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Sleep and BMI: Do (Fitbit) bands aid?
Author(s) -
Laura McDonald,
Faisal Mehmud,
Sreeram V Ramagopalan
Publication year - 2018
Publication title -
f1000research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.099
H-Index - 60
ISSN - 2046-1402
DOI - 10.12688/f1000research.14774.2
Subject(s) - sleep (system call) , body mass index , medicine , wearable computer , gerontology , population , demography , physical therapy , physiology , environmental health , computer science , sociology , embedded system , operating system
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.

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