AI Article Synopsis

  • Recent studies utilized consumer devices like Fitbit to objectively measure sleep and its link to body mass index (BMI).
  • The research analyzed Fitbit data from a primarily Chinese population, considering factors like age, gender, race, and daily activity levels.
  • Results indicated a significant negative relationship between average sleep hours and BMI, highlighting the potential of wearables for global biomedical studies.

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6144946PMC
http://dx.doi.org/10.12688/f1000research.14774.2DOI Listing

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