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Prediction of pre‐pregnancy weight from first trimester visit (1031.2)
Author(s) -
Thomas Diana,
Halawani Mirna,
Phelan Suzanne,
Butte Nancy,
Redman Leanne
Publication year - 2014
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.28.1_supplement.1031.2
Subject(s) - pregnancy , confidence interval , medicine , limits of agreement , first trimester , weight gain , gestational age , obstetrics , gestation , body weight , genetics , biology , nuclear medicine
Gaining weight within the Institute of Medicine (IOM) guidelines leads to healthy pregnancy outcomes. In order to calculate weight gain during pregnancy, clinicians require an accurate measurement of pre‐pregnancy weight. Unfortunately, in most cases, pregravid weight is self‐reported which can be an unreliable measure. Purpose: To develop and validate a mathematical model to estimate pre‐pregnancy weight from weight measured during a first trimester prenatal visit. Methods: After testing the validity of self‐reported pregravid weight, four models were constructed using two comprehensive clinical databases containing weight directly measured before pregnancy and during the first trimester. Maternal age, race, height, and both gestational age and measured weight at the earliest first trimester visit, were used to predict pregravid weight. Each model was validated on independent data not used for model development. Bland‐Altman analysis was performed to test the validity of each model. Results: Although self‐reported pregravid weight correlated well with measured weight (R2=0.98), the Bland‐Altman analysis suggested a negative bias (‐0.62 kg), confidence intervals [‐4.4, 3.1]), indicating increased under‐reporting of pregravid weight with higher BMI classifications. The developed predictive models validated well, demonstrating good agreement and low bias: (R2=0.96, Bias =0.06, confidence intervals [‐5.46,5.58 kg]). Conclusions: The developed models provide an alternative method for health care providers and researchers to determine pregravid weight and appropriately classify women into the correct set of BMI‐specific IOM gestational weight gain guidelines.