Characterizing Risk for Cumulative Risk Assessments

被引:6
|
作者
MacDonell, Margaret M. [1 ]
Hertzberg, Richard C. [2 ,3 ]
Rice, Glenn E. [4 ]
Wright, J. Michael [4 ]
Teuschler, Linda K. [5 ]
机构
[1] Argonne Natl Lab, Environm Sci Div, 9700 S Cass Ave, Argonne, IL 60439 USA
[2] Emory Univ, Biomath Consulting, Atlanta, GA 30322 USA
[3] Emory Univ, Dept Environm Hlth, Atlanta, GA 30322 USA
[4] US EPA, Off Res & Dev, Natl Ctr Environm Assessment, Cincinnati, OH 45268 USA
[5] Linda Teuschler & Associates, St Petersburg, FL USA
关键词
Cumulative risk assessment; multiple stressors; risk characterization; ENVIRONMENTAL JUSTICE; CHEMICAL-MIXTURES; AIR-POLLUTION; EXPOSURE; VULNERABILITY; DISPARITIES; FRAMEWORK; DISEASE; EPIDEMIOLOGY; METAANALYSIS;
D O I
10.1111/risa.12933
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
In assessing environmental health risks, the risk characterization step synthesizes information gathered in evaluating exposures to stressors together with dose-response relationships, characteristics of the exposed population, and external environmental conditions. This article summarizes key steps of a cumulative risk assessment (CRA) followed by a discussion of considerations for characterizing cumulative risks. Cumulative risk characterizations differ considerably from single chemical- or single source-based risk characterization. CRAs typically focus on a specific population instead of a pollutant or pollutant source and should include an evaluation of all relevant sources contributing to the exposures in the population and other factors that influence dose-response relationships. Second, CRAs may include influential environmental and population-specific conditions, involving multiple chemical and nonchemical stressors. Third, a CRA could examine multiple health effects, reflecting joint toxicity and the potential for toxicological interactions. Fourth, the complexities often necessitate simplifying methods, including judgment-based and semi-quantitative indices that collapse disparate data into numerical scores. Fifth, because of the higher dimensionality and potentially large number of interactions, information needed to quantify risk is typically incomplete, necessitating an uncertainty analysis. Three approaches that could be used for characterizing risks in a CRA are presented: the multiroute hazard index, stressor grouping by exposure and toxicity, and indices for screening multiple factors and conditions. Other key roles of the risk characterization in CRAs are also described, mainly the translational aspect of including a characterization summary for lay readers (in addition to the technical analysis), and placing the results in the context of the likely risk-based decisions.
引用
收藏
页码:1183 / 1201
页数:19
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