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Interrupted-time-series analysis of the immediate impact of COVID-19 mitigation measures on preterm birth in China
Preliminary evidence from China and other countries has suggested that coronavirus disease 2019 (COVID-19) mitigation measures have caused a decline in preterm births, but evidence is conflicting. Utilising a national representative data of 11,714,947 pregnant women in China, we explored the immedia...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9440464/ https://www.ncbi.nlm.nih.gov/pubmed/36057724 http://dx.doi.org/10.1038/s41467-022-32814-y |
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author | Xie, Yanxia Mu, Yi Chen, Peiran Liu, Zheng Wang, Yanping Li, Qi Li, Mingrong Liang, Juan Zhu, Jun |
author_facet | Xie, Yanxia Mu, Yi Chen, Peiran Liu, Zheng Wang, Yanping Li, Qi Li, Mingrong Liang, Juan Zhu, Jun |
author_sort | Xie, Yanxia |
collection | PubMed |
description | Preliminary evidence from China and other countries has suggested that coronavirus disease 2019 (COVID-19) mitigation measures have caused a decline in preterm births, but evidence is conflicting. Utilising a national representative data of 11,714,947 pregnant women in China, we explored the immediate changes in preterm birth rates during the COVID-19 mitigation period using an interrupted-time-series analysis. We defined the period prior to February 1, 2020 as the baseline, followed by the COVID-19 mitigation stage. In the first month of the COVID-19 mitigation, a significant absolute decrease in preterm birth rates of 0.68% (95%CI:−1.10% to −0.26%) in singleton, and of 2.80% (95%CI:−4.51% to −1.09%) in multiple births was noted. This immediate decline in Wuhan was greater than that at the national level among singleton births [−2.21% (95%CI:−4.09% to −0.34% vs. −0.68%)]. Here we report an immediate impact of COVID-19 mitigation measures on preterm birth in China. |
format | Online Article Text |
id | pubmed-9440464 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-94404642022-09-05 Interrupted-time-series analysis of the immediate impact of COVID-19 mitigation measures on preterm birth in China Xie, Yanxia Mu, Yi Chen, Peiran Liu, Zheng Wang, Yanping Li, Qi Li, Mingrong Liang, Juan Zhu, Jun Nat Commun Article Preliminary evidence from China and other countries has suggested that coronavirus disease 2019 (COVID-19) mitigation measures have caused a decline in preterm births, but evidence is conflicting. Utilising a national representative data of 11,714,947 pregnant women in China, we explored the immediate changes in preterm birth rates during the COVID-19 mitigation period using an interrupted-time-series analysis. We defined the period prior to February 1, 2020 as the baseline, followed by the COVID-19 mitigation stage. In the first month of the COVID-19 mitigation, a significant absolute decrease in preterm birth rates of 0.68% (95%CI:−1.10% to −0.26%) in singleton, and of 2.80% (95%CI:−4.51% to −1.09%) in multiple births was noted. This immediate decline in Wuhan was greater than that at the national level among singleton births [−2.21% (95%CI:−4.09% to −0.34% vs. −0.68%)]. Here we report an immediate impact of COVID-19 mitigation measures on preterm birth in China. Nature Publishing Group UK 2022-09-03 /pmc/articles/PMC9440464/ /pubmed/36057724 http://dx.doi.org/10.1038/s41467-022-32814-y 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 Xie, Yanxia Mu, Yi Chen, Peiran Liu, Zheng Wang, Yanping Li, Qi Li, Mingrong Liang, Juan Zhu, Jun Interrupted-time-series analysis of the immediate impact of COVID-19 mitigation measures on preterm birth in China |
title | Interrupted-time-series analysis of the immediate impact of COVID-19 mitigation measures on preterm birth in China |
title_full | Interrupted-time-series analysis of the immediate impact of COVID-19 mitigation measures on preterm birth in China |
title_fullStr | Interrupted-time-series analysis of the immediate impact of COVID-19 mitigation measures on preterm birth in China |
title_full_unstemmed | Interrupted-time-series analysis of the immediate impact of COVID-19 mitigation measures on preterm birth in China |
title_short | Interrupted-time-series analysis of the immediate impact of COVID-19 mitigation measures on preterm birth in China |
title_sort | interrupted-time-series analysis of the immediate impact of covid-19 mitigation measures on preterm birth in china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9440464/ https://www.ncbi.nlm.nih.gov/pubmed/36057724 http://dx.doi.org/10.1038/s41467-022-32814-y |
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