The evaluation of sleep disturbances for Chinese frontline medical workers under the outbreak of COVID-19

Sleep Med. 2020 Aug:72:1-4. doi: 10.1016/j.sleep.2020.05.023. Epub 2020 May 23.

Abstract

Objective: To evaluate sleep disturbances of Chinese frontline medical workers (FMW) under the outbreak of coronavirus disease 2019 (COVID-19), and make a comparison with non-FMW.

Methods: The medical workers from multiple hospitals in Hubei Province, China, volunteered to participate in this cross-sectional study. An online questionnaire, including Pittsburgh Sleep Quality Index (PSQI), Athens Insomnia Scale (AIS) and Visual Analogue Scale (VAS), was used to evaluate sleep disturbances and mental status. Sleep disturbances were defined as PSQI>6 points or/and AIS>6 points. We compared the scores of PSQI, AIS, anxiety and depression VAS, as well as prevalence of sleep disturbances between FMW and non-FMW.

Results: A total of 1306 subjects (801 FMW and 505 non-FMW) were enrolled. Compared to non-FMW, FMW had significantly higher scores of PSQI (9.3 ± 3.8 vs 7.5 ± 3.7; P < 0.001; Cohen's d = 0.47), AIS (6.9 ± 4.3 vs 5.3 ± 3.8; P < 0.001; Cohen's d = 0.38), anxiety (4.9 ± 2.7 vs 4.3 ± 2.6; P < 0.001; Cohen's d = 0.22) and depression (4.1 ± 2.5 vs 3.6 ± 2.4; P = 0.001; Cohen's d = 0.21), as well as higher prevalence of sleep disturbances according to PSQI > 6 points (78.4% vs 61.0%; relative risk [RR] = 1.29; P < 0.001) and AIS > 6 points (51.7% vs 35.6%; RR = 1.45; P < 0.001).

Conclusion: FMW have higher prevalence of sleep disturbances and worse sleep quality than non-FMW. Further interventions should be administrated for FMW, aiming to maintain their healthy condition and guarantee their professional performance in the battle against COVID-19.

Keywords: COVID-19; Medical workers; Pressure; Sleep disturbances.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Anxiety / epidemiology*
  • Anxiety / psychology
  • Betacoronavirus
  • COVID-19
  • Case-Control Studies
  • China / epidemiology
  • Coronavirus Infections / epidemiology*
  • Cross-Sectional Studies
  • Depression / epidemiology*
  • Depression / psychology
  • Disease Outbreaks
  • Female
  • Health Personnel / psychology
  • Health Personnel / statistics & numerical data*
  • Humans
  • Male
  • Pandemics
  • Pneumonia, Viral / epidemiology*
  • Prevalence
  • SARS-CoV-2
  • Sex Factors
  • Sleep Initiation and Maintenance Disorders / epidemiology*
  • Sleep Initiation and Maintenance Disorders / physiopathology
  • Sleep Initiation and Maintenance Disorders / psychology
  • Sleep Wake Disorders / epidemiology
  • Sleep Wake Disorders / physiopathology
  • Visual Analog Scale