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Longitudinal study of multidimensional factors influencing maternal and offspring health outcomes: a study protocol

BACKGROUND: Reducing preventable adverse maternal and offspring outcomes is a global priority. The causes of adverse maternal and fetal outcomes are complex with multidimensional influencing factors. In addition, the Covid-19 epidemic has had a significant psychological and physical impact on people...

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Autores principales: Chen, Jianfei, Tian, Ruixue, Zou, Zhijie, Wu, Jiaxin, Zhao, Jing, Chen, Yanlin, Peng, Li, Lyu, Wenyi, Cheng, Qiuxia, Cai, Zhongxiang, Chen, Xiaoli, Chen, Chunli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10288674/
https://www.ncbi.nlm.nih.gov/pubmed/37349692
http://dx.doi.org/10.1186/s12884-023-05785-1
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author Chen, Jianfei
Tian, Ruixue
Zou, Zhijie
Wu, Jiaxin
Zhao, Jing
Chen, Yanlin
Peng, Li
Lyu, Wenyi
Cheng, Qiuxia
Cai, Zhongxiang
Chen, Xiaoli
Chen, Chunli
author_facet Chen, Jianfei
Tian, Ruixue
Zou, Zhijie
Wu, Jiaxin
Zhao, Jing
Chen, Yanlin
Peng, Li
Lyu, Wenyi
Cheng, Qiuxia
Cai, Zhongxiang
Chen, Xiaoli
Chen, Chunli
author_sort Chen, Jianfei
collection PubMed
description BACKGROUND: Reducing preventable adverse maternal and offspring outcomes is a global priority. The causes of adverse maternal and fetal outcomes are complex with multidimensional influencing factors. In addition, the Covid-19 epidemic has had a significant psychological and physical impact on people. China is now stepping into the post-epidemic era. We are curious about the psychological and physical situation of maternity in China at this stage. Therefore, we plan to initiate a prospective longitudinal study to investigate the multidimensional influences and mechanisms that affect maternal and offspring health. METHOD: We will recruit eligible pregnant women at Renmin Hospital of Hubei Province, China. The expected sample size is 1490. We will assess socio-demographics, Covid-19 related information, social capital, sleep, mental health and medical records, including clinical examination and biochemical tests. Eligible pregnant women will be enrolled in the study with less than 14 weeks of gestation. Participants will receive a total of nine follow-up visits between mid-pregnancy and one year postpartum. The offspring will be followed up at birth, 6 weeks, 3 months, 6 months and one year. In addition, a qualitative study will be conducted to understand the underlying causes that affect maternal and offspring health outcomes. DISCUSSION: This is the first longitudinal study of maternity in Wuhan, Hubei Province which integrates physical, psychological and social capital dimensions. Wuhan is the first city to be affected by Covid-19 in China. As China moves into the post-epidemic era, this study will provide us with a better understanding of the long-term impact of the epidemic on maternal and offspring health outcomes. We will implement a range of rigorous measures to enhance participants’ retention rate and ensure the quality of data. The study will provide empirical results for maternal health in the post-epidemic era. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-023-05785-1.
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spelling pubmed-102886742023-06-24 Longitudinal study of multidimensional factors influencing maternal and offspring health outcomes: a study protocol Chen, Jianfei Tian, Ruixue Zou, Zhijie Wu, Jiaxin Zhao, Jing Chen, Yanlin Peng, Li Lyu, Wenyi Cheng, Qiuxia Cai, Zhongxiang Chen, Xiaoli Chen, Chunli BMC Pregnancy Childbirth Study Protocol BACKGROUND: Reducing preventable adverse maternal and offspring outcomes is a global priority. The causes of adverse maternal and fetal outcomes are complex with multidimensional influencing factors. In addition, the Covid-19 epidemic has had a significant psychological and physical impact on people. China is now stepping into the post-epidemic era. We are curious about the psychological and physical situation of maternity in China at this stage. Therefore, we plan to initiate a prospective longitudinal study to investigate the multidimensional influences and mechanisms that affect maternal and offspring health. METHOD: We will recruit eligible pregnant women at Renmin Hospital of Hubei Province, China. The expected sample size is 1490. We will assess socio-demographics, Covid-19 related information, social capital, sleep, mental health and medical records, including clinical examination and biochemical tests. Eligible pregnant women will be enrolled in the study with less than 14 weeks of gestation. Participants will receive a total of nine follow-up visits between mid-pregnancy and one year postpartum. The offspring will be followed up at birth, 6 weeks, 3 months, 6 months and one year. In addition, a qualitative study will be conducted to understand the underlying causes that affect maternal and offspring health outcomes. DISCUSSION: This is the first longitudinal study of maternity in Wuhan, Hubei Province which integrates physical, psychological and social capital dimensions. Wuhan is the first city to be affected by Covid-19 in China. As China moves into the post-epidemic era, this study will provide us with a better understanding of the long-term impact of the epidemic on maternal and offspring health outcomes. We will implement a range of rigorous measures to enhance participants’ retention rate and ensure the quality of data. The study will provide empirical results for maternal health in the post-epidemic era. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-023-05785-1. BioMed Central 2023-06-22 /pmc/articles/PMC10288674/ /pubmed/37349692 http://dx.doi.org/10.1186/s12884-023-05785-1 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 Study Protocol
Chen, Jianfei
Tian, Ruixue
Zou, Zhijie
Wu, Jiaxin
Zhao, Jing
Chen, Yanlin
Peng, Li
Lyu, Wenyi
Cheng, Qiuxia
Cai, Zhongxiang
Chen, Xiaoli
Chen, Chunli
Longitudinal study of multidimensional factors influencing maternal and offspring health outcomes: a study protocol
title Longitudinal study of multidimensional factors influencing maternal and offspring health outcomes: a study protocol
title_full Longitudinal study of multidimensional factors influencing maternal and offspring health outcomes: a study protocol
title_fullStr Longitudinal study of multidimensional factors influencing maternal and offspring health outcomes: a study protocol
title_full_unstemmed Longitudinal study of multidimensional factors influencing maternal and offspring health outcomes: a study protocol
title_short Longitudinal study of multidimensional factors influencing maternal and offspring health outcomes: a study protocol
title_sort longitudinal study of multidimensional factors influencing maternal and offspring health outcomes: a study protocol
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10288674/
https://www.ncbi.nlm.nih.gov/pubmed/37349692
http://dx.doi.org/10.1186/s12884-023-05785-1
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