• 1. Department of General Practice, Zhangye People’s Hospital Affiliated to Hexi University, Zhangye 734000, P. R. China;
  • 2. Editorial Department of Journal of Hexi University, Zhangye 734000, P. R. China;
  • 3. Department of Preventive Medicine, Hexi University, Zhangye 734000, P. R. China;
XU Shenggang, Email: 45196808@qq.com
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Objective To analyze the disease burden and temporal trends of chronic obstructive pulmonary disease (COPD) attributable to air pollution in China from 1990 to 2021. Methods Utilizing data from the Global Burden of Disease Study 2021 (GBD 2021), we assessed the burden of COPD attributable to air pollution in China through metrics including death counts, disability-adjusted life years (DALYs), age-standardized mortality rate (ASMR), age-standardized DALY rate (ASDR), annual percentage change (APC), and average annual percentage change (AAPC). A Bayesian Age-Period-Cohort (BAPC) model was employed to project future trends in COPD burden attributable to air pollution. Results In 2021, China’s ASMR and ASDR for COPD attributable to air pollution were 32.57 and 533.84 per 100,000 population, respectively, exceeding global averages. From 1990 to 2021, both ASMR and ASDR exhibited significant declining trends, with AAPCs of −5.24% (95% CI −5.78% to −4.70%) and −5.28% (95% CI −5.75% to −4.81%), respectively. The burden intensified with advancing age and was disproportionately higher among males compared to females. BAPC projections indicate a continued decline in COPD burden from 2022 to 2035, with ASMR expected to decrease from 56.40 to 23.02 per 100,000 and ASDR from 900.14 to 408.64 per 100,000. Conclusion Despite sustained reductions in the burden of COPD attributable to air pollution in China from 1990 to 2021, with further declines anticipated through 2035, national rates remain elevated relative to global benchmarks. Male and elderly populations bear the highest burden, underscoring the urgency for targeted interventions to mitigate air pollution exposure and address health disparities in vulnerable demographics.

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