Anthropometric parameters as predictors of muscle mass in elderly women

Detalhes bibliográficos
Autor(a) principal: Santana,Fábio da Silva
Data de Publicação: 2015
Outros Autores: Farah,Breno Quintela, Soares,Antonio Henrique Germano, Correia,Marilia de Almeida, Prazeres,Thaliane Mayara Pessôa dos, Filho,Ademar Lucena, Ritti-Dias,Raphael Mendes
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://scielo.pt/scielo.php?script=sci_arttext&pid=S1646-107X2015000200011
Resumo: The aims of study were to analyze the relationship between muscle mass and anthropometric parameters in elderly women and to develop a mathematical model to predict muscle mass based on anthropometric parameters. The study included 63 elderly women (71.4 ± 4.4 years). Body weight, height, arm, waist, hip and calf circumferences were measured. Muscle mass was estimated using a densitometry. The muscle mass index was calculated using the equation (muscle mass index = muscle mass [kg] / height [m]²). A significant correlation was found between muscle mass and body weight (r = 0.782), arm (r=0.688), waist (r=0.467), hip (r=0.629) and calf circumferences (r=0.592) with p<0.05 for all. Regression analysis indicated that body mass and calf circumference were independent predictors of muscle mass (r=0.81, r²=0.65, F=55.7). The prediction model obtained was muscle mass (kg) =-0.543+(0.162 × body mass)+(0.151 × calf circumference). No differences were observed between the amount of muscle mass and muscle mass index estimated by densitometry and by equation (p&gt;0.05). The results of this study indicated that body mass, body mass index, arm, waist, hip and calf circumferences are related to muscle mass elderly women. The muscle mass can be adequately predicted based on data from body mass and calf circumference.
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spelling Anthropometric parameters as predictors of muscle mass in elderly womenagingelderlybody compositionskeletal muscleThe aims of study were to analyze the relationship between muscle mass and anthropometric parameters in elderly women and to develop a mathematical model to predict muscle mass based on anthropometric parameters. The study included 63 elderly women (71.4 ± 4.4 years). Body weight, height, arm, waist, hip and calf circumferences were measured. Muscle mass was estimated using a densitometry. The muscle mass index was calculated using the equation (muscle mass index = muscle mass [kg] / height [m]²). A significant correlation was found between muscle mass and body weight (r = 0.782), arm (r=0.688), waist (r=0.467), hip (r=0.629) and calf circumferences (r=0.592) with p<0.05 for all. Regression analysis indicated that body mass and calf circumference were independent predictors of muscle mass (r=0.81, r²=0.65, F=55.7). The prediction model obtained was muscle mass (kg) =-0.543+(0.162 × body mass)+(0.151 × calf circumference). No differences were observed between the amount of muscle mass and muscle mass index estimated by densitometry and by equation (p&gt;0.05). The results of this study indicated that body mass, body mass index, arm, waist, hip and calf circumferences are related to muscle mass elderly women. The muscle mass can be adequately predicted based on data from body mass and calf circumference.Edições Desafio Singular2015-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S1646-107X2015000200011Motricidade v.11 n.2 2015reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttp://scielo.pt/scielo.php?script=sci_arttext&pid=S1646-107X2015000200011Santana,Fábio da SilvaFarah,Breno QuintelaSoares,Antonio Henrique GermanoCorreia,Marilia de AlmeidaPrazeres,Thaliane Mayara Pessôa dosFilho,Ademar LucenaRitti-Dias,Raphael Mendesinfo:eu-repo/semantics/openAccess2024-02-06T17:19:59Zoai:scielo:S1646-107X2015000200011Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:27:33.105087Repositório 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 parameters as predictors of muscle mass in elderly women
title Anthropometric parameters as predictors of muscle mass in elderly women
spellingShingle Anthropometric parameters as predictors of muscle mass in elderly women
Santana,Fábio da Silva
aging
elderly
body composition
skeletal muscle
title_short Anthropometric parameters as predictors of muscle mass in elderly women
title_full Anthropometric parameters as predictors of muscle mass in elderly women
title_fullStr Anthropometric parameters as predictors of muscle mass in elderly women
title_full_unstemmed Anthropometric parameters as predictors of muscle mass in elderly women
title_sort Anthropometric parameters as predictors of muscle mass in elderly women
author Santana,Fábio da Silva
author_facet Santana,Fábio da Silva
Farah,Breno Quintela
Soares,Antonio Henrique Germano
Correia,Marilia de Almeida
Prazeres,Thaliane Mayara Pessôa dos
Filho,Ademar Lucena
Ritti-Dias,Raphael Mendes
author_role author
author2 Farah,Breno Quintela
Soares,Antonio Henrique Germano
Correia,Marilia de Almeida
Prazeres,Thaliane Mayara Pessôa dos
Filho,Ademar Lucena
Ritti-Dias,Raphael Mendes
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Santana,Fábio da Silva
Farah,Breno Quintela
Soares,Antonio Henrique Germano
Correia,Marilia de Almeida
Prazeres,Thaliane Mayara Pessôa dos
Filho,Ademar Lucena
Ritti-Dias,Raphael Mendes
dc.subject.por.fl_str_mv aging
elderly
body composition
skeletal muscle
topic aging
elderly
body composition
skeletal muscle
description The aims of study were to analyze the relationship between muscle mass and anthropometric parameters in elderly women and to develop a mathematical model to predict muscle mass based on anthropometric parameters. The study included 63 elderly women (71.4 ± 4.4 years). Body weight, height, arm, waist, hip and calf circumferences were measured. Muscle mass was estimated using a densitometry. The muscle mass index was calculated using the equation (muscle mass index = muscle mass [kg] / height [m]²). A significant correlation was found between muscle mass and body weight (r = 0.782), arm (r=0.688), waist (r=0.467), hip (r=0.629) and calf circumferences (r=0.592) with p<0.05 for all. Regression analysis indicated that body mass and calf circumference were independent predictors of muscle mass (r=0.81, r²=0.65, F=55.7). The prediction model obtained was muscle mass (kg) =-0.543+(0.162 × body mass)+(0.151 × calf circumference). No differences were observed between the amount of muscle mass and muscle mass index estimated by densitometry and by equation (p&gt;0.05). The results of this study indicated that body mass, body mass index, arm, waist, hip and calf circumferences are related to muscle mass elderly women. The muscle mass can be adequately predicted based on data from body mass and calf circumference.
publishDate 2015
dc.date.none.fl_str_mv 2015-06-01
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://scielo.pt/scielo.php?script=sci_arttext&pid=S1646-107X2015000200011
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dc.language.iso.fl_str_mv eng
language eng
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dc.publisher.none.fl_str_mv Edições Desafio Singular
publisher.none.fl_str_mv Edições Desafio Singular
dc.source.none.fl_str_mv Motricidade v.11 n.2 2015
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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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
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