Submaximal elastic resistance band tests to estimate upper and lower extremity maximal muscle strength

Detalhes bibliográficos
Autor(a) principal: Haraldsson, Bjarki T.
Data de Publicação: 2021
Outros Autores: Andersen, Christoffer H., Erhardsen, Katrine T., Zebis, Mette K., Micheletti, Jéssica K. [UNESP], Pastre, Carlos M. [UNESP], Andersen, Lars L.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.3390/ijerph18052749
http://hdl.handle.net/11449/206010
Resumo: Muscle strength assessment is fundamental to track the progress of performance and prescribe correct exercise intensity. In field settings, simple tests are preferred. This study develops equations to estimate maximal muscle strength in upper-and lower-extremity muscles based on submaximal elastic resistance tests. Healthy adults (n = 26) performed a maximal test (1 RM) to validate the ability of the subsequent submaximal tests to determine maximal muscle strength, with elastic bands. Using a within-group repeated measures design, three submaximal tests of 40%, 60%, and 80% during (1) shoulder abduction, (2) shoulder external rotation, (3) hip adduction, and (4) prone knee flexion were performed. The association between number of repetitions and relative intensity was modeled with both 1st and 2nd order polynomials to determine the best predictive validity. For both upper-extremity tests, a strong linear association between repetitions and relative intensity was found (R2 = 0.97–1.00). By contrast, for the lower-extremity tests, the associations were fitted better with a 2nd order polynomial (R2 = 1.00). The results from the present study provide formulas for predicting maximal muscles strength based on submaximal resistance in four different muscles groups and show a muscle-group-specific association between repetitions and intensity.
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spelling Submaximal elastic resistance band tests to estimate upper and lower extremity maximal muscle strength1-repetition maximumMuscle fatiguePredictionResistance trainingMuscle strength assessment is fundamental to track the progress of performance and prescribe correct exercise intensity. In field settings, simple tests are preferred. This study develops equations to estimate maximal muscle strength in upper-and lower-extremity muscles based on submaximal elastic resistance tests. Healthy adults (n = 26) performed a maximal test (1 RM) to validate the ability of the subsequent submaximal tests to determine maximal muscle strength, with elastic bands. Using a within-group repeated measures design, three submaximal tests of 40%, 60%, and 80% during (1) shoulder abduction, (2) shoulder external rotation, (3) hip adduction, and (4) prone knee flexion were performed. The association between number of repetitions and relative intensity was modeled with both 1st and 2nd order polynomials to determine the best predictive validity. For both upper-extremity tests, a strong linear association between repetitions and relative intensity was found (R2 = 0.97–1.00). By contrast, for the lower-extremity tests, the associations were fitted better with a 2nd order polynomial (R2 = 1.00). The results from the present study provide formulas for predicting maximal muscles strength based on submaximal resistance in four different muscles groups and show a muscle-group-specific association between repetitions and intensity.Department of Physiotherapy University College CopenhagenDepartment of Physiotherapy São Paulo State University (UNESP), 305 Roberto SimonsenNational Research Centre for the Working EnvironmentDepartment of Physiotherapy São Paulo State University (UNESP), 305 Roberto SimonsenUniversity College CopenhagenUniversidade Estadual Paulista (Unesp)National Research Centre for the Working EnvironmentHaraldsson, Bjarki T.Andersen, Christoffer H.Erhardsen, Katrine T.Zebis, Mette K.Micheletti, Jéssica K. [UNESP]Pastre, Carlos M. [UNESP]Andersen, Lars L.2021-06-25T10:25:05Z2021-06-25T10:25:05Z2021-03-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1-13http://dx.doi.org/10.3390/ijerph18052749International Journal of Environmental Research and Public Health, v. 18, n. 5, p. 1-13, 2021.1660-46011661-7827http://hdl.handle.net/11449/20601010.3390/ijerph180527492-s2.0-85102151720Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Journal of Environmental Research and Public Healthinfo:eu-repo/semantics/openAccess2021-10-22T20:36:16Zoai:repositorio.unesp.br:11449/206010Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-22T20:36:16Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Submaximal elastic resistance band tests to estimate upper and lower extremity maximal muscle strength
title Submaximal elastic resistance band tests to estimate upper and lower extremity maximal muscle strength
spellingShingle Submaximal elastic resistance band tests to estimate upper and lower extremity maximal muscle strength
Haraldsson, Bjarki T.
1-repetition maximum
Muscle fatigue
Prediction
Resistance training
title_short Submaximal elastic resistance band tests to estimate upper and lower extremity maximal muscle strength
title_full Submaximal elastic resistance band tests to estimate upper and lower extremity maximal muscle strength
title_fullStr Submaximal elastic resistance band tests to estimate upper and lower extremity maximal muscle strength
title_full_unstemmed Submaximal elastic resistance band tests to estimate upper and lower extremity maximal muscle strength
title_sort Submaximal elastic resistance band tests to estimate upper and lower extremity maximal muscle strength
author Haraldsson, Bjarki T.
author_facet Haraldsson, Bjarki T.
Andersen, Christoffer H.
Erhardsen, Katrine T.
Zebis, Mette K.
Micheletti, Jéssica K. [UNESP]
Pastre, Carlos M. [UNESP]
Andersen, Lars L.
author_role author
author2 Andersen, Christoffer H.
Erhardsen, Katrine T.
Zebis, Mette K.
Micheletti, Jéssica K. [UNESP]
Pastre, Carlos M. [UNESP]
Andersen, Lars L.
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv University College Copenhagen
Universidade Estadual Paulista (Unesp)
National Research Centre for the Working Environment
dc.contributor.author.fl_str_mv Haraldsson, Bjarki T.
Andersen, Christoffer H.
Erhardsen, Katrine T.
Zebis, Mette K.
Micheletti, Jéssica K. [UNESP]
Pastre, Carlos M. [UNESP]
Andersen, Lars L.
dc.subject.por.fl_str_mv 1-repetition maximum
Muscle fatigue
Prediction
Resistance training
topic 1-repetition maximum
Muscle fatigue
Prediction
Resistance training
description Muscle strength assessment is fundamental to track the progress of performance and prescribe correct exercise intensity. In field settings, simple tests are preferred. This study develops equations to estimate maximal muscle strength in upper-and lower-extremity muscles based on submaximal elastic resistance tests. Healthy adults (n = 26) performed a maximal test (1 RM) to validate the ability of the subsequent submaximal tests to determine maximal muscle strength, with elastic bands. Using a within-group repeated measures design, three submaximal tests of 40%, 60%, and 80% during (1) shoulder abduction, (2) shoulder external rotation, (3) hip adduction, and (4) prone knee flexion were performed. The association between number of repetitions and relative intensity was modeled with both 1st and 2nd order polynomials to determine the best predictive validity. For both upper-extremity tests, a strong linear association between repetitions and relative intensity was found (R2 = 0.97–1.00). By contrast, for the lower-extremity tests, the associations were fitted better with a 2nd order polynomial (R2 = 1.00). The results from the present study provide formulas for predicting maximal muscles strength based on submaximal resistance in four different muscles groups and show a muscle-group-specific association between repetitions and intensity.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-25T10:25:05Z
2021-06-25T10:25:05Z
2021-03-01
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://dx.doi.org/10.3390/ijerph18052749
International Journal of Environmental Research and Public Health, v. 18, n. 5, p. 1-13, 2021.
1660-4601
1661-7827
http://hdl.handle.net/11449/206010
10.3390/ijerph18052749
2-s2.0-85102151720
url http://dx.doi.org/10.3390/ijerph18052749
http://hdl.handle.net/11449/206010
identifier_str_mv International Journal of Environmental Research and Public Health, v. 18, n. 5, p. 1-13, 2021.
1660-4601
1661-7827
10.3390/ijerph18052749
2-s2.0-85102151720
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv International Journal of Environmental Research and Public Health
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1-13
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1799965517023281152