Scarce evidence existed on the association between short-term exposure to fine particulate matter (PM2.5) and asthma in China. In this study, we aimed to explore the relationship of PM2.5 with acute asthma exacerbation in a coastal city of China. Cases of acute asthma exacerbation were identified from hospital outpatient visits in Yancheng, China, from 2015 to 2018. We utilized the generalized additive model linked by a quasi-Poisson distribution to assess the association between PM2.5 and daily acute asthma exacerbation. Different lag structures were built, and we conducted stratification analyses by gender, age, and season. Two-pollutant models were fitted, and concentration-response (C-R) curves were pooled. A total of 3,520 cases of acute asthma exacerbation were recorded, with a daily average of 3. We observed positive and significant associations of PM2.5 on lag 1, 2, lag 02, and lag 03 day. For each 10-μg/m3 increase in PM2.5 (lag 02), the associated increment in asthma was 3.15% (95% CI: 0.99%, 5.31%). The association remained after adjusting for gaseous co-pollutants. We observed significant PM2.5-asthma associations in males, patients ≤64 years, and during cold seasons. The C-R curves were positive and almost linear for total and strata-specific associations. In conclusion, this study provided robust evidence on the association of PM2.5 with acute asthma exacerbation, which may benefit future prevention strategy and policy making.
Keywords: Acute exacerbation; Air pollution; Asthma; PM(2.5); Time-series.
Copyright © 2019 Elsevier Ltd. All rights reserved.