Functional data analysis reveals asymmetrical crank torque during cycling performed at different exercise intensities

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dc.creatorJéssica da Silva Soares
dc.creatorFelipe Carpes
dc.creatorGislaine de Fátima Geraldo
dc.creatorFabíola Bertú Medeiros
dc.creatorMarcos Roberto Kunzler
dc.creatorÁlvaro Sosa Machado
dc.creatorLeopoldo Augusto Paolucci
dc.creatorAndré Gustavo Pereira de Andrade
dc.date.accessioned2023-07-20T20:49:47Z
dc.date.accessioned2025-09-08T23:16:30Z
dc.date.available2023-07-20T20:49:47Z
dc.date.issued2021
dc.identifier.doihttps://doi.org/10.1016/j.jbiomech.2021.110478
dc.identifier.issn1873-2380
dc.identifier.urihttps://hdl.handle.net/1843/56793
dc.languagepor
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofJournal of Biomechanics
dc.rightsAcesso Aberto
dc.subjectCinética
dc.subjectAssimetria
dc.subjectEstatisticas
dc.subjectCiclismo
dc.subject.otherKinetics
dc.subject.otherLower extremity
dc.subject.otherAsymmetry
dc.subject.otherStatistics
dc.subject.otherBicycling
dc.titleFunctional data analysis reveals asymmetrical crank torque during cycling performed at different exercise intensities
dc.typeArtigo de periódico
local.citation.epage5
local.citation.spage1
local.citation.volume122
local.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.
local.identifier.orcidhttps://orcid.org/0000-0003-1520-7330
local.identifier.orcidhttps://orcid.org/0000-0001-8923-4855
local.identifier.orcidhttps://orcid.org/0000-0002-5216-7342
local.identifier.orcidhttps://orcid.org/0000-0002-2057-199X
local.identifier.orcidhttps://orcid.org/0000-0003-1448-5670
local.identifier.orcidhttps://orcid.org/0000-0001-5207-9230
local.identifier.orcidhttps://orcid.org/0000-0001-9670-4894
local.publisher.countryBrasil
local.publisher.departmentEEF - DEPARTAMENTO DE ESPORTES
local.publisher.initialsUFMG
local.url.externahttps://www.sciencedirect.com/science/article/pii/S0021929021002591?via%3Dihub

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