Preconception metabolic indicators predict gestational diabetes and offspring birthweight

Area of Science:

• Reproductive health and metabolic disease research.
• Maternal-fetal medicine and offspring health outcomes.

Background:

• Gestational diabetes (GDM) and macrosomia increase offspring risks for diabetes and cardiovascular disease.
• Maternal metabolic health prior to conception can influence pregnancy outcomes and long-term child health.

Purpose of the Study:

• To investigate associations between pre-pregnancy metabolic indicators and gestational diabetes (GDM) and birthweight.
• To evaluate the predictive performance of lipid accumulation product (LAP) and visceral adiposity index (VAI) for GDM and large-for-gestational-age (LGA) infants compared to other markers.

Main Methods:

• Utilized data from the Cardiovascular Risk in Young Finns Study linked to the Finnish birth registry (n=349 women).
• Examined pre-pregnancy body mass index (BMI), triglycerides, waist circumference, insulin, HOMA-IR, LAP, and VAI as predictors.
• Employed logistic regression, adjusting for age, parity, and smoking, to assess prediction of GDM and LGA.

Main Results:

• Pre-pregnancy waist circumference was the strongest predictor for both GDM (aOR 1.66) and LGA (aOR 1.41).
• Discrimination for GDM was similar across all examined metabolic markers.
• Waist circumference showed significantly higher predictive accuracy for LGA compared to BMI (AUC analysis).

Conclusions:

• Maternal metabolic health indicators before pregnancy are associated with GDM and offspring birthweight.
• Waist circumference emerges as a key, easily measurable predictor for adverse pregnancy outcomes like GDM and LGA.
• These findings underscore the impact of pre-pregnancy metabolic status on both maternal and offspring health trajectories.