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Impact of air pollution exposure during various periods of pregnancy on term birth weight: a large-sample, retrospective population-based cohort study
Previous studies have suggested that maternal exposure to air pollution might affect term birth weight. However, the conclusions are controversial. Birth data of all term newborns born in Xi’an city of Shaanxi, China, from 2015 to 2018 and whose mother lived in Xi’an during pregnancy were selected f...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7788013/ https://www.ncbi.nlm.nih.gov/pubmed/32914309 http://dx.doi.org/10.1007/s11356-020-10705-3 |
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author | Shang, Li Huang, Liyan Yang, Liren Leng, Longtao Qi, Cuifang Xie, Guilan Wang, Ruiqi Guo, Leqian Yang, Wenfang Chung, Mei Chun |
author_facet | Shang, Li Huang, Liyan Yang, Liren Leng, Longtao Qi, Cuifang Xie, Guilan Wang, Ruiqi Guo, Leqian Yang, Wenfang Chung, Mei Chun |
author_sort | Shang, Li |
collection | PubMed |
description | Previous studies have suggested that maternal exposure to air pollution might affect term birth weight. However, the conclusions are controversial. Birth data of all term newborns born in Xi’an city of Shaanxi, China, from 2015 to 2018 and whose mother lived in Xi’an during pregnancy were selected form the Birth Registry Database. And the daily air quality data of Xi’an city was collected from Chinese Air Quality Online Monitoring and Analysis Platform. Generalized additive models (GAM) and 2-level binary logistic regression models were used to estimate the effects of air pollution exposure on term birth weight, the risk term low birth weight (TLBW), and macrosomia. Finally, 321521 term newborns were selected, including 4369(1.36%) TLBW infants and 24,960 (7.76%) macrosomia. The average pollution levels of PM(2.5), PM(10), and NO(2) in Xi’an city from 2015 to 2018 were higher than national limits. During the whole pregnancy, maternal exposure to PM(2.5), PM(10), SO(2), and CO all significantly reduced the term birth weight and increased the risk of TLBW. However, NO(2) and O(3) exposure have significantly increased the term birth weight, and O(3) even increased the risk of macrosomia significantly. Those effects were also observed in the first and second trimesters of pregnancy. But during the third trimester, high level of air quality index (AQI) and maternal exposure to PM(2.5), PM(10), SO(2), NO(2), and CO increased the term birth weight and the risk of macrosomia, while O(3) exposure was contrary to this effect. The findings suggested that prenatal exposure to air pollution might cause adverse impacts on term birth weight, and the effects varied with trimesters and pollutants, which provides further pieces of evidence for the adverse effects of air pollution exposure in heavy polluted-area on term birth weight. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11356-020-10705-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7788013 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-77880132021-01-14 Impact of air pollution exposure during various periods of pregnancy on term birth weight: a large-sample, retrospective population-based cohort study Shang, Li Huang, Liyan Yang, Liren Leng, Longtao Qi, Cuifang Xie, Guilan Wang, Ruiqi Guo, Leqian Yang, Wenfang Chung, Mei Chun Environ Sci Pollut Res Int Research Article Previous studies have suggested that maternal exposure to air pollution might affect term birth weight. However, the conclusions are controversial. Birth data of all term newborns born in Xi’an city of Shaanxi, China, from 2015 to 2018 and whose mother lived in Xi’an during pregnancy were selected form the Birth Registry Database. And the daily air quality data of Xi’an city was collected from Chinese Air Quality Online Monitoring and Analysis Platform. Generalized additive models (GAM) and 2-level binary logistic regression models were used to estimate the effects of air pollution exposure on term birth weight, the risk term low birth weight (TLBW), and macrosomia. Finally, 321521 term newborns were selected, including 4369(1.36%) TLBW infants and 24,960 (7.76%) macrosomia. The average pollution levels of PM(2.5), PM(10), and NO(2) in Xi’an city from 2015 to 2018 were higher than national limits. During the whole pregnancy, maternal exposure to PM(2.5), PM(10), SO(2), and CO all significantly reduced the term birth weight and increased the risk of TLBW. However, NO(2) and O(3) exposure have significantly increased the term birth weight, and O(3) even increased the risk of macrosomia significantly. Those effects were also observed in the first and second trimesters of pregnancy. But during the third trimester, high level of air quality index (AQI) and maternal exposure to PM(2.5), PM(10), SO(2), NO(2), and CO increased the term birth weight and the risk of macrosomia, while O(3) exposure was contrary to this effect. The findings suggested that prenatal exposure to air pollution might cause adverse impacts on term birth weight, and the effects varied with trimesters and pollutants, which provides further pieces of evidence for the adverse effects of air pollution exposure in heavy polluted-area on term birth weight. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11356-020-10705-3) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2020-09-11 2021 /pmc/articles/PMC7788013/ /pubmed/32914309 http://dx.doi.org/10.1007/s11356-020-10705-3 Text en © The Author(s) 2020 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/. |
spellingShingle | Research Article Shang, Li Huang, Liyan Yang, Liren Leng, Longtao Qi, Cuifang Xie, Guilan Wang, Ruiqi Guo, Leqian Yang, Wenfang Chung, Mei Chun Impact of air pollution exposure during various periods of pregnancy on term birth weight: a large-sample, retrospective population-based cohort study |
title | Impact of air pollution exposure during various periods of pregnancy on term birth weight: a large-sample, retrospective population-based cohort study |
title_full | Impact of air pollution exposure during various periods of pregnancy on term birth weight: a large-sample, retrospective population-based cohort study |
title_fullStr | Impact of air pollution exposure during various periods of pregnancy on term birth weight: a large-sample, retrospective population-based cohort study |
title_full_unstemmed | Impact of air pollution exposure during various periods of pregnancy on term birth weight: a large-sample, retrospective population-based cohort study |
title_short | Impact of air pollution exposure during various periods of pregnancy on term birth weight: a large-sample, retrospective population-based cohort study |
title_sort | impact of air pollution exposure during various periods of pregnancy on term birth weight: a large-sample, retrospective population-based cohort study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7788013/ https://www.ncbi.nlm.nih.gov/pubmed/32914309 http://dx.doi.org/10.1007/s11356-020-10705-3 |
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