Trends and projections of the burden of osteoarthritis disease in China and globally: A comparative study of the 2019 global burden of disease database

Abstract

This study aims to characterize the burden of osteoarthritis in China and globally from 1990 to 2019 and predict the burden for the next decade. The Global Burden of Disease (GBD) database is designed to assess the burden of various diseases and injuries on a global scale. Age-standardized rate data for the incidence, prevalence, and Years Lived with Disability (YLDs) of osteoarthritis in both China and the global context were extracted. Furthermore, the Estimated Annual Percentage Change (EAPC) to illustrate the long-term trends in the burden of osteoarthritis disease was calculated. Autoregressive integrated moving average (ARIMA) models were applied to forecast the trends in age-standardized incidence rate (ASIR), age-standardized prevalence rate (ASPR), and age-standardized YLDs rate (ASYR) for osteoarthritis in China and globally for the next 11 years. Knee osteoarthritis showed a changing trend of ASIR, ASPR, and ASYR from 1990 to 2019 in China, initially decreasing and then increasing. In contrast, global osteoarthritis exhibited a relatively stable overall trend over three decades. Knee osteoarthritis exhibited the highest incidence, prevalence, and YLDs across various age groups and genders. The ARIMA forecast indicated a slight upward trend in osteoarthritis burden in China and globally over the next 11 years. Osteoarthritis poses a significant health issue, emphasizing the need to enhance awareness and management of osteoarthritis among the population and policymakers, particularly focusing on the elderly and female populations.