Gender difference in sickness absence from work: a multiple mediation analysis of psychosocial factors

Eur J Public Health. 2013 Aug;23(4):635-42. doi: 10.1093/eurpub/cks183. Epub 2013 Jan 8.

Abstract

Background: Previous research has shown that job characteristics, private life and psychosocial factors partially account for gender difference in work absences because of sickness. Most studies have analysed these factors separately. The aim of the present study was to evaluate whether these explanatory factors act as mediators when they are considered simultaneously.

Methods: The evaluated data set comprises the merger of two Belgian longitudinal studies, BELSTRESS III and SOMSTRESS. It includes 3821 workers (1541 men) aged 21-66 years, employed in eight organizations. A multiple mediation analysis was performed to explain the higher prevalence among women. Estimated factors were occupational grade, total number of paid working hours per week, job strain, overcommitment, home-work interference and social support at and outside work. Prospective data concerning duration and frequency of medically justified sickness absence (registered by the organizations) were used as outcomes.

Results: Overall, the mediating factors partially account for gender difference in sickness absence. The strongest mediator for both outcomes is job strain. In addition, difference in absence duration is mediated by social support at work, whereas difference in frequency is mediated by professional grade and home-work interference.

Conclusions: Our results call attention to the necessity to elaborate actual preventive actions aiming at favouring a better positioning of women on the labour market in term of hierarchical level as well as in terms of quality of work for reducing sickness absence in this group.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Female
  • Humans
  • Male
  • Middle Aged
  • Occupational Diseases / epidemiology
  • Occupational Diseases / psychology*
  • Risk Factors
  • Sex Factors*
  • Sick Leave / trends*
  • Social Support
  • Stress, Psychological / complications*
  • Workload
  • Young Adult