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The Super Imposition by Translation And Rotation (SITAR) model can characterize pregnancy weight gain patterns. This method reveals peak weight gain occurs earlier for normal and overweight women compared to obese women.

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Area of Science:

  • Obstetrics and Gynecology
  • Biostatistics
  • Maternal-Fetal Medicine

Background:

  • Gestational weight gain (GWG) is typically measured by total amount, but the pattern of gain is crucial for maternal and fetal health outcomes.
  • The Super Imposition by Translation And Rotation (SITAR) model, known for its biologically interpretable parameters, has successfully modeled childhood growth trajectories.
  • Applying the SITAR model to GWG trajectories offers a novel approach to understanding pregnancy weight dynamics.

Purpose of the Study:

  • To assess the feasibility of applying the SITAR model to describe gestational weight gain (GWG) trajectories.
  • To characterize GWG patterns, including amount, timing, and acceleration, across different pre-pregnancy body mass index (BMI) categories.

Main Methods:

  • A cohort of 3470 women (normal-weight, overweight, obese) was analyzed using serial prenatal weight measurements.
  • The SITAR model, a non-linear mixed-effects model, was applied to GWG data stratified by pre-pregnancy BMI.
  • Model complexity was varied, with the best-fitting model selected to represent GWG patterns for each BMI group.

Main Results:

  • Reduced SITAR models successfully converged after modifications, explaining 95%-97% of the variation in GWG trajectories.
  • Peak rates of weight gain were observed between 20-22 weeks gestation.
  • Peak GWG rates were higher in normal-weight (0.59 kg/week) and overweight (0.57 kg/week) women compared to obese women (0.46 kg/week).

Conclusions:

  • The SITAR model, with necessary adjustments, is a feasible and effective tool for characterizing gestational weight gain patterns.
  • Understanding these patterns can provide deeper insights into pregnancy health and outcomes across diverse BMI groups.