Validity and accuracy of body fat prediction equations using anthropometric measurements in children 7 – 10 years old
Autor(a) principal: | |
---|---|
Data de Publicação: | 2023 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Brasileira de Cineantropometria & Desempenho Humano (Online) |
Texto Completo: | https://periodicos.ufsc.br/index.php/rbcdh/article/view/86719 |
Resumo: | Children with a deficit of growth because of perinatal malnutrition present specificities in the percentage of body fat (%BF) that could not be detected by previous fat mass-based equations. This study developed and validated predictive equations of the %BF derived from anthropometric variables in children aged 7 to 10 living in Northeast Brazil, using dual-energy x-ray absorptiometry (DXA) as a reference. Body composition data from 58 children were utilized. DXA was used as a reference. A stepwise (forward) multiple regression statistical model was used to develop the new equations. The Bland-Altman analysis (CI: 95%), paired Student's t-test, and the intraclass correlation coefficient (ICC) was used to validate and compare the developed equations. Two new equations were developed for either gender: boys: %BF: 13.642 + (1.527*BMI) + (-0.345*Height) + (0.875*Triceps) + (0.290* Waist Circumference) and girls: %BF: -13.445 + (2.061*Tight). The Bland-Altman analysis showed good agreement, with limits ranging from -1.33 to 1.24% for boys and -3.35 to 4.08% for girls. The paired Student’s t-test showed no difference between %BF-DXA and the two new equations (p> 0.05), and the ICC was 0.948 and 0.915, respectively. DXA-based anthropometric equations provide an accurate and noninvasive method to measure changes in the %BF in children. |
id |
UFSC-16_2a8671977e4814eef2f1b607a6ef5641 |
---|---|
oai_identifier_str |
oai:periodicos.ufsc.br:article/86719 |
network_acronym_str |
UFSC-16 |
network_name_str |
Revista Brasileira de Cineantropometria & Desempenho Humano (Online) |
repository_id_str |
|
spelling |
Validity and accuracy of body fat prediction equations using anthropometric measurements in children 7 – 10 years oldValidade e acurácia de equações de predição de gordura corporal usando medidas antropométricas em crianças de 7 a 10 anosAnthropometryBody compositionChildAntropometriaComposição corporalCriançaChildren with a deficit of growth because of perinatal malnutrition present specificities in the percentage of body fat (%BF) that could not be detected by previous fat mass-based equations. This study developed and validated predictive equations of the %BF derived from anthropometric variables in children aged 7 to 10 living in Northeast Brazil, using dual-energy x-ray absorptiometry (DXA) as a reference. Body composition data from 58 children were utilized. DXA was used as a reference. A stepwise (forward) multiple regression statistical model was used to develop the new equations. The Bland-Altman analysis (CI: 95%), paired Student's t-test, and the intraclass correlation coefficient (ICC) was used to validate and compare the developed equations. Two new equations were developed for either gender: boys: %BF: 13.642 + (1.527*BMI) + (-0.345*Height) + (0.875*Triceps) + (0.290* Waist Circumference) and girls: %BF: -13.445 + (2.061*Tight). The Bland-Altman analysis showed good agreement, with limits ranging from -1.33 to 1.24% for boys and -3.35 to 4.08% for girls. The paired Student’s t-test showed no difference between %BF-DXA and the two new equations (p> 0.05), and the ICC was 0.948 and 0.915, respectively. DXA-based anthropometric equations provide an accurate and noninvasive method to measure changes in the %BF in children.Crianças com déficit de crescimento por desnutrição perinatal apresentam especificidades na distribuição do percentual de gordura corporal (%GC) que não puderam ser detectadas por equações anteriores baseadas no %GC. Este estudo desenvolveu e validou equações preditivas do %GC derivadas de variáveis ??antropométricas em crianças de 7 a 10 anos residentes no Nordeste do Brasil, utilizando como referência a absorciometria radiológica de dupla energia (DXA). Foram utilizados dados de composição corporal de 58 crianças. O DXA foi usado como modelo de referência. Um modelo estatístico de regressão múltipla stepwise (forward) foi usado para desenvolver as equações. A análise de Bland-Altman (IC: 95%), teste t de Student pareado e o coeficiente de correlação intraclasse (CCI) foram utilizados para validar e comparar as equações. Duas novas equações foram desenvolvidas para ambos os sexos: meninos: %GC: 13,642 + (1,527*IMC) + (-0,345*Altura) + (0,875*Tríceps) + (0,290* Circunferência da cintura) e meninas: %GC: - 13,445 + (2,061*coxa). A análise de Bland-Altman mostrou boa concordância, com limites variando de -1,33 a 1,24% para meninos e -3,35 a 4,08% para meninas. O teste t de Student pareado não mostrou diferença entre %GC-DXA e as duas novas equações (p>0,05), e o CCI foi de 0,948 e 0,915, respectivamente.Universidade Federal de Santa Catarina. Florianópolis, SC. Brasil2023-02-23info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion"Avaliado por Pares",Avaliado por Paresapplication/pdfhttps://periodicos.ufsc.br/index.php/rbcdh/article/view/8671910.1590/1980-0037.2022v24e86719Brazilian Journal of Kinanthropometry and Human Performance; Vol. 24 No. 1 (2022): Brazilian Journal of Kinanthropometry and Human Performance; e86719Revista Brasileira de Cineantropometria e Desempenho Humano; v. 24 n. 1 (2022): Revista Brasileira de Cineantropometria e Desempenho Humano ; e867191980-00371415-8426reponame:Revista Brasileira de Cineantropometria & Desempenho Humano (Online)instname:Universidade Federal de Santa Catarina (UFSC)instacron:UFSCenghttps://periodicos.ufsc.br/index.php/rbcdh/article/view/86719/52637Copyright (c) 2023 Revista Brasileira de Cineantropometria e Desempenho Humanoinfo:eu-repo/semantics/openAccessSantos, Ravi Marinho dos Nobre, Isabele Góes Santos, Gabriela Carvalho Jurema Oliveira, Tafnes Laís Pereira Santos de Almeida Ribeiro, Isabella da Costa Santos, Marcos André Moura dos Pirola, LucianoLeandro, Carol Góis 2023-02-24T01:03:51Zoai:periodicos.ufsc.br:article/86719Revistahttps://periodicos.ufsc.br/index.php/rbcdh/PUBhttps://periodicos.ufsc.br/index.php/rbcdh/oairbcdh@contato.ufsc.br || portaldeperiodicos.bu@contato.ufsc.br1980-00371415-8426opendoar:2023-02-24T01:03:51Revista Brasileira de Cineantropometria & Desempenho Humano (Online) - Universidade Federal de Santa Catarina (UFSC)false |
dc.title.none.fl_str_mv |
Validity and accuracy of body fat prediction equations using anthropometric measurements in children 7 – 10 years old Validade e acurácia de equações de predição de gordura corporal usando medidas antropométricas em crianças de 7 a 10 anos |
title |
Validity and accuracy of body fat prediction equations using anthropometric measurements in children 7 – 10 years old |
spellingShingle |
Validity and accuracy of body fat prediction equations using anthropometric measurements in children 7 – 10 years old Santos, Ravi Marinho dos Anthropometry Body composition Child Antropometria Composição corporal Criança |
title_short |
Validity and accuracy of body fat prediction equations using anthropometric measurements in children 7 – 10 years old |
title_full |
Validity and accuracy of body fat prediction equations using anthropometric measurements in children 7 – 10 years old |
title_fullStr |
Validity and accuracy of body fat prediction equations using anthropometric measurements in children 7 – 10 years old |
title_full_unstemmed |
Validity and accuracy of body fat prediction equations using anthropometric measurements in children 7 – 10 years old |
title_sort |
Validity and accuracy of body fat prediction equations using anthropometric measurements in children 7 – 10 years old |
author |
Santos, Ravi Marinho dos |
author_facet |
Santos, Ravi Marinho dos Nobre, Isabele Góes Santos, Gabriela Carvalho Jurema Oliveira, Tafnes Laís Pereira Santos de Almeida Ribeiro, Isabella da Costa Santos, Marcos André Moura dos Pirola, Luciano Leandro, Carol Góis |
author_role |
author |
author2 |
Nobre, Isabele Góes Santos, Gabriela Carvalho Jurema Oliveira, Tafnes Laís Pereira Santos de Almeida Ribeiro, Isabella da Costa Santos, Marcos André Moura dos Pirola, Luciano Leandro, Carol Góis |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Santos, Ravi Marinho dos Nobre, Isabele Góes Santos, Gabriela Carvalho Jurema Oliveira, Tafnes Laís Pereira Santos de Almeida Ribeiro, Isabella da Costa Santos, Marcos André Moura dos Pirola, Luciano Leandro, Carol Góis |
dc.subject.por.fl_str_mv |
Anthropometry Body composition Child Antropometria Composição corporal Criança |
topic |
Anthropometry Body composition Child Antropometria Composição corporal Criança |
description |
Children with a deficit of growth because of perinatal malnutrition present specificities in the percentage of body fat (%BF) that could not be detected by previous fat mass-based equations. This study developed and validated predictive equations of the %BF derived from anthropometric variables in children aged 7 to 10 living in Northeast Brazil, using dual-energy x-ray absorptiometry (DXA) as a reference. Body composition data from 58 children were utilized. DXA was used as a reference. A stepwise (forward) multiple regression statistical model was used to develop the new equations. The Bland-Altman analysis (CI: 95%), paired Student's t-test, and the intraclass correlation coefficient (ICC) was used to validate and compare the developed equations. Two new equations were developed for either gender: boys: %BF: 13.642 + (1.527*BMI) + (-0.345*Height) + (0.875*Triceps) + (0.290* Waist Circumference) and girls: %BF: -13.445 + (2.061*Tight). The Bland-Altman analysis showed good agreement, with limits ranging from -1.33 to 1.24% for boys and -3.35 to 4.08% for girls. The paired Student’s t-test showed no difference between %BF-DXA and the two new equations (p> 0.05), and the ICC was 0.948 and 0.915, respectively. DXA-based anthropometric equations provide an accurate and noninvasive method to measure changes in the %BF in children. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-02-23 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion "Avaliado por Pares", Avaliado por Pares |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.ufsc.br/index.php/rbcdh/article/view/86719 10.1590/1980-0037.2022v24e86719 |
url |
https://periodicos.ufsc.br/index.php/rbcdh/article/view/86719 |
identifier_str_mv |
10.1590/1980-0037.2022v24e86719 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://periodicos.ufsc.br/index.php/rbcdh/article/view/86719/52637 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2023 Revista Brasileira de Cineantropometria e Desempenho Humano info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2023 Revista Brasileira de Cineantropometria e Desempenho Humano |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Santa Catarina. Florianópolis, SC. Brasil |
publisher.none.fl_str_mv |
Universidade Federal de Santa Catarina. Florianópolis, SC. Brasil |
dc.source.none.fl_str_mv |
Brazilian Journal of Kinanthropometry and Human Performance; Vol. 24 No. 1 (2022): Brazilian Journal of Kinanthropometry and Human Performance; e86719 Revista Brasileira de Cineantropometria e Desempenho Humano; v. 24 n. 1 (2022): Revista Brasileira de Cineantropometria e Desempenho Humano ; e86719 1980-0037 1415-8426 reponame:Revista Brasileira de Cineantropometria & Desempenho Humano (Online) instname:Universidade Federal de Santa Catarina (UFSC) instacron:UFSC |
instname_str |
Universidade Federal de Santa Catarina (UFSC) |
instacron_str |
UFSC |
institution |
UFSC |
reponame_str |
Revista Brasileira de Cineantropometria & Desempenho Humano (Online) |
collection |
Revista Brasileira de Cineantropometria & Desempenho Humano (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Cineantropometria & Desempenho Humano (Online) - Universidade Federal de Santa Catarina (UFSC) |
repository.mail.fl_str_mv |
rbcdh@contato.ufsc.br || portaldeperiodicos.bu@contato.ufsc.br |
_version_ |
1799875096610865152 |