Changes in sleep duration, timing, and variability during the COVID-19 pandemic: Large-scale Fitbit data from 6 major US cities

Sleep Health. 2021 Jun;7(3):303-313. doi: 10.1016/j.sleh.2021.02.008. Epub 2021 Mar 23.

Abstract

The COVID-19 pandemic has resulted in societal-level changes to sleep and other behavioral patterns. Objective data would allow for a greater understanding of sleep-related changes at the population level. About 163,524 active Fitbit users from 6 major US cities contributed data, representing areas particularly hard-hit by the pandemic (Chicago, Houston, Los Angeles, New York, San Francisco, and Miami). Sleep variables extracted include nightly and weekly mean sleep duration and bedtime, and variability (standard deviation) of sleep duration and bedtime. Deviation from similar timeframes in 2018 and 2019 were examined, as were changes in these sleep metrics during the pandemic, relationships to changes in resting heart rate, and changes during re-opening in May and June. Overall, compared to 2019, mean sleep duration in 2020 was higher among nearly all groups, mean sleep phase shifted later for nearly all groups, and mean sleep duration and bedtime variability decreased for nearly all groups (owing to decreased weekday-weekend differences). Over the course of January to April 2020, mean sleep duration increased, mean bedtime shifted later, and mean sleep duration variability decreased. Changes in observed resting heart rate correlated positively with changes in sleep and negatively with activity levels. In later months (May and June), many of these changes started to drift back to historical norms.

Keywords: Coronavirus; Epidemiology; Sleep; Wearables.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Actigraphy / instrumentation*
  • Adolescent
  • Adult
  • Aged
  • COVID-19 / prevention & control*
  • Chicago
  • Female
  • Florida
  • Humans
  • Los Angeles
  • Male
  • Middle Aged
  • New York City
  • Pandemics
  • Physical Distancing*
  • Quarantine*
  • SARS-CoV-2
  • San Francisco
  • Sleep / physiology*
  • Texas
  • Time Factors
  • Urban Population / statistics & numerical data*
  • Young Adult