Abstract

BackgroundArthritis is a gendered disease where women have a higher prevalence and more disability than men with arthritis of the same age. Health survey data is a major source of information for monitoring of the burden of arthritis. The validity of self-reported arthritis and the determinants of its accuracy among women have not been thoroughly studied. The objectives of this study were to: 1) examine the agreement between self-report diagnosed arthritis and musculoskeletal signs and symptoms in community-living older women; 2) estimate the sensitivity, specificity, and predictive values of self-reported arthritis; and 3) assess the factors associated with the disagreement.MethodsA cross-sectional survey of women was undertaken in 2012–13. The health survey asked women about diagnosed arthritis and musculoskeletal signs and symptoms. Agreement between self-reported arthritis and musculoskeletal signs symptoms was measured by Cohen’s kappa. Sensitivity, specificity, and predictive values of self-reported arthritis were estimated using musculoskeletal signs and symptoms as the reference standard. Factors associated with disagreement between self-reported arthritis and the reference standard were examined using multiple logistic regression.ResultsThere were 223 participants self-reported arthritis and 347 did not. A greater number of participants who self-reported arthritis were obese compared to those who did not report arthritis. Those who reported arthritis had worse health, physical functioning, and arthritis symptom measures. Among the 570 participants, 198 had musculoskeletal signs and symptoms suggesting arthritis (the reference standard). Agreement between self-reported arthritis and the reference standard was moderate (kappa = 0.41). Sensitivity, specificity, and positive and negative predictive values of self-reported arthritis in older women were 66.7, 75.5, 59.2, and 81.0% respectively. Regression analysis results indicated that false-positive is associated with better health measured by the Short Form 36 physical summary score, the Health Assessment Questionnaire disability index, or the Western Ontario and McMaster University Osteoarthritis Index total score; whereas false-negative is negatively associated with these variables.ConclusionWhile some women who reported diagnosed arthritis did not have recent musculoskeletal signs or symptoms, others with the signs and symptoms did not report diagnosed arthritis. Researchers should use caution when employing self-reported arthritis as the case-definition in epidemiological studies.Electronic supplementary materialThe online version of this article (doi:10.1186/s12891-016-1349-4) contains supplementary material, which is available to authorized users.

Highlights

  • Arthritis is a gendered disease where women have a higher prevalence and more disability than men with arthritis of the same age

  • Women with and without self-reported diagnosed arthritis are not significantly different in socio-demographic characteristics; but an increased proportion were obese, had more chronic conditions, worse quality of life (PCS and The SF36 mental component summary (MCS)), greater disability, and worse in the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) total score compared to women without arthritis

  • Our results show that the estimated prevalence of arthritis in older community-living women based on self-reported diagnosed arthritis and cases identified by musculoskeletal signs and symptoms were not statistically significantly different

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Summary

Introduction

Arthritis is a gendered disease where women have a higher prevalence and more disability than men with arthritis of the same age. A considerable amount of healthcare resources is dedicated by the governments to the management of arthritis [1, 4,5,6]. Arthritis is a gendered disease, where women are more likely to be affected than men [1, 3,4,5, 8]. Osteoarthritis (i.e. the most common form of arthritis) affects women more severely and at more sites [8,9,10]. As managing arthritis poses a considerable challenge to the limited resources in the healthcare systems and affects the quality of life of millions of women, it is important to monitor the burden of arthritis

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