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Predictors of CrossFit Open Performance

The 2018 CrossFit Open (CFO) was the initial stage of an annual competition that consisted of five weekly workouts. Current evidence suggests that a variety of fitness parameters are important for progressing beyond this stage, but little is known about which are the most important. To examine relat...

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Autores principales: Mangine, Gerald T., Tankersley, Joy E., McDougle, Jacob M., Velazquez, Nathanael, Roberts, Michael D., Esmat, Tiffany A., VanDusseldorp, Trisha A., Feito, Yuri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7404807/
https://www.ncbi.nlm.nih.gov/pubmed/32698335
http://dx.doi.org/10.3390/sports8070102
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author Mangine, Gerald T.
Tankersley, Joy E.
McDougle, Jacob M.
Velazquez, Nathanael
Roberts, Michael D.
Esmat, Tiffany A.
VanDusseldorp, Trisha A.
Feito, Yuri
author_facet Mangine, Gerald T.
Tankersley, Joy E.
McDougle, Jacob M.
Velazquez, Nathanael
Roberts, Michael D.
Esmat, Tiffany A.
VanDusseldorp, Trisha A.
Feito, Yuri
author_sort Mangine, Gerald T.
collection PubMed
description The 2018 CrossFit Open (CFO) was the initial stage of an annual competition that consisted of five weekly workouts. Current evidence suggests that a variety of fitness parameters are important for progressing beyond this stage, but little is known about which are the most important. To examine relationships between CFO performance, experience, and physiological fitness, sixteen experienced (>2 years) athletes (30.7 ± 6.9 years, 171 ± 12 cm, 78.0 ± 16.2 kg) volunteered to provide information about their training and competitive history, and then complete a battery of physiological assessments prior to competing in the 2018 CFO. Athletes’ resting energy expenditure, hormone concentrations, body composition, muscle morphology, cardiorespiratory fitness, and isometric strength were assessed on two separate occasions. Spearman correlations demonstrated significant (p < 0.05) relationships between most variables and performance on each workout. Stepwise regression revealed competition experience (R(2) = 0.31–0.63), body composition (R(2) = 0.55–0.80), vastus lateralis cross-sectional area (R(2) = 0.29–0.89), respiratory compensation threshold (R(2) = 0.54–0.75), and rate of force development (R(2) = 0.30–0.76) to be the most common predictors. Of these, body composition was the most important. These fitness parameters are known targets with established training recommendations. Though preliminary, athletes may use these data to effectively train for CFO competition.
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spelling pubmed-74048072020-08-11 Predictors of CrossFit Open Performance Mangine, Gerald T. Tankersley, Joy E. McDougle, Jacob M. Velazquez, Nathanael Roberts, Michael D. Esmat, Tiffany A. VanDusseldorp, Trisha A. Feito, Yuri Sports (Basel) Article The 2018 CrossFit Open (CFO) was the initial stage of an annual competition that consisted of five weekly workouts. Current evidence suggests that a variety of fitness parameters are important for progressing beyond this stage, but little is known about which are the most important. To examine relationships between CFO performance, experience, and physiological fitness, sixteen experienced (>2 years) athletes (30.7 ± 6.9 years, 171 ± 12 cm, 78.0 ± 16.2 kg) volunteered to provide information about their training and competitive history, and then complete a battery of physiological assessments prior to competing in the 2018 CFO. Athletes’ resting energy expenditure, hormone concentrations, body composition, muscle morphology, cardiorespiratory fitness, and isometric strength were assessed on two separate occasions. Spearman correlations demonstrated significant (p < 0.05) relationships between most variables and performance on each workout. Stepwise regression revealed competition experience (R(2) = 0.31–0.63), body composition (R(2) = 0.55–0.80), vastus lateralis cross-sectional area (R(2) = 0.29–0.89), respiratory compensation threshold (R(2) = 0.54–0.75), and rate of force development (R(2) = 0.30–0.76) to be the most common predictors. Of these, body composition was the most important. These fitness parameters are known targets with established training recommendations. Though preliminary, athletes may use these data to effectively train for CFO competition. MDPI 2020-07-20 /pmc/articles/PMC7404807/ /pubmed/32698335 http://dx.doi.org/10.3390/sports8070102 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
Mangine, Gerald T.
Tankersley, Joy E.
McDougle, Jacob M.
Velazquez, Nathanael
Roberts, Michael D.
Esmat, Tiffany A.
VanDusseldorp, Trisha A.
Feito, Yuri
Predictors of CrossFit Open Performance
title Predictors of CrossFit Open Performance
title_full Predictors of CrossFit Open Performance
title_fullStr Predictors of CrossFit Open Performance
title_full_unstemmed Predictors of CrossFit Open Performance
title_short Predictors of CrossFit Open Performance
title_sort predictors of crossfit open performance
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7404807/
https://www.ncbi.nlm.nih.gov/pubmed/32698335
http://dx.doi.org/10.3390/sports8070102
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