Quantitative Measures of Physical Risk Factors Associated with Work-Related Musculoskeletal Disorders of the Elbow: A Systematic Review
Open accessAbstract
Background: Work-related musculoskeletal disorders at the elbow are a common health problem, which highly impacts workers’ well-being and performance. Besides existing qualitative information, there is a clear lack of quantitative information of physical risk factors associated with specific disorders at the elbow (SDEs). Objective: To provide evidence-based quantitative measures of physical risk factors associated with SDEs. Methods: Studies were searched from 2007 to 2017 in Medline, EMBASE, and Cochrane Work. The identified risk factors were grouped in main- and sub-categories of exposure using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) framework for rating evidence. Results: 133 different risk-factor specifications were identified in 10/524 articles and were grouped into 5 main- and 16 sub-categories of exposure. The risk factors were significantly associated with lateral epicondylitis, medial epicondylitis, or ulnar neuropathy. Significant risk factors such as wrist angular velocity (5°/s, with increasing prevalence ratio of 0.10%/(°/s), or forearm supination (≥45° and ≥5% of time combined with forceful lifting) were found. Conclusions: This review delivers a categorization of work-related physical risk-factor specifications for SDEs with a special focus on quantitative measures, ranked for evidence. These results may build the base for developing risk assessment methods and prospective preventive measures.
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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 [15]
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- Authors
- Seidel, D. H., Ditchen, D. M., Hoehne-Hückstädt, U. M., Rieger, M. A., & Steinhilber, B.
- Affiliations
- Universitätsklinikum Tübingen (DE)
- Institut für Arbeitsschutz der Deutschen Gesetzlichen Unfallversicherung (DE)
- Corresponding author
- Seidel, David H.
- Venue
- International Journal of Environmental Research and Public Health
- Publisher
- MDPI AG
- Published
- 2019-01-05
- Volume
- 16
- Issue
- 1
- Pages
- 130
- ISSN
- 1660-4601 (ISSN-L)
- PMC
- PMC6339038
- OpenAlex
- W2906846384
- Cited by
- 43
- References
- 51
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 4 · 2023: 6 · 2022: 6 · 2021: 12 · 2020: 5 · 2019: 3
- FWCI
- 1.00
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- International Journal of Environmental Research and Public Health (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- The work of the Institute of Occupational and Social Medicine and Health Services Research Tuebingen is supported by an unrestricted grant of the Employers´ Association of the Metal and Electric Industry Baden-Wuerttemberg (Suedwestmetall). (-)
- 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 › Rehabilitation › Elbow and Forearm Trauma Treatment
- Keywords
- work-related musculoskeletal disorders, elbow disorders, physical risk factors, lateral epicondylitis, medial epicondylitis, ulnar neuropathy, forearm supination, occupational risk assessment
- MeSH terms
- Elbow Joint, Humans, Joint Diseases, Musculoskeletal Diseases, Occupational Diseases, Prospective Studies, Risk Factors
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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