Ontology highlight
ABSTRACT: Background
Knee osteoarthritis (KOA) is primarily characterized by joint pain and dysfunction, and KOA has increasingly emerged as a public health concern in China and globally. This study aims to utilize data from the Global Burden of Disease (GBD) 2021 to summarize the disease burden of KOA in China and globally from 1992 to 2021, while also predicting the disease burden in 2030.Methods
Using data from the GBD 2021 study, we compared and described the burden of KOA in China and globally. Joinpoint regression was applied to assess long-term trends in the burden of KOA based on GBD 2021 data. The impact of population growth, aging, and epidemiological trends on the burden of KOA was examined through decomposition analysis. Additionally, an age-period-cohort analysis (APC) w
SUBMITTER: Lv Y
PROVIDER: S-EPMC12034567 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature