Anthropometric predictors of body fat in a large population of 9-year-old school-aged children

Detalhes bibliográficos
Autor(a) principal: Almeida, Sílvia M.
Data de Publicação: 2016
Outros Autores: Furtado, José M., Mascarenhas, Paulo, Ferraz, Maria E., Silva, Luís R., Ferreira, José C., Monteiro, Mariana, Vilanova, Manuel, Ferraz, Fernando P.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.26/17931
Resumo: "Objective: To develop and cross-validate predictive models for percentage body fat (%BF) from anthropometric measurements [including BMI z-score (zBMI) and calf circumference (CC)] excluding skinfold thickness.
id RCAP_b9b987c1b0144c4bae6836e0511622b7
oai_identifier_str oai:comum.rcaap.pt:10400.26/17931
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Anthropometric predictors of body fat in a large population of 9-year-old school-aged childrenAnthropometryBody fat grade modelsPrediction equationsChildren"Objective: To develop and cross-validate predictive models for percentage body fat (%BF) from anthropometric measurements [including BMI z-score (zBMI) and calf circumference (CC)] excluding skinfold thickness.Methods: A descriptive study was carried out in 3,084 pre-pubertal children. Regression models and neural network were developed with %BF measured by Bioelectrical Impedance Analysis (BIA) as the dependent variables and age, sex and anthropometric measurements as independent predictors.Results: All %BF grade predictive models presented a good global accuracy (≥91.3%) for obesity discrimination. Both overfat/obese and obese prediction models presented respectively good sensitivity (78.6% and 71.0%), specificity (98.0% and 99.2%) and reliability for positive or negative test results (≥82% and ≥96%). For boys, the order of parameters, by relative weight in the predictive model, was zBMI, height, waist-circumference-toheight- ratio (WHtR) squared variable (_Q), age, weight, CC_Q and hip circumference (HC)_Q (adjusted r2 = 0.847 and RMSE = 2.852); for girls it was zBMI, WHtR_Q, height, age, HC_Q and CC_Q (adjusted r2 = 0.872 and RMSE = 2.171).Conclusion: %BF can be graded and predicted with relative accuracy from anthropometric measurements excluding skinfold thickness. Fitness and cross-validation results showed that our multivariable regression model performed better in this population than did some previously published models."WileyRepositório ComumAlmeida, Sílvia M.Furtado, José M.Mascarenhas, PauloFerraz, Maria E.Silva, Luís R.Ferreira, José C.Monteiro, MarianaVilanova, ManuelFerraz, Fernando P.2017-02-13T12:13:51Z2016-09-01T00:00:00Z2016-09-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.26/17931engAlmeida, S. M., Furtado, J. M., Mascarenhas, P., Ferraz, M. E., Silva, L. R., Ferreira, J. C., Monteiro, M., Vilanova, M., and Ferraz, F. P. (2016) Anthropometric predictors of body fat in a large population of 9-year-old school-aged children. Obesity Science & Practice, 2: 272–281. doi: 10.1002/osp4.51.1932-620310.1002/osp4.51info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-10-06T14:52:47Zoai:comum.rcaap.pt:10400.26/17931Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:08:46.963898Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Anthropometric predictors of body fat in a large population of 9-year-old school-aged children
title Anthropometric predictors of body fat in a large population of 9-year-old school-aged children
spellingShingle Anthropometric predictors of body fat in a large population of 9-year-old school-aged children
Almeida, Sílvia M.
Anthropometry
Body fat grade models
Prediction equations
Children
title_short Anthropometric predictors of body fat in a large population of 9-year-old school-aged children
title_full Anthropometric predictors of body fat in a large population of 9-year-old school-aged children
title_fullStr Anthropometric predictors of body fat in a large population of 9-year-old school-aged children
title_full_unstemmed Anthropometric predictors of body fat in a large population of 9-year-old school-aged children
title_sort Anthropometric predictors of body fat in a large population of 9-year-old school-aged children
author Almeida, Sílvia M.
author_facet Almeida, Sílvia M.
Furtado, José M.
Mascarenhas, Paulo
Ferraz, Maria E.
Silva, Luís R.
Ferreira, José C.
Monteiro, Mariana
Vilanova, Manuel
Ferraz, Fernando P.
author_role author
author2 Furtado, José M.
Mascarenhas, Paulo
Ferraz, Maria E.
Silva, Luís R.
Ferreira, José C.
Monteiro, Mariana
Vilanova, Manuel
Ferraz, Fernando P.
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório Comum
dc.contributor.author.fl_str_mv Almeida, Sílvia M.
Furtado, José M.
Mascarenhas, Paulo
Ferraz, Maria E.
Silva, Luís R.
Ferreira, José C.
Monteiro, Mariana
Vilanova, Manuel
Ferraz, Fernando P.
dc.subject.por.fl_str_mv Anthropometry
Body fat grade models
Prediction equations
Children
topic Anthropometry
Body fat grade models
Prediction equations
Children
description "Objective: To develop and cross-validate predictive models for percentage body fat (%BF) from anthropometric measurements [including BMI z-score (zBMI) and calf circumference (CC)] excluding skinfold thickness.
publishDate 2016
dc.date.none.fl_str_mv 2016-09-01T00:00:00Z
2016-09-01T00:00:00Z
2017-02-13T12:13:51Z
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://hdl.handle.net/10400.26/17931
url http://hdl.handle.net/10400.26/17931
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Almeida, S. M., Furtado, J. M., Mascarenhas, P., Ferraz, M. E., Silva, L. R., Ferreira, J. C., Monteiro, M., Vilanova, M., and Ferraz, F. P. (2016) Anthropometric predictors of body fat in a large population of 9-year-old school-aged children. Obesity Science & Practice, 2: 272–281. doi: 10.1002/osp4.51.
1932-6203
10.1002/osp4.51
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799129955652599808