The Incidence of Premature Delivery and Its Influencing Factors: A Maternal and Infant Health Cohort Study

Puxian PENG; Liping WANG; Hong LI; Yuan ZHANG; Songyuan TANG; Xingmei DENG

doi:10.12259/j.issn.2095-610X.S20230505

Volume 44 Issue 5

May 2023

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Puxian PENG, Liping WANG, Hong LI, Yuan ZHANG, Songyuan TANG, Xingmei DENG. The Incidence of Premature Delivery and Its Influencing Factors: A Maternal and Infant Health Cohort Study[J]. Journal of Kunming Medical University, 2023, 44(5): 19-25. doi: 10.12259/j.issn.2095-610X.S20230505

Citation:

Puxian PENG, Liping WANG, Hong LI, Yuan ZHANG, Songyuan TANG, Xingmei DENG. The Incidence of Premature Delivery and Its Influencing Factors: A Maternal and Infant Health Cohort Study[J]. Journal of Kunming Medical University, 2023, 44(5): 19-25. doi: 10.12259/j.issn.2095-610X.S20230505

Citation:

Puxian PENG, Liping WANG, Hong LI, Yuan ZHANG, Songyuan TANG, Xingmei DENG. The Incidence of Premature Delivery and Its Influencing Factors: A Maternal and Infant Health Cohort Study[J]. Journal of Kunming Medical University, 2023, 44(5): 19-25. doi: 10.12259/j.issn.2095-610X.S20230505

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The Incidence of Premature Delivery and Its Influencing Factors: A Maternal and Infant Health Cohort Study

doi: 10.12259/j.issn.2095-610X.S20230505

1.
School of Public Health，Kunming Medical University，Kunming Yunnan 650500
2.
Dept. of Gynaecology and Obstetrics，Qujing Maternal and Child-care Hospital， Qujing Yunnan 655002，China

Received Date: 2023-01-28
Publish Date: 2023-05-25

Abstract

Abstract

Objective To understand and analyze the incidence of premature delivery and its influencing factors in Qujing city, Yunnan province, so as to provide the scientific basis for the early intervention. Methods Based on Qujing Maternal and Child Health Hospital, we selected the pregnant women who met the inclusion criteria from September 1, 2020 to October 31, 2021 as the research objective, followed up the basic situation and delivery outcome of pregnant women, and analyzed the epidemiological characteristics and influencing factors of premature delivery by chi-square test and logistic regression model. Results Among 7302 pregnant women, 477 cases were premature, with an incidence of 6.53%. Among them, late preterm labor, middle preterm labor and early preterm labor accounted for 77.15%, 12.79% and 10.06% respectively. Multivariate analysis showed that the risk factors of premature delivery were: low education level （i.e. primary school or below, junior high school and senior high school）, pregnancy ≥3 times, parity ≥3 times, placenta previa, twin or multiple pregnancy, history of cesarean section, history of abortion, number of check-ups ≤8 times, gestational hypertension, gestational diabetes, premature rupture of membranes, fetal or uterine malformation （all P-value < 0.05）. Conclusion The incidence of premature delivery is high, which may be influenced by the education level of pregnant women, placenta previa during pregnancy, twin or multiple pregnancies, the number of prenatal checkups, pregnancy-induced hypertension, gestational diabetes, premature rupture of membranes, fetal or uterine malformation, and previous history of cesarean section and abortion. Therefore, we should strengthen the ability to accurately identify the risk factors of premature delivery at an early stage, so as to achieve the early detection, early prevention and early treatment, reduce its impact on mother and fetus, and promote the health of mother and baby.
- Premature delivery,
- Epidemiological characteristics,
- Influencing factors,
- Maternal and infant health cohort

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