title: Sickness absence in gender-equal companies: a register study at organizational level.
abstract: BACKGROUND
  The differences in sickness absence between men and women in Sweden have attracted a great deal of interest nationally in the media and among policymakers over a long period. The fact that women have much higher levels of sickness absence has been explained in various ways. These explanations are contextual and one of the theories points to the lack of gender equality as an explanation. In this study, we evaluate the impact of gender equality on health at organizational level. Gender equality is measured by an index ranking companies at organizational level; health is measured as days on sickness benefit.
  
  
  METHODS
  Gender equality was measured using the Organizational Gender Gap Index or OGGI, which is constructed on the basis of six variables accessible in Swedish official registers. Each variable corresponds to a key word illustrating the interim objectives of the "National Plan for Gender Equality", implemented by the Swedish Parliament in 2006. Health is measured by a variable, days on sickness benefit, also accessible in the same registers.
  
  
  RESULTS
  We found significant associations between company gender equality and days on sickness benefit. In gender-equal companies, the risk for days on sickness benefit was 1.7 (95% CI 1.6-1.8) higher than in gender-unequal companies. The differences were greater for men than for women: OR 1.8 (95% CI 1.7-2.0) compared to OR 1.4 (95% CI 1.3-1.5).
  
  
  CONCLUSIONS
  Even though employees at gender-equal companies had more days on sickness benefit, the differences between men and women in this measure were smaller in gender-equal companies. Gender equality appears to alter health patterns, converging the differences between men and women.
authors: Department of Public Health and Clinical Medicine, Centre for Global Health Research, Umeå University, Sweden. ann.sorlin@epiph.umu.se
authors: Ann
authors: A
authors: Sörlin
authors: Ann
authors: A
authors: Ohman
authors: Lars
authors: L
authors: Lindholm
mesh_terms: D000328:Adult; D005260:Female; D006801:Humans; D007221:Industry / Q000145:classification*; D008297:Male; D012042:Registries; D012737:Sex Factors; D018582:Sick Leave / Q000639:trends*; D013548:Sweden