Insomnia, Poor Sleep Quality and Sleep Duration, and Risk for COVID-19 Infection and Hospitalization

Details

• Personal Author:
  Barger LK ; Booker LA ; Czeisler MÉ ; Czeisler, Charles A. ; Howard ME ; Jackson ML ; Lane RI ; McDonald CF ; Quan SF ; Rajaratnam SMW ; Ridgers A ; Robbins R ; Varma P ; Weaver MD ; Wiley JF
• Description:
  Background: Medical comorbidities increase the risk of severe acute COVID-19 illness. Although sleep problems are common after COVID-19 infection, it is unclear whether insomnia, poor sleep quality, and extremely long or short sleep increase risk of developing COVID-19 infection or hospitalization. Methods: The study used a cross-sectional survey of a diverse sample of 19,926 US adults. Results: COVID-19 infection and hospitalization prevalence rates were 40.1% and 2.9%, respectively. Insomnia and poor sleep quality were reported in 19.8% and 40.1%, respectively. In logistic regression models adjusted for comorbid medical conditions and sleep duration but excluding participants who reported COVID-19-associated sleep problems, poor sleep quality, but not insomnia, was associated with COVID-19 infection (adjusted odds ratio [aOR] 1.16; 95% CI, 1.07-1.26) and COVID-19 hospitalization (aOR 1.50; 95% CI, 1.18-1.91). In comparison with habitual sleep duration of 7-8 hours, sleep durations <7 hours (aOR 1.14; 95% CI, 1.06-1.23) and sleep duration of 12 hours (aOR 1.61; 95% CI, 1.12-2.31) were associated with increased odds of COVID-19 infection. Overall, the relationship between COVID-19 infection and hours of sleep followed a quadratic (U-shaped) pattern. No association between sleep duration and COVID-19 hospitalization was observed. Conclusion: In a general population sample, poor sleep quality and extremes of sleep duration are associated with greater odds of having had a COVID-19 infection; poor sleep quality was associated with an increased requirement of hospitalization for severe COVID-19 illness. These observations suggest that inclusion of healthy sleep practices in public health messaging may reduce the impact of the COVID-19 pandemic. [Description provided by NIOSH]
• Subjects:
  Communicable Diseases Epidemiology Occupational Health Safety Sleep
• Keywords:
  Author Keywords: COVID-19 COVID-19 Cross Sectional Studies Disease Incidence Hospitalization Infection Infectious Diseases Insomnia Poor Sleep Quality Sleep Duration
• ISSN:
  0002-9343
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  Massachusetts ; OSHA Region 1
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  136
• Issue:
  8
• NIOSHTIC Number:
  nn:20067713
• Citation:
  Am J Med 2023 Aug; 136(8):780-788.e5
• Contact Point Address:
  Stuart F. Quan, MD, Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, 221 Longwood Ave., Boston, MA 02115
• Email:
  Stuart_Quan@hms.harvard.edu
• Federal Fiscal Year:
  2023
• Performing Organization:
  Brigham and Women's Hospital, Boston, Massachusetts
• Peer Reviewed:
  True
• Start Date:
  20190901
• Source Full Name:
  The American Journal of Medicine
• End Date:
  20230831
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:c38d113ba5ba30377b196165b4f8a2da4582c5951ea9d69fcac8a4685489cb067685d17f1c2db1cbb9c75a8ea7a0cdb3a0fdad0bbecb7fbac025bc56cacff548
• Download URL:
  https://stacks.cdc.gov/view/cdc/229976/cdc_229976_DS1.pdf
• File Type:
  [PDF - 366.75 KB ]