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Evaluating the application of multipollutant exposure metrics in air pollution health studies

机译:评估多污染物暴露指标在空气污染健康研究中的应用

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摘要

Background: Health effects associatedwith air pollution are typically evaluated using a single pollutant approach, yet people are exposed to mixtures consisting of multiple pollutants that may have independent or combined effects on human health. Development of exposure metrics that represent the multipollutant environment is important to understand the impact of ambient air pollution on human health. Objectives:We reviewed existing multipollutant exposure metrics to evaluate howthey can be applied to understand associations between air pollution and health effects. Methods: We conducted a literature search using both targeted search terms and a relational search in Web of Science and PubMed in April and December 2013. We focused on exposure metrics that are constructed from ambient pollutant concentrations and can be broadly applied to evaluate air pollution health effects. Results: Multipollutant exposure metrics were identified in 57 eligible studies. Metrics reviewed can be categorized into broad pollutant grouping paradigms based on: 1) source emissions and atmospheric processes or 2) common health outcomes. Discussion: When comparing metrics, it is apparent that no universal exposure metric exists; each type of metric addresses different research questions and provides unique information on human health effects. Key limitations of these metrics include the balance between complexity and simplicity as well as the lack of an existing “gold standard” for multipollutant health effects and exposure. Conclusions: Future work on characterizing multipollutant exposure error and joint effects will inform development of improved multipollutant metrics to advance air pollution health effects research and human health risk assessment
机译:背景:与空气污染相关的健康影响通常使用单一污染物方法进行评估,但是人们会接触到多种污染物构成的混合物,这些污染物可能对人类健康产生独立或综合影响。制定代表多种污染物环境的暴露指标对于理解周围空气污染对人类健康的影响非常重要。目标:我们回顾了现有的多种污染物接触指标,以评估如何将其应用于了解空气污染与健康影响之间的关联。方法:我们于2013年4月和2013年12月在Web of Science和PubMed中使用目标搜索词和相关搜索进行了文献搜索。我们重点研究了由环境污染物浓度构成的暴露指标,这些指标可广泛用于评估空气污染健康效果。结果:在57项合格研究中确定了多污染物暴露量度。可以基于以下因素将审查的指标归类为广义的污染物分类范式:1)排放源和大气过程,或2)共同的健康结果。讨论:比较指标时,很明显不存在通用暴露指标;每种指标都解决了不同的研究问题,并提供了有关人类健康影响的独特信息。这些指标的主要限制包括复杂性和简单性之间的平衡,以及缺乏针对多种污染物的健康影响和暴露的现有“金标准”。结论:表征多污染物暴露误差和联合效应的未来工作将为改进多污染物指标的发展提供信息,从而促进空气污染健康效应研究和人类健康风险评估

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