Physiological Predictors of Competition Performance in CrossFit Athletes

dc.contributor.authorMartínez Gómez, Rafael
dc.contributor.authorValenzuela Ruiz, Pedro Luis
dc.contributor.authorBrea Alejo, Lidia
dc.contributor.authorGil Cabrera, Jaime
dc.contributor.authorMontalvo Pérez, Almudena
dc.contributor.authorTalavera Fernández, Eduardo
dc.contributor.authorLucía Mulas, Alejandro
dc.contributor.authorMoral González, Susana
dc.contributor.authorBarranco Gil, David
dc.date.accessioned2020-11-03T18:19:59Z
dc.date.available2020-11-03T18:19:59Z
dc.date.issued2020
dc.description.abstractThe aim of this study was to determine the physiological variables that predict competition performance during a CrossFit competition. Fifteen male amateur CrossFit athletes (age, 35 ± 9 years; CrossFit experience, 40 ± 27 months) performed a series of laboratory-based tests (incremental load test for deep full squat and bench press; squat, countermovement and drop jump tests; and incremental running and Wingate tests) that were studied as potential predictors of CrossFit performance. Thereafter, they performed the five Workouts of the Day (WODs) corresponding to the CrossFit Games Open 2019, and we assessed the relationship between the laboratory-based markers and CrossFit performance with regression analyses. Overall CrossFit performance (i.e., final ranking considering the sum of all WODs, as assessed by number of repetitions, time spent in exercises or weight lifted) was significantly related to jump ability, mean and peak power output during the Wingate test, relative maximum strength for the deep full squat and the bench press, and maximum oxygen uptake (VO2max) and speed during the incremental test (all p < 0.05, r = 0.58-0.75). However, the relationship between CrossFit Performance and most laboratory markers varied depending on the analyzed WOD. Multiple linear regression analysis indicated that measures of lower-body muscle power (particularly jump ability) and VO2max explained together most of the variance (R2 = 81%, p < 0.001) in overall CrossFit performance. CrossFit performance is therefore associated with different power-, strength-, and aerobic-related markers.spa
dc.description.filiationUEMspa
dc.description.impact3.390 JCR (2020) Q1, 41/176 Public, Environmental & Occupational Healthspa
dc.description.impact0.747 SJR (2020) Q2, 50/137 Health, Toxicology and Mutagenesisspa
dc.description.impactNo data IDR 2019spa
dc.description.sponsorshipSin financiaciónspa
dc.identifier.citationMartínez, R., Valenzuela, P. L., Brea, L., Gil, J., Montalvo, A., Talavera, E., ... & Barranco, D. (2020). Physiological Predictors of Competition Performance in CrossFit Athletes. International Journal of Environmental Research and Public Health, 17(10), 3699. https://doi.org/10.3390/ijerph17103699spa
dc.identifier.doi10.3390/ijerph17103699
dc.identifier.issn1661-7827
dc.identifier.issn1660-4601
dc.identifier.urihttp://hdl.handle.net/11268/9278
dc.language.isoengspa
dc.peerreviewedSispa
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.accessRightsopen accessspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject.uemFisiología del ejerciciospa
dc.subject.uemEntrenamiento con pesasspa
dc.subject.uemCondición físicaspa
dc.subject.unescoDeportespa
dc.subject.unescoFisiología humanaspa
dc.subject.unescoMedicina deportivaspa
dc.titlePhysiological Predictors of Competition Performance in CrossFit Athletesspa
dc.typejournal articlespa
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscovery8c9501c2-c3f1-4a7e-aa0d-a971fab26e06

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