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首页> 外文期刊>Annals of epidemiology >Estimating the Health Effects of Exposure to Multi-Pollutant Mixture
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Estimating the Health Effects of Exposure to Multi-Pollutant Mixture

机译：估计多污染物混合物对健康的影响

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Purpose: Air pollution constitutes a major public health concern because of its ubiquity and of its potential health impact. Because individuals are exposed to many air pollutants at once that are highly correlated with each other, there is a need to consider the multi-pollutant exposure phenomenon. The characteristics of multiple pollutants that make statistical analysis of health-related effects of air pollution complex include the high correlation between pollutants prevents the use of standard statistical methods, the potential existence of interaction between pollutants, the common measurement errors, the importance of the number of pollutants to consider, and the potential nonlinear relationship between exposure and health. Methods: We made a review of statistical methods either used in the literature to study the effect of multiple pollutants or identified as potentially applicable to this problem. We reported the results of investigations that applied such methods. Results: Eighteen publications have investigated the multi-pollutant effects, 5 on indoor pollution, 10 on outdoor pollution, and 3 on statistical methodology with application on outdoor pollution. Some other publications have only addressed statistical methodology. Conclusions: The use of Hierarchical Bayesian approach, dimension reduction methods, clustering, recursive partitioning, and logic regression are some potential methods described. Methods that provide figures for risk assessments should be put forward in public health decisions.
机译：目的：空气污染因其普遍存在及其对健康的潜在影响而成为主要的公共卫生问题。由于个人一次暴露于彼此高度相关的许多空气污染物中，因此有必要考虑多种污染物的暴露现象。多种污染物的特征使得对空气污染的健康相关影响进行统计分析非常复杂，包括污染物之间的高度相关性阻止了使用标准统计方法，污染物之间可能存在相互作用，常见的测量误差，数量重要性要考虑的污染物以及暴露与健康之间的潜在非线性关系。方法：我们对统计方法进行了回顾，这些统计方法要么用于文献研究多种污染物的作用，要么被确定为可能适用于此问题。我们报告了应用此类方法的调查结果。结果：18种出版物研究了多种污染物的影响，其中5种对室内污染的影响，10种对室外污染的影响，以及3种对统计方法的影响，并应用于室外污染。其他一些出版物仅涉及统计方法。结论：使用分级贝叶斯方法，降维方法，聚类，递归分区和逻辑回归是一些潜在的方法。应在公共卫生决策中提出为风险评估提供数字的方法。

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