ArticleBMC public health2020
Proportion of upper extremity musculoskeletal disorders attributable to personal and occupational factors: results from the French Pays de la Loire study.
Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 23 citations in OpenAlex.
- Article
- Predictive Utility of the Functional Movement Screen and Y-Balance Test: Current Evidence and Future Directions.Sports (Basel, Switzerland) · 2025Review
- ECHO OEM virtual community of learning for primary care.Occupational medicine (Oxford, England) · 2024Observational
- Repetitive and forceful movements of the hand as predictors of treatment for pain in the distal upper extremities.Occupational and environmental medicine · 2022Article
- Population attributable fraction of indicators for musculoskeletal diseases: a cross-sectional study of fishers in Korea.Annals of occupational and environmental medicine · 2022Article
- Upper-extremity musculoskeletal disorders: how many cases can be prevented? Estimates from the COSALI cohort.Scandinavian journal of work, environment & health · 2020Article
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Authors and funding
8 authors at 5 institutions in 2 countries.
Funding
Abstract
backgroundUpper extremity musculoskeletal disorders (UEMSD) are one of the most common and costly occupational health problems. We aimed to assess the population-attributable fraction (PAF) of personal and occupational risk factors associated with incident UEMSD in a working population.
methodsFrom 2002 to 2005, a random sample of 3710 workers from the Pays de la Loire region in France, aged 20-59 were included by occupational physicians (OPs). Between 2007 and 2010, 1611 workers were re-examined by their OPs. Subjects free from UEMSD at baseline were included in this study (1275 workers, mean age: 38.2 years). Cox regression models with equal follow-up time and robust variance estimates were used to estimate age-adjusted and multivariable-adjusted relative risks (RRs) and their 95% confidence intervals (CIs). Based on multivariable models, PAF associated with each factor included in the models was estimated.
resultsDuring the follow-up period, 143 (11%) cases of UEMSD were diagnosed. PAFs for factors associated with the incident UEMSD risk were 30% (7 to 51) for high physical exertion (RPE Borg scale ≥12), 12% (- 0.2 to 24) for low social support, 7% (- 3 to 17) for working with arms above shoulder level (≥2 h/day), 20% (12 to 28) for age group ≥45, 13% (3 to 22) for the age group 35-44, and 12% (0.3 to 24) for female gender.
conclusionsOur study suggests that an important fraction of UEMSD can be attributed to occupational exposures after the contributions of personal and other work-related factors are considered. In terms of public health, our findings are in agreement with the ergonomic literature postulating that a high proportion of UEMSD are preventable through modifying workplace risk factors. Such information is useful to help public health practitioners and policy makers implement programs of prevention of UEMSD in the working population.
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