RESEARCH REPORT

Occupational stress and incidence of sick leave in the Belgian workforce: the Belstress study

M Moreau¹, F Valente¹, R Mak², E Pelfrene², P de Smet¹, G De Backer², M Kornitzer¹

¹ Department of Epidemiology and Health Promotion, School of Public Health, Brussels Free University, Belgium
² Vakgroep Maatschappelijke Gezondheidkunde, Universiteit Gent, Belgium

Correspondence to:
Correspondence to:
Dr M Moreau
Department of Epidemiology and Health Promotion, School of Public Health, Université Libre de Bruxelles, Campus Erasme, CP 595, Route de Lennik 808, B-1070 Brussels, Belgium; Michel.Moreau{at}ulb.ac.be

Context: Sick leave is a major problem in public health. The Karasek demands/control/social support/strain (JDCS) model has been largely used to predict a wide range of health outcomes and to a lesser extent sickness absence.

Study objective: The aim of the study was to test the predictive power of the JDCS model in relation with one year incidence of sick leave in a large cohort of workers.

Design and setting: Cohort study conducted between 1994 and 1998 in 25 companies across Belgium.

Participants: A total of 20 463 workers aged 35 to 59 years were followed up for sick leave during one year after the baseline survey.

Outcomes: The outcomes were a high sick leave incidence, short spells (7 days), long spells (28 days), and repetitive spells of sickness absence (3 spells/year).

Main results: Independently from baseline confounding variables, a significant association between high strained jobs with low social support and repetitive spells of sickness absence was observed in both sexes with odds ratios of 1.32 (99% CI, 1.04 to 1.68) in men and 1.61 (99% CI, 1.13 to 2.33) in women. In men, high strained jobs with low social support was also significantly associated with high sick leave incidence, and short spells of sick leave with odds ratios of 1.38 (99% CI, 1.16 to 1.64) and 1.22 (99% CI, 1.05 to 1.44) respectively.

Conclusions: Perceived high strain at work especially combined with low social support is predictive of sick leave in both sexes of a large cohort of the Belgian workforce.

Keywords: job characteristics; job stress; sick leave

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