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Distribution and Dietary Predictors of Urinary Phthalate Metabolites among Pregnant Women in Shanghai, China
The exposure of pregnant women to phthalates is a major concern due to their adverse effect on developmental outcomes. Diet is an important pathway for exposure to phthalate compounds. Nevertheless, studies on dietary exposure of pregnant women to phthalates in China are limited. We aimed to assess...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6518169/ https://www.ncbi.nlm.nih.gov/pubmed/30995748 http://dx.doi.org/10.3390/ijerph16081366 |
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author | He, Xin Zang, Jiajie Liao, Ping Zheng, Yang Lu, Ye Zhu, Zhenni Shi, Yan Wang, Wenjing |
author_facet | He, Xin Zang, Jiajie Liao, Ping Zheng, Yang Lu, Ye Zhu, Zhenni Shi, Yan Wang, Wenjing |
author_sort | He, Xin |
collection | PubMed |
description | The exposure of pregnant women to phthalates is a major concern due to their adverse effect on developmental outcomes. Diet is an important pathway for exposure to phthalate compounds. Nevertheless, studies on dietary exposure of pregnant women to phthalates in China are limited. We aimed to assess the distribution and dietary predictors of phthalate exposure among pregnant women in China. We measured the levels of 10 urinary phthalate metabolites using high-performance liquid chromatography coupled with tandem mass spectrometry in 210 pregnant women as part of the 2015 China National Chronic Disease and Nutrition Survey in Shanghai. We assessed the urinary specific gravity-adjusted phthalate metabolite levels along with potential demographic and dietary predictors. Multivariable linear regression analysis was used to examine the relationship between each potential demographic variable and dietary predictor and urinary phthalate metabolites. Seven urinary phthalate metabolites were detected in >95% of pregnant women. The geometric mean (GM) of urinary phthalate biomarker values were highest for monobutyl phthalate (GM: 25.29 ng/mL) and monoisobutyl phthalate (GM:11.18 ng/mL). Multivariate regression analysis indicated that a lower educational level was associated with elevated urinary phthalate metabolite levels. Edible seaweed consumption had a positive correlation with urinary monoethyl phthalate and monoisobutyl phthalate levels, and the total molar sum of Di-(2-ethylhexyl) phthalate metabolites. These findings offer important data on the dietary exposure to phthalates in pregnant Chinese women and suggest interventions to improve food safety. |
format | Online Article Text |
id | pubmed-6518169 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-65181692019-05-31 Distribution and Dietary Predictors of Urinary Phthalate Metabolites among Pregnant Women in Shanghai, China He, Xin Zang, Jiajie Liao, Ping Zheng, Yang Lu, Ye Zhu, Zhenni Shi, Yan Wang, Wenjing Int J Environ Res Public Health Article The exposure of pregnant women to phthalates is a major concern due to their adverse effect on developmental outcomes. Diet is an important pathway for exposure to phthalate compounds. Nevertheless, studies on dietary exposure of pregnant women to phthalates in China are limited. We aimed to assess the distribution and dietary predictors of phthalate exposure among pregnant women in China. We measured the levels of 10 urinary phthalate metabolites using high-performance liquid chromatography coupled with tandem mass spectrometry in 210 pregnant women as part of the 2015 China National Chronic Disease and Nutrition Survey in Shanghai. We assessed the urinary specific gravity-adjusted phthalate metabolite levels along with potential demographic and dietary predictors. Multivariable linear regression analysis was used to examine the relationship between each potential demographic variable and dietary predictor and urinary phthalate metabolites. Seven urinary phthalate metabolites were detected in >95% of pregnant women. The geometric mean (GM) of urinary phthalate biomarker values were highest for monobutyl phthalate (GM: 25.29 ng/mL) and monoisobutyl phthalate (GM:11.18 ng/mL). Multivariate regression analysis indicated that a lower educational level was associated with elevated urinary phthalate metabolite levels. Edible seaweed consumption had a positive correlation with urinary monoethyl phthalate and monoisobutyl phthalate levels, and the total molar sum of Di-(2-ethylhexyl) phthalate metabolites. These findings offer important data on the dietary exposure to phthalates in pregnant Chinese women and suggest interventions to improve food safety. MDPI 2019-04-16 2019-04 /pmc/articles/PMC6518169/ /pubmed/30995748 http://dx.doi.org/10.3390/ijerph16081366 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article He, Xin Zang, Jiajie Liao, Ping Zheng, Yang Lu, Ye Zhu, Zhenni Shi, Yan Wang, Wenjing Distribution and Dietary Predictors of Urinary Phthalate Metabolites among Pregnant Women in Shanghai, China |
title | Distribution and Dietary Predictors of Urinary Phthalate Metabolites among Pregnant Women in Shanghai, China |
title_full | Distribution and Dietary Predictors of Urinary Phthalate Metabolites among Pregnant Women in Shanghai, China |
title_fullStr | Distribution and Dietary Predictors of Urinary Phthalate Metabolites among Pregnant Women in Shanghai, China |
title_full_unstemmed | Distribution and Dietary Predictors of Urinary Phthalate Metabolites among Pregnant Women in Shanghai, China |
title_short | Distribution and Dietary Predictors of Urinary Phthalate Metabolites among Pregnant Women in Shanghai, China |
title_sort | distribution and dietary predictors of urinary phthalate metabolites among pregnant women in shanghai, china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6518169/ https://www.ncbi.nlm.nih.gov/pubmed/30995748 http://dx.doi.org/10.3390/ijerph16081366 |
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