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Association between season of conception, month of conception with preterm birth in China: a population-based retrospective cohort study
BACKGROUND: Seasonal patterns of preterm birth were identified in previous studies, but the effect of conception season on preterm birth has not been extensively studied. Based on the notion that the etiological roots of preterm birth lie in the beginning of pregnancy, we did a population-based retr...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10262444/ https://www.ncbi.nlm.nih.gov/pubmed/37312160 http://dx.doi.org/10.1186/s12978-023-01636-6 |
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author | Wu, Yu Ye, Hanfeng Yuan, Yanling Kong, Cai Jing, Wenzhan Liu, Jue Liu, Min |
author_facet | Wu, Yu Ye, Hanfeng Yuan, Yanling Kong, Cai Jing, Wenzhan Liu, Jue Liu, Min |
author_sort | Wu, Yu |
collection | PubMed |
description | BACKGROUND: Seasonal patterns of preterm birth were identified in previous studies, but the effect of conception season on preterm birth has not been extensively studied. Based on the notion that the etiological roots of preterm birth lie in the beginning of pregnancy, we did a population-based retrospective cohort study in Southwest China to examine the effects of season of conception and month of conception on preterm birth. METHODS: We did a population-based retrospective cohort study in women (aged 18–49) who participated in the NFPHEP from 2010 to 2018, and had a singleton livebirth in southwest China. According to the time of the last menstruation reported by the participants, month of conception and season of conception were then ascertained. We used multivariate log-binomial model to adjust the potential risk factors for preterm birth and obtained adjusted risk ratio (aRR) and 95% confidence intervals (95%CI) for conception season, conception month and preterm birth. RESULTS: Among 194 028 participants, 15 034 women had preterm birth. Compared with pregnancies that were conceived in the summer, pregnancies that were conceived in the spring, autumn and winter had the higher risk of preterm birth (Spring: aRR = 1.10, 95% CI: 1.04–1.15; Autumn: aRR = 1.14, 95% CI: 1.09–1.20; Winter: aRR = 1.28, 95% CI: 1.22–1.34) and also had a higher risk of early preterm birth (Spring: aRR = 1.09, 95% CI: 1.01–1.18; Autumn: aRR = 1.09, 95% CI: 1.01–1.19; Winter: aRR = 1.16, 95% CI: 1.08–1.25). Pregnancies in December, and January had a higher risk of preterm birth and early preterm birth than pregnancies that were conceived in July. CONCLUSIONS: Our study found that preterm birth was significantly related to season of conception. Preterm and early preterm birth rates were the highest among pregnancies that were conceived in winter, and the lowest among pregnancies in summer. |
format | Online Article Text |
id | pubmed-10262444 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-102624442023-06-15 Association between season of conception, month of conception with preterm birth in China: a population-based retrospective cohort study Wu, Yu Ye, Hanfeng Yuan, Yanling Kong, Cai Jing, Wenzhan Liu, Jue Liu, Min Reprod Health Research BACKGROUND: Seasonal patterns of preterm birth were identified in previous studies, but the effect of conception season on preterm birth has not been extensively studied. Based on the notion that the etiological roots of preterm birth lie in the beginning of pregnancy, we did a population-based retrospective cohort study in Southwest China to examine the effects of season of conception and month of conception on preterm birth. METHODS: We did a population-based retrospective cohort study in women (aged 18–49) who participated in the NFPHEP from 2010 to 2018, and had a singleton livebirth in southwest China. According to the time of the last menstruation reported by the participants, month of conception and season of conception were then ascertained. We used multivariate log-binomial model to adjust the potential risk factors for preterm birth and obtained adjusted risk ratio (aRR) and 95% confidence intervals (95%CI) for conception season, conception month and preterm birth. RESULTS: Among 194 028 participants, 15 034 women had preterm birth. Compared with pregnancies that were conceived in the summer, pregnancies that were conceived in the spring, autumn and winter had the higher risk of preterm birth (Spring: aRR = 1.10, 95% CI: 1.04–1.15; Autumn: aRR = 1.14, 95% CI: 1.09–1.20; Winter: aRR = 1.28, 95% CI: 1.22–1.34) and also had a higher risk of early preterm birth (Spring: aRR = 1.09, 95% CI: 1.01–1.18; Autumn: aRR = 1.09, 95% CI: 1.01–1.19; Winter: aRR = 1.16, 95% CI: 1.08–1.25). Pregnancies in December, and January had a higher risk of preterm birth and early preterm birth than pregnancies that were conceived in July. CONCLUSIONS: Our study found that preterm birth was significantly related to season of conception. Preterm and early preterm birth rates were the highest among pregnancies that were conceived in winter, and the lowest among pregnancies in summer. BioMed Central 2023-06-13 /pmc/articles/PMC10262444/ /pubmed/37312160 http://dx.doi.org/10.1186/s12978-023-01636-6 Text en © The Author(s) 2023 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 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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Wu, Yu Ye, Hanfeng Yuan, Yanling Kong, Cai Jing, Wenzhan Liu, Jue Liu, Min Association between season of conception, month of conception with preterm birth in China: a population-based retrospective cohort study |
title | Association between season of conception, month of conception with preterm birth in China: a population-based retrospective cohort study |
title_full | Association between season of conception, month of conception with preterm birth in China: a population-based retrospective cohort study |
title_fullStr | Association between season of conception, month of conception with preterm birth in China: a population-based retrospective cohort study |
title_full_unstemmed | Association between season of conception, month of conception with preterm birth in China: a population-based retrospective cohort study |
title_short | Association between season of conception, month of conception with preterm birth in China: a population-based retrospective cohort study |
title_sort | association between season of conception, month of conception with preterm birth in china: a population-based retrospective cohort study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10262444/ https://www.ncbi.nlm.nih.gov/pubmed/37312160 http://dx.doi.org/10.1186/s12978-023-01636-6 |
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