Can body mass index accurately predict adiposity in newborns?

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29 Citations (Scopus)

Abstract

Body mass index (BMI) is correlated with body fatness and risk of related diseases in children and adults. Proportionality indexes such as BMI and ponderal index (PI) have been suggested as complementary measures in neonatal growth assessment. Yet, they are still not used in neonates and their correlation with fatness is unknown. The aim of the study was to test the hypothesis that BMI z-score would predict neonatal adiposity. Body composition measurements (ie, fat mass, fat-free mass) by air displacement plethysmography (PEA POD, LMI, Concord-USA), weight and length were obtained in 200 infants ≥36 weeks ' gestational age (GA) at birth. Linear regression analysis showed a direct association between BMI z-score and %fat mass (r2=0.43, p

Original languageEnglish
JournalArchives of Disease in Childhood: Fetal and Neonatal Edition
Volume99
Issue number3
DOIs
Publication statusPublished - 2014

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Adiposity
Body Mass Index
Newborn Infant
Fats
Weights and Measures
Plethysmography
Body Composition
Gestational Age
Linear Models
Air
Regression Analysis
Parturition
Growth

ASJC Scopus subject areas

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

Cite this

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title = "Can body mass index accurately predict adiposity in newborns?",
abstract = "Body mass index (BMI) is correlated with body fatness and risk of related diseases in children and adults. Proportionality indexes such as BMI and ponderal index (PI) have been suggested as complementary measures in neonatal growth assessment. Yet, they are still not used in neonates and their correlation with fatness is unknown. The aim of the study was to test the hypothesis that BMI z-score would predict neonatal adiposity. Body composition measurements (ie, fat mass, fat-free mass) by air displacement plethysmography (PEA POD, LMI, Concord-USA), weight and length were obtained in 200 infants ≥36 weeks ' gestational age (GA) at birth. Linear regression analysis showed a direct association between BMI z-score and {\%}fat mass (r2=0.43, p",
author = "{De Cunto}, Angela and Giulia Paviotti and Luca Ronfani and Laura Travan and Jenny Bua and Gabriele Cont and Sergio Demarini",
year = "2014",
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T1 - Can body mass index accurately predict adiposity in newborns?

AU - De Cunto, Angela

AU - Paviotti, Giulia

AU - Ronfani, Luca

AU - Travan, Laura

AU - Bua, Jenny

AU - Cont, Gabriele

AU - Demarini, Sergio

PY - 2014

Y1 - 2014

N2 - Body mass index (BMI) is correlated with body fatness and risk of related diseases in children and adults. Proportionality indexes such as BMI and ponderal index (PI) have been suggested as complementary measures in neonatal growth assessment. Yet, they are still not used in neonates and their correlation with fatness is unknown. The aim of the study was to test the hypothesis that BMI z-score would predict neonatal adiposity. Body composition measurements (ie, fat mass, fat-free mass) by air displacement plethysmography (PEA POD, LMI, Concord-USA), weight and length were obtained in 200 infants ≥36 weeks ' gestational age (GA) at birth. Linear regression analysis showed a direct association between BMI z-score and %fat mass (r2=0.43, p

AB - Body mass index (BMI) is correlated with body fatness and risk of related diseases in children and adults. Proportionality indexes such as BMI and ponderal index (PI) have been suggested as complementary measures in neonatal growth assessment. Yet, they are still not used in neonates and their correlation with fatness is unknown. The aim of the study was to test the hypothesis that BMI z-score would predict neonatal adiposity. Body composition measurements (ie, fat mass, fat-free mass) by air displacement plethysmography (PEA POD, LMI, Concord-USA), weight and length were obtained in 200 infants ≥36 weeks ' gestational age (GA) at birth. Linear regression analysis showed a direct association between BMI z-score and %fat mass (r2=0.43, p

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