Prediction of fat-free body mass from bioelectrical impedance and anthropometry among 3-year-old children using DXA

Katrine Tschentscher Ejlerskov, Signe M. Jensen, Line B. Christensen, Christian Ritz, Kim F. Michaelsen, Christian Mølgaard

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

For 3-year-old children suitable methods to estimate body composition are sparse. We aimed to develop predictive equations for estimating fat-free mass (FFM) from bioelectrical impedance (BIA) and anthropometry using dual-energy X-ray absorptiometry (DXA) as reference method using data from 99 healthy 3-year-old Danish children. Predictive equations were derived from two multiple linear regression models, a comprehensive model (height 2 /resistance (RI), six anthropometric measurements) and a simple model (RI, height, weight). Their uncertainty was quantified by means of 10-fold cross-validation approach. Prediction error of FFM was 3.0% for both equations (root mean square error: 360 and 356â€...g, respectively). The derived equations produced BIA-based prediction of FFM and FM near DXA scan results. We suggest that the predictive equations can be applied in similar population samples aged 2-4 years. The derived equations may prove useful for studies linking body composition to early risk factors and early onset of obesity.
Original languageEnglish
Article number3889
JournalScientific Reports
Volume4
Number of pages6
ISSN2045-2322
DOIs
Publication statusPublished - 2014
Externally publishedYes

Keywords

  • Multidisciplinary
  • adipose tissue
  • anthropometry
  • article
  • body composition
  • female
  • human
  • impedance
  • male
  • methodology
  • photon absorptiometry
  • preschool child
  • validation study
  • Absorptiometry, Photon
  • Adipose Tissue
  • Anthropometry
  • Body Composition
  • Child, Preschool
  • Electric Impedance
  • Female
  • Humans
  • Male

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