Predictive Value of Fat-Related Body Composition in Early Pregnancy for Macrosomia Using Propensity Score Matching

The aim of this retrospective study was to assess the predictive capacity of fat-related body composition in early pregnancy for macrosomia and facilitate early screening. We analyzed 949 women who delivered at Suzhou Hospital Affiliated to Nanjing Medical University (Suzhou Municipal Hospital) between March 2021 and March 2022, categorized into 54 macrosomia, 869 normal-weight, and 26 low-weight deliveries. At 13 weeks gestation, adiposity indices including fat mass index (FMI) and percent body fat were measured. Propensity score matching (PSM) was performed at a 1:2 ratio to compare 53 macrosomic mothers with 106 normal mothers, controlling for maternal height, gestational age, and neonatal sex. Multivariate logistic regression identified independent risk factors for macrosomia. Results revealed significantly higher pre-pregnancy body mass index (BMI), body fat percentage, and FMI in the macrosomia group (P<0.05). Notably, FMI (OR=1.428, 95%CI: 1.017-2.003, P=0.039) and gestational age (OR=1.619, 95%CI: 1.095-2.395, P=0.016) emerged as independent risk factors. The diagnostic accuracy of FMI for predicting macrosomia was moderate, with an area under the curve of 73.2%. In conclusion, FMI during early pregnancy can serve as a predictive marker for macrosomia, underscoring the importance of lifestyle interventions such as dietary adjustments and exercise to mitigate the risk of macrosomia.