Statistical Methods for Assessing the Explained Variation of a Health Outcome by a Mixture of Exposures.

Statistical Methods for Assessing the Explained Variation of a Health Outcome by a Mixture of Exposures.
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DOI:
10.3390/ijerph19052693
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发表时间:
2022-02-25
影响因子:
--
通讯作者:
Turyk ME
Turyk ME
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Chen HY;Li H;Argos M;Persky VW;Turyk ME

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暴露在环境污染物中的往往是由于来源和/或化学结构相似而高度相关的化学品混合物。由于暴露于许多环境污染物的水平相对较低,单个化学品对健康结果的影响可能很弱,很难检测到。为了解决评估暴露在混合环境污染物中的健康风险这一具有挑战性的问题,我们提出了一种统计方法来评估由混合污染物解释的结果变化的比例。拟议的方法避免了确定造成影响的特定污染物的困难任务,还可以用来评估暴露之间的相互作用。大量的仿真结果表明,该方法具有很好的性能。通过调查化学污染物对国家健康和营养调查参与者的收缩和舒张压的主要和交互影响,说明了所提出的方法的应用。
Exposures to environmental pollutants are often composed of mixtures of chemicals that can be highly correlated because of similar sources and/or chemical structures. The effect of an individual chemical on a health outcome can be weak and difficult to detect because of the relatively low level of exposures to many environmental pollutants. To tackle the challenging problem of assessing the health risk of exposure to a mixture of environmental pollutants, we propose a statistical approach to assessing the proportion of the variation of an outcome explained by a mixture of pollutants. The proposed approach avoids the difficult task of identifying specific pollutants that are responsible for the effects and may also be used to assess interactions among exposures. Extensive simulation results demonstrate that the proposed approach has very good performance. Application of the proposed approach is illustrated by investigating the main and interaction effects of the chemical pollutants on systolic and diastolic blood pressure in participants from the National Health and Nutrition Examination Survey.
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