dc.creatorPereira
dc.creatorVanessa Helena; Traina Gama
dc.creatorMaria Carolina; Barros Sousa
dc.creatorFilipe Antonio; Lewis
dc.creatorTheodore Gyle; Gobatto
dc.creatorClaudio Alexandre; Manchado-Gobatto
dc.creatorFulvia Barros
dc.date2015-MAY
dc.date2016-06-07T13:18:01Z
dc.date2016-06-07T13:18:01Z
dc.date.accessioned2018-03-29T01:38:30Z
dc.date.available2018-03-29T01:38:30Z
dc.identifier
dc.identifierComplex Network Models Reveal Correlations Among Network Metrics, Exercise Intensity And Role Of Body Changes In The Fatigue Process. Nature Publishing Group, v. 5, p. MAY-2015.
dc.identifier2045-2322
dc.identifierWOS:000355507700001
dc.identifier10.1038/srep10489
dc.identifierhttp://www.nature.com/articles/srep10489
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/242442
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1306140
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionThe aims of the present study were analyze the fatigue process at distinct intensity efforts and to investigate its occurrence as interactions at distinct body changes during exercise, using complex network models. For this, participants were submitted to four different running intensities until exhaustion, accomplished in a non-motorized treadmill using a tethered system. The intensities were selected according to critical power model. Mechanical (force, peak power, mean power, velocity and work) and physiological related parameters (heart rate, blood lactate, time until peak blood lactate concentration (lactate time), lean mass, anaerobic and aerobic capacities) and IPAQ score were obtained during exercises and it was used to construction of four complex network models. Such models have both, theoretical and mathematical value, and enables us to perceive new insights that go beyond conventional analysis. From these, we ranked the influences of each node at the fatigue process. Our results shows that nodes, links and network metrics are sensibility according to increase of efforts intensities, been the velocity a key factor to exercise maintenance at models/intensities 1 and 2 (higher time efforts) and force and power at models 3 and 4, highlighting mechanical variables in the exhaustion occurrence and even training prescription applications.
dc.description5
dc.description
dc.description
dc.description
dc.description
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionFAPESP [2009/08535-5, 2012/06355-2]
dc.descriptionCAPES [01P04517/2013, 01P03422-2014]
dc.description
dc.description
dc.description
dc.languageen
dc.publisherNATURE PUBLISHING GROUP
dc.publisher
dc.publisherLONDON
dc.relationSCIENTIFIC REPORTS
dc.rightsaberto
dc.sourceWOS
dc.subjectCritical Power Concept
dc.subjectTreadmill Test
dc.subjectNeuromuscular Fatigue
dc.subjectMuscle Fatigue
dc.subjectWork Capacity
dc.subjectPerformance
dc.subjectForce
dc.subjectReliability
dc.subjectKinematics
dc.subjectValidity
dc.titleComplex Network Models Reveal Correlations Among Network Metrics, Exercise Intensity And Role Of Body Changes In The Fatigue Process
dc.typeArtículos de revistas


Este ítem pertenece a la siguiente institución