Factors Affecting Fatigue among Nurses during the COVID-19 Pandemic

Int J Environ Res Public Health. 2022 Sep 9;19(18):11380. doi: 10.3390/ijerph191811380.

Abstract

This study identified clinical nurses' fatigue and related factors during the COVID-19 pandemic. This was a cross-sectional study. Data were collected from South Korean hospitals on 234 nurses' general characteristics, fatigue, depression, occupational stress, insomnia, and perceived daytime sleepiness using a structured questionnaire. The prevalence of fatigue was 62.0%, depression 52.1%, insomnia 20.7%, and daytime sleepiness 36.1%. Insomnia, sleepiness, depression, and occupational stress were significantly associated with fatigue. Ward nurses who cared for COVID-19 patients within the past month had significantly higher occupational stress related to organizational climate than those who had not provided care, and ICU nurses who cared for COVID-19 patients had significantly higher job insecurity-related occupational stress. Nurses have a high prevalence of fatigue and depression during the pandemic. Thus, insomnia, sleepiness, depression, and occupational stress must be reduced to lower nurses' fatigue. Caring for COVID-19 patients was not significantly associated with fatigue, but there were significant differences in occupational stress between nurses who provided such care and those who did not. Work environment-specific strategies are needed to reduce nurses' occupational stress during the pandemic.

Keywords: COVID-19; depression; fatigue; nurses; stress.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • COVID-19* / epidemiology
  • Cross-Sectional Studies
  • Disorders of Excessive Somnolence* / epidemiology
  • Fatigue / epidemiology
  • Fatigue / etiology
  • Humans
  • Nurses*
  • Occupational Stress* / epidemiology
  • Pandemics
  • Sleep Initiation and Maintenance Disorders* / epidemiology
  • Sleepiness
  • Surveys and Questionnaires

Grants and funding

This research was funded by the National Research Foundation of Korea, Project #: NRF-2017R1C1B5076726.