Thomas Clausen1, Hermann Burr2, Vilhelm Borg3. 1. National Research Centre for the Working Environment, Copenhagen, Denmark tcl@nrcwe.dk. 2. Federal Institute for Occupational Safety and Health (BAuA), Berlin, Germany. 3. National Research Centre for the Working Environment, Copenhagen, Denmark.
Abstract
AIMS: To investigate whether high psychosocial job demands (quantitative demands and work pace) and low psychosocial job resources (influence at work and quality of leadership) predicted risk of disability pensioning among employees in four occupational groups--employees working with customers, employees working with clients, office workers and manual workers--in line with the propositions of the Job Demands-Resources (JD-R) model. METHODS: Survey data from 40,554 individuals were fitted to the DREAM register containing information on payments of disability pension. Using multi-adjusted Cox regression, observations were followed in the DREAM-register to assess risk of disability pensioning. Average follow-up time was 5.9 years (SD=3.0). RESULTS: Low levels of influence at work predicted an increased risk of disability pensioning and medium levels of quantitative demands predicted a decreased risk of disability pensioning in the study population. We found significant interaction effects between job demands and job resources as combinations low quality of leadership and high job demands predicted the highest rate of disability pensioning. Further analyses showed some, but no statistically significant, differences between the four occupational groups in the associations between job demands, job resources and risk of disability pensioning. CONCLUSIONS: The study showed that psychosocial job demands and job resources predicted risk of disability pensioning. The direction of some of the observed associations countered the expectations of the JD-R model and the findings of the present study therefore imply that associations between job demands, job resources and adverse labour market outcomes are more complex than conceptualised in the JD-R model.
AIMS: To investigate whether high psychosocial job demands (quantitative demands and work pace) and low psychosocial job resources (influence at work and quality of leadership) predicted risk of disability pensioning among employees in four occupational groups--employees working with customers, employees working with clients, office workers and manual workers--in line with the propositions of the Job Demands-Resources (JD-R) model. METHODS: Survey data from 40,554 individuals were fitted to the DREAM register containing information on payments of disability pension. Using multi-adjusted Cox regression, observations were followed in the DREAM-register to assess risk of disability pensioning. Average follow-up time was 5.9 years (SD=3.0). RESULTS: Low levels of influence at work predicted an increased risk of disability pensioning and medium levels of quantitative demands predicted a decreased risk of disability pensioning in the study population. We found significant interaction effects between job demands and job resources as combinations low quality of leadership and high job demands predicted the highest rate of disability pensioning. Further analyses showed some, but no statistically significant, differences between the four occupational groups in the associations between job demands, job resources and risk of disability pensioning. CONCLUSIONS: The study showed that psychosocial job demands and job resources predicted risk of disability pensioning. The direction of some of the observed associations countered the expectations of the JD-R model and the findings of the present study therefore imply that associations between job demands, job resources and adverse labour market outcomes are more complex than conceptualised in the JD-R model.
Authors: Thomas Clausen; Paul Maurice Conway; Hermann Burr; Tage S Kristensen; Åse Marie Hansen; Anne Helene Garde; Annie Hogh Journal: Int Arch Occup Environ Health Date: 2019-04-13 Impact factor: 3.015
Authors: Stein Knardahl; Håkon A Johannessen; Tom Sterud; Mikko Härmä; Reiner Rugulies; Jorma Seitsamo; Vilhelm Borg Journal: BMC Public Health Date: 2017-02-08 Impact factor: 3.295
Authors: Stephen A Stansfeld; Ewan Carr; Melanie Smuk; Charlotte Clark; Emily Murray; Nicola Shelton; Jenny Head Journal: PLoS One Date: 2018-04-05 Impact factor: 3.240
Authors: Lars Louis Andersen; Jonas Vinstrup; Ebbe Villadsen; Kenneth Jay; Markus Due Jakobsen Journal: Int J Environ Res Public Health Date: 2019-11-15 Impact factor: 3.390
Authors: Elisabeth Framke; Annemette Coop Svane-Petersen; Anders Holm; Hermann Burr; Maria Melchior; Børge Sivertsen; Stephen Stansfeld; Jeppe Karl Sørensen; Marianna Virtanen; Reiner Rugulies; Ida E H Madsen Journal: Eur J Public Health Date: 2020-12-11 Impact factor: 3.367