Background: Asthma is the second leading cause of mortality among chronic respiratory illnesses. This study provided a comprehensive analysis of the burden of asthma.
Methods: Data on asthma were extracted from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021. We focused on the effects of age, sex, risk factors, and the socio-demographic index (SDI) on the burden of asthma and calculated the average annual percent change (AAPC) via joinpoint regression. Two-sample Mendelian randomization (MR) was adopted to estimate the causal relationships between risk factors and asthma. The Bayesian age-period-cohort (BAPC) model was used to predict incidence patterns of asthma from 2022 to 2050.
Findings: In 2021, there was an observed prevalence of asthma, with 3,340 cases per 100,000 people. Males who were below 20 years old had a greater prevalence of asthma. The incidence and prevalence correlated positively with the SDI, whereas mortality and disability-adjusted life years (DALYs) correlated negatively. The contribution of high body mass index (BMI) to asthma DALYs increased by 4.3% worldwide between 1990 and 2021. MR studies have confirmed that high BMI and smoking can increase the risk of asthma. The prediction results indicated that the global age-standardised incidence rate will remain high from 2022 to 2050.
Interpretation: The global mortality of patients with asthma is a significant concern. The analysis of the burden of asthma can help formulate public health policies, allocate resources, and prevent asthma.
Funding: This study was supported by the National Natural Science Foundation of China; Program for Young Talents of Basic Research in Universities of Heilongjiang Province; Marshal Initiative Funding; Mathematical Tianyuan Fund of the National Natural Science Foundation of China; XingLian Outstanding Talent Support Program 2024.
Keywords: Asthma; GBD 2021; Mendelian randomization; Prediction; Risk factors.
© 2025 The Authors.