Factors associated with insomnia among Chinese front-line nurses fighting against COVID-19 in Wuhan: A cross-sectional survey

J Nurs Manag. 2020 Oct;28(7):1525-1535. doi: 10.1111/jonm.13094. Epub 2020 Aug 19.

Abstract

Aim: To investigate the prevalence of insomnia among front-line nurses fighting against COVID-19 in Wuhan, China, and analyse its influencing factors.

Background: Insomnia is an important factor that can affect the health and work quality of nurses. However, there is a lack of big-sample studies exploring factors that affect the insomnia of nurses fighting against COVID-19.

Method: This cross-sectional study using the Ascension Insomnia Scale, Fatigue Scale-14 and Perceived Stress Scale took place in March 2020. Participants were 1,794 front-line nurses from four tertiary-level general hospitals.

Results: The prevalence of insomnia among participants was 52.8%. Insomnia was predicted by gender, working experience, chronic diseases, midday nap duration, direct participation in the rescue of patients with COVID-19, frequency of night shifts, professional psychological assistance during the pandemic, negative experiences (such as family, friends or colleagues being seriously ill or dying due to COVID-19), the degree of fear of COVID-19, fatigue and perceived stress.

Conclusion: The level of insomnia among participants was higher than the normal level. Interventions based on influencing factors should be implemented to ensure nurses' sleep quality.

Implications for nursing management: An in-depth understanding of the influencing factors of insomnia among front-line nurses can help nurse managers develop solutions to improve front-line nurses' sleep quality, which will enhance the physical and mental conditions of nurses and promote the quality of care.

Keywords: COVID-19; China; front-line nurses; influencing factors; insomnia.

MeSH terms

  • Adult
  • Age Factors
  • COVID-19 / epidemiology
  • COVID-19 / nursing*
  • China / epidemiology
  • Cross-Sectional Studies
  • Female
  • Humans
  • Male
  • Middle Aged
  • Nurses / psychology
  • Nurses / statistics & numerical data*
  • Occupational Diseases / epidemiology*
  • Occupational Stress / epidemiology
  • Occupational Stress / psychology
  • Prevalence
  • Sex Factors
  • Sleep Initiation and Maintenance Disorders / epidemiology*
  • Young Adult