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Validity of self-reported pregravid weight.

S M Yu¹, D A Nagey

¹Department of Maternal and Child Health, School of Hygiene and Public Health, Johns Hopkins University, Baltimore, MD.

Annals of Epidemiology

|September 1, 1992

Summary

Self-reported pregravid weight is often inaccurate, differing significantly from measured weight. Adjusting self-reported data using regression can improve its validity for prenatal studies.

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Area of Science:

Obstetrics and Gynecology
Nutritional Science
Biostatistics

Background:

Self-reported pregravid weight is a standard metric for assessing nutritional status in prenatal weight gain research.
Accurate baseline weight is crucial for monitoring healthy pregnancy outcomes.

Purpose of the Study:

To evaluate the accuracy of self-reported pregravid weight against measured weight.
To identify factors influencing the validity of self-reported pregravid weight.
To propose methods for correcting self-reported weight data.

Main Methods:

The study analyzed data from 1591 pregnant individuals receiving prenatal care within the first trimester.
Statistical analysis included t-tests for weight differences and multiple linear regression models.
Limits of agreement were calculated to quantify the range of discrepancies.

Main Results:

A significant average difference of 4.3 lb was observed between self-reported and measured pregravid weights (P < 0.001).
Self-reported weight alone explained 88% of the variance in estimated pregravid weight.
The accuracy of self-reported weight varied based on sociodemographic and anthropometric characteristics.

Conclusions:

Self-reported pregravid weight demonstrates variable validity, influenced by individual characteristics.
Regression-based adjustments can effectively reduce errors in self-reported pregravid weight data.
Improved accuracy of baseline weight reporting enhances the reliability of prenatal nutrition studies.

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