Mathematical model for body fat percentage of children with cerebral palsy

Detalhes bibliográficos
Autor(a) principal: Neves,Eduardo Borba
Data de Publicação: 2016
Outros Autores: Beraldo,Lucas Menghin, Pol,Stéphani de, Costin,Ana Cláudia Martins Szczypior, Chiarello,Claudiana Renata, Ulbricht,Leandra
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Research on Biomedical Engineering (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2446-47402016000400358
Resumo: Abstract Introduction The aim of this study was to develop a specific mathematical model to estimate the body fat percentage (BF%) of children with cerebral palsy, based on a Brazilian population of patients with this condition. Method This is a descriptive cross-sectional study. The study included 63 Caucasian children with cerebral palsy, both males and females, aged between three and ten-years-old. Participants were assessed for functional motor impairment using the Gross Motor Function Classification System (GMFCS), dual energy x-ray absorptiometry (DXA) and skinfold thickness. Total body mass (TBM) and skinfolds thickness from: triceps (Tr), biceps (Bi), Suprailiac (Si), medium thigh (Th), abdominal (Ab), medial calf (Ca) and subscapular (Se) were collected. Fat mass (FM) was estimated by dual energy x-ray absorptiometry (gold standard). Results The model was built from multivariate linear regression; FM was set as a dependent variable and other anthropometric variables, age and sex, were set as independent variables. The final model was established as F%=((0.433xTBM + 0.063xTh + 0.167xSi - 6.768) ÷ TBM) × 100, the R2 value was 0.950, R2adjusted=0.948 and the standard error of estimate was 1.039 kg. Conclusion This method was shown to be valid to estimate body fat percentage of children with cerebral palsy. Also, the measurement of skinfolds on both sides of the body showed good results in this modelling.
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spelling Mathematical model for body fat percentage of children with cerebral palsyBody compositionFat massChildrenCerebral palsyFat percentageAbstract Introduction The aim of this study was to develop a specific mathematical model to estimate the body fat percentage (BF%) of children with cerebral palsy, based on a Brazilian population of patients with this condition. Method This is a descriptive cross-sectional study. The study included 63 Caucasian children with cerebral palsy, both males and females, aged between three and ten-years-old. Participants were assessed for functional motor impairment using the Gross Motor Function Classification System (GMFCS), dual energy x-ray absorptiometry (DXA) and skinfold thickness. Total body mass (TBM) and skinfolds thickness from: triceps (Tr), biceps (Bi), Suprailiac (Si), medium thigh (Th), abdominal (Ab), medial calf (Ca) and subscapular (Se) were collected. Fat mass (FM) was estimated by dual energy x-ray absorptiometry (gold standard). Results The model was built from multivariate linear regression; FM was set as a dependent variable and other anthropometric variables, age and sex, were set as independent variables. The final model was established as F%=((0.433xTBM + 0.063xTh + 0.167xSi - 6.768) ÷ TBM) × 100, the R2 value was 0.950, R2adjusted=0.948 and the standard error of estimate was 1.039 kg. Conclusion This method was shown to be valid to estimate body fat percentage of children with cerebral palsy. Also, the measurement of skinfolds on both sides of the body showed good results in this modelling.Sociedade Brasileira de Engenharia Biomédica2016-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2446-47402016000400358Research on Biomedical Engineering v.32 n.4 2016reponame:Research on Biomedical Engineering (Online)instname:Sociedade Brasileira de Engenharia Biomédica (SBEB)instacron:SBEB10.1590/2446-4740.00216info:eu-repo/semantics/openAccessNeves,Eduardo BorbaBeraldo,Lucas MenghinPol,Stéphani deCostin,Ana Cláudia Martins SzczypiorChiarello,Claudiana RenataUlbricht,Leandraeng2017-02-10T00:00:00Zoai:scielo:S2446-47402016000400358Revistahttp://www.rbejournal.org/https://old.scielo.br/oai/scielo-oai.php||rbe@rbejournal.org2446-47402446-4732opendoar:2017-02-10T00:00Research on Biomedical Engineering (Online) - Sociedade Brasileira de Engenharia Biomédica (SBEB)false
dc.title.none.fl_str_mv Mathematical model for body fat percentage of children with cerebral palsy
title Mathematical model for body fat percentage of children with cerebral palsy
spellingShingle Mathematical model for body fat percentage of children with cerebral palsy
Neves,Eduardo Borba
Body composition
Fat mass
Children
Cerebral palsy
Fat percentage
title_short Mathematical model for body fat percentage of children with cerebral palsy
title_full Mathematical model for body fat percentage of children with cerebral palsy
title_fullStr Mathematical model for body fat percentage of children with cerebral palsy
title_full_unstemmed Mathematical model for body fat percentage of children with cerebral palsy
title_sort Mathematical model for body fat percentage of children with cerebral palsy
author Neves,Eduardo Borba
author_facet Neves,Eduardo Borba
Beraldo,Lucas Menghin
Pol,Stéphani de
Costin,Ana Cláudia Martins Szczypior
Chiarello,Claudiana Renata
Ulbricht,Leandra
author_role author
author2 Beraldo,Lucas Menghin
Pol,Stéphani de
Costin,Ana Cláudia Martins Szczypior
Chiarello,Claudiana Renata
Ulbricht,Leandra
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Neves,Eduardo Borba
Beraldo,Lucas Menghin
Pol,Stéphani de
Costin,Ana Cláudia Martins Szczypior
Chiarello,Claudiana Renata
Ulbricht,Leandra
dc.subject.por.fl_str_mv Body composition
Fat mass
Children
Cerebral palsy
Fat percentage
topic Body composition
Fat mass
Children
Cerebral palsy
Fat percentage
description Abstract Introduction The aim of this study was to develop a specific mathematical model to estimate the body fat percentage (BF%) of children with cerebral palsy, based on a Brazilian population of patients with this condition. Method This is a descriptive cross-sectional study. The study included 63 Caucasian children with cerebral palsy, both males and females, aged between three and ten-years-old. Participants were assessed for functional motor impairment using the Gross Motor Function Classification System (GMFCS), dual energy x-ray absorptiometry (DXA) and skinfold thickness. Total body mass (TBM) and skinfolds thickness from: triceps (Tr), biceps (Bi), Suprailiac (Si), medium thigh (Th), abdominal (Ab), medial calf (Ca) and subscapular (Se) were collected. Fat mass (FM) was estimated by dual energy x-ray absorptiometry (gold standard). Results The model was built from multivariate linear regression; FM was set as a dependent variable and other anthropometric variables, age and sex, were set as independent variables. The final model was established as F%=((0.433xTBM + 0.063xTh + 0.167xSi - 6.768) ÷ TBM) × 100, the R2 value was 0.950, R2adjusted=0.948 and the standard error of estimate was 1.039 kg. Conclusion This method was shown to be valid to estimate body fat percentage of children with cerebral palsy. Also, the measurement of skinfolds on both sides of the body showed good results in this modelling.
publishDate 2016
dc.date.none.fl_str_mv 2016-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2446-47402016000400358
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2446-47402016000400358
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/2446-4740.00216
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Engenharia Biomédica
publisher.none.fl_str_mv Sociedade Brasileira de Engenharia Biomédica
dc.source.none.fl_str_mv Research on Biomedical Engineering v.32 n.4 2016
reponame:Research on Biomedical Engineering (Online)
instname:Sociedade Brasileira de Engenharia Biomédica (SBEB)
instacron:SBEB
instname_str Sociedade Brasileira de Engenharia Biomédica (SBEB)
instacron_str SBEB
institution SBEB
reponame_str Research on Biomedical Engineering (Online)
collection Research on Biomedical Engineering (Online)
repository.name.fl_str_mv Research on Biomedical Engineering (Online) - Sociedade Brasileira de Engenharia Biomédica (SBEB)
repository.mail.fl_str_mv ||rbe@rbejournal.org
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