Dataset Information

Work and family demands: predictors of all-cause sickness absence in the GAZEL cohort.

ABSTRACT: The aim of this study is to assess the impact of combined work and family demands on all-cause sickness absence and to examine variation in this relationship by occupational grade and gender.The study sample consists of 13,179 employees of Electricité de France-Gaz de France (EDF-GDF) who were members of the GAZEL occupational cohort in 1995. Combined work and family demands are assessed based on measures of job strain and number of dependants assessed at baseline (1995). Covariates include occupational grade and demographic, behavioural and social variables assessed at baseline. Ratios of sickness absence days to total person-days contributed by each employee were established from administrative data between baseline and the end of follow-up in 2003. Rate ratios across levels of work-family demands were then calculated. Effect modification by gender and grade of employment was tested.In fully adjusted models, individuals with the highest work-family demands had a rate ratio of sickness absence of 1.78 (95% CI 1.47-2.14) compared with low-demand workers. This association was independent of occupational grade and did not vary with gender. Results were not attributable solely to psychiatric sickness absences.High work-family demands at baseline predict long-term all-cause sickness absence across a socio-economically diverse occupational cohort.

SUBMITTER: Sabbath EL

PROVIDER: S-EPMC3265751 | biostudies-literature | 2012 Feb

REPOSITORIES: biostudies-literature

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Work and family demands: predictors of all-cause sickness absence in the GAZEL cohort.

Sabbath Erika L EL Melchior Maria M Goldberg Marcel M Zins Marie M Berkman Lisa F LF

European journal of public health 20110509 1

<h4>Background</h4>The aim of this study is to assess the impact of combined work and family demands on all-cause sickness absence and to examine variation in this relationship by occupational grade and gender.<h4>Methods</h4>The study sample consists of 13,179 employees of Electricité de France-Gaz de France (EDF-GDF) who were members of the GAZEL occupational cohort in 1995. Combined work and family demands are assessed based on measures of job strain and number of dependants assessed at basel ...[more]

PMID: 21558153

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Project description:BackgroundLong-term sickness absence results in increased risks of permanent disability and a compromised quality of life. Return to work is an important factor in reducing these risks. Little is known about return to work factors for long-term sick-listed workers with subjective health complaints. The aim of this study was to evaluate prognostic factors for partial or full return to a paid job for at least 28 days for long-term sick-listed workers with subjective health complaints, and to compare these factors with those of workers with other disorders.MethodsData from a prospective cohort study of 213 participants with subjective health complaints and 1.037 reference participants were used. The participants answered a questionnaire after 84 weeks of sickness absence. Return to work was measured after one and two years. Univariable logistic regression analyses were performed (P ≤ 0.157) for variables per domain with return to work (i.e. demographic, socio-economic and work-related, health-related, and self-perceived ability). Subsequently, multivariable logistic regression analyses with backward selection (P ≤ 0.157) were performed. Remaining factors were combined in a multivariable and final model (P ≤ 0.05).ResultsBoth for workers with subjective health complaints and for the reference group, non-health-related factors remained statistically significant in the final model. This included receiving a partial or complete work disability benefit (partial: OR 0.62, 95% CI 0.26-1.47 and OR 0.69, 95% CI 0.43-1.12; complete: OR 0.24, 95% CI 0.10-0.58 and OR 0.12, 95% CI 0.07-0.20) and having a positive self-perceived possibility for return to work (OR 1.06, 95% CI 1.01-1.11 and OR 1.08, 95% CI 1.05-1.11).ConclusionsNon-health-related factors seem to be more important than health-related factors in predicting return to work after long-term sickness absence. Receiving a work disability benefit and having negative expectations for return to work seem to complicate return to work most for workers with subjective health complaints. With respect to return to work predictors, workers with subjective health complaints do not differ from the reference group.

Dataset Information

Work and family demands: predictors of all-cause sickness absence in the GAZEL cohort.

Publications

Work and family demands: predictors of all-cause sickness absence in the GAZEL cohort.

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