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

Stuti J Jaiswal; Giorgio Quer; Michael Galarnyk; Steven R Steinhubl; Eric J Topol; Robert L Owens

doi:10.1001/jamainternmed.2020.2834

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

JAMA Intern Med. 2020 Dec 1;180(12):1694-1696. doi: 10.1001/jamainternmed.2020.2834.

Authors

Stuti J Jaiswal^{1

2}, Giorgio Quer¹, Michael Galarnyk¹, Steven R Steinhubl¹, Eric J Topol¹, Robert L Owens³

Affiliations

¹ Scripps Research Translational Institute, La Jolla, California.
² Department of Internal Medicine, Scripps Clinic, La Jolla, California.
³ Division of Pulmonary, Critical Care & Sleep Medicine, University of California, San Diego, La Jolla.

Abstract

This cohort study examines sleep and demographic data from wearable activity tracking devices to assess for an association of sleep duration and variability with body mass index.

Publication types

Research Support, N.I.H., Extramural

MeSH terms

Adult
Body Mass Index
Cohort Studies
Female
Humans
Male
Obesity / epidemiology*
Sleep Wake Disorders / complications*
Sleep Wake Disorders / diagnosis
United States
Wearable Electronic Devices