Long-term PM2.5 exposure and peak expiratory flow in middle-aged and older people in China: a quasi-experimental study.

Abstract

China's Clean Air Act (CCAA) has been demonstrated to reduce the public health burden of ambient air pollution. Few studies have assessed the health effects of CCAA on lung function. We aimed to investigate the effects of CCAA and PM2.5 exposures on peak expiratory flow (PEF) in middle-aged and older people in China. Three waves (2011, 2013, and 2015) of the China Health and Retirement Longitudinal Study (CHARLS) were included in this study. We performed a difference-in-difference (DID) model and mixed-effect method to assess the association between CCAA, PM2.5, and PEF. To increase the reliability, multiple environmental factors were considered, and spline function was utilized to fit the spatial autocorrelations. We found that the risk of decreased PEF in the policy intervention group was reduced by 46% (95% confidence interval [CI], 23% ~ 62%). The estimate showed a 10 μg/m3 increase in PM2.5 would increase the risk of decreased PEF by 10% (95% CI, 3% ~ 18%). The results of the mixed-effect model showed a 10 μg/m3 increase in PM2.5 concentration was associated with a 2.23% (95% CI, 1.35% ~ 3.06%) decrease in the PEF. These results contributed to the limited epidemiology evidence on demonstrating the effect of PM2.5 on lung function. This article is part of a Special Collection on Environmental Epidemiology.