Predictors of muscle strength in older individuals
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , , , , |
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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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 |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
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article |
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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 |
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2358-0429 |
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eng |
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eng |
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MedicalExpress |
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openAccess |
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Universidade Federal de Minas Gerais |
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UFMG |
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Brasil |
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EEF - DEPARTAMENTO DE ESPORTES |
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Universidade Federal de Minas Gerais |
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