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Price P. Interindividual Variation in Source-Specific Doses is a Determinant of Health Impacts of Combined Chemical Exposures. Risk Anal. 2020;40(12):2572-2583doi: 10.1111/risa.13550.
Price, P. (2020). Interindividual Variation in Source-Specific Doses is a Determinant of Health Impacts of Combined Chemical Exposures. Risk analysis : an official publication of the Society for Risk Analysis, 40(12), 2572-2583. https://doi.org/10.1111/risa.13550
Price, Paul. "Interindividual Variation in Source-Specific Doses is a Determinant of Health Impacts of Combined Chemical Exposures." Risk analysis : an official publication of the Society for Risk Analysis vol. 40,12 (2020): 2572-2583. doi: https://doi.org/10.1111/risa.13550
Price P. Interindividual Variation in Source-Specific Doses is a Determinant of Health Impacts of Combined Chemical Exposures. Risk Anal. 2020 Dec;40(12):2572-2583. doi: 10.1111/risa.13550. Epub 2020 Jul 15. PMID: 32671861; PMCID: PMC7818457.
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Risk Anal. 2020 Dec;40(12):2572-2583. doi: 10.1111/risa.13550. Epub 2020 Jul 15.

Interindividual Variation in Source-Specific Doses is a Determinant of Health Impacts of Combined Chemical Exposures.

Risk analysis : an official publication of the Society for Risk Analysis

Paul Price

Affiliations

  1. Office of Research and Development, United States Environmental Protection Agency, Washington, DC, USA.

PMID: 32671861 PMCID: PMC7818457 DOI: 10.1111/risa.13550

Abstract

All individuals are exposed to multiple chemicals from multiple sources. These combined exposures are a concern because they may cause adverse effects that would not occur from an exposure recieved from any single source. Studies of combined chemical exposures, however, have found that the risks posed by such combined exposures are almost always driven by exposures from a few chemicals and sources and frequently by a single chemical from a single source. Here, a series of computer simulations of combined exposures are used to investigate when multiple sources of chemicals drive the largest risks in a population and when a single chemical from a single source is responsible for the largest risks. The analysis found that combined exposures drive the largest risks when the interindividual variation of source-specific doses is small, moderate-to-high correlations occur between the source-specific doses, and the number of sources affecting an individual varies across individuals. These findings can be used to identify sources with the greatest potential to cause combined exposures of concern.

Published 2020. This article is a U.S. Government work and is in the public domain in the USA. Risk Analysis published by Wiley Periodicals LLC on behalf of Society for Risk Analysis.

Keywords: Chemical risk assessment; combined exposures; simulation modeling

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