The Association between Shift Work and Health-Related Productivity Loss due to Either Sickness Absence or Reduced Performance at Work: A Cross-Sectional Study of Korea

Int J Environ Res Public Health. 2020 Nov 16;17(22):8493. doi: 10.3390/ijerph17228493.

Abstract

Background: The purpose of the present study was to investigate the association between shift work and health-related productivity loss (HRPL) due to either sickness absence or reduced performance at work. Methods: From January 2020 to February 2020, data were collected using the web-based questionnaire. Workers in Korea (n = 4197) were selected with the convenience sampling method. To evaluate HRPL, the Korean version of the "Work Productivity and Activity Impairment Questionnaire" was used. The nonparametric association between shift work and HRPL was determined. To estimate productivity loss by shift work, generalised linear models were used, and the productivity loss of workers who did not do shift work was used as the reference. Contrasts between the reference (non-shift work) and shift work, including the shift work subtype, were demonstrated. In the adjusted model, age, gender, and occupation were included as covariates. To test whether there were differences in this association by gender, a gender-stratified analysis was conducted. Results: Shift work significantly reduced productivity (2.5% points; 95% CI: 0.2-4.6). The fixed night shift had the largest productivity loss (7.7% points; 95% CI: 1.8-13.7), and the relationship between HRPL and shift work was more prominent among female workers. Conclusions: Shift work is related to an increase in HRPL, and there are gender differences in this association. Our study further indicated that a fixed night shift is most detrimental to workers' health and productivity.

Keywords: absenteeism; gender difference; presenteeism; productivity loss; shift work.

MeSH terms

  • Absenteeism*
  • Cross-Sectional Studies
  • Efficiency
  • Female
  • Health Behavior
  • Humans
  • Male
  • Republic of Korea
  • Shift Work Schedule* / statistics & numerical data
  • Surveys and Questionnaires
  • Work Performance* / statistics & numerical data