Related Experiment Video
Updated: Jan 11, 2026

Modeling Ascending Vaginal Infection, Preterm Birth, and Neonatal Morbidity in Mice
Published on: October 10, 2025
Gestational Weight Gain and Different Degrees of Preterm Birth: A Hospital-Based Study in Chinese Singleton
Xiaomei Xiang1,2, Weihua Wang3, Yan Yu1
1School of Public Health, Xi'an Jiaotong University, Xi'an, China.
Insights
Gestational weight gain (GWG) significantly impacts preterm birth risk. Low GWG increases preterm birth odds, while excess GWG reduces it, highlighting the need for appropriate weight management during pregnancy.
Area of Science:
- Obstetrics and Gynecology
- Maternal-Fetal Medicine
- Public Health
Background:
- The association between gestational weight gain (GWG) and preterm birth is not fully understood.
- Preterm birth remains a significant global health concern.
Purpose of the Study:
- To investigate the relationship between gestational weight gain and preterm birth in the Chinese population.
- To analyze GWG's impact across different degrees of preterm birth.
Main Methods:
- Retrospective observational study involving 3203 mother-newborn pairs.
- Logistic regression analysis to assess GWG and preterm birth association.
- Data collected via questionnaire from July 2015 to August 2017.
Main Results:
- Mean GWG was lower in the preterm birth group (13.00 ± 4.87 kg) compared to the term group (15.72 ± 4.88 kg).
- Low GWG increased preterm birth odds (OR 2.13), while excess GWG decreased them (OR 0.42).
- Low GWG showed higher odds for very preterm birth (OR 4.06), moderate (OR 2.14), and late preterm birth (OR 1.40).
Conclusions:
- Appropriate gestational weight gain is crucial for preventing preterm birth.
- Maternal weight management and education are vital components of prenatal care to mitigate preterm birth risks.
- The adverse impact of low GWG is dependent on the severity of preterm birth.
Aim:
The link between gestational weight gain and preterm birth remains inconclusive. The present study examines the association between gestational weight gain (GWG) and preterm birth among the Chinese population.
Design:
A retrospective observational study design.
Methods:
Data was from a hospital-based sub-study of the physical growth and development survey for Chinese newborns with different gestational ages, which was conducted from July 2015 to August 2017. Singleton newborns aged from 24 to 42 + 6 weeks' gestation and their mothers were investigated. A self-designed questionnaire was used for the collection of information. 3203 participants were included in the analysis and a logistic regression model was adopted to explore the association of GWG and different degrees of preterm birth and odds ratios and 95% CI were estimated.
Results:
The mean GWG in the preterm group was significantly lower than that in the term group (13.00 ± 4.87 vs 15.72 ± 4.88 kg). After adjusting for potential confounders, the odds ratio of preterm birth was 2.13 (95% CI: 1.62-2.78) for mothers with low GWG and 0.42 (95% CI: 0.32-0.56) for those with excess GWG in comparison with those with adequate GWG. The odds ratio of low GWG was about 4.06 (95% CI: 2.87-5.72) for very preterm birth, 2.14 (95% CI: 1.47-3.10) for moderate preterm birth and 1.40 (95% CI: 1.03-1.91) for late preterm birth. The odds ratio of excess GWG was about 0.36 (95% CI: 0.24-0.54) for very term birth, 0.38 (95% CI: 0.25-0.57) for moderate preterm birth and 0.47 (95% CI: 0.35-0.64) for late preterm birth.
Patient Or Public Contribution:
Adverse impact of low GWG was dependent on the degree of preterm birth. Weight management and health education during pregnancy in maternal nursing practice should focus on the appropriate increase of GWG against preterm birth.
Related Concept Videos
Pathophysiology of Diabetes
Type 1 diabetes is characterized by autoimmune-mediated destruction of pancreatic β cells, with environmental factors potentially triggering this process in genetically susceptible individuals. Despite many not having a family history, certain genes increase susceptibility,...
Diabetes Mellitus: Type 2 and Gestational
Regression Toward the Mean

