Characterizing Risk for Cumulative Risk Assessments

• Published in: Risk analysis Vol. 38; no. 6; pp. 1183 - 1201
• Main Authors: MacDonell, Margaret M., Hertzberg, Richard C., Rice, Glenn E., Wright, J. Michael, Teuschler, Linda K.
• Format: Journal Article
• Language: English
• Published: United States Blackwell Publishing Ltd 01-06-2018
• Subjects: Chemicals; Cumulative risk assessment; Ecological risk assessment; Environmental assessment; Environmental conditions; Environmental health; Exposure; Health risk assessment; Health risks; multiple stressors; Organic chemistry; Pollutants; Pollution sources; Population; Public health; Risk assessment; risk characterization; Toxicity; Uncertainty; Uncertainty analysis; risk characterization; Cumulative risk assessment; multiple stressors
• ISSN: 0272-4332; 1539-6924
• DOI: 10.1111/risa.12933

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.