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Open AccessArticle

Physiological Predictors of Competition Performance in CrossFit Athletes

1
Faculty of Sport Sciences, Universidad Europea de Madrid, 28670 Madrid, Spain
2
Department of Systems Biology, University of Alcalá, 28805 Madrid, Spain
3
Department of Sport and Health, Spanish Agency for Health Protection in Sport (AEPSAD), 28016 Madrid, Spain
4
Instituto de Investigación Hospital 12 de Octubre (imas12), 28009 Madrid, Spain
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Int. J. Environ. Res. Public Health 2020, 17(10), 3699; https://doi.org/10.3390/ijerph17103699
Received: 18 April 2020 / Revised: 20 May 2020 / Accepted: 21 May 2020 / Published: 24 May 2020
(This article belongs to the Special Issue Physical Education and Exercise Prehabilitation)
The 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. View Full-Text
Keywords: sport; VO2max; strength; power; laboratory tests; jump sport; VO2max; strength; power; laboratory tests; jump
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MDPI and ACS Style

Martínez-Gómez, R.; Valenzuela, P.L.; Alejo, L.B.; Gil-Cabrera, J.; Montalvo-Pérez, A.; Talavera, E.; Lucia, A.; Moral-González, S.; Barranco-Gil, D. Physiological Predictors of Competition Performance in CrossFit Athletes. Int. J. Environ. Res. Public Health 2020, 17, 3699. https://doi.org/10.3390/ijerph17103699

AMA Style

Martínez-Gómez R, Valenzuela PL, Alejo LB, Gil-Cabrera J, Montalvo-Pérez A, Talavera E, Lucia A, Moral-González S, Barranco-Gil D. Physiological Predictors of Competition Performance in CrossFit Athletes. International Journal of Environmental Research and Public Health. 2020; 17(10):3699. https://doi.org/10.3390/ijerph17103699

Chicago/Turabian Style

Martínez-Gómez, Rafael; Valenzuela, Pedro L.; Alejo, Lidia B.; Gil-Cabrera, Jaime; Montalvo-Pérez, Almudena; Talavera, Eduardo; Lucia, Alejandro; Moral-González, Susana; Barranco-Gil, David. 2020. "Physiological Predictors of Competition Performance in CrossFit Athletes" Int. J. Environ. Res. Public Health 17, no. 10: 3699. https://doi.org/10.3390/ijerph17103699

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