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Comparison of methods for interpolating gestational weight gain between clinical visits in twin and singleton pregnancies.

Authors :
Dimitris MC
Hutcheon JA
Platt RW
Himes KP
Bodnar LM
Kaufman JS
Source :
Annals of epidemiology [Ann Epidemiol] 2021 Aug; Vol. 60, pp. 45-52. Date of Electronic Publication: 2021 Apr 22.
Publication Year :
2021

Abstract

Purpose: Researchers are interested in studying longitudinal patterns of gestational weight gain, yet this requires daily/weekly weights, and maternal weight is measured only during prenatal visits. We evaluated the relative accuracy and precision of methods for estimating maternal weight gain between prenatal visits among twin and singleton pregnancies.<br />Methods: We analyzed cohorts of dichorionic twin and singleton pregnancies delivered from 1998-2013 in Pittsburgh, Pennsylvania. We mimicked a typical study by retaining pre-pregnancy, first prenatal visit, glucose screening visit, and delivery weights, using these to fit interpolation models, estimating weight throughout pregnancy using 16 different methods, and calculating the difference in kilograms between predicted and measured values among remaining weights. We evaluated the performance of each model by calculating root mean squared error (RMSE).<br />Results: RMSE ranged from 1.55 to 6.09 kg in twins (n = 2067) and 1.45 to 4.87 kg in singletons (n = 7331). The most accurate and precise methods incorporated restricted cubic splines, random intercepts and slopes for pregnancy, and internal knots demarcating trimesters/quantiles (RMSE = 1.55/1.56 kg in twins, 1.45/1.45 kg in singletons), while individual-level linear interpolation between proximal measurements also performed well.<br />Conclusions: Accuracy and precision of methods for estimating maternal weight gain between measurements differed by model, and were best among individually-tailored and flexible models.<br /> (Copyright © 2021 Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1873-2585
Volume :
60
Database :
MEDLINE
Journal :
Annals of epidemiology
Publication Type :
Academic Journal
Accession number :
33894387
Full Text :
https://doi.org/10.1016/j.annepidem.2021.04.010