Application of group-based trajectory models to evaluate the association of fetal growth trajectories and childhood overweight and obesity: A longitudinal study with 2-year follow-up

X Xiangli Meng J Jingjing Wang N Na Zhang (High Magnetic Field Laboratory, Hefei Institutes of Physical Science) X Xiaofei Li (Institute of Crystalline Materials) Q Qingqing Wu (Department of Physics)

Abstract

Objective This study investigated whether fetal growth trajectory (FGT) can predict adverse childhood growth outcomes. The correlation between maternal metabolic factors (e.g., body mass index (BMI), diabetes during pregnancy) and FGT was evaluated. Method 1525 women with singleton pregnancies were included in this study. Fetal growth was assessed at least three times at 20–24 weeks of gestation, 28–32 weeks, and ≥36 weeks. Children’s growth was monitored from birth to 2 years old. A population-based trajectory model was used to analyze the changes in FGT with gestational age and the association between FGT and overweight and obesity in children at 2 years old. Multivariate logistic regression was used to analyze the risk factors affecting fetal growth trajectory. Odds ratio (OR) with its 95% confidence interval (CI) was calculated. Results Among the 1525 participants, trajectory analysis identified three FGTs based on fetal estimated fetal weight: an “accelerated growth trajectory” (n = 278, 18.2%), “median growth trajectory” (n = 708, 46.4%), and a “faltering growth trajectory” (n = 539, 35.4%)”. The fetus in accelerating growth trajectory faced fourth the likelihood of being overweight or obesity at 2 years old (RR = 4.22, 95% CI = 2.23, 8.00). Advanced age (OR 1.07, 95%CI 1.0–1.11), high BMI (OR 1.10, 95%CI 1.05–1.14), gestational weight gain (OR 1.05, 95%CI 1.02–1.08)), diabetes during pregnancy (OR 1.74, 95%CI 1.14–2.65)) were risk factors for accelerating growth trajectory. Conclusion These findings suggested that accelerating growth trajectory was associated with overweight or obesity in early childhood, and differences in maternal metabolic factors may alter fetal growth trajectory. This study aids in the early identification of infants susceptible to overweight or obesity.

Article Details

Journal PLoS ONE
Volume / Issue Vol. 20, Issue 9
Published September 17, 2025
Pages e0330715
ISSN 1932-6203
Publisher Public Library of Science

Journal Info

PLoS ONE

Public Library of Science

ISSN: 1932-6203 Open Access Health Sciences

Authors (5)

X

Xiangli Meng

J

Jingjing Wang

N

Na Zhang

High Magnetic Field Laboratory, Hefei Institutes of Physical Science

X

Xiaofei Li

Institute of Crystalline Materials

Q

Qingqing Wu

Department of Physics