Short-term effect of PM 2.5 and O3 on non-accidental mortality and respiratory mortality in Lishui District , China

Abstract

Background In recent years, air pollution has become an imminent problem in China. Few studies have investigated the impact of air pollution on the mortality of middle-aged and elderly people. Therefore, this study aims to evaluate the impact of PM2.5 and O3 on non-accidental mortality and respiratory mortality of the middle-aged and elderly in Lishui district of China and provide the scientific basis for the prevention and control measures of air pollution. Method: Using daily mortality and atmospheric monitoring data from 2015 to 2019, we applied a generalized additive model with time-series analysis to study the association of PM2.5 and O3 exposure with daily non-accidental mortality and respiratory mortality in Lishui district of China. Using attributable risk to estimate the death burden attributable to short-term exposure to O3 and PM2.5。 Result PM2.5 and O3 were associated with non-accidental and respiratory mortality. For every 10µg/m3 increased in PM2.5, non-accidental mortality increased 0.94% (95%CI: 0.05%-1.83%), and PM2.5 had a more significant impact on women. For every 10µg/m3 increased in O3, respiratory mortality increased 1.35% (95%CI: 0.05%-2.66%). and O3 had a more significant impact on men. Compared with single pollutant model, the impact of the two-pollutant model on non-accidental mortality and respiratory mortality slightly decreased. Besides, in summer and winter, O3 had a more obvious impact on non-accidental mortality. The Population Attributable Fractions of non-accidental mortality were 0.839% (95%CI:0.004–1.626%) for PM2.5 and the PAF of respiratory mortality were 0.135% (95%CI:0.005–0.263%) for O3. Conclusion PM2.5 and O3 could significantly increase the risk of non-accidental and respiratory mortality in middle-aged and elderly people in Lishui district, China. Exposing to air pollutants, men were more susceptible to O3 damage, and women were more susceptible to PM2.5 damage.