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Research Letter
September 14, 2020

Association of Sleep Duration and Variability With Body Mass Index: Sleep Measurements in a Large US Population of Wearable Sensor Users

Author Affiliations
  • 1Scripps Research Translational Institute, La Jolla, California
  • 2Department of Internal Medicine, Scripps Clinic, La Jolla, California
  • 3Division of Pulmonary, Critical Care & Sleep Medicine, University of California, San Diego, La Jolla
JAMA Intern Med. Published online September 14, 2020. doi:10.1001/jamainternmed.2020.2834

Inadequate sleep has been linked to negative health outcomes, including obesity, coronary artery disease, hypertension, type 2 diabetes, and even incident pneumonia.1 Most population-level sleep data are limited by recall bias, cross-sectional nature, and lack of detail regarding sleep habits over months to years. The recent increased uptake of wearable sensors (also known as activity trackers) has made such longitudinal data increasingly obtainable with digital devices that offer unobtrusive monitoring of multiple health parameters, including sleep. Here we describe longitudinal sleep characteristics in more than 120 000 individuals with up to 2 years of monitored sleep duration data. We examined the hypothesis that shorter sleep duration (hours slept at night) and greater day-to-day variability of sleep duration (standard deviation of hours slept at night) are associated with increased body mass index (BMI).1,2

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