人群的自然和社会属性分类下PM<sub>2.5</sub>对心血管疾病的影响

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Abstract To quantitatively analyze the modification effects of natural factor and social factor, people was classified by sex, age and education in our study. A semi-parametric generalized additive model (GAM) was used to calculate the exposure-response relationship between ambient particulate matter pollution and daily cardiovascular mortality from 2005 to 2011 in Beijing. The results of the single- and the multi-pollutant model indicated that PM_2.5 was the main air pollution health risk factor affecting the daily cardiovascular mortality. A 10μg/m³ increase in PM_2.5 was associated with 0.50% (95%CI: 0.36, 0.63) increase for overall group. Different susceptibility showed in different subgroups, whose excess risks (ER) were range from 0.23%~0.71%. A much higher ER has been found in the subgroups of age 60~74years, female and illiterate. However, it showed that elderly (60+) women accounted for 66.2% among the illiterate. In order to isolate the possible interference of natural factors in the classification of social factor, distractions of elderly and female has been removed, but ER of illiterate were still greater than those with higher education attainment level. Adverse health effects of the lower education attainment level subgroup may be increase when the modification effects of age and sex are overlay on it. It is necessary to give priority attention to those people who have the dual susceptibility of both natural factor and social factor.

Key words： subgroups fine particulates cardiovascular disease time series modification effects

Received: 18 July 2018

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X503.1

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	GONG Tian-yi
	SUN Zhao-bin
	ZHANG Xiao-ling
	WANG Shi-gong

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GONG Tian-yi,SUN Zhao-bin,ZHANG Xiao-ling等. Natural and social factor as modifiers of the effects of PM_2.5 on daily cardiovascular mortality in Beijing, China[J]. CHINA ENVIRONMENTAL SCIENCECE, 2019, 39(3): 1289-1298.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2019/V39/I3/1289

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