[Occurrence and related factors of preterm birth in Guangxi Zhuang Autonomous Region during 2017-2019]

L Kong1, Z X Chen2, Y Q Qin1

  • 1Department of Obstetrics, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning 530003, China.

Zhonghua Yi Xue Za Zhi
|November 17, 2020
PubMed

Insights

Preterm birth incidence in Guangxi was 7.45%. Advanced maternal age, multiple pregnancies, and conditions like placenta previa significantly increase preterm birth risk, with combined factors drastically elevating risk.

Area of Science:

  • Obstetrics and Gynecology
  • Public Health
  • Epidemiology

Background:

  • Preterm birth remains a significant global health concern, necessitating localized data on incidence and risk factors.
  • Understanding regional variations in preterm birth is crucial for targeted public health interventions.

Purpose of the Study:

  • To determine the incidence of preterm birth in the Guangxi Zhuang Autonomous Region.
  • To identify maternal general characteristics, pregnancy-related factors, and disease conditions associated with preterm birth.
  • To analyze the combined effects of these risk factors on preterm birth outcomes.

Main Methods:

  • A retrospective study analyzing data from live births in Guangxi from 2017-2019.
  • Inclusion of general characteristics (age, marital status), pregnancy details (parity, cesarean history, prenatal visits, fetal number), and maternal diseases (placenta previa, hypertension, etc.).
  • Logistic regression modeling to assess individual and combined risk factors for preterm birth, using WHO and China definitions.

Main Results:

  • The cumulative incidence of preterm birth in Guangxi was 7.45% (WHO) and 7.34% (China).
  • Significant risk factors included advanced maternal age, unmarried status, primiparity, previous cesarean sections, insufficient prenatal visits, multiple pregnancies, placenta previa, placental abruption, gestational hypertension, gestational diabetes, anemia, and heart disease.
  • The risk of preterm birth increased exponentially with the number of co-existing risk factors, reaching 192.11 times higher for women with seven or more factors.

Conclusions:

  • Preterm birth in Guangxi is associated with a combination of maternal demographic, pregnancy, and health status factors.
  • The cumulative impact of multiple risk factors significantly elevates the likelihood of preterm birth, underscoring the need for comprehensive maternal care.

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