Investigating the mixture of air pollutants associated with adverse health outcomes
Investigating the mixture of air pollutants associated with adverse health outcomes
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DOI：
10.1016/j.atmosenv.2005.10.022
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发表时间：
2006-02-01
影响因子：
5
通讯作者：
Martin, MA
中科院分区：
文献类型：
--
作者：
Roberts, S;Martin, MA
大多数关于多种空气污染物对健康不利影响的研究都是通过将多种污染物同时输入泊松对数线性模型来分析所涉及的时间序列。有人对这类分析提出了关切，并指出，需要开发新的方法或模型来调查多种空气污染物对健康的不利影响。为此，最近有人指出，假设存在一种被认为对健康有害的污染物混合物可能更合理，评估一种空气污染混合物对健康的不利影响可能比试图隔离个别污染物的影响更有意义和更站得住脚。本文介绍了一个新的模型，该模型能够揭示与不良健康后果相关的污染物混合物以及这种混合物对不良健康后果的影响。与传统的估算多种空气污染物对健康的不利影响的方法相比，该模型具有许多优势。此外，该模型还被证明是对先前提出的估计与不利健康后果相关的污染物混合物的方法的改进，并且在某种程度上是临时的。(C)2005爱思唯尔有限公司。保留所有权利。
Most investigations of the adverse health effects of multiple air pollutants analyse the time series involved by simultaneously entering the multiple pollutants into a Poisson log-linear model. Concerns have been raised about this type of analysis, and it has been stated that new methodologies or models need to be developed for investigating the adverse health effects of multiple air pollutants. To this end, it has recently been stated that it may be more reasonable to assume that there is a mixture of pollutants considered harmful to health and that assessing the adverse health effects of an air pollution mix may be both more meaningful and more tenable than attempting to isolate the effects of individual pollutants. In this paper, a new model is introduced that is able to reveal the mixture of pollutants associated with an adverse health outcome and the effect of this mixture on the adverse health outcome. The model is shown to have a number of advantages over the traditional method of estimating the adverse health effects of multiple air pollutants. In addition, the model is also shown to be an improvement over a previously proposed, and somewhat ad-hoc, method for estimating the mixture of pollutants associated with an adverse health outcome. (c) 2005 Elsevier Ltd. All rights reserved.