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Proportion and Number of Upper-Extremity Musculoskeletal Disorders Attributable to the Combined Effect of Biomechanical and Psychosocial Risk Factors in a Working Population

Author

Listed:
  • Aboubakari Nambiema

    (Univ Angers, CHU Angers, Univ Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail)—UMR_S 1085, F-49000 Angers, France)

  • Julie Bodin

    (Univ Angers, CHU Angers, Univ Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail)—UMR_S 1085, F-49000 Angers, France)

  • Susan Stock

    (INSPQ—Institut National de Santé Publique du Québec, Montréal, QC H2P 1E2, Canada
    Department of Social & Preventive Medicine, University of Montréal, Montréal, QC H3N 1X9, Canada)

  • Agnès Aublet-Cuvelier

    (INRS, Département Homme au Travail, 1 rue du Morvan CS60027, 54519 Vandœuvre, France)

  • Alexis Descatha

    (Univ Angers, CHU Angers, Univ Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail)—UMR_S 1085, F-49000 Angers, France
    Inserm, UMS 011, Unité Cohortes Epidémiologiques en Population, 94807 Villejuif, France
    CHU Angers, Poisoning Control Center, F-49000 Angers, France)

  • Bradley Evanoff

    (Division of General Medical Sciences, Washington University School of Medicine, St. Louis, MO 63310, USA)

  • Yves Roquelaure

    (Univ Angers, CHU Angers, Univ Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail)—UMR_S 1085, F-49000 Angers, France)

Abstract

The objective of this paper is to assess the combined effect of occupational biomechanical and psychosocial risk factors on the incidence of work-related upper-extremity musculoskeletal disorders (UEMSDs) and estimate the proportion and number of incident cases attributable to these risk factors in a working population. Using data from the French COSALI (COhorte des SAlariés LIgériens) cohort (enrolment phase: 2002–2005; follow-up phase: 2007–2010), a complete case analysis including 1246 workers (59% men, mean age: 38 years ± 8.6 at baseline) was performed. All participants underwent a standardized clinical examination at enrolment and 1611 workers were re-examined at follow-up. Population attributable fractions and the number of UEMSD cases attributable to occupational risk factors were calculated. During follow-up, 139 UEMSD cases were diagnosed, representing an estimated 129,320 projected incident UEMSD cases in the working population. After adjusting for personal factors, in model 1, 8664 cases (6.7%) were attributable to low social support, 19,010 (14.7%) to high physical exertion, and 20,443 (15.8%) to co-exposure to both factors. In model 2, 16,294 (12.6%) cases were attributable to low social support, 6983 (5.4%) to posture with arms above shoulder level, and 5043 (3.9%) to co-exposure to both factors. Our findings suggest that many cases of UEMSD could be potentially prevented by multidimensional interventions aimed at reducing exposure to high physical exertion and improving social support at work.

Suggested Citation

  • Aboubakari Nambiema & Julie Bodin & Susan Stock & Agnès Aublet-Cuvelier & Alexis Descatha & Bradley Evanoff & Yves Roquelaure, 2021. "Proportion and Number of Upper-Extremity Musculoskeletal Disorders Attributable to the Combined Effect of Biomechanical and Psychosocial Risk Factors in a Working Population," IJERPH, MDPI, vol. 18(8), pages 1-8, April.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:8:p:3858-:d:531370
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