ArticleInternational archives of occupational and environmental health2013
A one-item workability measure mediates work demands, individual resources and health in the prediction of sickness absence.
Article in International archives of occupational and environmental health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- A participatory physical and psychosocial intervention for balancing the demands and resources among industrial workers (PIPPI): study protocol of a cluster-randomized controlled trial.BMC public health · 2015Trial
- Quality of life and associated factors 1 year after road traffic injuries in Ethiopia.Journal of public health research · 2026Article
- Persistent obstacles for return to work after COVID-19 infection - an explorative follow-up study in Sweden.Frontiers in rehabilitation sciences · 2025Article
- Work ability and anthropometric indices correlate with cardiovascular risk factors in public sector employees: Cross-sectional study.Health science reports · 2023Article
- A longitudinal perspective on the interplay of job demands and destructive leadership on employees' work ability in Germany.International archives of occupational and environmental health · 2023Article
- Physiological State Evaluation in Working Environment Using Expert System and Random Forest Machine Learning Algorithm.Healthcare (Basel, Switzerland) · 2023Article
- Associations between perceived quantitative work demands at different organisational levels and pain and sickness absence in eldercare workers: a multi-level longitudinal analysis.International archives of occupational and environmental health · 2022Article
- Validation of Short Measures of Work Ability for Research and Employee Surveys.International journal of environmental research and public health · 2019Article
- Perceived health and work-environment related problems and associated subjective production loss in an academic population.BMC public health · 2018Article
- A prospective study on self-assessed mental well-being and work capacity as determinants of all-cause sickness absence.Journal of occupational rehabilitation · 2015Article
- The predictive value of mental health for long-term sickness absence: the Major Depression Inventory (MDI) and the Mental Health Inventory (MHI-5) compared.BMC medical research methodology · 2013Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThe study tested the hypothesis that a one-item workability measure represented an assessment of the fit between resources (the individuals' physical and mental health and functioning) and workplace demands and that this resource/demand fit was a mediator in the prediction of sickness absence. We also estimated the relative importance of health and work environment for workability and sickness absence.
methodsBaseline data were collected within a Danish work and health survey (3,214 men and 3,529 women) and followed up in a register of sickness absence. Probit regression analysis with workability as mediator was performed for a binary outcome of sickness absence. The predictors in the analysis were as follows: age, social class, physical health, mental health, number of diagnoses, ergonomic exposures, occupational noise, exposure to risks, social support from supervisor, job control and quantitative demands.
resultsHigh age, poor health and ergonomic exposures were associated with low workability and mediated by workability to sickness absence for both genders. Low social class and low quantitative demands were associated with low workability and mediated to sickness absence among men. The mediated part was from 11 to 63 % of the total effect for the significant predictors.
conclusionWorkability mediated health, age, social class and ergonomic exposures in the prediction of sickness absence. The health predictors had the highest association with both workability and sickness absence; physical work environment was higher associated with the outcomes than psychosocial work environment. However, the explanatory value of the predictors for the variance in the model was low.
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