Consensus Modeling of Median Chemical Intake for the U.S. Population Based on Predictions of Exposure Pathways

Caroline L. Ring, Jon A. Arnot, Deborah H Bennett, Peter P. Egeghy, Peter Fantke, Lei Huang, Kristin K. Isaacs, Olivier Jolliet, Katherine A. Phillips, Paul S. Price, Hyeong Moo Shin, John N. Westgate, R. Woodrow Setzer, John F. Wambaugh

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Prioritizing the potential risk posed to human health by chemicals requires tools that can estimate exposure from limited information. In this study, chemical structure and physicochemical properties were used to predict the probability that a chemical might be associated with any of four exposure pathways leading from sources-consumer (near-field), dietary, far-field industrial, and far-field pesticide-to the general population. The balanced accuracies of these source-based exposure pathway models range from 73 to 81%, with the error rate for identifying positive chemicals ranging from 17 to 36%. We then used exposure pathways to organize predictions from 13 different exposure models as well as other predictors of human intake rates. We created a consensus, meta-model using the Systematic Empirical Evaluation of Models framework in which the predictors of exposure were combined by pathway and weighted according to predictive ability for chemical intake rates inferred from human biomonitoring data for 114 chemicals. The consensus model yields an R 2 of ∼0.8. We extrapolate to predict relevant pathway(s), median intake rate, and credible interval for 479 926 chemicals, mostly with minimal exposure information. This approach identifies 1880 chemicals for which the median population intake rates may exceed 0.1 mg/kg bodyweight/day, while there is 95% confidence that the median intake rate is below 1 μg/kg BW/day for 474572 compounds.

Original languageEnglish (US)
Pages (from-to)719-732
Number of pages14
JournalEnvironmental Science and Technology
Volume53
Issue number2
DOIs
StatePublished - Jan 15 2019

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prediction
modeling
physicochemical property
biomonitoring
exposure
chemical
Pesticides
rate
pesticide
Health

ASJC Scopus subject areas

  • Chemistry(all)
  • Environmental Chemistry

Cite this

Consensus Modeling of Median Chemical Intake for the U.S. Population Based on Predictions of Exposure Pathways. / Ring, Caroline L.; Arnot, Jon A.; Bennett, Deborah H; Egeghy, Peter P.; Fantke, Peter; Huang, Lei; Isaacs, Kristin K.; Jolliet, Olivier; Phillips, Katherine A.; Price, Paul S.; Shin, Hyeong Moo; Westgate, John N.; Setzer, R. Woodrow; Wambaugh, John F.

In: Environmental Science and Technology, Vol. 53, No. 2, 15.01.2019, p. 719-732.

Research output: Contribution to journalArticle

Ring, CL, Arnot, JA, Bennett, DH, Egeghy, PP, Fantke, P, Huang, L, Isaacs, KK, Jolliet, O, Phillips, KA, Price, PS, Shin, HM, Westgate, JN, Setzer, RW & Wambaugh, JF 2019, 'Consensus Modeling of Median Chemical Intake for the U.S. Population Based on Predictions of Exposure Pathways', Environmental Science and Technology, vol. 53, no. 2, pp. 719-732. https://doi.org/10.1021/acs.est.8b04056
Ring, Caroline L. ; Arnot, Jon A. ; Bennett, Deborah H ; Egeghy, Peter P. ; Fantke, Peter ; Huang, Lei ; Isaacs, Kristin K. ; Jolliet, Olivier ; Phillips, Katherine A. ; Price, Paul S. ; Shin, Hyeong Moo ; Westgate, John N. ; Setzer, R. Woodrow ; Wambaugh, John F. / Consensus Modeling of Median Chemical Intake for the U.S. Population Based on Predictions of Exposure Pathways. In: Environmental Science and Technology. 2019 ; Vol. 53, No. 2. pp. 719-732.
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