Analysis of related factors of adverse birth outcomes of living newborns from 2016 to 2020 in Guiping County, Guangxi, China

ZHANG Xiang-ming; ZHAO Peng; CHEN Si-cheng; LI Kai-juan; CHEN Liu-ping; XIN Yan-jian; FENG Zhu-mei; SHI Meng-meng; ZHONG Yan-xu

doi:10.16462/j.cnki.zhjbkz.2022.09.011

Volume 26 Issue 9

Sep. 2022

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Article Navigation > CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION > 2022 > 26(9): 1050-1056

ZHANG Xiang-ming, ZHAO Peng, CHEN Si-cheng, LI Kai-juan, CHEN Liu-ping, XIN Yan-jian, FENG Zhu-mei, SHI Meng-meng, ZHONG Yan-xu. Analysis of related factors of adverse birth outcomes of living newborns from 2016 to 2020 in Guiping County, Guangxi, China[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2022, 26(9): 1050-1056. doi: 10.16462/j.cnki.zhjbkz.2022.09.011

Citation:

ZHANG Xiang-ming, ZHAO Peng, CHEN Si-cheng, LI Kai-juan, CHEN Liu-ping, XIN Yan-jian, FENG Zhu-mei, SHI Meng-meng, ZHONG Yan-xu. Analysis of related factors of adverse birth outcomes of living newborns from 2016 to 2020 in Guiping County, Guangxi, China[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2022, 26(9): 1050-1056. doi: 10.16462/j.cnki.zhjbkz.2022.09.011

Citation:

ZHANG Xiang-ming, ZHAO Peng, CHEN Si-cheng, LI Kai-juan, CHEN Liu-ping, XIN Yan-jian, FENG Zhu-mei, SHI Meng-meng, ZHONG Yan-xu. Analysis of related factors of adverse birth outcomes of living newborns from 2016 to 2020 in Guiping County, Guangxi, China[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2022, 26(9): 1050-1056. doi: 10.16462/j.cnki.zhjbkz.2022.09.011

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Analysis of related factors of adverse birth outcomes of living newborns from 2016 to 2020 in Guiping County, Guangxi, China

doi: 10.16462/j.cnki.zhjbkz.2022.09.011

1.
Department of Obstetrics, Guiping People Hospital, Guiping 537200, China
2.
Guangxi Center for Disease Control and Prevention, Nanning 530000, China
3.
Department of Food Safety Risk Monitoring and Evaluation, Guangxi Center for Disease Control and Prevention, Nanning 530000, China

Funds:

Youth Scientific Research Project of Guangxi Center for Disease Control and Prevention 202005

More Information

Corresponding author: ZHONG Yan-xu, E-mail: gxcdczyx@163.com
Received Date: 2021-11-14
Rev Recd Date: 2022-05-18

Available Online: 2022-09-17

Publish Date: 2022-09-10

Abstract

Abstract

Objective To understand the changing of newborns' birth weight, the characteristics and the related factors of adverse birth outcomes in Guiping County, providing scientific evidence to promote newborns' health in the future. Methods The data of newborns were collected from Guiping People's hospital from January first, 2016 to December 31st, 2020. R 4.1.2 version software was used for data description and statistic testing, which included ggplot2, chi-square test, trend chi-square test, t-test, and logistic regression. Results There were 25 958 newborns included in the study, with a mean birth weight of (3 054±515) g. The incidence of low birth weight was 10.38%, while the incidence of macrosomia was 2.07%, and the incidence of preterm birth was 11.09%, respectively. Female infants, living in rural areas, and having a high-risk pregnancy were risk factors for low birth weight(OR=1.81, 95% CI: 1.61-2.04; OR=1.56, 95% CI: 1.27-1.90; OR=1.70, 95% CI: 1.44-2.00, respectively); while birth in winter, the second or third parity, and frequent obstetric examinations were protective factors for low birth weight (OR=0.77, 95% CI: 0.65-0.92; OR=0.55, 95% CI: 0.48-0.62; OR=0.50, 95% CI: 0.42-0.59; OR=0.78, 95% CI: 0.67-0.91, respectively). In addition, birth in winter, maternal age 20- < 35 years old and ≥35 years old, the second or third parity, and having high-risk pregnancy were risk factors for macrosomia (OR=1.59, 95% CI: 1.21-2.08; OR=2.94, 95% CI: 1.29-6.71; OR=3.16, 95% CI: 1.35-7.38; OR=1.74, 95% CI: 1.37-2.22; OR=1.73, 95% CI: 1.31-2.29; OR=3.53, 95% CI: 2.66-4.96, respectively). Besides, living in rural areas, paternal ethnicity are other ethnic minorities, having a high-risk pregnancy and multiple fetuses were risk factors for neonatal preterm birth (OR=1.18, 95% CI: 1.01-1.37; OR=1.53, 95% CI: 1.03-2.28; OR=10.20, 95% CI: 8.29-12.55; OR=7.05, 95% CI: 6.17-8.05, respectively), while female infants, the second or third parity, and the number of obstetric examinations were protective factors for preterm birth (OR=0.91, 95% CI: 0.83-0.99; OR= 0.86, 95% CI: 0.77-0.95; OR=0.87, 95% CI: 0.77-0.98; OR=0.37, 95% CI: 0.33-0.42, respectively). Conclusions The incidence of preterm birth has decreased during these five years. However, the incidence of low birth weight and macrosomia was still stable or even increasing. It is necessary to carry out high-quality studies to access the causality of related factors and intervention measures to promote newborn health in the future.
- Low birth weight,
- Preterm birth,
- Macrosomia,
- Related factors

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References(16)

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