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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Wiley
2013-01-01
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Series: | Journal of Obesity |
Online Access: | http://dx.doi.org/10.1155/2013/428135 |
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author | Dalmo Machado Sérgio Oikawa Valdir Barbanti |
author_facet | Dalmo Machado Sérgio Oikawa Valdir Barbanti |
author_sort | Dalmo Machado |
collection | DOAJ |
description | 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 , 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 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. |
format | Article |
id | doaj-art-2b24aa2e37be4091ab99039043886a29 |
institution | Kabale University |
issn | 2090-0708 2090-0716 |
language | English |
publishDate | 2013-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Obesity |
spelling | doaj-art-2b24aa2e37be4091ab99039043886a292025-02-03T01:30:26ZengWileyJournal of Obesity2090-07082090-07162013-01-01201310.1155/2013/428135428135The Multicomponent Anthropometric Model for Assessing Body Composition in a Male Pediatric Population: A Simultaneous Prediction of Fat Mass, Bone Mineral Content, and Lean Soft TissueDalmo Machado0Sérgio Oikawa1Valdir Barbanti2School of Physical Education and Sport of Ribeirao Preto, University of Sao Paulo, Ribeirão Preto, BrazilDepartment of Statistic, Faculty of Science and Technology, Paulista State University, Presidente Prudente, BrazilSchool of Physical Education and Sport of Ribeirao Preto, University of Sao Paulo, Ribeirão Preto, BrazilThe 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 , 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 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.http://dx.doi.org/10.1155/2013/428135 |
spellingShingle | Dalmo Machado Sérgio Oikawa Valdir Barbanti 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 Journal of Obesity |
title | 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 |
title_full | 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 |
title_fullStr | 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 |
title_full_unstemmed | 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 |
title_short | 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 |
title_sort | 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 |
url | http://dx.doi.org/10.1155/2013/428135 |
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