4.7 Article

The contribution of age and obesity to the number of painful joint sites in individuals reporting osteoarthritis: a population-based study

Journal

RHEUMATOLOGY
Volume 59, Issue 11, Pages 3350-3357

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/rheumatology/keaa138

Keywords

osteoarthritis; age; sex; BMI; obesity; joints; generalized osteoarthritis; GOA; MJOA

Categories

Funding

  1. Arthritis Society of Canada

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Objective. To investigate the association of OA risk factors with number of painful joint sites in a representative population sample. Methods. Analysis of the 2009 Survey on Living with Chronic Diseases in Canada - Arthritis Component (n = 1614) for respondents reporting symptomatic OA. Variables: painful joints sites (hands, wrists, elbows, shoulders, hips, knees, ankles, feet, back, neck), joint symptom duration, sociodemographic characteristics, smoking, comorbidities and BMI. Zero-truncated negative binomial regressions were used to investigate the association between number of painful joint sites and the variables. Generalizability of findings was assessed by a similar analysis in a clinical hip/knee OA sample. Results. The sample comprised 73% women and 56% were aged <65 years. The mean number of painful joint sites was 3.8: 84% reported pain at >= 2 sites, and 45% at >= 4 sites. Age, BMI, education and smoking were not associated with the number of joint sites. Significant associations were found with being female [rate ratio (RR) = 1.23, 95% CI 1.09, 1.39], having more comorbidities (RR = 1.11, 95% CI 1.07, 1.15) and longer symptom duration (RR = 1.16, 95% CI 1.09, 1.24), although the increase in joint sites with duration was small. Similar regression results were found with the clinical OA sample. Conclusion. The lack of an association of age and BMI (obesity) with number of painful joint sites in OA raises questions about the role of these risk factors and our understanding of OA as a multi-joint disease. Filling this knowledge gap is critical to making progress with defining OA phenotypes and identifying potential aetiological mechanisms.

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