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
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1155/2013/428135 http://hdl.handle.net/11449/227164 |
Resumo: | 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 (Y m n = x (r + 1) (r + 1) n β m + ε n m), 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 R PRESS 2 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. © 2013 Dalmo Machado et al. |
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Repositório Institucional da UNESP |
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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 tissueThe 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 (Y m n = x (r + 1) (r + 1) n β m + ε n m), 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 R PRESS 2 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. © 2013 Dalmo Machado et al.School of Physical Education and Sport of Ribeirao Preto University of Sao Paulo, Ribeirão PretoDepartment of Statistic Faculty of Science and Technology Paulista State University, Presidente PrudenteDepartment of Statistic Faculty of Science and Technology Paulista State University, Presidente PrudenteUniversidade de São Paulo (USP)Universidade Estadual Paulista (UNESP)Machado, DalmoOikawa, Sérgio [UNESP]Barbanti, Valdir2022-04-29T07:11:48Z2022-04-29T07:11:48Z2013-04-29info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1155/2013/428135Journal of Obesity, v. 2013.2090-07082090-0716http://hdl.handle.net/11449/22716410.1155/2013/4281352-s2.0-84876513098Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Obesityinfo:eu-repo/semantics/openAccess2024-06-18T18:17:49Zoai:repositorio.unesp.br:11449/227164Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T13:56:55.847869Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
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 |
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 |
spellingShingle |
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 Machado, Dalmo |
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_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_sort |
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 |
author |
Machado, Dalmo |
author_facet |
Machado, Dalmo Oikawa, Sérgio [UNESP] Barbanti, Valdir |
author_role |
author |
author2 |
Oikawa, Sérgio [UNESP] Barbanti, Valdir |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade de São Paulo (USP) Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Machado, Dalmo Oikawa, Sérgio [UNESP] Barbanti, Valdir |
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 (Y m n = x (r + 1) (r + 1) n β m + ε n m), 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 R PRESS 2 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. © 2013 Dalmo Machado et al. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-04-29 2022-04-29T07:11:48Z 2022-04-29T07:11:48Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1155/2013/428135 Journal of Obesity, v. 2013. 2090-0708 2090-0716 http://hdl.handle.net/11449/227164 10.1155/2013/428135 2-s2.0-84876513098 |
url |
http://dx.doi.org/10.1155/2013/428135 http://hdl.handle.net/11449/227164 |
identifier_str_mv |
Journal of Obesity, v. 2013. 2090-0708 2090-0716 10.1155/2013/428135 2-s2.0-84876513098 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal of Obesity |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128293539414016 |