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Association between multi-pollutant mixtures pollution and daily cardiovascular mortality: An exploration of exposure-response relationship

机译:多污染物混合物污染与每日心血管死亡率之间的关联:暴露-反应关系的探索

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摘要

Evidence of combined mortality effects of multi-pollutant on cardiovascular diseases (CVD) and the corresponding exposure-response (ER) relationship is limited. In this paper, we examined the association between four ambient air pollutants (i.e., fine particulate matter, PM2.5, particulate matter, PM10, nitrogen dioxide, NO2, and sulfur dioxide, SO2.) and CVD mortality and the corresponding ER relationship after incorporating the potential interaction among the multiple pollutants. Bayesian kernel machine regression (BKMR) was used to evaluate the ER relationship and to explore the interactions between pollutants. The results showed that PMio and SO2 were dominant pollutants from 0 to 2 days, while PM2.5 and NO2 had strong effect on CVD mortality from 3 to 4 days. Generally, PM2.5 and NO2 had the similar ER relationship across different moving average concerning the CVD mortality. For the interaction among the multiple pollutants, we found that there is no interaction between partide pollutants (i.e. PM2.5 and PM10) and gaseous pollutants (i.e.NO2 and SO2). On the contrary, there might be an interaction between PM2.5 and PM10 though this interaction was detected by visually comparing the slopes of ER curves of a given particle pollutant at different levels of the other particle pollutant. But there is a lack of statistical significance test for this interaction. This study suggests that different ambient air pollutants might have the dominant effect on CVD deaths during different moving average, though there might not be statistical significant interactions among the ambient air pollutants in present study.
机译:多种污染物对心血管疾病(CVD)的综合死亡率影响以及相应的暴露-反应(ER)关系的证据有限。在本文中,我们研究了四种环境空气污染物(即细颗粒物,PM2.5,颗粒物,PM10,二氧化氮,NO2和二氧化硫,SO2)之间的关联,以及与CVD死亡率的关系。纳入多种污染物之间的潜在相互作用。贝叶斯核仁机器回归(BKMR)用于评估ER关系并探讨污染物之间的相互作用。结果表明,PMio和SO2在0至2天为主要污染物,而PM2.5和NO2在3至4天对CVD死亡率有强烈影响。通常,在涉及CVD死亡率的不同移动平均值上,PM2.5和NO2具有相似的ER关系。对于多种污染物之间的相互作用,我们发现部分污染物(即PM2.5和PM10)与气态污染物(即NO2和SO2)之间没有相互作用。相反,尽管PM2.5和PM10之间可能存在相互作用,但是通过视觉比较给定颗粒污染物的ER曲线的斜率在其他颗粒污染物的不同含量下检测到了这种相互作用。但是,这种相互作用缺乏统计学意义的检验。这项研究表明,尽管本研究中的环境空气污染物之间可能没有统计上的显着相互作用,但在不同的移动平均值期间,不同的环境空气污染物可能对CVD死亡具有主要影响。

著录项

  • 来源
    《Atmospheric environment》 |2018年第8期|136-143|共8页
  • 作者单位

    Chinese Acad Med Sci, Beijing 100005, Peoples R China;

    Chinese Acad Med Sci, Peking Union Med Coll, Sch Basic Med, Inst Basic Med Sci,Dept Epidemiol & Biostat, Beijing 100005, Peoples R China;

    Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China;

    Chinese Acad Med Sci, Peking Union Med Coll, Sch Basic Med, Inst Basic Med Sci,Dept Epidemiol & Biostat, Beijing 100005, Peoples R China;

    Chinese Acad Med Sci, Peking Union Med Coll, Sch Basic Med, Inst Basic Med Sci,Dept Epidemiol & Biostat, Beijing 100005, Peoples R China;

    San Diego State Univ, Grad Sch Publ Hlth, Div Biostat & Epidemiol, San Diego, CA 92182 USA;

    Chinese Acad Med Sci, Peking Union Med Coll, Sch Basic Med, Inst Basic Med Sci,Dept Epidemiol & Biostat, Beijing 100005, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Air pollution; Bayesian kernel machine regression; Exposure-relationship; Cardiovascular mortality;

    机译:空气污染;贝叶斯核机器回归;暴露关系;心血管死亡率;

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