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Understanding the Joint Impacts of Fine Particulate Matter Concentration and Composition on the Incidence and Mortality of Cardiovascular Disease: A Component-Adjusted Approach

机译:了解细颗粒物浓度和组成对心血管疾病的发病率和死亡率的联合影响:一种成分调整方法

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摘要

Past health impact assessments of ambient fine particulate matter (particles with an aerodynamic diameter ≤2.5 μm; PM_(2.5)) have generally considered mass concentration only, despite PM_(2.5) being a heterogeneous mixture. Given constant changes in the concentration and the composition of atmospheric aerosol, uncertainty exists as to whether the current focus on PM_(2.5) mass or individual components may fully characterize the health burden of PM_(2.5). We proposed a component-adjusted method that Jointly estimates the health impacts of PM_(2.5) and its major components while allowing for a potential nonlinear PM_(2.5)-outcome relationship. Using this method, we quantified the effects of PM_(2.5) on the risks of developing acute myocardial infarction (AMI) and dying from cardiovascular causes in comparison to three traditional approaches in the entire adult population across Ontario, Canada. We observed that PM_(2.5) was positively associated with AMI incidence and cardiovascular mortality with all four methods. Compared to the traditional approaches, however, the new component-adjusted approach demonstrated a significant improvement in explaining the health impacts of PM_(2.5), especially in the presence of a nonlinear PM_(2.5)-outcome relationship. Using the new approach, we found that the effects of PM_(2.5) on AMI incidence and cardiovascular mortality may be 10% to 27% higher than what would be estimated from the conventional approaches examining PM_(2.5) alone.
机译:尽管PM_(2.5)是异质混合物,但过去对环境细颗粒物(空气动力学直径≤2.5μm的颗粒; PM_(2.5)的健康影响评估)通常仅考虑质量浓度。考虑到大气气溶胶的浓度和成分的不断变化,目前是否关注PM_(2.5)质量或单个成分是否可以完全表征PM_(2.5)的健康负担存在不确定性。我们提出了一种成分调整的方法,该方法可以联合估计PM_(2.5)及其主要成分对健康的影响,同时允许潜在的非线性PM_(2.5)-结果关系。使用这种方法,与加拿大安大略省整个成年人口中的三种传统方法相比,我们量化了PM_(2.5)对发展为急性心肌梗塞(AMI)和死于心血管原因的风险的影响。我们观察到,通过所有四种方法,PM_(2.5)与AMI发生率和心血管死亡率呈正相关。但是,与传统方法相比,新的组件调整方法在解释PM_(2.5)对健康的影响方面表现出了显着改进,尤其是在存在非线性PM_(2.5)-结果关系的情况下。使用新方法,我们发现PM_(2.5)对AMI发生率和心血管死亡率的影响可能比仅检查PM_(2.5)的传统方法所估计的结果高10%至27%。

著录项

  • 来源
    《Environmental Science & Technology》 |2020年第7期|4388-4399|共12页
  • 作者单位

    Environmental Health Science and Research Bureau Health Canada Ottawa Ontario K1A 0K9 Canada Public Health Ontario Toronto Ontario M5G 1V2 Canada ICES Toronto Ontario M4N 3M5 Canada Dalla Lana School of Public Health University of Toronto Toronto Ontario M5S 1A1 Canada;

    Public Health Ontario Toronto Ontario M5G 1V2 Canada ICES Toronto Ontario M4N 3M5 Canada;

    Department of Physics and Atmospheric Science Dalhousie University Halifax Nova Scotia B3H 4R2 Canada Department of Energy Environmental & Chemical Engineering Washington University St. Louis Missouri 63130 United States;

    ICES Toronto Ontario M4N 3M5 Canada;

    Department of Physics and Atmospheric Science Dalhousie University Halifax Nova Scotia B3H 4R2 Canada Department of Energy Environmental & Chemical Engneering Washington University St. Louis Missouri 63130 United States Harvard-Smithsonian Centre for Astrophysics Cambridge Massachusetts 02138 United States;

    Environmental Health Science and Research Bureau Health Canada Ottawa Ontario K1A 0K9 Canada School of Epidemiology & Public Health University of Ottawa Ottawa Ontario K1G 5Z3 Canada;

    Public Health Ontario Toronto Ontario M5G 1V2 Canada ICES Toronto Ontario M4N 3M5 Canada Dalla Lana School of Public Health and Department of Family and Community Medicine University of Toronto Toronto Ontario M5S 1A1 Canada;

    Environmental Health Science and Research Bureau Health Canada Ottawa Ontario K1A 0K9 Canada;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
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  • 入库时间 2022-08-18 05:27:33

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