Submaximal elastic resistance band tests to estimate upper and lower extremity maximal muscle strength
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , |
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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Repositório Institucional da UNESP |
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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 |