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[Relationship between pre-pregnancy body mass index and preterm birth]
1Department of Child, Adolescent and Women's Health, Peking University School of Public Health, Beijing 100191, China.
Insights
Pre-pregnancy obesity significantly increases the risk of preterm birth. Maintaining a healthy body mass index (BMI) before conception is crucial for reducing preterm birth rates.
Area of Science:
- Obstetrics and Gynecology
- Reproductive Health
- Maternal-Fetal Medicine
Background:
- Preterm birth remains a leading cause of neonatal morbidity and mortality worldwide.
- Understanding modifiable risk factors, such as pre-pregnancy body mass index (BMI), is essential for effective prevention strategies.
Purpose of the Study:
- To investigate the association between pre-pregnancy body mass index (BMI) and the risk of preterm birth.
- To identify key maternal factors contributing to preterm delivery.
Main Methods:
- A case-control study involving 174 preterm births and 382 term deliveries was conducted.
- Multivariate logistic regression analysis was employed to assess risk factors, adjusting for covariates like maternal age and socioeconomic status.
Main Results:
- Pre-pregnancy obesity was identified as a significant risk factor for preterm birth (adjusted odds ratio: 2.461).
- Gestational diabetes mellitus, pregnancy-induced hypertension, and a family history of preterm birth were also associated with increased risk.
Conclusions:
- Pre-pregnancy obesity is a critical risk factor necessitating targeted preconception care.
- Promoting a normal BMI range before pregnancy is a vital strategy to reduce the incidence of preterm birth.
Objective:
To study the relationship between pre-pregnancy body mass index (BMI) and preterm birth.
Methods:
A case-control study was conducted in Haidian Maternal and Child Health Hospital in Beijing from January to April in 2013. This study contained 174 preterm births in the case group and 382 term deliveries in the control group. The height, pre-pregnancy body weight, body weight before delivery, gestational weeks, history of diseases, family history of diseases, and complications during pregnancy of the subjects were collected. Multivariate Logistic regression was used to estimate the odds ratio and 95% confidence intervals (CI) after adjustment by maternal age, education, smoke during pregnancy, primiparous, mean income, and mean family living space.
Results:
After analyzing the relevant risk factors of preterm birth, the multivariate Logistic regression showed that pre-pregnancy obesity was a risk factor for preterm birth, the adjusted odds ratio was 2.461 (95% CI: 1.174-5.159, P=0.017). The associations between pre-pregnancy overweight and preterm birth or pre-pregnancy underweight and preterm birth were not found. The gestational diabetes mellitus, pregnancy-induced hypertension, and family history of preterm birth were risk factors for preterm birth, the adjusted odds ratios were 1.781 (95% CI: 1.025-3.095, P=0.040), 3.831 (95% CI: 2.044-7.180, P<0.001), and 3.675 (95% CI: 1.358-9.942, P=0.010), respectively.
Conclusion:
Pre-pregnancy obesity appeared to be a risk factor for preterm birth. To decrease the incidence of preterm birth, women should improve preconception care and keep their BMI in a normal range before pregnancy.
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