Work-related risk factors for lateral epicondylitis and other cause of elbow pain in the working population
Open accessAbstract
BACKGROUND: This study was designed to assess the relationship between work-related combined physical and psychosocial factors and elbow disorders (lateral epicondylitis and non-specific disorders without lateral epicondylitis) in the working population. METHODS: A total of 3,710 workers (58% men) in a French region in 2002-2005 participated in physical examinations by occupational health physicians and assessed their personal factors and work exposure by self-administered questionnaire. Statistical associations between elbow disorders and risks factors were analyzed using multinomial logistic regression. RESULTS: A total of 389 (10.5%) workers had elbow pain without lateral epicondylitis and 90 (2.4%) workers had lateral epicondylitis. Age, body mass index (>25), and low social support (only for men) were significant risks factors. Hard perceived physical exertion combined with elbow flexion/extension (>2 hr/day) and wrist bending (>2 hr/day) was a strong significant risk factor for elbow pain and epicondylitis: among men, adjusted Odds Ratio (ORa) = 2.6 (1.9-3.7) and ORa = 5.6 (2.8-11.3), respectively; among women, ORa = 1.4 (0.9-2.2) and ORa = 2.9 (1.3-6.5). CONCLUSIONS: This study emphasizes the strength of the associations between combined physical exertion and elbow movements and lateral epicondylitis. Certain observed differences in associations with lateral epicondylitis and elbow pain only indicate the need for additional longitudinal studies on different stages of elbow disorders and known risk factors.
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Psychosocial status, lifestyle, and occupational demands are important risk factors for elbow pain.
“Psychosocial status [9,10], lifestyle [11,12], and occupational demands (such as heavy load handling and highly repetitive movements with the wrist/hand) [11,13,14,15,16] are important risk factors.”
From Digital Rehabilitation for Elbow Pain Musculoskeletal Conditions: A Prospective Longitudinal Cohort Study (2022) · cites this paper as [13]
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- Authors
- Herquelot, E., Bodin, J., Roquelaure, Y., Ha, C., Leclerc, A., Goldberg, M., Zins, M., & Descatha, A.
- Affiliations
- Université Nantes Angers Le Mans (FR)
- Institut de Veille Sanitaire (FR)
- Université de Versailles Saint-Quentin-en-Yvelines (FR)
- Corresponding author
- Descatha, Alexis
- Venue
- American Journal of Industrial Medicine
- Publisher
- Wiley
- Published
- 2012-11-13
- Volume
- 56
- Issue
- 4
- Pages
- 400-409
- ISSN
- 0271-3586 (ISSN-L)
- 1097-0274
- OpenAlex
- W2040199198
- Cited by
- 91
- References
- 33
- Citations by year
- 2026: 3 · 2025: 7 · 2024: 9 · 2023: 12 · 2022: 9 · 2021: 8 · 2020: 4 · 2019: 11 · 2018: 8 · 2017: 1 · 2016: 4 · 2015: 5 · 2014: 2 · 2013: 8
- FWCI
- 7.17
- Type
- journal article
- Language
- en
- Open access
- green
- inserm.hal.science
- Licence
- Locations
- American Journal of Industrial Medicine (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion, other-oa)
- Topics
- Social Sciences › Psychology › Social Psychology › Ergonomics and Musculoskeletal Disorders
- Health Sciences › Health Professions › Occupational Therapy › Occupational Health and Safety in Workplaces
- Health Sciences › Medicine › Orthopedics and Sports Medicine › Tendon Structure and Treatment
- Keywords
- lateral epicondylitis, elbow pain, occupational risk factors, psychosocial risk factors, physical exertion, elbow flexion and extension, social support, body mass index, occupational health, working population
- MeSH terms
- Adult, Cross-Sectional Studies, Elbow, Female, France, Humans, Male, Middle Aged, Occupational Diseases, Pain, Surveys and Questionnaires, Cumulative Trauma Disorders, Risk Factors, Tennis Elbow, Prevalence, Logistic Models, Odds Ratio
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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