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Do Women Know Their Prepregnancy Weight?

Diana M Thomas1, Emily Oken2, Sheryl L Rifas-Shiman2

  • 1Department of Mathematical Sciences, United States Military Academy, West Point, New York, USA.

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Summary

A new model estimates prepregnancy weight from measured pregnancy weight, offering a solution for women unaware of their prepregnancy weight. This tool helps identify misreported weights and incorrect gestational weight gain classifications.

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Area of Science:

  • Obstetrics and Gynecology
  • Maternal Health
  • Biostatistics

Background:

  • Accurate prepregnancy weight is crucial for monitoring gestational weight gain and maternal/fetal health outcomes.
  • Many women do not know their prepregnancy weight, leading to potential misclassification of gestational weight gain categories.

Purpose of the Study:

  • To develop and validate a model for estimating prepregnancy weight using routinely measured pregnancy weight.
  • To create a software tool for objective quantification of prepregnancy weight.

Main Methods:

  • Model development using data from Project Viva (n=301).
  • Model validation using data from Fit for Delivery (FFD) (n=401) and Programming Research in Obesity, Growth, Environment and Social Stressors (PROGRESS) studies.
  • Demonstration of model utility in a diverse population (Mexico City).

Main Results:

  • The model demonstrated good agreement and low bias in validation studies (Project Viva: R²=0.95, bias=0.68 kg; FFD: R²=0.96, bias=1.60 kg).
  • Higher deviations were observed in the PROGRESS study (R²=0.81, bias=2.83 kg), highlighting potential population-specific variations.
  • The model was implemented into user-friendly software.

Conclusions:

  • The developed model offers a practical method to estimate prepregnancy weight when it is unknown.
  • The software aids in identifying misreported weights and correcting gestational weight gain classifications.
  • This tool supports improved maternal health monitoring in routine healthcare settings.