Gender differences in sickness absence--the contribution of occupation and workplace.
OBJECTIVE
The aim of this study was to examine whether differences in male and female occupations and workplaces explain gender differences in self-certified (1-3 days) and medically confirmed sickness absence episodes of various lengths (> or = 4 days, >2 weeks, >60 days). Analyses in the main ICD-10 diagnostic groups were conducted for absence episodes of >2 weeks. Furthermore, we examined whether the contribution of occupation is related to different distributions of female and male jobs across the social class hierarchy.


METHODS
All municipal employees of the City of Helsinki at the beginning of 2004 (N=36 395) were followed-up until the end of 2007. Conditional fixed-effects Poisson regression was used to control for differences between occupations and workplaces.


RESULTS
Controlling for occupation accounted for half of the female excess in self-certified and medically confirmed episodes lasting >60 days. In the intermediate categories, this explained about one third of the female excess. The effect of workplace was similar but weaker. Occupational and workplace differences explained the female excess in sickness absence due to mental and behavioral disorders, musculoskeletal diseases, and respiratory diseases. The effect of occupation was clearly stronger than that of social class in self-certified absence episodes, whereas in medically confirmed sickness absence episodes gender differences were to a large extent related to social class differences between occupations.


CONCLUSIONS
Differences between occupations held by women and men explain a substantial part of the female excess in sickness absence. Mental and behavioral disorders and musculoskeletal diseases substantially contribute to this explanation.
Laaksonen
Mikko
M
Department of Public Health, University of Helsinki, PO Box 41, Helsinki, FIN-00014, Finland. mikko.t.laaksonen@helsinki.fi
Mastekaasa
Arne
A
Martikainen
Pekka
P
Rahkonen
Ossi
O
Piha
Kustaa
K
Lahelma
Eero
E
D000041:Absenteeism; D000293:Adolescent; D000328:Adult; D016001:Confidence Intervals; D004777:Environment; D005260:Female; D005387:Finland / Q000453:epidemiology; D005783:Gender Identity; D006801:Humans; D008297:Male; D008875:Middle Aged; D009784:Occupational Diseases / Q000453:epidemiology* / Q000209:etiology; D016273:Occupational Exposure / Q000009:adverse effects*; D016272:Occupational Health / Q000706:statistics & numerical data*; D011446:Prospective Studies; D012042:Registries; D012306:Risk; D012307:Risk Factors; D012737:Sex Factors; D012923:Social Class; D017132:Workplace; D055815:Young Adult