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DOI 10.1007/s11356-019-04960-2

Медицинская библиотека · Environmental science and pollution research international · 2019

Population susceptibility differences and effects of air pollution on cardiovascular mortality: epidemiological evidence from a time-series study.

Liu Mengyao, Xue Xiaoxia, Zhou Baosen, Zhang Yawei, Sun Baijun, Chen Jianping, Li Xuelian

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Аннотация

There is insufficient evidence on the relationship between air pollution and mortality from cardiovascular disease (CVD) in northeast China. Here, we explored the short-term effects of air pollution on CVD mortality and preliminarily investigated differences in population susceptibility to air pollution in Shenyang, China. CVD mortality, air pollution, and meteorological data during 2013-2016 were obtained. Time-series analysis was applied to evaluate the association between air pollution and daily CVD mortality with different lag structures. In the single-pollutant model, each 10 μg/m3 increase in PM2.5, PM10, SO2, NO2, and O3 concentrations and 1 mg/m3 increase in CO concentrations at lag0 (same day) was significantly associated with an increase of 0.40% (95% confidence interval, 0.22-0.59%), 0.26% (0.12-0.40%), 0.43% (0.16-0.70%), 0.90% (0.14-1.67%), 0.76% (0.21-1.32%), and 3.33% (0.97-5.75%), respectively, in overall CVD mortality. Susceptibility to air pollutants was higher among females, elderly people, and ischemic heart disease patients. Furthermore, air pollution effects on CVD mortality were 2-8 times greater during the non-heating period. In conclusion, the air pollutants PM2.5, PM10, SO2, NO2, O3, and CO showed significant positive effects on CVD mortality in Shenyang, China. These findings highlight the adverse effects of air pollution and suggest the need for personal protective equipment and reduction of air pollution sources.

Для цитирования: Liu Mengyao, Xue Xiaoxia, Zhou Baosen, Zhang Yawei, Sun Baijun, Chen Jianping, Li Xuelian. Population susceptibility differences and effects of air pollution on cardiovascular mortality: epidemiological evidence from a time-series study.. Environmental science and pollution research international. 2019. DOI: 10.1007/s11356-019-04960-2.

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