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Physiological Predictors of Competition Performance in CrossFit Athletes

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 f...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7277742/
https://www.ncbi.nlm.nih.gov/pubmed/32456306
http://dx.doi.org/10.3390/ijerph17103699
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author 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
author_facet 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
author_sort Martínez-Gómez, Rafael
collection PubMed
description 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.
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spelling pubmed-72777422020-06-12 Physiological Predictors of Competition Performance in CrossFit Athletes 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 Int J Environ Res Public Health Article 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. MDPI 2020-05-24 2020-05 /pmc/articles/PMC7277742/ /pubmed/32456306 http://dx.doi.org/10.3390/ijerph17103699 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
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
Physiological Predictors of Competition Performance in CrossFit Athletes
title Physiological Predictors of Competition Performance in CrossFit Athletes
title_full Physiological Predictors of Competition Performance in CrossFit Athletes
title_fullStr Physiological Predictors of Competition Performance in CrossFit Athletes
title_full_unstemmed Physiological Predictors of Competition Performance in CrossFit Athletes
title_short Physiological Predictors of Competition Performance in CrossFit Athletes
title_sort physiological predictors of competition performance in crossfit athletes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7277742/
https://www.ncbi.nlm.nih.gov/pubmed/32456306
http://dx.doi.org/10.3390/ijerph17103699
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