Predictors of muscle strength in older individuals

Detalhes bibliográficos
Autor(a) principal: Vagner Raso
Data de Publicação: 2016
Outros Autores: Ricardo Cardoso Cassilhas, Marcos Gonçalves de Santana, Rita Aurélia Boscolo, Valter Antônio Rocha Viana, Viviane Grassmann, Sergio Tufik, Marco Tulio de Mello
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFMG
Texto Completo: https://doi.org/10.5935/MedicalExpress.2016.03.09
http://hdl.handle.net/1843/64049
https://orcid.org/0000-0001-6970-2551
https://orcid.org/0000-0001-7674-3263
https://orcid.org/0000-0003-3896-2208
Resumo: PURPOSE: To analyze possible relationships between load, body mass and lean body mass in an effort to provide norm-referenced standards for the one repetition maximum test and to predict whole body muscle strength (WBMS) in older individuals. METHODS: We measured body mass, lean body mass and the one repetition maximum (1RM) test in different exercises in 189 older men and women aged 61 to 82 years. Whole body muscle strength (WBMS) was calculated as the sum of loads of the different exercises. RESULTS: For women, the inclusion of body mass or lean body mass increased the R2 from 0.41 to 0.82, and yielded the following equation: WBMS = 75.788 + (2.288 × load in kg of latissimus pull down) + (0.799 × lean body mass in kg). For men, the inclusion of either body mass (WBMS = 290.33 – [3.140 × age in years] + [1.236 × body mass in kg] + [1.549 × load in kg of leg press]) or, in particular, lean body mass (WBMS = 343.25 – [3.298 × age in years] + [.415 × lean body mass in kg] + [1.737 × load in kg of leg press]) decreased the standard error of the estimate. CONCLUSION: Our data support the idea that load correlates with body mass and lean body mass and that the load used for a specific exercise is significantly associated with WBMS, thereby permitting the development of a predictive model of WBMS with increased accuracy.
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spelling 2024-02-16T16:40:06Z2024-02-16T16:40:06Z201633https://doi.org/10.5935/MedicalExpress.2016.03.092358-0429http://hdl.handle.net/1843/64049https://orcid.org/0000-0001-6970-2551https://orcid.org/0000-0001-7674-3263https://orcid.org/0000-0003-3896-2208PURPOSE: To analyze possible relationships between load, body mass and lean body mass in an effort to provide norm-referenced standards for the one repetition maximum test and to predict whole body muscle strength (WBMS) in older individuals. METHODS: We measured body mass, lean body mass and the one repetition maximum (1RM) test in different exercises in 189 older men and women aged 61 to 82 years. Whole body muscle strength (WBMS) was calculated as the sum of loads of the different exercises. RESULTS: For women, the inclusion of body mass or lean body mass increased the R2 from 0.41 to 0.82, and yielded the following equation: WBMS = 75.788 + (2.288 × load in kg of latissimus pull down) + (0.799 × lean body mass in kg). For men, the inclusion of either body mass (WBMS = 290.33 – [3.140 × age in years] + [1.236 × body mass in kg] + [1.549 × load in kg of leg press]) or, in particular, lean body mass (WBMS = 343.25 – [3.298 × age in years] + [.415 × lean body mass in kg] + [1.737 × load in kg of leg press]) decreased the standard error of the estimate. CONCLUSION: Our data support the idea that load correlates with body mass and lean body mass and that the load used for a specific exercise is significantly associated with WBMS, thereby permitting the development of a predictive model of WBMS with increased accuracy.OBJETIVO: Analisar as relações entre carga, massa corporal e massa magra na tentativa de fornecer normas padrão de referencia para o teste de uma repetição máxima e predizer a forca muscular corporal em idosos. MÉTODOS: A massa corporal, a massa magra e o teste de uma repetição máxima (1RM) foram medidos em 189 idosos com idade entre 61 e 82 anos. A forca muscular corporal (FMC) foi calculada como a somatória das cargas dos diferentes exercícios. RESULTADOS: Para mulheres, a inclusão da massa corporal ou da massa magra aumentou oR2 de 0.41 para 0.82, e resultou na equação: FMC = 75.788 + (2.288 × carga em kg para o puxador) + (0.799 × massa magra em kg). Para homens, a inclusão da massa corporal (FMC = 290.33 – [3.140 × idade em anos] + [1.236 × massa corporal em kg] + [1.549 × carga em kg para o leg press]) ou da massa magra (FMC = 343.25 – [3.298 × idade em anos] + [.415 × massa magra em kg] + [1.737 × carga em kg para o leg press]) diminuiu o erro padrão da estimativa. CONCLUSÃO: Nossos resultados suportam a ideia de que a carga correlaciona-se com a massa corporal e massa magra, e que a carga empregada em determinado exercício está significativamente associada com a forca muscular corporal. Portanto, isso permite o desenvolvimento de um modelo preditivo de forca muscular corporal com substancial acurácia.CNPq - Conselho Nacional de Desenvolvimento Científico e TecnológicoengUniversidade Federal de Minas GeraisUFMGBrasilEEF - DEPARTAMENTO DE ESPORTESMedicalExpressEnvelhecimentoForça muscularTreinamento de forçaAgingMuscle strengthResistance exercisePredictors of muscle strength in older individualsPreditores de força muscular em idososinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://www.scielo.br/j/medical/a/5DChcChmPcp4MDcc5HdhRxP/abstract/?lang=en#Vagner RasoRicardo Cardoso CassilhasMarcos Gonçalves de SantanaRita Aurélia BoscoloValter Antônio Rocha VianaViviane GrassmannSergio TufikMarco Tulio de Melloapplication/pdfinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGLICENSELicense.txtLicense.txttext/plain; charset=utf-82042https://repositorio.ufmg.br/bitstream/1843/64049/1/License.txtfa505098d172de0bc8864fc1287ffe22MD51ORIGINALPredictors of muscle strength in older individuals.pdfPredictors of muscle strength in older individuals.pdfapplication/pdf300306https://repositorio.ufmg.br/bitstream/1843/64049/2/Predictors%20of%20muscle%20strength%20in%20older%20individuals.pdfa86ad4b5333a3b3fd3eebea2bfdfc6aeMD521843/640492024-02-16 13:40:06.617oai:repositorio.ufmg.br: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Repositório de PublicaçõesPUBhttps://repositorio.ufmg.br/oaiopendoar:2024-02-16T16:40:06Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false
dc.title.pt_BR.fl_str_mv Predictors of muscle strength in older individuals
dc.title.alternative.pt_BR.fl_str_mv Preditores de força muscular em idosos
title Predictors of muscle strength in older individuals
spellingShingle Predictors of muscle strength in older individuals
Vagner Raso
Aging
Muscle strength
Resistance exercise
Envelhecimento
Força muscular
Treinamento de força
title_short Predictors of muscle strength in older individuals
title_full Predictors of muscle strength in older individuals
title_fullStr Predictors of muscle strength in older individuals
title_full_unstemmed Predictors of muscle strength in older individuals
title_sort Predictors of muscle strength in older individuals
author Vagner Raso
author_facet Vagner Raso
Ricardo Cardoso Cassilhas
Marcos Gonçalves de Santana
Rita Aurélia Boscolo
Valter Antônio Rocha Viana
Viviane Grassmann
Sergio Tufik
Marco Tulio de Mello
author_role author
author2 Ricardo Cardoso Cassilhas
Marcos Gonçalves de Santana
Rita Aurélia Boscolo
Valter Antônio Rocha Viana
Viviane Grassmann
Sergio Tufik
Marco Tulio de Mello
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Vagner Raso
Ricardo Cardoso Cassilhas
Marcos Gonçalves de Santana
Rita Aurélia Boscolo
Valter Antônio Rocha Viana
Viviane Grassmann
Sergio Tufik
Marco Tulio de Mello
dc.subject.por.fl_str_mv Aging
Muscle strength
Resistance exercise
topic Aging
Muscle strength
Resistance exercise
Envelhecimento
Força muscular
Treinamento de força
dc.subject.other.pt_BR.fl_str_mv Envelhecimento
Força muscular
Treinamento de força
description PURPOSE: To analyze possible relationships between load, body mass and lean body mass in an effort to provide norm-referenced standards for the one repetition maximum test and to predict whole body muscle strength (WBMS) in older individuals. METHODS: We measured body mass, lean body mass and the one repetition maximum (1RM) test in different exercises in 189 older men and women aged 61 to 82 years. Whole body muscle strength (WBMS) was calculated as the sum of loads of the different exercises. RESULTS: For women, the inclusion of body mass or lean body mass increased the R2 from 0.41 to 0.82, and yielded the following equation: WBMS = 75.788 + (2.288 × load in kg of latissimus pull down) + (0.799 × lean body mass in kg). For men, the inclusion of either body mass (WBMS = 290.33 – [3.140 × age in years] + [1.236 × body mass in kg] + [1.549 × load in kg of leg press]) or, in particular, lean body mass (WBMS = 343.25 – [3.298 × age in years] + [.415 × lean body mass in kg] + [1.737 × load in kg of leg press]) decreased the standard error of the estimate. CONCLUSION: Our data support the idea that load correlates with body mass and lean body mass and that the load used for a specific exercise is significantly associated with WBMS, thereby permitting the development of a predictive model of WBMS with increased accuracy.
publishDate 2016
dc.date.issued.fl_str_mv 2016
dc.date.accessioned.fl_str_mv 2024-02-16T16:40:06Z
dc.date.available.fl_str_mv 2024-02-16T16:40:06Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1843/64049
dc.identifier.doi.pt_BR.fl_str_mv https://doi.org/10.5935/MedicalExpress.2016.03.09
dc.identifier.issn.pt_BR.fl_str_mv 2358-0429
dc.identifier.orcid.pt_BR.fl_str_mv https://orcid.org/0000-0001-6970-2551
https://orcid.org/0000-0001-7674-3263
https://orcid.org/0000-0003-3896-2208
url https://doi.org/10.5935/MedicalExpress.2016.03.09
http://hdl.handle.net/1843/64049
https://orcid.org/0000-0001-6970-2551
https://orcid.org/0000-0001-7674-3263
https://orcid.org/0000-0003-3896-2208
identifier_str_mv 2358-0429
dc.language.iso.fl_str_mv eng
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dc.relation.ispartof.pt_BR.fl_str_mv MedicalExpress
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dc.publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.publisher.initials.fl_str_mv UFMG
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv EEF - DEPARTAMENTO DE ESPORTES
publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFMG
instname:Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
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