Validity of anthropometric equations to estimate infant fat mass at birth and in early infancy

Jennifer S Cauble1, Mira Dewi1, Holly R Hull2

  • 1Department of Dietetics and Nutrition, School of Health Professions, University of Kansas Medical Center, 3901 Rainbow BLVD, Mail Stop 4013, Kansas City, KS, 66160, USA.

BMC Pediatrics
|March 29, 2017
PubMed

Insights

Newborn fat mass estimation equations show poor accuracy and agreement with measured values at birth and 3 months. Validation is needed for reliable body composition assessment in infants.

Area of Science:

  • Pediatrics
  • Human Physiology
  • Body Composition Analysis

Background:

  • Existing newborn fat mass estimation equations lack sufficient validation for use at birth and during infancy.
  • Current pediatric body composition assessment often uses equations developed for different age groups.

Purpose of the Study:

  • To validate four common newborn fat mass estimation equations.
  • Compare estimated fat mass against air displacement plethysmography (ADP) measurements at birth and 3 months.

Main Methods:

  • Ninety-five newborns underwent body composition analysis using ADP (Pea Pod) and skinfold measurements.
  • Sixty-three infants had repeat measurements at 3 months.
  • Statistical analyses included paired t-tests, linear regression, R-squared, standard error of the estimate (SEE), and Bland-Altman plots.

Main Results:

  • At birth, three of the four equations (Deierlein, Lingwood, Aris) showed significant differences compared to ADP measurements.
  • At 3 months, all tested equations significantly differed from ADP measurements.
  • Poor precision, accuracy, and bias were observed across most equations at both time points.

Conclusions:

  • Newborn fat mass prediction equations demonstrate inadequate agreement, precision, and accuracy when compared to criterion measures.
  • Clinical application of these equations for body composition assessment in newborns and infants requires caution due to poor validation.
Abstract

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