The Multicomponent Anthropometric Model for Assessing Body Composition in a Male Pediatric Population: A Simultaneous Prediction of Fat Mass, Bone Mineral Content, and Lean Soft Tissue

The aim of this study was to propose and cross-validate an anthropometric model for the simultaneous estimation of fat mass (FM), bone mineral content (BMC), and lean soft tissue (LST) using DXA as the reference method. A total of 408 boys (8–18 years) were included in this sample. Whole-body FM, BM...

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Bibliographic Details
Published in:Journal of Obesity 2013-01, Vol.2013 (2013), p.440-447
Main Authors: Machado, Dalmo, Oikawa, Sérgio, Barbanti, Valdir
Format: Article
Language:English
Subjects:
Absorptiometry, Photon
Adipose Tissue
Adolescent
Anthropometry
Body Composition
Bone Density
Child
Cross-Sectional Studies
Health aspects
Humans
Male
Measurement
Models, Biological
Physiological aspects
Reproducibility of Results
Skinfold Thickness
Tissues
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Summary:The aim of this study was to propose and cross-validate an anthropometric model for the simultaneous estimation of fat mass (FM), bone mineral content (BMC), and lean soft tissue (LST) using DXA as the reference method. A total of 408 boys (8–18 years) were included in this sample. Whole-body FM, BMC, and LST were measured by DXA and considered as dependent variables. Independent variables included thirty-two anthropometrics measurements and maturity offset determined by the Mirwald equation. From a multivariate regression model (Ymn=x(r+1)(r+1)nβm+εnm), a matrix analysis was performed resulting in a multicomponent anthropometric model. The cross-validation was executed through the sum of squares of residuals (PRESS) method. Five anthropometric variables predicted simultaneously FM, BMC, and LST. Cross-validation parameters indicated that the new model is accurate with high RPRESS2 values ranging from 0.94 to 0.98 and standard error of estimate ranging from 0.01 to 0.09. The newly proposed model represents an alternative to accurately assess the body composition in male pediatric ages.
ISSN:2090-0708
2090-0716
DOI:10.1155/2013/428135