Insomnia symptoms predict longer COVID-19 symptom duration

Sleep Med. 2023 Jan:101:365-372. doi: 10.1016/j.sleep.2022.11.019. Epub 2022 Nov 23.

Abstract

Objective: /Background: The goal of the present study was to assess the prevalence and incidence of insomnia in the United States during the COVID-19 pandemic, and whether, among those that contracted COVID-19, insomnia predicted worse outcomes (e.g., symptoms of greater frequency, duration, or severity).

Methods: A nationwide sample of 2980 adults living in the United States were surveyed online at two points during the COVID-19 pandemic (T1 = April-June 2020; T2 = January-March 2021). Insomnia symptoms were assessed at both time points using the Insomnia Severity Index (ISI). The T2 survey also asked questions regarding COVID-19 testing and symptoms.

Results: The prevalence of insomnia (defined as ISI ≥15) was 15% at T1 and 13% at T2. The incidence rate of insomnia (i.e., new cases from T1 to T2) was 5.6%. Participants with insomnia were not more likely to contract COVID-19 relative to those participants without insomnia. Among those participants in our sample that contracted the virus during the study interval (n = 149), there were no significant group differences in COVID-19 symptom outcomes, with one exception, participants with insomnia were more likely to report a longer symptom duration (insomnia = 24.8 sick days, no insomnia = 16.1 sick days).

Conclusions: The present study suggests the prevalence of insomnia in the U.S. population remained high during the COVID-19 pandemic. The data also support that insomnia may be related to experiencing more chronic COVID-19 symptoms. These findings have more general implications for the role of sleep and insomnia on immune functioning.

Keywords: COVID-19; Insomnia; Prevalence; Symptoms.

Publication types

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

MeSH terms

  • Adult
  • COVID-19 Testing
  • COVID-19* / epidemiology
  • Humans
  • Pandemics
  • SARS-CoV-2
  • Sleep Initiation and Maintenance Disorders* / epidemiology
  • United States / epidemiology