Physiological Predictors of Competition Performance in CrossFit Athletes

Rafael Martínez-Gómez, Pedro L. Valenzuela, Lidia B. Alejo, Jaime Gil-Cabrera, Almudena Montalvo-Pérez, Eduardo Talavera, Alejandro Lucia, Susana Moral-González and David Barranco-Gil
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Rafael Martínez-Gómez: Faculty of Sport Sciences, Universidad Europea de Madrid, 28670 Madrid, Spain
Pedro L. Valenzuela: Department of Systems Biology, University of Alcalá, 28805 Madrid, Spain
Lidia B. Alejo: Faculty of Sport Sciences, Universidad Europea de Madrid, 28670 Madrid, Spain
Jaime Gil-Cabrera: Faculty of Sport Sciences, Universidad Europea de Madrid, 28670 Madrid, Spain
Almudena Montalvo-Pérez: Faculty of Sport Sciences, Universidad Europea de Madrid, 28670 Madrid, Spain
Eduardo Talavera: Faculty of Sport Sciences, Universidad Europea de Madrid, 28670 Madrid, Spain
Alejandro Lucia: Faculty of Sport Sciences, Universidad Europea de Madrid, 28670 Madrid, Spain
Susana Moral-González: Faculty of Sport Sciences, Universidad Europea de Madrid, 28670 Madrid, Spain
David Barranco-Gil: Faculty of Sport Sciences, Universidad Europea de Madrid, 28670 Madrid, Spain

IJERPH, 2020, vol. 17, issue 10, 1-12

Abstract: 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 (VO 2max ) 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 VO 2max explained together most of the variance (R 2 = 81%, p < 0.001) in overall CrossFit performance. CrossFit performance is therefore associated with different power-, strength-, and aerobic-related markers.

Keywords: sport; VO 2max; strength; power; laboratory tests; jump (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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