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Acute effects of air pollutants on adverse birth outcomes in Changsha, China: A population data with time-series analysis from 2015 to 2017
Evidence for the acute effects of air pollutants on adverse birth outcomes is not yet conclusive. Furthermore, there are no investigations relating to the association between air pollutants and macrosomia. The aim of this study was to determine the relationship between air pollutants and low birth w...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6370066/ https://www.ncbi.nlm.nih.gov/pubmed/30653143 http://dx.doi.org/10.1097/MD.0000000000014127 |
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author | Xiong, Lili Xu, Zenghui Tan, Jie Wang, Hua Liu, Zhiyu Wang, Aihua Xie, Donghua Kong, Fanjuan |
author_facet | Xiong, Lili Xu, Zenghui Tan, Jie Wang, Hua Liu, Zhiyu Wang, Aihua Xie, Donghua Kong, Fanjuan |
author_sort | Xiong, Lili |
collection | PubMed |
description | Evidence for the acute effects of air pollutants on adverse birth outcomes is not yet conclusive. Furthermore, there are no investigations relating to the association between air pollutants and macrosomia. The aim of this study was to determine the relationship between air pollutants and low birth weight, preterm birth, and macrosomia in Changsha. Time-series analysis, using a generalized additive model was applied. Data about the adverse birth outcomes was collected from 78 midwifery institutions. Air pollution data including SO(2), NO(2), particulate matter <10 μm in diameter (PM(10)), particulate matter <2.5 μm in diameter (PM(2.5)), O(3), CO, and climate data were respectively collected from the Changsha Environmental Protection Agency and the Changsha Meteorological Bureau from January 2015 to December 2017. During the study period, there were 344,880 live births to be studied. In a single pollutant model, for every increase of 10 μg/m(3) in PM(10) and PM(2.5), low birth weight increased by 0.12% (95% confidence interval [CI]: 0.01–0.23%) at a lag 06 and 0.44% (95% CI: 0.35–0.53%) at a lag 3, respectively. Preterm birth increased most by 1.60% (95% CI: 1.41–1.80%) at a lag 2 for every increase of 10 μg/m(3) in SO(2). The highest increases in macrosomia associated with a 10 μg/m(3) increase in air pollutant were 3.53% (95% CI: 3.41–3.64%) for NO(2) at lag 0, 3.33% (95% CI: 3.05–3.60%) for SO(2) at lag03. Multi-pollutant models showed that only PM(10) increased the low birth weight and preterm birth risk effect by 3.91% (95% CI: 3.67–4.12%) and 0.25% (95% CI: 0.14–0.37%). NO(2) increased macrosomia risk by 4.14% (95% CI: 3.97–4.31%) with a 10 μg/m(3) increase. There was no association observed between the air pollutants O(3) and CO and adverse birth outcomes. Pregnant women should also take steps to limit their exposure to high levels of air pollutants during the final weeks of pregnancy. |
format | Online Article Text |
id | pubmed-6370066 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-63700662019-02-22 Acute effects of air pollutants on adverse birth outcomes in Changsha, China: A population data with time-series analysis from 2015 to 2017 Xiong, Lili Xu, Zenghui Tan, Jie Wang, Hua Liu, Zhiyu Wang, Aihua Xie, Donghua Kong, Fanjuan Medicine (Baltimore) Research Article Evidence for the acute effects of air pollutants on adverse birth outcomes is not yet conclusive. Furthermore, there are no investigations relating to the association between air pollutants and macrosomia. The aim of this study was to determine the relationship between air pollutants and low birth weight, preterm birth, and macrosomia in Changsha. Time-series analysis, using a generalized additive model was applied. Data about the adverse birth outcomes was collected from 78 midwifery institutions. Air pollution data including SO(2), NO(2), particulate matter <10 μm in diameter (PM(10)), particulate matter <2.5 μm in diameter (PM(2.5)), O(3), CO, and climate data were respectively collected from the Changsha Environmental Protection Agency and the Changsha Meteorological Bureau from January 2015 to December 2017. During the study period, there were 344,880 live births to be studied. In a single pollutant model, for every increase of 10 μg/m(3) in PM(10) and PM(2.5), low birth weight increased by 0.12% (95% confidence interval [CI]: 0.01–0.23%) at a lag 06 and 0.44% (95% CI: 0.35–0.53%) at a lag 3, respectively. Preterm birth increased most by 1.60% (95% CI: 1.41–1.80%) at a lag 2 for every increase of 10 μg/m(3) in SO(2). The highest increases in macrosomia associated with a 10 μg/m(3) increase in air pollutant were 3.53% (95% CI: 3.41–3.64%) for NO(2) at lag 0, 3.33% (95% CI: 3.05–3.60%) for SO(2) at lag03. Multi-pollutant models showed that only PM(10) increased the low birth weight and preterm birth risk effect by 3.91% (95% CI: 3.67–4.12%) and 0.25% (95% CI: 0.14–0.37%). NO(2) increased macrosomia risk by 4.14% (95% CI: 3.97–4.31%) with a 10 μg/m(3) increase. There was no association observed between the air pollutants O(3) and CO and adverse birth outcomes. Pregnant women should also take steps to limit their exposure to high levels of air pollutants during the final weeks of pregnancy. Wolters Kluwer Health 2019-01-18 /pmc/articles/PMC6370066/ /pubmed/30653143 http://dx.doi.org/10.1097/MD.0000000000014127 Text en Copyright © 2019 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0 |
spellingShingle | Research Article Xiong, Lili Xu, Zenghui Tan, Jie Wang, Hua Liu, Zhiyu Wang, Aihua Xie, Donghua Kong, Fanjuan Acute effects of air pollutants on adverse birth outcomes in Changsha, China: A population data with time-series analysis from 2015 to 2017 |
title | Acute effects of air pollutants on adverse birth outcomes in Changsha, China: A population data with time-series analysis from 2015 to 2017 |
title_full | Acute effects of air pollutants on adverse birth outcomes in Changsha, China: A population data with time-series analysis from 2015 to 2017 |
title_fullStr | Acute effects of air pollutants on adverse birth outcomes in Changsha, China: A population data with time-series analysis from 2015 to 2017 |
title_full_unstemmed | Acute effects of air pollutants on adverse birth outcomes in Changsha, China: A population data with time-series analysis from 2015 to 2017 |
title_short | Acute effects of air pollutants on adverse birth outcomes in Changsha, China: A population data with time-series analysis from 2015 to 2017 |
title_sort | acute effects of air pollutants on adverse birth outcomes in changsha, china: a population data with time-series analysis from 2015 to 2017 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6370066/ https://www.ncbi.nlm.nih.gov/pubmed/30653143 http://dx.doi.org/10.1097/MD.0000000000014127 |
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