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Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/56793
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dc.creatorJéssica da Silva Soarespt_BR
dc.creatorFelipe Carpespt_BR
dc.creatorGislaine de Fátima Geraldopt_BR
dc.creatorFabíola Bertú Medeirospt_BR
dc.creatorMarcos Roberto Kunzlerpt_BR
dc.creatorÁlvaro Sosa Machadopt_BR
dc.creatorLeopoldo Augusto Paoluccipt_BR
dc.creatorAndré Gustavo Pereira de Andradept_BR
dc.date.accessioned2023-07-20T20:49:47Z-
dc.date.available2023-07-20T20:49:47Z-
dc.date.issued2021-
dc.citation.volume122pt_BR
dc.citation.spage1pt_BR
dc.citation.epage5pt_BR
dc.identifier.doihttps://doi.org/10.1016/j.jbiomech.2021.110478pt_BR
dc.identifier.issn1873-2380pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/56793-
dc.description.resumoPedaling asymmetry is claimed as a factor of influence on injury and performance. However, the evidence is still controversial. Most previous studies determined peak torque asymmetries, which in our under standing does not consider the pattern of movement like torque profiles. Here we demonstrate that asymmetries in pedaling torque at different exercise intensities can be better described when the torque profiles are considered using functional analysis of variance than when only the peak values are analyzed. We compared peak torques and torque curves recorded while cyclists pedaled at submaximal intensities of 60%, 80%, and 95% of the maximal power output and compared data between the preferred and non preferred legs. ANOVA showed symmetry or rather no difference in the amount of peak torque between legs, regardless of pedaling intensity. FANOVA, on the other hand, revealed significant asymmetries between legs, regardless of cycling intensity, apparently for different sections of the cycle, however, not for peak torque, either. We conclude that pedaling asymmetry cannot be quantified solely by peak torques and considering the analysis of the entire movement cycle can more accurately reflect the biome chanical movement pattern. Therefore, FANOVA data analysis could be an alternative to identify asym metries. A novel approach as described here might be useful when combining kinetics assessment with other approaches like EMG and kinematics and help to better understand the role of pedaling asym metries for performance and injury risks.pt_BR
dc.languageporpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentEEF - DEPARTAMENTO DE ESPORTESpt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofJournal of Biomechanicspt_BR
dc.rightsAcesso Abertopt_BR
dc.subjectKineticspt_BR
dc.subjectLower extremitypt_BR
dc.subjectAsymmetrypt_BR
dc.subjectStatisticspt_BR
dc.subjectBicyclingpt_BR
dc.subject.otherCinéticapt_BR
dc.subject.otherAssimetriapt_BR
dc.subject.otherEstatisticaspt_BR
dc.subject.otherCiclismopt_BR
dc.titleFunctional data analysis reveals asymmetrical crank torque during cycling performed at different exercise intensitiespt_BR
dc.typeArtigo de Periódicopt_BR
dc.url.externahttps://www.sciencedirect.com/science/article/pii/S0021929021002591?via%3Dihubpt_BR
dc.identifier.orcidhttps://orcid.org/0000-0003-1520-7330pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-8923-4855pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-5216-7342pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-2057-199Xpt_BR
dc.identifier.orcidhttps://orcid.org/0000-0003-1448-5670pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-5207-9230pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-9670-4894pt_BR
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