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Estimating Inorganic Arsenic Exposure from U.S. Rice and Total Water Intakes
BACKGROUND: Among nonoccupationally exposed U.S. residents, drinking water and diet are considered primary exposure pathways for inorganic arsenic (iAs). In drinking water, iAs is the primary form of arsenic (As), while dietary As speciation techniques are used to differentiate iAs from less toxic a...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Environmental Health Perspectives
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5726353/ https://www.ncbi.nlm.nih.gov/pubmed/28572075 http://dx.doi.org/10.1289/EHP418 |
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author | Mantha, Madhavi Yeary, Edward Trent, John Creed, Patricia A. Kubachka, Kevin Hanley, Traci Shockey, Nohora Heitkemper, Douglas Caruso, Joseph Xue, Jianping Rice, Glenn Wymer, Larry Creed, John T. |
author_facet | Mantha, Madhavi Yeary, Edward Trent, John Creed, Patricia A. Kubachka, Kevin Hanley, Traci Shockey, Nohora Heitkemper, Douglas Caruso, Joseph Xue, Jianping Rice, Glenn Wymer, Larry Creed, John T. |
author_sort | Mantha, Madhavi |
collection | PubMed |
description | BACKGROUND: Among nonoccupationally exposed U.S. residents, drinking water and diet are considered primary exposure pathways for inorganic arsenic (iAs). In drinking water, iAs is the primary form of arsenic (As), while dietary As speciation techniques are used to differentiate iAs from less toxic arsenicals in food matrices. OBJECTIVES: Our goal was to estimate the distribution of iAs exposure rates from drinking water intakes and rice consumption in the U.S. population and ethnic- and age-based subpopulations. METHODS: The distribution of iAs in drinking water was estimated by population, weighting the iAs concentrations for each drinking water utility in the Second Six-Year Review data set. To estimate the distribution of iAs concentrations in rice ingested by U.S. consumers, 54 grain-specific, production-weighted composites of rice obtained from U.S. mills were extracted and speciated using both a quantitative dilute nitric acid extraction and speciation (DNAS) and an in vitro gastrointestinal assay to provide an upper bound and bioaccessible estimates, respectively. Daily drinking water intake and rice consumption rate distributions were developed using data from the What We Eat in America (WWEIA) study. RESULTS: Using these data sets, the Stochastic Human Exposure and Dose Simulation (SHEDS) model estimated mean iAs exposures from drinking water and rice were [Formula: see text] and [Formula: see text] , respectively, for the entire U.S. population. The Tribal, Asian, and Pacific population exhibited the highest mean daily exposure of iAs from cooked rice ([Formula: see text]); the mean exposure rate for children between ages 1 and 2 years in this population is [Formula: see text] body weight (BW)/day. CONCLUSIONS: An average consumer drinking 1.5 L of water daily that contains between 2 and [Formula: see text] is exposed to approximately the same amount of iAs as a mean Tribal, Asian, and Pacific consumer is exposed to from rice. https://doi.org/10.1289/EHP418 |
format | Online Article Text |
id | pubmed-5726353 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Environmental Health Perspectives |
record_format | MEDLINE/PubMed |
spelling | pubmed-57263532017-12-14 Estimating Inorganic Arsenic Exposure from U.S. Rice and Total Water Intakes Mantha, Madhavi Yeary, Edward Trent, John Creed, Patricia A. Kubachka, Kevin Hanley, Traci Shockey, Nohora Heitkemper, Douglas Caruso, Joseph Xue, Jianping Rice, Glenn Wymer, Larry Creed, John T. Environ Health Perspect Research BACKGROUND: Among nonoccupationally exposed U.S. residents, drinking water and diet are considered primary exposure pathways for inorganic arsenic (iAs). In drinking water, iAs is the primary form of arsenic (As), while dietary As speciation techniques are used to differentiate iAs from less toxic arsenicals in food matrices. OBJECTIVES: Our goal was to estimate the distribution of iAs exposure rates from drinking water intakes and rice consumption in the U.S. population and ethnic- and age-based subpopulations. METHODS: The distribution of iAs in drinking water was estimated by population, weighting the iAs concentrations for each drinking water utility in the Second Six-Year Review data set. To estimate the distribution of iAs concentrations in rice ingested by U.S. consumers, 54 grain-specific, production-weighted composites of rice obtained from U.S. mills were extracted and speciated using both a quantitative dilute nitric acid extraction and speciation (DNAS) and an in vitro gastrointestinal assay to provide an upper bound and bioaccessible estimates, respectively. Daily drinking water intake and rice consumption rate distributions were developed using data from the What We Eat in America (WWEIA) study. RESULTS: Using these data sets, the Stochastic Human Exposure and Dose Simulation (SHEDS) model estimated mean iAs exposures from drinking water and rice were [Formula: see text] and [Formula: see text] , respectively, for the entire U.S. population. The Tribal, Asian, and Pacific population exhibited the highest mean daily exposure of iAs from cooked rice ([Formula: see text]); the mean exposure rate for children between ages 1 and 2 years in this population is [Formula: see text] body weight (BW)/day. CONCLUSIONS: An average consumer drinking 1.5 L of water daily that contains between 2 and [Formula: see text] is exposed to approximately the same amount of iAs as a mean Tribal, Asian, and Pacific consumer is exposed to from rice. https://doi.org/10.1289/EHP418 Environmental Health Perspectives 2017-05-30 /pmc/articles/PMC5726353/ /pubmed/28572075 http://dx.doi.org/10.1289/EHP418 Text en EHP is an open-access journal published with support from the National Institute of Environmental Health Sciences, National Institutes of Health. All content is public domain unless otherwise noted. |
spellingShingle | Research Mantha, Madhavi Yeary, Edward Trent, John Creed, Patricia A. Kubachka, Kevin Hanley, Traci Shockey, Nohora Heitkemper, Douglas Caruso, Joseph Xue, Jianping Rice, Glenn Wymer, Larry Creed, John T. Estimating Inorganic Arsenic Exposure from U.S. Rice and Total Water Intakes |
title | Estimating Inorganic Arsenic Exposure from U.S. Rice and Total Water Intakes |
title_full | Estimating Inorganic Arsenic Exposure from U.S. Rice and Total Water Intakes |
title_fullStr | Estimating Inorganic Arsenic Exposure from U.S. Rice and Total Water Intakes |
title_full_unstemmed | Estimating Inorganic Arsenic Exposure from U.S. Rice and Total Water Intakes |
title_short | Estimating Inorganic Arsenic Exposure from U.S. Rice and Total Water Intakes |
title_sort | estimating inorganic arsenic exposure from u.s. rice and total water intakes |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5726353/ https://www.ncbi.nlm.nih.gov/pubmed/28572075 http://dx.doi.org/10.1289/EHP418 |
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