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Model based prediction of age-specific soil and dust ingestion rates for children
BACKGROUND: Soil and dust ingestion can be a primary route of environmental exposures. Studies have shown that young children are more vulnerable to incidental soil and dust ingestion. However, available data to develop soil and dust ingestion rates for some child-specific age groups are either lack...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9119852/ https://www.ncbi.nlm.nih.gov/pubmed/35039613 http://dx.doi.org/10.1038/s41370-021-00406-5 |
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author | Özkaynak, Haluk Glen, Graham Cohen, Jonathan Hubbard, Heidi Thomas, Kent Phillips, Linda Tulve, Nicolle |
author_facet | Özkaynak, Haluk Glen, Graham Cohen, Jonathan Hubbard, Heidi Thomas, Kent Phillips, Linda Tulve, Nicolle |
author_sort | Özkaynak, Haluk |
collection | PubMed |
description | BACKGROUND: Soil and dust ingestion can be a primary route of environmental exposures. Studies have shown that young children are more vulnerable to incidental soil and dust ingestion. However, available data to develop soil and dust ingestion rates for some child-specific age groups are either lacking or uncertain. OBJECTIVE: Our objective was to use the Stochastic Human Exposure and Dose Simulation Soil and Dust (SHEDS-Soil/Dust) model to estimate distributions of soil and dust ingestion rates for ten age ranges from infancy to late adolescents (birth to 21 years). METHODS: We developed approaches for modeling age groups previously not studied, including a new exposure scenario for infants to capture exposures to indoor dust via pacifier use and accounting for use of blankets that act as a barrier to soil and dust exposure. RESULTS: Overall mean soil and dust ingestion rates ranged from ~35 mg/day (infants, 0–<6 m) to ~60 mg/day (toddlers and young children, 6m–<11 yr) and were considerably lower (about 20 mg/day) for teenagers and late adolescents (16–<21 y). The pacifier use scenario contributed about 20 mg/day to the median dust ingestion rate for young infants. Except for the infant age groups, seasonal analysis showed that the modeled estimates of average summer mean daily total soil plus dust ingestion rates were about 50% higher than the values predicted for the winter months. Pacifier use factors and carpet dust loading values were drivers of exposure for infants and younger children. For older children, influential variables included carpet dust loading, soil adherence, and factors that capture the frequency and intensity of hand-to-mouth behaviors. SIGNIFICANCE: These results provide modeled estimates of children’s soil and dust ingestion rates for use in decision making using real-world exposure considerations. IMPACT STATEMENT: The parameterization of scenarios to capture infant soil and dust ingestion and the application of SHEDS-Soil/Dust to a broader age range of children provides additional estimates of soil and dust ingestion rates that are useful in refining population-based risk assessments. These data illuminate drivers of exposure that are useful to both risk management applications and for designing future studies that improve upon existing tracer methodologies. |
format | Online Article Text |
id | pubmed-9119852 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group US |
record_format | MEDLINE/PubMed |
spelling | pubmed-91198522022-05-21 Model based prediction of age-specific soil and dust ingestion rates for children Özkaynak, Haluk Glen, Graham Cohen, Jonathan Hubbard, Heidi Thomas, Kent Phillips, Linda Tulve, Nicolle J Expo Sci Environ Epidemiol Article BACKGROUND: Soil and dust ingestion can be a primary route of environmental exposures. Studies have shown that young children are more vulnerable to incidental soil and dust ingestion. However, available data to develop soil and dust ingestion rates for some child-specific age groups are either lacking or uncertain. OBJECTIVE: Our objective was to use the Stochastic Human Exposure and Dose Simulation Soil and Dust (SHEDS-Soil/Dust) model to estimate distributions of soil and dust ingestion rates for ten age ranges from infancy to late adolescents (birth to 21 years). METHODS: We developed approaches for modeling age groups previously not studied, including a new exposure scenario for infants to capture exposures to indoor dust via pacifier use and accounting for use of blankets that act as a barrier to soil and dust exposure. RESULTS: Overall mean soil and dust ingestion rates ranged from ~35 mg/day (infants, 0–<6 m) to ~60 mg/day (toddlers and young children, 6m–<11 yr) and were considerably lower (about 20 mg/day) for teenagers and late adolescents (16–<21 y). The pacifier use scenario contributed about 20 mg/day to the median dust ingestion rate for young infants. Except for the infant age groups, seasonal analysis showed that the modeled estimates of average summer mean daily total soil plus dust ingestion rates were about 50% higher than the values predicted for the winter months. Pacifier use factors and carpet dust loading values were drivers of exposure for infants and younger children. For older children, influential variables included carpet dust loading, soil adherence, and factors that capture the frequency and intensity of hand-to-mouth behaviors. SIGNIFICANCE: These results provide modeled estimates of children’s soil and dust ingestion rates for use in decision making using real-world exposure considerations. IMPACT STATEMENT: The parameterization of scenarios to capture infant soil and dust ingestion and the application of SHEDS-Soil/Dust to a broader age range of children provides additional estimates of soil and dust ingestion rates that are useful in refining population-based risk assessments. These data illuminate drivers of exposure that are useful to both risk management applications and for designing future studies that improve upon existing tracer methodologies. Nature Publishing Group US 2022-01-17 2022 /pmc/articles/PMC9119852/ /pubmed/35039613 http://dx.doi.org/10.1038/s41370-021-00406-5 Text en © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Özkaynak, Haluk Glen, Graham Cohen, Jonathan Hubbard, Heidi Thomas, Kent Phillips, Linda Tulve, Nicolle Model based prediction of age-specific soil and dust ingestion rates for children |
title | Model based prediction of age-specific soil and dust ingestion rates for children |
title_full | Model based prediction of age-specific soil and dust ingestion rates for children |
title_fullStr | Model based prediction of age-specific soil and dust ingestion rates for children |
title_full_unstemmed | Model based prediction of age-specific soil and dust ingestion rates for children |
title_short | Model based prediction of age-specific soil and dust ingestion rates for children |
title_sort | model based prediction of age-specific soil and dust ingestion rates for children |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9119852/ https://www.ncbi.nlm.nih.gov/pubmed/35039613 http://dx.doi.org/10.1038/s41370-021-00406-5 |
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