Literature DB >> 33894387

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

Michelle C Dimitris1, Jennifer A Hutcheon2, Robert W Platt3, Katherine P Himes4, Lisa M Bodnar5, Jay S Kaufman3.   

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.
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).
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.
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.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Pregnancy; Statistical models; Twins; Weight gain

Mesh:

Year:  2021        PMID: 33894387      PMCID: PMC8355187          DOI: 10.1016/j.annepidem.2021.04.010

Source DB:  PubMed          Journal:  Ann Epidemiol        ISSN: 1047-2797            Impact factor:   6.996


  21 in total

1.  ACOG Practice Bulletin No. 101: Ultrasonography in pregnancy.

Authors: 
Journal:  Obstet Gynecol       Date:  2009-02       Impact factor: 7.661

Review 2.  Gestational weight gain in twin pregnancies and maternal and child health: a systematic review.

Authors:  L M Bodnar; S J Pugh; B Abrams; K P Himes; J A Hutcheon
Journal:  J Perinatol       Date:  2014-01-23       Impact factor: 2.521

3.  It's About Time: A Survival Approach to Gestational Weight Gain and Preterm Delivery.

Authors:  Emily M Mitchell; Stefanie N Hinkle; Enrique F Schisterman
Journal:  Epidemiology       Date:  2016-03       Impact factor: 4.822

4.  Early-pregnancy weight gain and the risk of preeclampsia: A case-cohort study.

Authors:  Lisa M Bodnar; Katherine P Himes; Barbara Abrams; Sara M Parisi; Jennifer A Hutcheon
Journal:  Pregnancy Hypertens       Date:  2018-10-15       Impact factor: 2.899

5.  The bias in current measures of gestational weight gain.

Authors:  Jennifer A Hutcheon; Lisa M Bodnar; K S Joseph; Barbara Abrams; Hyagriv N Simhan; Robert W Platt
Journal:  Paediatr Perinat Epidemiol       Date:  2012-01-16       Impact factor: 3.980

6.  Comparison of gestational weight gain z-scores and traditional weight gain measures in relation to perinatal outcomes.

Authors:  Lisa M Bodnar; Jennifer A Hutcheon; Sara M Parisi; Sarah J Pugh; Barbara Abrams
Journal:  Paediatr Perinat Epidemiol       Date:  2014-12-10       Impact factor: 3.980

7.  Pregnancy Weight Gain by Gestational Age in Women with Uncomplicated Dichorionic Twin Pregnancies.

Authors:  Jennifer A Hutcheon; Robert W Platt; Barbara Abrams; Betty J Braxter; Cara L Eckhardt; Katherine P Himes; Lisa M Bodnar
Journal:  Paediatr Perinat Epidemiol       Date:  2018-01-29       Impact factor: 3.980

8.  Identifying outliers and implausible values in growth trajectory data.

Authors:  Seungmi Yang; Jennifer A Hutcheon
Journal:  Ann Epidemiol       Date:  2015-10-19       Impact factor: 3.797

9.  Is the Association Between Pregnancy Weight Gain and Fetal Size Causal?: A Re-examination Using a Sibling Comparison Design.

Authors:  Jennifer A Hutcheon; Olof Stephansson; Sven Cnattingius; Lisa M Bodnar; Kari Johansson
Journal:  Epidemiology       Date:  2019-03       Impact factor: 4.822

10.  New approach for the identification of implausible values and outliers in longitudinal childhood anthropometric data.

Authors:  Joy Shi; Jill Korsiak; Daniel E Roth
Journal:  Ann Epidemiol       Date:  2018-01-11       Impact factor: 3.797

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