Association between short-term exposure to ambient air pollution and daily mortality: a time-series study in Eastern China

作者：Li, Die; Wang, Jian-bing^*; Zhang, Zhen-yu; Shen, Peng; Zheng, Pei-wen; Jin, Ming-juan; Lu, Huai-chu; Lin, Hong-bo^*; Chen, Kun^*

来源：Environmental Science and Pollution Research, 2018, 25(16): 16135-16143.

DOI：10.1007/s11356-018-1759-y

• Air pollution
• Mortality
• Generalize regression model
• Time-series analyses
• Short-term exposure
• China

Few studies were conducted to evaluate health effects of acute exposure to PM2.5 and daily mortality in Asian countries due to lack of large-scale PM2.5 monitoring data. We conducted a time-series study to examine the associations of short-term exposure to four common air pollutants (PM2.5, PM10 , NO2 , and SO2) and daily mortality in Ningbo, Zhejiang, China. We used generalized addictive model (GAM) to estimate relative risks (RRs) and 95% confidence intervals (CIs) for the association of these four air pollutants with daily mortality. The study included 9365 people in the 2-year study period from 2014 to 2015. SO2 were significantly associated with risk of NAD, RD, and CD mortality with RRs of 1.034 (95% CI 1.004, 1.064), 1.067 (95% CI 1.010, 1.127), and 1.049 (95% CI 1.001, 1.098), respectively.PM2.5 and PK10 were significantly associated with risk of death from NAD mortality in warm season. Similar associations were observed for PM 10 (RR = 1.056, 95% CI 1.004, 1.111) and risk of CD mortality. The study provides further evidence that short-term exposure to PM2.5 , PM10, NO2, and SO2 are associated with increased risk of daily mortality.

• 出版日期2018-6
• 单位浙江大学