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

Guillaume Deltreil (), Patrick Tardivel, Piotr Graczyk, Mikael Escobar-Bach and Alexis Descatha
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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
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
Mikael Escobar-Bach: CNRS, LAREMA, SFR MATHSTIC, Université d’Angers, 49100 Angers, France
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

IJERPH, 2022, vol. 19, issue 23, 1-11

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.

Keywords: occupational; musculoskeletal; pain; lifecourse; mathematical modeling (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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