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How to Use Biomechanical Job Exposure Matrices with Job History to Access Work Exposure for Musculoskeletal Disorders? Application of Mathematical Modeling in Severe Knee Pain in the Constances Cohort

Author

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  • Guillaume Deltreil

    (Univ. Angers, CHU Angers, Univ. Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail)—UMRS 1085, SFR ICAT, 49100 Angers, France
    CNRS, LAREMA, SFR MATHSTIC, Université d’Angers, 49100 Angers, France)

  • Patrick Tardivel

    (UMR 5584 CNRS, Université de Bourgogne Franche-Comté, 21078 Dijon, France)

  • Piotr Graczyk

    (CNRS, LAREMA, SFR MATHSTIC, Université d’Angers, 49100 Angers, France
    These authors contributed equally to this work.)

  • Mikael Escobar-Bach

    (CNRS, LAREMA, SFR MATHSTIC, Université d’Angers, 49100 Angers, France
    These authors contributed equally to this work.)

  • Alexis Descatha

    (Univ. Angers, CHU Angers, Univ. Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail)—UMRS 1085, SFR ICAT, 49100 Angers, France
    Epidemiology and Prevention, Donald and Barbara Zucker School of Medicine, Hofstra University Northwell Health, Hempstead, NY 11549, USA
    CHU Angers, Centre Antipoison—Centre de Données Cliniques, 49000 Angers, France
    These authors contributed equally to this work.)

Abstract

Introduction: Musculoskeletal disorders related to work might be caused by the cumulative effect of occupational exposures during working life. We aimed to develop a new model which allows to compare the accuracy of duration of work and intensity/frequency associations in application to severe knee pain. Methods: From the CONSTANCES cohort, 62,620 subjects who were working at inclusion and coded were included in the study. The biomechanical job exposure matrix “JEM Constances” was used to assess the intensity/frequency of heavy lifting and kneeling/squatting at work together with work history to characterize the association between occupational exposure and severe knee pain. An innovative model G was developed and evaluated, allowing to compare the accuracy of duration of work and intensity/frequency associations. Results: The mean age was 49 years at inception with 46 percent of women. The G model developed was slightly better than regular models. Among the men subgroup, odds ratios of the highest quartile for the duration and low intensity were not significant for both exposures, whereas intensity/duration were for every duration. Results in women were less interpretable. Conclusions: Though higher duration increased strength of association with severe knee pain, intensity/frequency were important predictors among men. Exposure estimation along working history should have emphasis on such parameters, though other outcomes should be studied and have a focus on women.

Suggested Citation

  • Guillaume Deltreil & Patrick Tardivel & Piotr Graczyk & Mikael Escobar-Bach & Alexis Descatha, 2022. "How to Use Biomechanical Job Exposure Matrices with Job History to Access Work Exposure for Musculoskeletal Disorders? Application of Mathematical Modeling in Severe Knee Pain in the Constances Cohort," IJERPH, MDPI, vol. 19(23), pages 1-11, December.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:16217-:d:993066
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    Cited by:

    1. Luther Dogbla & Cédric Gouvenelle & Florence Thorin & François-Xavier Lesage & Marek Zak & Ukadike Chris Ugbolue & Barbara Charbotel & Julien S. Baker & Bruno Pereira & Frédéric Dutheil, 2023. "Occupational Risk Factors by Sectors: An Observational Study of 20,000 Workers," IJERPH, MDPI, vol. 20(4), pages 1-16, February.

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