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首页> 外文期刊>American Journal of Epidemiology >Modeling the Association Between Particle Constituents of Air Pollution and Health Outcomes
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Modeling the Association Between Particle Constituents of Air Pollution and Health Outcomes

机译:建模空气污染的颗粒成分与健康结果之间的关联

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There is increasing interest in evaluating the association between specific fine-particle (particles with aerodynamic diameters less than 2.5 µm; PM2.5) constituents and adverse health outcomes rather than focusing solely on the impact of total PM2.5. Because PM2.5 may be related to both constituent concentration and health outcomes, constituents that are more strongly correlated with PM2.5 may appear more closely related to adverse health outcomes than other constituents even if they are not inherently more toxic. Therefore, it is important to properly account for potential confounding by PM2.5 in these analyses. Usually, confounding is due to a factor that is distinct from the exposure and outcome. However, because constituents are a component of PM2.5, standard covariate adjustment is not appropriate. Similar considerations apply to source-apportioned concentrations and studies assessing either short-term or long-term impacts of constituents. Using data on 18 constituents and data from 1,060 patients admitted to a Boston medical center with ischemic stroke in 2003–2008, the authors illustrate several options for modeling the association between constituents and health outcomes that account for the impact of PM2.5. Although the different methods yield results with different interpretations, the relative rankings of the association between constituents and ischemic stroke were fairly consistent across models.
机译:人们越来越有兴趣评估特定细颗粒(空气动力学直径小于2.5 µm的颗粒; PM 2.5 )与不良健康结局之间的关联,而不是仅仅关注总PM 2.5 。由于PM 2.5 可能与成分浓度和健康结果相关,因此与PM 2.5 更为紧密相关的成分甚至可能比其他成分与不良健康结果的相关性更高。如果它们本身没有毒性。因此,在这些分析中正确考虑PM 2.5 可能造成的混淆很重要。通常,混淆是由于与暴露和结果不同的因素引起的。但是,由于成分是PM 2.5 的组成部分,因此标准协变量调整是不合适的。类似的考虑也适用于按源分配的浓度和评估成分的短期或长期影响的研究。作者利用2003年至2008年间波士顿缺血性卒中医疗中心收治的18种成分的数据和1,060名患者的数据,作者阐述了几种建模成分与健康结局之间关系的选项,这些原因解释了PM 2.5 < / sub>。尽管不同的方法产生的结果具有不同的解释,但各模型中成分与缺血性卒中之间关联的相对排名相当一致。

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