Association of Osteoarthritis Prevalence With Age and Obesity Factors in Organization for Economic Cooperation and Development Countries: Panel Regression Model.

Am J Phys Med Rehabil

From the Hatay Mustafa Kemal University-Faculty of Health Sciences, Division of Physiotherapy and Rehabilitation, Hatay, Turkey (GK); Harran University-Faculty of Health Sciences, Division of Physiotherapy and Rehabilitation, Şanlıurfa, Turkey (ZY); Istanbul University-Cerrahpaşa, Faculty of Health Sciences, Health Economics, Istanbul, Turkey (CB); and Istanbul University-Cerrahpaşa, Institute of Graduate Studies, Department of Physiotherapy and Rehabilitation, Istanbul, Turkey (ET).

Published: October 2023

Introduction: According to cross-sectional analysis studies supported by microdata, incidence of Osteoarthritis increases in parallel with ageing and obesity, which are common predictors of the disease. The aim of this study is to reveal whether ageing and obesity have an effect on the increase in osteoarthritis prevalence by analyzing cross-country data from Organization for Economic Cooperation and Development countries.

Methods: We used static panel data regression analysis for 36 countries for the period between 2000 and 2017. Along with osteoarthritis prevalence, we used a group of people with a body mass index ≤ 30 within the population as obesity indicator and those older than 65 yrs within the population as ageing indicator. We calculated the effect of ageing and obesity on osteoarthritis prevalence using STATA 13 software.

Results: Both variable coefficients, age, and obesity, respectively, were found to be positive and statistically significant at the 1% level. This study shows that both ageing and obesity contribute to an increase in the osteoarthritis prevalence based on macro data from 36 Organization for Economic Cooperation and Development countries.

Conclusions: These findings have significant implications that can be used by both the public and policymakers for preventing the osteoarthritis. Adopting the preventive measures could contribute to decrease in health expenditures.

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Source
http://dx.doi.org/10.1097/PHM.0000000000002244DOI Listing

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