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Pre-Pregnancy Health Status and Risk of Preterm Birth: A Large, Chinese, Rural, Population-Based Study

The aim of this study was to estimate the incidence of preterm birth (PTB) and identify maternal risk factors before pregnancy in rural China, and to determine their population-attributable fractions (PAFs). A prospectively population-based study was conducted in the city of Fuyang, China. Surveilla...

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Autores principales: Hu, Cheng-Yang, Li, Feng-Li, Jiang, Wen, Hua, Xiao-Guo, Zhang, Xiu-Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Scientific Literature, Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069560/
https://www.ncbi.nlm.nih.gov/pubmed/29982265
http://dx.doi.org/10.12659/MSM.908548
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author Hu, Cheng-Yang
Li, Feng-Li
Jiang, Wen
Hua, Xiao-Guo
Zhang, Xiu-Jun
author_facet Hu, Cheng-Yang
Li, Feng-Li
Jiang, Wen
Hua, Xiao-Guo
Zhang, Xiu-Jun
author_sort Hu, Cheng-Yang
collection PubMed
description The aim of this study was to estimate the incidence of preterm birth (PTB) and identify maternal risk factors before pregnancy in rural China, and to determine their population-attributable fractions (PAFs). A prospectively population-based study was conducted in the city of Fuyang, China. Surveillance locations were randomly selected by cluster sampling based on administrative areas and geographic characteristics. Data were collected through interview questionnaires and medical examination records from the participants, then follow-up until discharge, fetus death, or at a maximum of 6 weeks postpartum, whichever came first. We used logistic regression analysis to identify the associated factors. PAFs were also estimated to examine the impact of risk factors. The incidence of PTB was 3.86% in this study. Multivariate analyses showed that risk factors for PTB were economic pressure (aOR=2.98, 95% CI, 2.40–3.71), hypertension (aOR=3.45, 95% CI, 2.23–5.36), hypoglycemia (aOR=2.07, 95% CI, 1.58, 2.72), hyperglycemia (aOR=1.69, 95% CI, 1.09, 2.62), serum creatinine (<44 μmol/L) (aOR=1.78, 95% CI, 1.13–2.40), hypothyroidism (aOR=1.37, 95% CI, 1.06–1.78), positivity for anti-CMV IgM (aOR=2.57, 95% CI, 1.21–5.45), multiple pregnancy (aOR=3.35, 95% CI, 1.87–6.00), and parity (≥3 times) (aOR=1.67, 95% CI, 1.05–2.64). Economic pressure was the most significant contributor (11.57%), while parity was the lowest (0.10%). This study demonstrated the relatively high burden of PTBs in a rural Chinese area. A broader focus on the risk factors prior to pregnancy amenable to interventions of women may reduce the incidence of PTB.
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spelling pubmed-60695602018-08-02 Pre-Pregnancy Health Status and Risk of Preterm Birth: A Large, Chinese, Rural, Population-Based Study Hu, Cheng-Yang Li, Feng-Li Jiang, Wen Hua, Xiao-Guo Zhang, Xiu-Jun Med Sci Monit Special Reports The aim of this study was to estimate the incidence of preterm birth (PTB) and identify maternal risk factors before pregnancy in rural China, and to determine their population-attributable fractions (PAFs). A prospectively population-based study was conducted in the city of Fuyang, China. Surveillance locations were randomly selected by cluster sampling based on administrative areas and geographic characteristics. Data were collected through interview questionnaires and medical examination records from the participants, then follow-up until discharge, fetus death, or at a maximum of 6 weeks postpartum, whichever came first. We used logistic regression analysis to identify the associated factors. PAFs were also estimated to examine the impact of risk factors. The incidence of PTB was 3.86% in this study. Multivariate analyses showed that risk factors for PTB were economic pressure (aOR=2.98, 95% CI, 2.40–3.71), hypertension (aOR=3.45, 95% CI, 2.23–5.36), hypoglycemia (aOR=2.07, 95% CI, 1.58, 2.72), hyperglycemia (aOR=1.69, 95% CI, 1.09, 2.62), serum creatinine (<44 μmol/L) (aOR=1.78, 95% CI, 1.13–2.40), hypothyroidism (aOR=1.37, 95% CI, 1.06–1.78), positivity for anti-CMV IgM (aOR=2.57, 95% CI, 1.21–5.45), multiple pregnancy (aOR=3.35, 95% CI, 1.87–6.00), and parity (≥3 times) (aOR=1.67, 95% CI, 1.05–2.64). Economic pressure was the most significant contributor (11.57%), while parity was the lowest (0.10%). This study demonstrated the relatively high burden of PTBs in a rural Chinese area. A broader focus on the risk factors prior to pregnancy amenable to interventions of women may reduce the incidence of PTB. International Scientific Literature, Inc. 2018-07-08 /pmc/articles/PMC6069560/ /pubmed/29982265 http://dx.doi.org/10.12659/MSM.908548 Text en © Med Sci Monit, 2018 This work is licensed under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) )
spellingShingle Special Reports
Hu, Cheng-Yang
Li, Feng-Li
Jiang, Wen
Hua, Xiao-Guo
Zhang, Xiu-Jun
Pre-Pregnancy Health Status and Risk of Preterm Birth: A Large, Chinese, Rural, Population-Based Study
title Pre-Pregnancy Health Status and Risk of Preterm Birth: A Large, Chinese, Rural, Population-Based Study
title_full Pre-Pregnancy Health Status and Risk of Preterm Birth: A Large, Chinese, Rural, Population-Based Study
title_fullStr Pre-Pregnancy Health Status and Risk of Preterm Birth: A Large, Chinese, Rural, Population-Based Study
title_full_unstemmed Pre-Pregnancy Health Status and Risk of Preterm Birth: A Large, Chinese, Rural, Population-Based Study
title_short Pre-Pregnancy Health Status and Risk of Preterm Birth: A Large, Chinese, Rural, Population-Based Study
title_sort pre-pregnancy health status and risk of preterm birth: a large, chinese, rural, population-based study
topic Special Reports
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069560/
https://www.ncbi.nlm.nih.gov/pubmed/29982265
http://dx.doi.org/10.12659/MSM.908548
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