ORIGINAL RESEARCH article

Front. Nutr.

Sec. Nutritional Epidemiology

Volume 12 - 2025 | doi: 10.3389/fnut.2025.1633088

This article is part of the Research TopicMaternal Metabolic Health: From Preconception to PostpartumView all 9 articles

Pre-pregnancy Body Mass Index and Risk of Macrosomia: Glycemic Status-Specific Thresholds and Subgroup Interactions in a Prospective Cohort

Provisionally accepted
  • 1Central South University, Changsha, China
  • 2Tianjin Medical University, Tianjin, China
  • 3Kunming Medical University, Kunming, China

The final, formatted version of the article will be published soon.

Background: Macrosomia, a critical perinatal complication, is closely linked to maternal obesity and gestational diabetes mellitus (GDM). However, the extent to which GDM status modifies the association between pre-pregnancy body mass index (BMI) and macrosomia, particularly across demographic subgroups, remains poorly understood. This study aimed to quantify glycemic status-specific risk thresholds and explore subgroup interactions in a large prospective cohort.Methods: In this prospective cohort study, 34,031 women initiating antenatal care before 14 weeks of gestation were enrolled at a tertiary hospital in Central China (2013-2019). Participants were stratified by GDM status and pre-pregnancy BMI categories. Multivariable logistic regression, restricted cubic spline (RCS) models, and interaction analyses evaluated associations between BMI and macrosomia (birth weight ≥ 4000 g), adjusting for sociodemographic, behavioral, and clinical covariates.Results: Macrosomia incidence was markedly higher in GDM (6.2%) versus non-GDM pregnancies (3.6%). Adjusted models revealed a steeper dose-response gradient in GDM: each 1-unit BMI increase conferred 24% higher odds (aOR: 1.24 [95% CI 1.20, 1.28]) in GDM versus 13% (aOR: 1.13 [1.11, 1.15]) in non-GDM. Obesity amplified risk 6.80-fold (aOR: 6.80 [4.02, 11.51]) in GDM versus 4.70-fold (aOR: 4.70 [3.12, 7.10)]) in non-GDM. RCS models identified nonlinear trajectories in both GDM and non-GDM pregnancies (reference level: 22.94 kg/m2 for GDM and 25.10 kg/m2 for non-GDM). Significant interactions were observed in GDM pregnancies, and the association between pre-pregnancy BMI values and macrosomia was stronger in women < 35 years (aOR: 1.29 versus ≥35 years, aOR: 1.15), primigravida (aOR: 1.61 versus multigravida, aOR: 1.18), primiparous (aOR: 1.36 versus multiparous, aOR: 1.18), and female infants (aOR: 1.29 versus male, aOR: 1.20). In non-GDM pregnancies, only parity (primiparous, aOR: 1.08 versus multiparous, aOR: 1.19) and gravidity (primigravida, aOR: 1.05 versus multigravida, aOR: 1.19) modified the pre-pregnancy BMI-macrosomia relationship.Conclusion: GDM status modifies pre-pregnancy BMI-associated macrosomia risks, with distinct thresholds and subgroup vulnerabilities. These findings necessitate glycemic status-specific clinical guidelines and precision interventions targeting high-risk subgroups. Universal preconception weight optimization remains pivotal for non-GDM populations. This study underscores the urgency of integrating metabolic and demographic heterogeneity into perinatal care to mitigate the dual epidemics of overweight/obesity and GDM.

Keywords: Macrosomia, pre-pregnancy body mass index, gestational diabetes mellitus, prospective cohort, maternal metabolic health, risk stratification

Received: 22 May 2025; Accepted: 18 Jun 2025.

Copyright: © 2025 Wu, Xiao, Chen, Qin and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Jiabi Qin, Kunming Medical University, Kunming, China
Tingting Wang, Central South University, Changsha, China

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