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Influence of living in the same home on biomonitored levels of consumer product chemicals
BACKGROUND: Individuals living in the same home may share exposures from direct contact with sources or indirectly through contamination of the home environment. OBJECTIVE: We investigated the influence of sharing a home on urine levels of ten phenolic chemicals present in some consumer products. ME...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9731902/ https://www.ncbi.nlm.nih.gov/pubmed/34257390 http://dx.doi.org/10.1038/s41370-021-00368-8 |
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author | Dodson, Robin E. Setzer, R. Woodrow Spengler, John D. Brody, Julia G. Rudel, Ruthann A. Cedeño Laurent, Jose Guillermo |
author_facet | Dodson, Robin E. Setzer, R. Woodrow Spengler, John D. Brody, Julia G. Rudel, Ruthann A. Cedeño Laurent, Jose Guillermo |
author_sort | Dodson, Robin E. |
collection | PubMed |
description | BACKGROUND: Individuals living in the same home may share exposures from direct contact with sources or indirectly through contamination of the home environment. OBJECTIVE: We investigated the influence of sharing a home on urine levels of ten phenolic chemicals present in some consumer products. METHODS: We used data from Silent Spring Institute’s Detox Me Action Kit (DMAK), a crowdsourced biomonitoring program in the US. Of the 726 DMAK participants, 185 lived in the same home with one or more other DMAK participants (n = 137 pairs, up to six participants in a home). The concentration distributions included values below the detection limit so we used statistical methods that account for left-censored data, including non-parametric correlation estimation and hierarchical Bayesian regression models. RESULTS: Concentrations were significantly positively correlated between pair-members sharing a home for nine of the ten chemicals. Concentrations of 2,5-dichlorophenol were the most strongly correlated between pair-members (tau = 0.46), followed by benzophenone-3 (tau = 0.31) and bisphenol A (tau = 0.21). The relative contribution of personal product use reported product use of other household members (up to 5 others), and the residual contribution from a shared household, including exposures not asked about, varied by chemical. Paraben concentrations were largely influenced by personal behaviors whereas dichlorophenol and bisphenol concentrations were largely influenced by shared home exposures not related to reported behaviors. SIGNIFICANCE: Measuring the influence of personal and household practices on biomonitoring exposures helps pinpoint major sources of exposure and highlights chemical-specific intervention strategies to reduce them. |
format | Online Article Text |
id | pubmed-9731902 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group US |
record_format | MEDLINE/PubMed |
spelling | pubmed-97319022022-12-10 Influence of living in the same home on biomonitored levels of consumer product chemicals Dodson, Robin E. Setzer, R. Woodrow Spengler, John D. Brody, Julia G. Rudel, Ruthann A. Cedeño Laurent, Jose Guillermo J Expo Sci Environ Epidemiol Article BACKGROUND: Individuals living in the same home may share exposures from direct contact with sources or indirectly through contamination of the home environment. OBJECTIVE: We investigated the influence of sharing a home on urine levels of ten phenolic chemicals present in some consumer products. METHODS: We used data from Silent Spring Institute’s Detox Me Action Kit (DMAK), a crowdsourced biomonitoring program in the US. Of the 726 DMAK participants, 185 lived in the same home with one or more other DMAK participants (n = 137 pairs, up to six participants in a home). The concentration distributions included values below the detection limit so we used statistical methods that account for left-censored data, including non-parametric correlation estimation and hierarchical Bayesian regression models. RESULTS: Concentrations were significantly positively correlated between pair-members sharing a home for nine of the ten chemicals. Concentrations of 2,5-dichlorophenol were the most strongly correlated between pair-members (tau = 0.46), followed by benzophenone-3 (tau = 0.31) and bisphenol A (tau = 0.21). The relative contribution of personal product use reported product use of other household members (up to 5 others), and the residual contribution from a shared household, including exposures not asked about, varied by chemical. Paraben concentrations were largely influenced by personal behaviors whereas dichlorophenol and bisphenol concentrations were largely influenced by shared home exposures not related to reported behaviors. SIGNIFICANCE: Measuring the influence of personal and household practices on biomonitoring exposures helps pinpoint major sources of exposure and highlights chemical-specific intervention strategies to reduce them. Nature Publishing Group US 2021-07-13 2022 /pmc/articles/PMC9731902/ /pubmed/34257390 http://dx.doi.org/10.1038/s41370-021-00368-8 Text en © The Author(s) 2021 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Dodson, Robin E. Setzer, R. Woodrow Spengler, John D. Brody, Julia G. Rudel, Ruthann A. Cedeño Laurent, Jose Guillermo Influence of living in the same home on biomonitored levels of consumer product chemicals |
title | Influence of living in the same home on biomonitored levels of consumer product chemicals |
title_full | Influence of living in the same home on biomonitored levels of consumer product chemicals |
title_fullStr | Influence of living in the same home on biomonitored levels of consumer product chemicals |
title_full_unstemmed | Influence of living in the same home on biomonitored levels of consumer product chemicals |
title_short | Influence of living in the same home on biomonitored levels of consumer product chemicals |
title_sort | influence of living in the same home on biomonitored levels of consumer product chemicals |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9731902/ https://www.ncbi.nlm.nih.gov/pubmed/34257390 http://dx.doi.org/10.1038/s41370-021-00368-8 |
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