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ABSTRACT: Background
Interstitial lung diseases (ILDs) are indispensable components of chronic respiratory diseases and global health challenges. We aimed to explore the global long-term changes in the prevalence, mortality, and disability-adjusted life years (DALYs) of ILDs; investigate the independent effect of age, period, and cohort; and project the disease burden over the next decade.Methods
Data were retrieved from the Global Burden of Disease (GBD) database 2019. The joinpoint regression model was used to calculate the average annual percent change (AAPC). An age-period-cohort (APC) analysis was employed to measure the independent effect of age, period, and cohort. The Bayesian age-period-cohort (BAPC) model was used to project the global epidemiological trends until 2030.
SUBMITTER: Zeng Q
PROVIDER: S-EPMC10404716 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature