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Evaluation of the Validity of Job Exposure Matrix for Psychosocial Factors at Work

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  • Svetlana Solovieva
  • Tiina Pensola
  • Johanna Kausto
  • Rahman Shiri
  • Markku Heliövaara
  • Alex Burdorf
  • Kirsti Husgafvel-Pursiainen
  • Eira Viikari-Juntura

Abstract

Objective: To study the performance of a developed job exposure matrix (JEM) for the assessment of psychosocial factors at work in terms of accuracy, possible misclassification bias and predictive ability to detect known associations with depression and low back pain (LBP). Materials and Methods: We utilized two large population surveys (the Health 2000 Study and the Finnish Work and Health Surveys), one to construct the JEM and another to test matrix performance. In the first study, information on job demands, job control, monotonous work and social support at work was collected via face-to-face interviews. Job strain was operationalized based on job demands and job control using quadrant approach. In the second study, the sensitivity and specificity were estimated applying a Bayesian approach. The magnitude of misclassification error was examined by calculating the biased odds ratios as a function of the sensitivity and specificity of the JEM and fixed true prevalence and odds ratios. Finally, we adjusted for misclassification error the observed associations between JEM measures and selected health outcomes. Results: The matrix showed a good accuracy for job control and job strain, while its performance for other exposures was relatively low. Without correction for exposure misclassification, the JEM was able to detect the association between job strain and depression in men and between monotonous work and LBP in both genders. Conclusions: Our results suggest that JEM more accurately identifies occupations with low control and high strain than those with high demands or low social support. Overall, the present JEM is a useful source of job-level psychosocial exposures in epidemiological studies lacking individual-level exposure information. Furthermore, we showed the applicability of a Bayesian approach in the evaluation of the performance of the JEM in a situation where, in practice, no gold standard of exposure assessment exists.

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  • Svetlana Solovieva & Tiina Pensola & Johanna Kausto & Rahman Shiri & Markku Heliövaara & Alex Burdorf & Kirsti Husgafvel-Pursiainen & Eira Viikari-Juntura, 2014. "Evaluation of the Validity of Job Exposure Matrix for Psychosocial Factors at Work," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-9, September.
    • Handle: RePEc:plo:pone00:0108987
    DOI: 10.1371/journal.pone.0108987
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    References listed on IDEAS

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    3. Svetlana Solovieva & Irmeli Pehkonen & Johanna Kausto & Helena Miranda & Rahman Shiri & Timo Kauppinen & Markku Heliövaara & Alex Burdorf & Kirsti Husgafvel-Pursiainen & Eira Viikari-Juntura, 2012. "Development and Validation of a Job Exposure Matrix for Physical Risk Factors in Low Back Pain," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-7, November.
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    1. Ludovico Carrino & Karen Glaser & Mauricio Avendano, 2020. "Later retirement, job strain, and health: Evidence from the new State Pension age in the United Kingdom," Health Economics, John Wiley & Sons, Ltd., vol. 29(8), pages 891-912, August.
    2. Belloni, Michele & Carrino, Ludovico & Meschi, Elena, 2022. "The impact of working conditions on mental health: Novel evidence from the UK," Labour Economics, Elsevier, vol. 76(C).
    3. Taina Leinonen & Svetlana Solovieva & Kirsti Husgafvel-Pursiainen & Mikko Laaksonen & Eira Viikari-Juntura, 2019. "Do individual and work-related factors differentiate work participation trajectories before and after vocational rehabilitation?," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-19, February.

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