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[Occurrence and related factors of preterm birth in Guangxi Zhuang Autonomous Region during 2017-2019]
1Department of Obstetrics, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning 530003, China.
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.
Abstract:
Objective: To investigate the incidence of preterm birth in Guangxi Zhuang Autonomous Region and explore the related factors and their combined effects. Methods: The study subjects were women giving birth to live babies at the monitoring points of critical maternal hospital monitoring system in Guangxi Zhuang Autonomous Region from January 1, 2017 to December 31, 2019. The data of general characteristics (age and marital status), pregnancies (parity, number of previous cesarean delivery, the number of prenatal check and number of fetuses in this pregnancy) and disease conditions (placenta previa, placental abruption, hypertension, diabetes, anemia, and heart disease) were collected, and the incidence of preterm birth were calculated according to the definition of preterm birth set by WHO and China, respectively. Logistic regression model was used to explore the factors associated with premature birth and their combined effects. Results: According to definitions of WHO and China, the cumulative incidence of preterm birth in Guangxi from 2017 to 2019 was 7.45% (16 819/225 727) and 7.34% (16 559/225 727), respectively. Advanced age [≤34 years old as reference, OR (95%CI) of 35-39 and ≥40 years old were 1.36 (1.30-1.42) and 1.61 (1.50-1.74), respectively], unmarried (including divorced or widowed) [OR (95%CI): 1.28 (1.17-1.40)], primiparae [OR (95%CI): 1.34 (1.29-1.40)], previous cesarean section [no previous cesarean section as reference, OR (95%CI) of 1 and ≥2 times of previous cesarean section were 1.30 (1.24-1.36) and 1.85 (1.65-2.08), respectively], antenatal examination<8 [OR (95%CI): 2.72 (2.62-2.81)], multiple pregnancies [OR (95%CI): 15.00 (14.01-16.06)], placenta previa [OR (95%CI): 6.90 (6.35-7.50)], placental abruption [OR (95%CI): 8.18 (7.36-9.10)], gestational hypertension [OR (95%CI): 2.29 (2.17-2.42)], gestational diabetes mellitus [OR (95%CI): 1.43 (1.37-1.49)], anemia [OR (95%CI): 1.10 (1.07-1.14)], and heart diseases [OR (95%CI): 2.98(2.43-3.65)] were all positively correlated with preterm birth. The risk of preterm birth in pregnant women exposed to 1, 2, 3, 4, 5, 6 and ≥7 preterm birth related factors was 1.51, 2.29, 4.49, 9.69, 20.87, 46.88 and 192.11 times that of non-exposed women, respectively (all P values<0.001). Conclusion: Preterm birth is associated with maternal general characteristics, pregnancy and disease status, and the combined effect of preterm birth related factors significantly increases the risk of preterm birth.
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