Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Factors Influencing the Size of a Non-Traumatic Full-Thickness Rotator Cuff Tear

Focusing on Socioeconomic Factors

Bibliographic Data

ID15480688
AuthorsSuk‐Woong Kang (0000-0003-0883-2461, Pusan National University Yangsan Hospital), Suk-Woong Kang (Department of Orthopedic Surgery, Pusan National University Yangsan Hospital, Yangsan 50612, Korea), Chan-Kue Park (Pusan National University Yangsan Hospital), Seung Hun Woo (0000-0002-9765-8057, Pusan National University Yangsan Hospital), Tae‐Woo Kim (0000-0002-5180-0978, Pusan National University Yangsan Hospital), Tae-woo Kim (0009-0007-6999-1841, Department of Orthopedic Surgery, Pusan National University Yangsan Hospital, Yangsan 50612, Korea), Min Hui Moon (0000-0003-3953-6219, Pusan National University Yangsan Hospital), Min-Hui Moon (Office of Public Healthcare Service, Pusan National University Yangsan Hospital, Yangsan 50612, Korea), Ji-Hee Yang (Pusan National University), Min-Hyeok Choi (0000-0002-9611-7232, Pusan National University Yangsan Hospital, corresponding author)
Year2022
Volume19
Issue10
Pages6137-6137
Publication date2022-05-18
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph19106137
PMID35627675
OpenAlexW4280541485
LanguageEN
References cited36

This study aimed to identify the risk factors for non-traumatic rotator cuff tears in Korean adult patients who underwent surgical treatment, focusing on socioeconomic factors. A retrospective study was conducted with 659 patients who were diagnosed with a full rotator cuff tear and underwent surgical treatment. The outcome variable was the rotator cuff tear size (mm), as indicated by preoperative magnetic resonance imaging. Socioeconomic variables included occupation, education level, insurance type, and residential area. Univariate analyses were used to evaluate the relation between tear size and independent variables, and multivariate regression was used to estimate the effects of socioeconomic factors on tear size after adjusting for other variables. Significant differences were found in mean tear size according to age, occupation, residence area, and symptom duration (p < 0.05) in multivariate regression analysis. Rural residents had a 2.12 mm larger tear size than urban residents. Compared to National Health Insurance patients, the tear size of Medicaid beneficiaries was significantly larger (6.79 mm) in urban areas. The larger the rotator cuff tear, the greater the risk of retear and poor shoulder function. Therefore, policy efforts are required to expand access to medical care for the vulnerable

Bayesian multivariate linear regression · Environmental health · Multivariate analysis · Physical therapy · Population · Regression analysis · Retrospective cohort study · Rotator cuff · Socioeconomic status · Tears · Demography · Medicine · Musculoskeletal pain and rehabilitation · Shoulder and Clavicle Injuries · Shoulder Injury and Treatment · Internal Medicine · Surgery

Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae