Exploring the Associated Factors of Depression, Anxiety, and Stress among Healthcare Shift Workers during the COVID-19 Pandemic

Int J Environ Res Public Health. 2022 Aug 1;19(15):9420. doi: 10.3390/ijerph19159420.

Abstract

Background: The recent pandemic of COVID-19 has had a tremendous impact on healthcare frontliners. This study sought to assess healthcare shift workers' depression, anxiety, and stress and its associated factors.

Methods: The sampling frame includes healthcare shift workers directly managing COVID-19 cases around Klang Valley, Malaysia. The participants' mental health status was assessed using the Depression, Anxiety, Stress Scale-21 (DASS-21). The associated factors specified in this study include sleep quality, physical activities, and eating habits. Pearson's χ2 and simple and multivariable binary logistic regression models were constructed following the Hosmer-Lemeshow approach to determine the potential associated factors.

Results: A total of 413 participants were recruited. Overall, 40.7% of participants had one or more symptoms of depression, anxiety, or stress. Poor sleep quality was significantly associated with all mental health outcomes of depression, anxiety, and stress. Inactivity was found to be strongly associated with symptoms of depression and anxiety. At the same time, eating habits were strongly associated with anxiety and stress.

Conclusions: Sleep quality, inactivity, and eating habits that were found to be associated with the mental health status of healthcare shift workers are modifiable factors that must be addressed to curb mental health issues among this group of workers.

Keywords: COVID-19; eating habits; physical activity; psychosocial; shift workers.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Anxiety / epidemiology
  • Anxiety / psychology
  • COVID-19* / epidemiology
  • Delivery of Health Care
  • Depression / epidemiology
  • Health Personnel / psychology
  • Humans
  • Mental Health
  • Pandemics
  • SARS-CoV-2

Grants and funding

This research was funded by the Ministry of Higher Education via the Fundamental Research Grant Scheme (FRGS grant code FRGS/1/2019/SS05/USIM/02/3).