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Early prenatal exposure to air pollutants and congenital heart disease: a nested case-control study
BACKGROUND: Congenital heart disease (CHD) is one of the most common congenital malformations in humans. Inconsistent results emerged in the existed studies on associations between air pollution and congenital heart disease. The purpose of this study was to evaluate the association of gestational ex...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Japanese Society for Hygiene
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9845069/ https://www.ncbi.nlm.nih.gov/pubmed/36642530 http://dx.doi.org/10.1265/ehpm.22-00138 |
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author | Ma, Zhao Li, Weiqin Yang, Jicui Qiao, Yijuan Cao, Xue Ge, Han Wang, Yue Liu, Hongyan Tang, Naijun Yang, Xueli Leng, Junhong |
author_facet | Ma, Zhao Li, Weiqin Yang, Jicui Qiao, Yijuan Cao, Xue Ge, Han Wang, Yue Liu, Hongyan Tang, Naijun Yang, Xueli Leng, Junhong |
author_sort | Ma, Zhao |
collection | PubMed |
description | BACKGROUND: Congenital heart disease (CHD) is one of the most common congenital malformations in humans. Inconsistent results emerged in the existed studies on associations between air pollution and congenital heart disease. The purpose of this study was to evaluate the association of gestational exposure to air pollutants with congenital heart disease, and to explore the critical exposure windows for congenital heart disease. METHODS: The nested case-control study collected birth records and the following health data in Tianjin Women and Children’s Health Center, China. All of the cases of congenital heart disease from 2013 to 2015 were selected matching five healthy controls for each case. Inverse distance weighting was used to estimate individual exposure based on daily air pollution data. Furthermore, the conditional logistic regression with distributed lag non-linear model was performed to identify the association between gestational exposure to air pollution and congenital heart disease. RESULTS: A total of 8,748 mother-infant pairs were entered into the analysis, of which 1,458 infants suffered from congenital heart disease. For each 10 µg/m(3) increase of gestational exposure to PM(2.5), the ORs (95% confidence interval, 95%CI) ranged from 1.008 (1.001–1.016) to 1.013 (1.001–1.024) during the 1(st)–2(nd) gestation weeks. Similar weak but increased risks of congenital heart disease were associated with O(3) exposure during the 1(st) week and SO(2) exposure during 6(th)–7(th) weeks in the first trimester, while no significant findings for other air pollutants. CONCLUSIONS: This study highlighted that gestational exposure to PM(2.5), O(3), and SO(2) had lag effects on congenital heart disease. Our results support potential benefits for pregnancy women to the mitigation of air pollution exposure in the early stage, especially when a critical exposure time window of air pollutants may precede heart development. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at https://doi.org/10.1265/ehpm.22-00138. |
format | Online Article Text |
id | pubmed-9845069 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Japanese Society for Hygiene |
record_format | MEDLINE/PubMed |
spelling | pubmed-98450692023-01-31 Early prenatal exposure to air pollutants and congenital heart disease: a nested case-control study Ma, Zhao Li, Weiqin Yang, Jicui Qiao, Yijuan Cao, Xue Ge, Han Wang, Yue Liu, Hongyan Tang, Naijun Yang, Xueli Leng, Junhong Environ Health Prev Med Research Article BACKGROUND: Congenital heart disease (CHD) is one of the most common congenital malformations in humans. Inconsistent results emerged in the existed studies on associations between air pollution and congenital heart disease. The purpose of this study was to evaluate the association of gestational exposure to air pollutants with congenital heart disease, and to explore the critical exposure windows for congenital heart disease. METHODS: The nested case-control study collected birth records and the following health data in Tianjin Women and Children’s Health Center, China. All of the cases of congenital heart disease from 2013 to 2015 were selected matching five healthy controls for each case. Inverse distance weighting was used to estimate individual exposure based on daily air pollution data. Furthermore, the conditional logistic regression with distributed lag non-linear model was performed to identify the association between gestational exposure to air pollution and congenital heart disease. RESULTS: A total of 8,748 mother-infant pairs were entered into the analysis, of which 1,458 infants suffered from congenital heart disease. For each 10 µg/m(3) increase of gestational exposure to PM(2.5), the ORs (95% confidence interval, 95%CI) ranged from 1.008 (1.001–1.016) to 1.013 (1.001–1.024) during the 1(st)–2(nd) gestation weeks. Similar weak but increased risks of congenital heart disease were associated with O(3) exposure during the 1(st) week and SO(2) exposure during 6(th)–7(th) weeks in the first trimester, while no significant findings for other air pollutants. CONCLUSIONS: This study highlighted that gestational exposure to PM(2.5), O(3), and SO(2) had lag effects on congenital heart disease. Our results support potential benefits for pregnancy women to the mitigation of air pollution exposure in the early stage, especially when a critical exposure time window of air pollutants may precede heart development. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at https://doi.org/10.1265/ehpm.22-00138. Japanese Society for Hygiene 2023-01-13 /pmc/articles/PMC9845069/ /pubmed/36642530 http://dx.doi.org/10.1265/ehpm.22-00138 Text en © The Author(s) 2023 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Ma, Zhao Li, Weiqin Yang, Jicui Qiao, Yijuan Cao, Xue Ge, Han Wang, Yue Liu, Hongyan Tang, Naijun Yang, Xueli Leng, Junhong Early prenatal exposure to air pollutants and congenital heart disease: a nested case-control study |
title | Early prenatal exposure to air pollutants and congenital heart disease: a nested case-control study |
title_full | Early prenatal exposure to air pollutants and congenital heart disease: a nested case-control study |
title_fullStr | Early prenatal exposure to air pollutants and congenital heart disease: a nested case-control study |
title_full_unstemmed | Early prenatal exposure to air pollutants and congenital heart disease: a nested case-control study |
title_short | Early prenatal exposure to air pollutants and congenital heart disease: a nested case-control study |
title_sort | early prenatal exposure to air pollutants and congenital heart disease: a nested case-control study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9845069/ https://www.ncbi.nlm.nih.gov/pubmed/36642530 http://dx.doi.org/10.1265/ehpm.22-00138 |
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