Now, no recommendations of gestational weight gain (GWG) after gestational diabetes mellitus (GDM) diagnosis for Chinese women was made. This study aimed to explore the optimal GWG after oral glucose tolerance test (OGTT) for Chinese women with GDM. The GWG status of 11,570 women was retrospectively analyzed. Binary regression model and restricted cubic spline were used to estimate the association between GWG after OGTT and the predicted probability of adverse outcomes. Based on above, the optimal GWG was defined as the range that not exceed 1% increase in the predicted probability from the lowest point. Results shown that every increased one unit GWG after OGTT was associated with higher risks of macrosomia, cesarean section and LGA, and lower risk of preterm birth. According to the WHO and Working Group on Obesity in China (WGOC) recommended pre-pregnancy BMI category, the optimal GWG were proposed: 3.66 to 6.66 kg/3.66 to 6.66 kg in underweight group, 3.07 to 6.50 kg/3.02 to 6.40 kg in normal weight group, 1.06 to 2.73 kg/0 to 1.99 kg in overweight group, and not applicable/- 0.22 to 2.53 kg in obese group, respectively. Therefore, it is necessary to classified Chinese population based on the WGOC recommended pre-pregnancy BMI category, that influenced the contribution of pre-pregnancy BMI groups and the optimal GWG recommendation for GDM women with overweight or obesity.
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http://dx.doi.org/10.1038/s41598-024-51879-x | DOI Listing |
Front Cell Infect Microbiol
December 2024
Department of Obstetrics, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, China.
Background: Existing literature indicates that Gestational diabetes mellitus (GDM) and maternal obesity disrupt the normal colonization of the neonatal gut microbiota alone. Still, the combined impact of GDM and excessive gestational weight gain (EGWG) on this process remains under explored. The association between gestational weight gain before/after GDM diagnosis and neonatal gut microbiota characteristics is also unclear.
View Article and Find Full Text PDFObesity (Silver Spring)
January 2025
Diabetes and Vascular Medicine Unit, Monash Health, Melbourne, Victoria, Australia.
Objective: The objective of this study was to evaluate a lifestyle intervention implemented into routine antenatal care to optimize gestational weight gain (GWG) and outcomes using the Reach, Efficacy, Adoption, Implementation, and Maintenance (RE-AIM) framework.
Methods: This study was an embedded pragmatic behavioral intervention delivered by a health coach and supported by a physician over five sessions for women with a prepregnancy BMI between 25 and 43 kg/m who were <23 weeks' gestation in an Australian maternity service. Both intervention and standard care received routine antenatal care.
J Family Med Prim Care
October 2024
Department of Obstetrics and Gynaecology, Jawaharlal Nehru Medical College, Faculty of Medicine, AMU, Aligarh, Uttar Pradesh, India.
BMC Pregnancy Childbirth
November 2024
School of Public Health, University of São Paulo (USP), Avenida Doutor Arnaldo, 715, São Paulo, 01246904, São Paulo, Brazil.
Background: Gestational weight gain (GWG) is a critical factor influencing maternal and fetal health. Excessive or insufficient GWG can lead to various complications, including gestational diabetes, hypertension, cesarean delivery, low birth weight, and preterm birth. This study aims to develop and evaluate machine learning models to predict GWG categories: below, within, or above recommended guidelines.
View Article and Find Full Text PDFJ Acad Nutr Diet
October 2024
Arkansas Children's Nutrition Center, Little Rock, Arkansas; Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas; Arkansas Children's Research Institute, Little Rock, Arkansas. Electronic address:
Background: Excessive gestational weight gain (eGWG) increases risk for pregnancy complications and future obesity for pregnant persons and children. Yet, it is unclear whether eGWG leads to higher child adiposity at 2 years, independent of the pregnant person's body mass index (BMI) while considering important covariates. Moreover, understanding the characteristics of pregnant persons experiencing eGWG will help design future targeted interventions.
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