Author
Listed:
- Rafael Martínez-Gómez
(Faculty of Sport Sciences, Universidad Europea de Madrid, 28670 Madrid, Spain
These authors contributed equally to this work.)
- Pedro L. Valenzuela
(Department of Systems Biology, University of Alcalá, 28805 Madrid, Spain
Department of Sport and Health, Spanish Agency for Health Protection in Sport (AEPSAD), 28016 Madrid, Spain
These authors contributed equally to this work.)
- Lidia B. Alejo
(Faculty of Sport Sciences, Universidad Europea de Madrid, 28670 Madrid, Spain
Instituto de Investigación Hospital 12 de Octubre (imas12), 28009 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
Instituto de Investigación Hospital 12 de Octubre (imas12), 28009 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)
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.
Suggested Citation
Rafael Martínez-Gómez & Pedro L. Valenzuela & Lidia B. Alejo & Jaime Gil-Cabrera & Almudena Montalvo-Pérez & Eduardo Talavera & Alejandro Lucia & Susana Moral-González & David Barranco-Gil, 2020.
"Physiological Predictors of Competition Performance in CrossFit Athletes,"
IJERPH, MDPI, vol. 17(10), pages 1-12, May.
Handle:
RePEc:gam:jijerp:v:17:y:2020:i:10:p:3699-:d:362303
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Citations
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Cited by:
- Tomás Ponce-García & Javier Benítez-Porres & Jerónimo Carmelo García-Romero & Alejandro Castillo-Domínguez & José Ramón Alvero-Cruz, 2021.
"The Anaerobic Power Assessment in CrossFit ® Athletes: An Agreement Study,"
IJERPH, MDPI, vol. 18(16), pages 1-12, August.
- Antonio Cejudo, 2022.
"Predicting the Clean Movement Technique in Crossfit ® Athletes Using an Optimal Upper-Limb Range of Motion: A Prospective Cohort Study,"
IJERPH, MDPI, vol. 19(19), pages 1-15, October.
- Marcos Jusdado-García & Rubén Cuesta-Barriuso, 2021.
"Soft Tissue Mobilization and Stretching for Shoulder in CrossFitters: A Randomized Pilot Study,"
IJERPH, MDPI, vol. 18(2), pages 1-10, January.
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