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The association between air pollution and preterm birth and low birth weight in Guangdong, China

BACKGROUND: A mountain of evidence has shown that people’s physical and mental health can be affected by various air pollutions. Poor pregnancy outcomes are associated with exposure to air pollution. Therefore, this study aims to investigate the association between air pollutions (PM(2.5), PM(10), S...

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Autores principales: Liu, Ying, Xu, Jihong, Chen, Dian, Sun, Pei, Ma, Xu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6318948/
https://www.ncbi.nlm.nih.gov/pubmed/30606145
http://dx.doi.org/10.1186/s12889-018-6307-7
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author Liu, Ying
Xu, Jihong
Chen, Dian
Sun, Pei
Ma, Xu
author_facet Liu, Ying
Xu, Jihong
Chen, Dian
Sun, Pei
Ma, Xu
author_sort Liu, Ying
collection PubMed
description BACKGROUND: A mountain of evidence has shown that people’s physical and mental health can be affected by various air pollutions. Poor pregnancy outcomes are associated with exposure to air pollution. Therefore, this study aims to investigate the association between air pollutions (PM(2.5), PM(10), SO(2), NO(2), CO, and O(3)) and preterm birth/low birth weight in Guangdong province, China. METHOD: All maternal data and birth data from January 1, 2014 to December 31, 2015 were selected from a National Free Pre-pregnancy Check-ups system, and the daily air quality data of Guangdong Province was collected from China National Environmental Monitoring Center. 1784 women with either preterm birth information (n = 687) or low birth weight information (n = 1097) were used as experimental group. Control group included 1766 women with healthy birth information. Logistic regression models were employed to evaluate the effects of air pollutants on the risk of preterm birth and low birth weight. RESULTS: The pollution levels of PM(2.5), PM(10), SO(2), NO(2), CO, and O(3) in Guangdong province were all lower than the national air pollution concentrations. The concentrations of PM(2.5), PM(10), SO(2), NO(2) and CO had obvious seasonal trends with the highest in winter and the lowest in summer. O(3) concentrations in September (65.72 μg/m(3)) and October (84.18 μg/m(3)) were relatively higher. After controlling for the impact of confounding factors, the increases in the risk of preterm birth were associated with each 10 μg/m(3) increase in PM(2.5) (OR 1.043, 95% CI 1.01–1.09) and PM(10) (OR 1.039, 95% CI 1.01~1.14) during the first trimester and in PM(2.5) (OR 1.038, 95% CI 1.01~1.12), PM(10) (OR 1.024, 95% CI 1.02~1.09), SO(2) (OR 1.081, 95% CI 1.01~1.29), and O(3) (OR 1.016, 95% CI 1.004~1.35) during the third trimester. The increase in the risk of low birth weight was associated with PM(2.5), PM(10), NO(2), and O(3) in the first month and the last month. CONCLUSION: This study provides further evidence for the relationships between air pollutions and preterm birth/low birth weight. Pregnant women are recommended to reduce or avoid exposure to air pollutions during pregnancy, especially in the early and late stages of pregnancy.
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spelling pubmed-63189482019-01-08 The association between air pollution and preterm birth and low birth weight in Guangdong, China Liu, Ying Xu, Jihong Chen, Dian Sun, Pei Ma, Xu BMC Public Health Research Article BACKGROUND: A mountain of evidence has shown that people’s physical and mental health can be affected by various air pollutions. Poor pregnancy outcomes are associated with exposure to air pollution. Therefore, this study aims to investigate the association between air pollutions (PM(2.5), PM(10), SO(2), NO(2), CO, and O(3)) and preterm birth/low birth weight in Guangdong province, China. METHOD: All maternal data and birth data from January 1, 2014 to December 31, 2015 were selected from a National Free Pre-pregnancy Check-ups system, and the daily air quality data of Guangdong Province was collected from China National Environmental Monitoring Center. 1784 women with either preterm birth information (n = 687) or low birth weight information (n = 1097) were used as experimental group. Control group included 1766 women with healthy birth information. Logistic regression models were employed to evaluate the effects of air pollutants on the risk of preterm birth and low birth weight. RESULTS: The pollution levels of PM(2.5), PM(10), SO(2), NO(2), CO, and O(3) in Guangdong province were all lower than the national air pollution concentrations. The concentrations of PM(2.5), PM(10), SO(2), NO(2) and CO had obvious seasonal trends with the highest in winter and the lowest in summer. O(3) concentrations in September (65.72 μg/m(3)) and October (84.18 μg/m(3)) were relatively higher. After controlling for the impact of confounding factors, the increases in the risk of preterm birth were associated with each 10 μg/m(3) increase in PM(2.5) (OR 1.043, 95% CI 1.01–1.09) and PM(10) (OR 1.039, 95% CI 1.01~1.14) during the first trimester and in PM(2.5) (OR 1.038, 95% CI 1.01~1.12), PM(10) (OR 1.024, 95% CI 1.02~1.09), SO(2) (OR 1.081, 95% CI 1.01~1.29), and O(3) (OR 1.016, 95% CI 1.004~1.35) during the third trimester. The increase in the risk of low birth weight was associated with PM(2.5), PM(10), NO(2), and O(3) in the first month and the last month. CONCLUSION: This study provides further evidence for the relationships between air pollutions and preterm birth/low birth weight. Pregnant women are recommended to reduce or avoid exposure to air pollutions during pregnancy, especially in the early and late stages of pregnancy. BioMed Central 2019-01-03 /pmc/articles/PMC6318948/ /pubmed/30606145 http://dx.doi.org/10.1186/s12889-018-6307-7 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Liu, Ying
Xu, Jihong
Chen, Dian
Sun, Pei
Ma, Xu
The association between air pollution and preterm birth and low birth weight in Guangdong, China
title The association between air pollution and preterm birth and low birth weight in Guangdong, China
title_full The association between air pollution and preterm birth and low birth weight in Guangdong, China
title_fullStr The association between air pollution and preterm birth and low birth weight in Guangdong, China
title_full_unstemmed The association between air pollution and preterm birth and low birth weight in Guangdong, China
title_short The association between air pollution and preterm birth and low birth weight in Guangdong, China
title_sort association between air pollution and preterm birth and low birth weight in guangdong, china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6318948/
https://www.ncbi.nlm.nih.gov/pubmed/30606145
http://dx.doi.org/10.1186/s12889-018-6307-7
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