» Articles » PMID: 24561177

Prevalence of and Risk Factors for Shoulder Osteoarthritis in Japanese Middle-aged and Elderly Populations

Overview
Date 2014 Feb 25
PMID 24561177
Citations 29
Authors
Affiliations
Soon will be listed here.
Abstract

Background: The purpose of this study was to determine the prevalence of shoulder osteoarthritis (OA) in populations older than 40 years and to examine risk factors and the relationship with shoulder function.

Methods: The respondents in this study consisted of 541 patients who underwent general medical examinations in April 2012 as residents of a single village. The mean age was 65.2 ± 11.0 years (range, 40-89 years), and 341 (63.0%) of the respondents were women. Anteroposterior radiographs of the bilateral shoulder joints were obtained, and the subjects were classified into 3 groups (non-OA, mild OA, and moderate-severe OA) according to the Samilson-Prieto method. With respect to risk factors for shoulder OA, a logistic regression analysis was performed.

Results: Shoulder OA was detected in 17.4% (94 of 541) of the patients. The incidence of OA in both shoulders was 3.1% (17 of 541), and the prevalence of shoulder OA among the respondents 65 years of age or older (20.3%) was significantly higher than that observed among the respondents younger than 65 years (11.1%). The risk of shoulder OA increased according to age, with an odds ratio of 5.59 in the respondents 60 to 69 years of age (P = .027), 11.59 in the respondents 70 to 79 years of age (P = .004), and 10.77 in the respondents 80 years of age and older (P = .004).

Conclusions: The prevalence of shoulder OA was 17.4%, and the risk factor for shoulder OA was age.

Citing Articles

Risk factors associated with degenerative glenohumeral osteoarthritis.

Prakash R, Pathak R, Chen Z, Tai D, BezanPetric U, Rapp E BMJ Open Sport Exerc Med. 2025; 11(1):e002247.

PMID: 39926023 PMC: 11804196. DOI: 10.1136/bmjsem-2024-002247.


Anthropometric study of the scapula in a contemporary population from granada. Sex estimation and glenohumeral osteoarthritis prevalence.

Garzon-Alfaro A, Botella M, Rus Carlborg G, Prados Olleta N, Gonzalez-Ramirez A, Hernandez-Cortes P PLoS One. 2024; 19(7):e0305410.

PMID: 38985776 PMC: 11236152. DOI: 10.1371/journal.pone.0305410.


Can we screen opportunistically for low bone mineral density using CT scans of the shoulder and artificial intelligence?.

Sebro R, De la Garza-Ramos C Br J Radiol. 2024; 97(1160):1450-1460.

PMID: 38837337 PMC: 11256955. DOI: 10.1093/bjr/tqae109.


Concordance of shoulder symptoms and imaging findings: a protocol for the Finnish Imaging of Shoulder (FIMAGE) study.

Ibounig T, Buchbinder R, Sillanpaa N, Ramo L, Toivonen P, Raatikainen S BMJ Open. 2023; 13(12):e074457.

PMID: 38154899 PMC: 10759117. DOI: 10.1136/bmjopen-2023-074457.


Arthritis Foundation/HSS Workshop on Hip Osteoarthritis, Part 2: Detecting Hips at Risk: Early Biomechanical and Structural Mechanisms.

Vassileva M, Kim J, Gonzalez Della Valle A, Harris M, Pedoia V, Lattanzi R HSS J. 2023; 19(4):428-433.

PMID: 37937085 PMC: 10626933. DOI: 10.1177/15563316231192097.