The relationship between air pollutants and mortality in Huairou District / 预防医学

ABSTRACT

Objective@#To evaluate the relationship between air pollutants and mortality of residents in Huairou District, Beijing, providing a basis for the formulation of air pollution control measures. @*Methods @#The data of daily deaths, meteorological factors and air pollutants in Huairou District from 2014 to 2018 were collected from Beijing Disease Prevention Monitoring Information Integration and Analysis System, Huairou Meteorological Bureau and Environmental Monitoring Station. The generalized additive models were used to analyze the relationship between the average daily concentration of air pollutants and the daily deaths.@*Results@#The medians of daily average concentrations of SO2, NO2, CO, O3, PM10 and PM2.5 were 5.00 μg/m3, 24.00 μg/m3, 0.71 mg/m3, 77.27 μg/m3, 64.25 μg/m3 and 44.13 μg/m3, respectively. Except for O3, the daily average concentrations of SO2, NO2, CO, PM10 and PM2.5 showed decreasing trends from 2014 to 2018. An increase of 10 μg/m3 of NO2 resulted in an elevation of 1.69% ( 95%CI 0.31%-3.08% ) , 3.31% ( 95%CI 1.24%-5.42% ) and 3.31% ( 95%CI 0.51%-6.19% ) for non-accidental death in the whole population, females and people under 65 years old, respectively, with a delay of 2 days (lag2). For every 10 μg/m3 increase in the daily average concentrations of CO and PM2.5, the risk of non-accidental death among people under 65 years old at lag2 increased by 0.08% ( 95%CI 0.01%-0.14% ) and 0.88% ( 95%CI 0.12%-1.64% ) , respectively. For every 10 μg/m3 increase in daily average concentration of O3, there was 0.69% ( 95%CI 0.02%-1.36% ) increase in daily male non-accidental death risk at lag4. The results of the multi-pollutant model showed that after adjusting the effects of the other two air pollutants, NO2, CO and PM2.5 had no statistically significant effects on the daily non-accidental deaths of people under 65 years old at lag2 ( P>0.05 ) . @*Conclusion@# The ambient NO2, CO, O3 and PM2.5 pollution increase daily non-accidental deaths, which shows a lag effect．