was negatively associated with BMI (p=0.02), further demonstrating the significant potential for wearables in international scientific research.
Highlights
The association between sleep and body mass index (BMI) is well known[1]
Xu and colleagues[2] showed that shorter sleep duration, as measured by a Fitbit wristband, was associated with a higher average BMI2. These results importantly show the potential value of mainstream consumer devices for scientific research by providing objective sleep and physical activity data
In order to assess the utility of wearables for global research we used data from a recently published study[3] to investigate the relationship between sleep and BMI in a largely Chinese population
Summary
The association between sleep and body mass index (BMI) is well known[1]. Recently Xu and colleagues[2] showed that shorter sleep duration, as measured by a Fitbit wristband, was associated with a higher average BMI2. 1 Eva Corpeleijn, University of Groningen, Groningen, The Netherlands Bonsignore , University of Palermo, Palermo, Italy
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