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Factors Associated With Lateral Epicondylitis of the Elbow
BACKGROUND: Metabolic factors have been linked to tendinopathies, yet few studies have investigated the association between metabolic factors and lateral epicondylitis. PURPOSE: To evaluate risk factors for lateral epicondylitis, including several metabolic factors. STUDY DESIGN: Case-control study;...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8127791/ https://www.ncbi.nlm.nih.gov/pubmed/34036114 http://dx.doi.org/10.1177/23259671211007734 |
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author | Park, Hyung Bin Gwark, Ji-Yong Im, Jin-Hyung Na, Jae-Boem |
author_facet | Park, Hyung Bin Gwark, Ji-Yong Im, Jin-Hyung Na, Jae-Boem |
author_sort | Park, Hyung Bin |
collection | PubMed |
description | BACKGROUND: Metabolic factors have been linked to tendinopathies, yet few studies have investigated the association between metabolic factors and lateral epicondylitis. PURPOSE: To evaluate risk factors for lateral epicondylitis, including several metabolic factors. STUDY DESIGN: Case-control study; Level of evidence, 3. METHODS: We evaluated 1 elbow in each of 937 volunteers from a rural region that employs many agricultural laborers. Each participant received a questionnaire, physical examinations, blood tests, simple radiographic evaluations of both elbows, magnetic resonance imaging of bilateral shoulders, and an electrophysiological study of bilateral upper extremities. Lateral epicondylitis was diagnosed using 3 criteria: (1) pain at the lateral aspect of the elbow, (2) point tenderness over the lateral epicondyle, and (3) pain during resistive wrist dorsiflexion with the elbow in full extension. Multivariable logistic regression analysis was used to calculate the odds ratios (ORs) and 95% CIs for various demographic, physical, and social factors, including age, sex, waist circumference, dominant-side involvement, smoking habit, alcohol intake, and participation in manual labor; the comorbidities of diabetes, hypertension, thyroid dysfunction, metabolic syndrome, ipsilateral biceps tendon injury, ipsilateral rotator cuff tear, and ipsilateral carpal tunnel syndrome; and the serologic parameters of serum lipid profile, glycosylated hemoglobin A1c, level of thyroid hormone, and high-sensitivity C-reactive protein. RESULTS: The prevalence of lateral epicondylitis was 26.1% (245/937 participants). According to the multivariable logistic regression analysis, female sex (OR, 2.47; 95% CI, 1.78-3.43), dominant-side involvement (OR, 3.21; 95% CI, 2.24-4.60), manual labor (OR, 2.25; 95% CI, 1.48-3.43), and ipsilateral rotator cuff tear (OR, 2.77; 95% CI, 1.96-3.91) were significantly associated with lateral epicondylitis (P < .001 for all). No metabolic factors were significantly associated with lateral epicondylitis. CONCLUSION: Female sex, dominant-side involvement, manual labor, and ipsilateral rotator cuff tear were found to be risk factors for lateral epicondylitis. The study results suggest that overuse activity is more strongly associated with lateral epicondylitis than are metabolic factors. |
format | Online Article Text |
id | pubmed-8127791 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-81277912021-05-24 Factors Associated With Lateral Epicondylitis of the Elbow Park, Hyung Bin Gwark, Ji-Yong Im, Jin-Hyung Na, Jae-Boem Orthop J Sports Med Article BACKGROUND: Metabolic factors have been linked to tendinopathies, yet few studies have investigated the association between metabolic factors and lateral epicondylitis. PURPOSE: To evaluate risk factors for lateral epicondylitis, including several metabolic factors. STUDY DESIGN: Case-control study; Level of evidence, 3. METHODS: We evaluated 1 elbow in each of 937 volunteers from a rural region that employs many agricultural laborers. Each participant received a questionnaire, physical examinations, blood tests, simple radiographic evaluations of both elbows, magnetic resonance imaging of bilateral shoulders, and an electrophysiological study of bilateral upper extremities. Lateral epicondylitis was diagnosed using 3 criteria: (1) pain at the lateral aspect of the elbow, (2) point tenderness over the lateral epicondyle, and (3) pain during resistive wrist dorsiflexion with the elbow in full extension. Multivariable logistic regression analysis was used to calculate the odds ratios (ORs) and 95% CIs for various demographic, physical, and social factors, including age, sex, waist circumference, dominant-side involvement, smoking habit, alcohol intake, and participation in manual labor; the comorbidities of diabetes, hypertension, thyroid dysfunction, metabolic syndrome, ipsilateral biceps tendon injury, ipsilateral rotator cuff tear, and ipsilateral carpal tunnel syndrome; and the serologic parameters of serum lipid profile, glycosylated hemoglobin A1c, level of thyroid hormone, and high-sensitivity C-reactive protein. RESULTS: The prevalence of lateral epicondylitis was 26.1% (245/937 participants). According to the multivariable logistic regression analysis, female sex (OR, 2.47; 95% CI, 1.78-3.43), dominant-side involvement (OR, 3.21; 95% CI, 2.24-4.60), manual labor (OR, 2.25; 95% CI, 1.48-3.43), and ipsilateral rotator cuff tear (OR, 2.77; 95% CI, 1.96-3.91) were significantly associated with lateral epicondylitis (P < .001 for all). No metabolic factors were significantly associated with lateral epicondylitis. CONCLUSION: Female sex, dominant-side involvement, manual labor, and ipsilateral rotator cuff tear were found to be risk factors for lateral epicondylitis. The study results suggest that overuse activity is more strongly associated with lateral epicondylitis than are metabolic factors. SAGE Publications 2021-05-13 /pmc/articles/PMC8127791/ /pubmed/34036114 http://dx.doi.org/10.1177/23259671211007734 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc-nd/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License (https://creativecommons.org/licenses/by-nc-nd/4.0/) which permits non-commercial use, reproduction and distribution of the work as published without adaptation or alteration, without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Article Park, Hyung Bin Gwark, Ji-Yong Im, Jin-Hyung Na, Jae-Boem Factors Associated With Lateral Epicondylitis of the Elbow |
title | Factors Associated With Lateral Epicondylitis of the Elbow |
title_full | Factors Associated With Lateral Epicondylitis of the Elbow |
title_fullStr | Factors Associated With Lateral Epicondylitis of the Elbow |
title_full_unstemmed | Factors Associated With Lateral Epicondylitis of the Elbow |
title_short | Factors Associated With Lateral Epicondylitis of the Elbow |
title_sort | factors associated with lateral epicondylitis of the elbow |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8127791/ https://www.ncbi.nlm.nih.gov/pubmed/34036114 http://dx.doi.org/10.1177/23259671211007734 |
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