Anthropometric parameters as predictors of muscle mass in elderly women
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , , , |
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>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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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>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>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 |
url |
http://scielo.pt/scielo.php?script=sci_arttext&pid=S1646-107X2015000200011 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://scielo.pt/scielo.php?script=sci_arttext&pid=S1646-107X2015000200011 |
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 |
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 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 |
|
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1799137347746398208 |