人群的自然和社会属性分类下PM_(2.5)对心血管疾病的影响
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  • 英文篇名:Natural and social factor as modifiers of the effects of PM_(2.5) on daily cardiovascular mortality in Beijing, China
  • 作者:龚天宜 ; 孙兆彬 ; 张小玲 ; 王式功
  • 英文作者:GONG Tian-yi;SUN Zhao-bin;ZHANG Xiao-ling;WANG Shi-gong;Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology;Institute of Urban Meteorology,China Meteorological Administration;Shanghai Key Laboratory of Meteorology and Health;
  • 关键词:不同人群 ; 细颗粒物 ; 心血管疾病 ; 时间序列 ; 效应修饰作用
  • 英文关键词:subgroups;;fine particulates;;cardiovascular disease;;time series;;modification effects
  • 中文刊名:ZGHJ
  • 英文刊名:China Environmental Science
  • 机构:成都信息工程大学大气科学学院高原大气与环境四川省重点实验室;中国气象局北京城市气象研究所;上海市气象与健康重点实验室;
  • 出版日期:2019-03-20
  • 出版单位:中国环境科学
  • 年:2019
  • 期:v.39
  • 基金:国家重点研发计划(2016YFA0602004);; 公益性行业(气象)专项(GYHY201206015)
  • 语种:中文;
  • 页:ZGHJ201903052
  • 页数:10
  • CN:03
  • ISSN:11-2201/X
  • 分类号:395-404
摘要
为了研究人群在自然属性和社会属性分类下的效应修饰作用,利用2005~2011年北京市大气PM_(2.5)日均浓度、气象要素及循环系统疾病每日死亡人数数据,根据不同年龄、性别及学历将人群分组,采用时间序列的半参数广义相加模型(GAM),定量评价大气PM_(2.5)对居民循环系统疾病死亡人数的影响.单污染物模型和多污染物模型结果表明,PM_(2.5)为影响循环系统疾病每日死亡人数的主要大气污染物.北京市空气中PM_(2.5)的浓度每增加10μg/m~3,循环系统疾病总死亡人数增加0.50%(95%CI:0.36,0.63).不同人群的易感程度不同,各人群死亡人数的增加范围为0.23~0.71%,女性、60~74岁人群、文盲人群的健康风险相对较高.在文盲人群中,老年(60+)女性占比为66.2%,为了分离社会属性人群分类中可能存在的自然属性因素干扰,本文去除其中老年、女性这两个混杂因素的影响,文盲人群健康风险仍然大于较高学历的人群.年龄和性别因素叠加在学历因素上,可能加大低学历人群的健康风险,对于这部分叠加了自然因素和社会因素双重敏感性的人群应给与重点关注.
        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/m~3 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.
引文
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