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Estimation of stillbirths attributable to ambient fine particles in 137 countries
Gestational exposure to ambient fine particles (PM(2.5)) increases the risk of stillbirth, but the related disease burden is unknown, particularly in low- and middle-income countries (LMICs). We combine state-of-the-art estimates on stillbirths, and multiple exposure–response functions obtained from...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9709081/ https://www.ncbi.nlm.nih.gov/pubmed/36446772 http://dx.doi.org/10.1038/s41467-022-34250-4 |
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author | Xue, Tao Tong, Mingkun Li, Jiajianghui Wang, Ruohan Guan, Tianjia Li, Jiwei Li, Pengfei Liu, Hengyi Lu, Hong Li, Yanshun Zhu, Tong |
author_facet | Xue, Tao Tong, Mingkun Li, Jiajianghui Wang, Ruohan Guan, Tianjia Li, Jiwei Li, Pengfei Liu, Hengyi Lu, Hong Li, Yanshun Zhu, Tong |
author_sort | Xue, Tao |
collection | PubMed |
description | Gestational exposure to ambient fine particles (PM(2.5)) increases the risk of stillbirth, but the related disease burden is unknown, particularly in low- and middle-income countries (LMICs). We combine state-of-the-art estimates on stillbirths, and multiple exposure–response functions obtained from previous meta-analyses or derived by a self-matched case-control study in 54 LMICs. 13,870 stillbirths and 32,449 livebirths are extracted from 113 geocoded surveys from the Demographic and Health Surveys. Each stillbirth is compared to livebirth(s) of the same mother using a conditional logit regression. We find that 10-µg/m(3) increase of PM(2.5) is associated with an 11.0% (95% confidence interval [CI] 6.4, 15.7) increase in the risk of stillbirth, and the association is significantly enhanced by maternal age. Based on age-specific nonlinear PM(2.5)–stillbirth curves, we evaluate the PM(2.5)-related stillbirths in 137 countries. In 2015, of 2.09 (95% CI: 1.98, 2.20) million stillbirths, 0.83 (0.54, 1.08) million or 39.7% (26.1, 50.8) are attributable to PM(2.5) exposure exceeding the reference level of 10 μg/m(3). In LMICs, preventing pregnant women from being exposed to PM(2.5) can improve maternal health. |
format | Online Article Text |
id | pubmed-9709081 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97090812022-12-01 Estimation of stillbirths attributable to ambient fine particles in 137 countries Xue, Tao Tong, Mingkun Li, Jiajianghui Wang, Ruohan Guan, Tianjia Li, Jiwei Li, Pengfei Liu, Hengyi Lu, Hong Li, Yanshun Zhu, Tong Nat Commun Article Gestational exposure to ambient fine particles (PM(2.5)) increases the risk of stillbirth, but the related disease burden is unknown, particularly in low- and middle-income countries (LMICs). We combine state-of-the-art estimates on stillbirths, and multiple exposure–response functions obtained from previous meta-analyses or derived by a self-matched case-control study in 54 LMICs. 13,870 stillbirths and 32,449 livebirths are extracted from 113 geocoded surveys from the Demographic and Health Surveys. Each stillbirth is compared to livebirth(s) of the same mother using a conditional logit regression. We find that 10-µg/m(3) increase of PM(2.5) is associated with an 11.0% (95% confidence interval [CI] 6.4, 15.7) increase in the risk of stillbirth, and the association is significantly enhanced by maternal age. Based on age-specific nonlinear PM(2.5)–stillbirth curves, we evaluate the PM(2.5)-related stillbirths in 137 countries. In 2015, of 2.09 (95% CI: 1.98, 2.20) million stillbirths, 0.83 (0.54, 1.08) million or 39.7% (26.1, 50.8) are attributable to PM(2.5) exposure exceeding the reference level of 10 μg/m(3). In LMICs, preventing pregnant women from being exposed to PM(2.5) can improve maternal health. Nature Publishing Group UK 2022-11-29 /pmc/articles/PMC9709081/ /pubmed/36446772 http://dx.doi.org/10.1038/s41467-022-34250-4 Text en © The Author(s) 2022 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Xue, Tao Tong, Mingkun Li, Jiajianghui Wang, Ruohan Guan, Tianjia Li, Jiwei Li, Pengfei Liu, Hengyi Lu, Hong Li, Yanshun Zhu, Tong Estimation of stillbirths attributable to ambient fine particles in 137 countries |
title | Estimation of stillbirths attributable to ambient fine particles in 137 countries |
title_full | Estimation of stillbirths attributable to ambient fine particles in 137 countries |
title_fullStr | Estimation of stillbirths attributable to ambient fine particles in 137 countries |
title_full_unstemmed | Estimation of stillbirths attributable to ambient fine particles in 137 countries |
title_short | Estimation of stillbirths attributable to ambient fine particles in 137 countries |
title_sort | estimation of stillbirths attributable to ambient fine particles in 137 countries |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9709081/ https://www.ncbi.nlm.nih.gov/pubmed/36446772 http://dx.doi.org/10.1038/s41467-022-34250-4 |
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