Affiliation:
1. Univ Angers, CHU Angers, Univ Rennes, EHESP, Irset (Institut de recherche en santé, IRSET-ESTER, SFR ICAT, CAPTV CDC
2. Washington University School of Medicine in St. Louis
3. Unité "Cohortes en Population" UMS 011 Inserm, Université de Paris
Abstract
Abstract
Purpose
Musculoskeletal disorders (MSDs) are common worldwide and gender differences exist in terms of prevalence and disability. MSDs are a leading cause of sick leave and physical work exposures.To assess the association between physical exposures assessed by the gender-specific CONSTANCES Job Exposure Matrix (JEM) and musculoskeletal pain in six areas: neck pain, shoulder pain, elbow/arm pain, hand/wrist pain, low back pain, knee/leg pain; and to compare the results with those obtained using the non-gendered CONSTANCES JEM and with individual self-report exposures.
Methods
We included 48,736 male and 63,326 female workers from the CONSTANCES cohort (France). The association between 27 physical exposures and musculoskeletal self-reported pain in six body areas was assessed using logistic regression. We conducted the analysis with three types of exposures: (1) individual self-reported exposures; (2) gender-specific CONSTANCES JEM; (3) non-gendered CONSTANCES JEM, and adjusted for age and Body Mass Index (BMI). Analyses were stratified by gender.
Results
The associations to the gender-specific and non-gendered JEM were similar. The odds ratios using individual self-reported exposures were comparable to the JEM-based associations, with the exceptions of the exposures ‘change tasks’, ‘rest eyes’ and ‘reach behind’. In some comparisons, there were differences in the direction and/or significance of effects between genders (regardless of whether the JEM used was gender-specific or not).
Conclusion
The gender-specific and non-gendered JEMs gave similar results, hence, developing physical work exposures JEMs that are gender-specific may not be essential. However, when predicting musculoskeletal pain, it seems relevant to stratify the analysis by gender.
Publisher
Research Square Platform LLC
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