Identification of small for gestational age by population-based and customized growth charts in newborns of obese and normal-weight primiparous women

Julianne R. Lauring, Megha Gupta, Allen Kunselman, John Repke, Jaimey Pauli

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Objective: Our hypothesis was that newborns of obese mothers would be more likely to be classified as small for gestational age (SGA) by their customized growth curves than by the standard growth curves when compared to newborns of normal-weight mothers. Methods: This is a retrospective cohort of primiparous patients delivering between 1 July 2008 and 30 June 2012. Normal-weight was defined as BMI ≤25 kg/m2 and obese as BMI ≥ 30 kg/m2. Infant birth-weight was characterized as SGA or non-SGA from the Lubchenco curve, the Fenton Preterm Growth Chart, and the customized growth curve. Results: Infants were more likely to be classified as SGA on the customized curve compared with Lubchenco curve. Odds ratio was 2.8 (CI: 1.7–4.4; p = 0.001) for obese women and was 2.9 (CI: 1.7–5.1; p < 0.001) for normal-weight women. Infants were also more likely to be classified as SGA based on the customized curve compared with the Fenton Preterm Growth Curve. The odds ratio was 2.3 (CI: 1.4–3.8; p = 0.001) for obese women and was 1.5 (CI: 1.01–2.33; p = 0.04) for normal-weight women. Conclusions: Population-based curves may mask SGA in obese women. Our study demonstrates that customized growth curves identify more SGA than population-based growth curves in obese and normal-weight women.

Original languageEnglish (US)
Pages (from-to)3570-3574
Number of pages5
JournalJournal of Maternal-Fetal and Neonatal Medicine
Volume29
Issue number21
DOIs
StatePublished - Nov 1 2016

Fingerprint

Growth Charts
Gestational Age
Newborn Infant
Weights and Measures
Population
Growth
Odds Ratio
Mothers
Population Growth
Masks
Birth Weight

All Science Journal Classification (ASJC) codes

  • Pediatrics, Perinatology, and Child Health
  • Obstetrics and Gynecology

Cite this

@article{bd5b0185b9504b0ba2fe0afa27542845,
title = "Identification of small for gestational age by population-based and customized growth charts in newborns of obese and normal-weight primiparous women",
abstract = "Objective: Our hypothesis was that newborns of obese mothers would be more likely to be classified as small for gestational age (SGA) by their customized growth curves than by the standard growth curves when compared to newborns of normal-weight mothers. Methods: This is a retrospective cohort of primiparous patients delivering between 1 July 2008 and 30 June 2012. Normal-weight was defined as BMI ≤25 kg/m2 and obese as BMI ≥ 30 kg/m2. Infant birth-weight was characterized as SGA or non-SGA from the Lubchenco curve, the Fenton Preterm Growth Chart, and the customized growth curve. Results: Infants were more likely to be classified as SGA on the customized curve compared with Lubchenco curve. Odds ratio was 2.8 (CI: 1.7–4.4; p = 0.001) for obese women and was 2.9 (CI: 1.7–5.1; p < 0.001) for normal-weight women. Infants were also more likely to be classified as SGA based on the customized curve compared with the Fenton Preterm Growth Curve. The odds ratio was 2.3 (CI: 1.4–3.8; p = 0.001) for obese women and was 1.5 (CI: 1.01–2.33; p = 0.04) for normal-weight women. Conclusions: Population-based curves may mask SGA in obese women. Our study demonstrates that customized growth curves identify more SGA than population-based growth curves in obese and normal-weight women.",
author = "Lauring, {Julianne R.} and Megha Gupta and Allen Kunselman and John Repke and Jaimey Pauli",
year = "2016",
month = "11",
day = "1",
doi = "10.3109/14767058.2016.1139568",
language = "English (US)",
volume = "29",
pages = "3570--3574",
journal = "Journal of Maternal-Fetal and Neonatal Medicine",
issn = "1476-7058",
publisher = "Informa Healthcare",
number = "21",

}

TY - JOUR

T1 - Identification of small for gestational age by population-based and customized growth charts in newborns of obese and normal-weight primiparous women

AU - Lauring, Julianne R.

AU - Gupta, Megha

AU - Kunselman, Allen

AU - Repke, John

AU - Pauli, Jaimey

PY - 2016/11/1

Y1 - 2016/11/1

N2 - Objective: Our hypothesis was that newborns of obese mothers would be more likely to be classified as small for gestational age (SGA) by their customized growth curves than by the standard growth curves when compared to newborns of normal-weight mothers. Methods: This is a retrospective cohort of primiparous patients delivering between 1 July 2008 and 30 June 2012. Normal-weight was defined as BMI ≤25 kg/m2 and obese as BMI ≥ 30 kg/m2. Infant birth-weight was characterized as SGA or non-SGA from the Lubchenco curve, the Fenton Preterm Growth Chart, and the customized growth curve. Results: Infants were more likely to be classified as SGA on the customized curve compared with Lubchenco curve. Odds ratio was 2.8 (CI: 1.7–4.4; p = 0.001) for obese women and was 2.9 (CI: 1.7–5.1; p < 0.001) for normal-weight women. Infants were also more likely to be classified as SGA based on the customized curve compared with the Fenton Preterm Growth Curve. The odds ratio was 2.3 (CI: 1.4–3.8; p = 0.001) for obese women and was 1.5 (CI: 1.01–2.33; p = 0.04) for normal-weight women. Conclusions: Population-based curves may mask SGA in obese women. Our study demonstrates that customized growth curves identify more SGA than population-based growth curves in obese and normal-weight women.

AB - Objective: Our hypothesis was that newborns of obese mothers would be more likely to be classified as small for gestational age (SGA) by their customized growth curves than by the standard growth curves when compared to newborns of normal-weight mothers. Methods: This is a retrospective cohort of primiparous patients delivering between 1 July 2008 and 30 June 2012. Normal-weight was defined as BMI ≤25 kg/m2 and obese as BMI ≥ 30 kg/m2. Infant birth-weight was characterized as SGA or non-SGA from the Lubchenco curve, the Fenton Preterm Growth Chart, and the customized growth curve. Results: Infants were more likely to be classified as SGA on the customized curve compared with Lubchenco curve. Odds ratio was 2.8 (CI: 1.7–4.4; p = 0.001) for obese women and was 2.9 (CI: 1.7–5.1; p < 0.001) for normal-weight women. Infants were also more likely to be classified as SGA based on the customized curve compared with the Fenton Preterm Growth Curve. The odds ratio was 2.3 (CI: 1.4–3.8; p = 0.001) for obese women and was 1.5 (CI: 1.01–2.33; p = 0.04) for normal-weight women. Conclusions: Population-based curves may mask SGA in obese women. Our study demonstrates that customized growth curves identify more SGA than population-based growth curves in obese and normal-weight women.

UR - http://www.scopus.com/inward/record.url?scp=84961209156&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84961209156&partnerID=8YFLogxK

U2 - 10.3109/14767058.2016.1139568

DO - 10.3109/14767058.2016.1139568

M3 - Article

C2 - 26755451

AN - SCOPUS:84961209156

VL - 29

SP - 3570

EP - 3574

JO - Journal of Maternal-Fetal and Neonatal Medicine

JF - Journal of Maternal-Fetal and Neonatal Medicine

SN - 1476-7058

IS - 21

ER -