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A Possible Approach to Improving the Reproducibility of Urinary Concentrations of Phthalate Metabolites and Phenols during Pregnancy

In epidemiologic studies, classifying episodic exposures to chemicals with short half-lives, such as phthalates and phenols, is challenging. We assessed whether accounting for sources of variability unrelated to exposure pathways would improve the reproducibility of urine concentrations of select ph...

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Autores principales: Yazdy, Mahsa M., Coull, Brent A., Gardiner, Joseph C., Aguiar, Andrea, Calafat, Antonia M., Ye, Xiaoyun, Schantz, Susan L., Korrick, Susan A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6170163/
https://www.ncbi.nlm.nih.gov/pubmed/30018406
http://dx.doi.org/10.1038/s41370-018-0050-0
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author Yazdy, Mahsa M.
Coull, Brent A.
Gardiner, Joseph C.
Aguiar, Andrea
Calafat, Antonia M.
Ye, Xiaoyun
Schantz, Susan L.
Korrick, Susan A.
author_facet Yazdy, Mahsa M.
Coull, Brent A.
Gardiner, Joseph C.
Aguiar, Andrea
Calafat, Antonia M.
Ye, Xiaoyun
Schantz, Susan L.
Korrick, Susan A.
author_sort Yazdy, Mahsa M.
collection PubMed
description In epidemiologic studies, classifying episodic exposures to chemicals with short half-lives, such as phthalates and phenols, is challenging. We assessed whether accounting for sources of variability unrelated to exposure pathways would improve the reproducibility of urine concentrations of select phthalate metabolites and phenols. In 2011, a subset of pregnant women (n=19) enrolled in a prospective study provided first morning urines every 3-4 weeks between 16 and 36 weeks gestation. At the time of collection, we identified potential contributors to variations in urinary concentrations: weight gain, gestational age, time slept, time since awoke, time since last food/drink, and time since last void. We estimated intraclass correlation coefficients (ICCs) among repeat urine concentrations with and without adjustment for sources of variability using a random intercept linear mixed model. Concentrations of monoethyl phthalate, butyl- and propyl parabens were the most reproducible (ICCs: 0.68, 0.56, and 0.56 respectively). However, adjustment for potential sources of variability unrelated to exposure pathways did not materially improve reproducibility nor the ability of a single sample to predict exposure based on average biomarker concentrations across pregnancy. Future studies should carefully consider the exposure timeframe and the reliability of using biomarker concentrations from a single time point to represent exposures over pregnancy.
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spelling pubmed-61701632019-01-17 A Possible Approach to Improving the Reproducibility of Urinary Concentrations of Phthalate Metabolites and Phenols during Pregnancy Yazdy, Mahsa M. Coull, Brent A. Gardiner, Joseph C. Aguiar, Andrea Calafat, Antonia M. Ye, Xiaoyun Schantz, Susan L. Korrick, Susan A. J Expo Sci Environ Epidemiol Article In epidemiologic studies, classifying episodic exposures to chemicals with short half-lives, such as phthalates and phenols, is challenging. We assessed whether accounting for sources of variability unrelated to exposure pathways would improve the reproducibility of urine concentrations of select phthalate metabolites and phenols. In 2011, a subset of pregnant women (n=19) enrolled in a prospective study provided first morning urines every 3-4 weeks between 16 and 36 weeks gestation. At the time of collection, we identified potential contributors to variations in urinary concentrations: weight gain, gestational age, time slept, time since awoke, time since last food/drink, and time since last void. We estimated intraclass correlation coefficients (ICCs) among repeat urine concentrations with and without adjustment for sources of variability using a random intercept linear mixed model. Concentrations of monoethyl phthalate, butyl- and propyl parabens were the most reproducible (ICCs: 0.68, 0.56, and 0.56 respectively). However, adjustment for potential sources of variability unrelated to exposure pathways did not materially improve reproducibility nor the ability of a single sample to predict exposure based on average biomarker concentrations across pregnancy. Future studies should carefully consider the exposure timeframe and the reliability of using biomarker concentrations from a single time point to represent exposures over pregnancy. 2018-07-17 2018-09 /pmc/articles/PMC6170163/ /pubmed/30018406 http://dx.doi.org/10.1038/s41370-018-0050-0 Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Yazdy, Mahsa M.
Coull, Brent A.
Gardiner, Joseph C.
Aguiar, Andrea
Calafat, Antonia M.
Ye, Xiaoyun
Schantz, Susan L.
Korrick, Susan A.
A Possible Approach to Improving the Reproducibility of Urinary Concentrations of Phthalate Metabolites and Phenols during Pregnancy
title A Possible Approach to Improving the Reproducibility of Urinary Concentrations of Phthalate Metabolites and Phenols during Pregnancy
title_full A Possible Approach to Improving the Reproducibility of Urinary Concentrations of Phthalate Metabolites and Phenols during Pregnancy
title_fullStr A Possible Approach to Improving the Reproducibility of Urinary Concentrations of Phthalate Metabolites and Phenols during Pregnancy
title_full_unstemmed A Possible Approach to Improving the Reproducibility of Urinary Concentrations of Phthalate Metabolites and Phenols during Pregnancy
title_short A Possible Approach to Improving the Reproducibility of Urinary Concentrations of Phthalate Metabolites and Phenols during Pregnancy
title_sort possible approach to improving the reproducibility of urinary concentrations of phthalate metabolites and phenols during pregnancy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6170163/
https://www.ncbi.nlm.nih.gov/pubmed/30018406
http://dx.doi.org/10.1038/s41370-018-0050-0
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