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Associations between Multimodal Fitness Assessments and Rowing Ergometer Performance in Collegiate Female Athletes

The purpose was to examine the association of critical power from a three-minute all-out row (CP(3-min)) and peak power from a one-stroke maximum test (1-Stroke) with laboratory-based fitness assessments (peak oxygen consumption [[Formula: see text] (2peak)] and Wingate anaerobic test [WAnT]) and 60...

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Autores principales: Holmes, Clifton J., Hornikel, Bjoern, Sullivan, Katherine, Fedewa, Michael V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7602640/
https://www.ncbi.nlm.nih.gov/pubmed/33076348
http://dx.doi.org/10.3390/sports8100136
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author Holmes, Clifton J.
Hornikel, Bjoern
Sullivan, Katherine
Fedewa, Michael V.
author_facet Holmes, Clifton J.
Hornikel, Bjoern
Sullivan, Katherine
Fedewa, Michael V.
author_sort Holmes, Clifton J.
collection PubMed
description The purpose was to examine the association of critical power from a three-minute all-out row (CP(3-min)) and peak power from a one-stroke maximum test (1-Stroke) with laboratory-based fitness assessments (peak oxygen consumption [[Formula: see text] (2peak)] and Wingate anaerobic test [WAnT]) and 6000 m (6K) and 2000 m (2K) rowing ergometer performance. Thirty-one female collegiate rowers (20.2 ± 1.1 years, 70.9 ± 6.9 kg, and 172.2 ± 4.8 cm) participated in fitness and rowing performance testing. Pearson’s correlations, linear regression, and Cohen’s q were used to determine statistical relationships. Absolute [Formula: see text] (2peak) values displayed significant correlations with 6K(total) (−0.68), 6K(split) (−0.68), 2K(total) (−0.64), and 2K(split) (−0.43). Relative [Formula: see text] (2peak) displayed significant correlations with 6K(total) (−0.36), and 6K(split) (−0.37). CP(3-min) demonstrated significant correlations with 6K(total) (−0.62), 6K(split) (−0.62), 2K(total) (−0.61), and 2K(split) (−0.99). For 2K(split), a significant difference was observed between relative [Formula: see text] (2peak) and CP(3-min) correlations with a “large” effect size (q = 2.367). Furthermore, 1-Stroke showed significant associations with 6K(total) (−0.63), 6K(split) (−0.63), 2K(total) (−0.62), and 2K(split) (−0.44), while WAnT produced non-significant correlations. Absolute [Formula: see text] (2peak) CP(3-min) accounted for significant proportions of variance observed with performance measures (p < 0.05). Practitioners should consider incorporating CP(3-min) and 1-Stroke as additional tests for gauging rowing performance.
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spelling pubmed-76026402020-11-01 Associations between Multimodal Fitness Assessments and Rowing Ergometer Performance in Collegiate Female Athletes Holmes, Clifton J. Hornikel, Bjoern Sullivan, Katherine Fedewa, Michael V. Sports (Basel) Article The purpose was to examine the association of critical power from a three-minute all-out row (CP(3-min)) and peak power from a one-stroke maximum test (1-Stroke) with laboratory-based fitness assessments (peak oxygen consumption [[Formula: see text] (2peak)] and Wingate anaerobic test [WAnT]) and 6000 m (6K) and 2000 m (2K) rowing ergometer performance. Thirty-one female collegiate rowers (20.2 ± 1.1 years, 70.9 ± 6.9 kg, and 172.2 ± 4.8 cm) participated in fitness and rowing performance testing. Pearson’s correlations, linear regression, and Cohen’s q were used to determine statistical relationships. Absolute [Formula: see text] (2peak) values displayed significant correlations with 6K(total) (−0.68), 6K(split) (−0.68), 2K(total) (−0.64), and 2K(split) (−0.43). Relative [Formula: see text] (2peak) displayed significant correlations with 6K(total) (−0.36), and 6K(split) (−0.37). CP(3-min) demonstrated significant correlations with 6K(total) (−0.62), 6K(split) (−0.62), 2K(total) (−0.61), and 2K(split) (−0.99). For 2K(split), a significant difference was observed between relative [Formula: see text] (2peak) and CP(3-min) correlations with a “large” effect size (q = 2.367). Furthermore, 1-Stroke showed significant associations with 6K(total) (−0.63), 6K(split) (−0.63), 2K(total) (−0.62), and 2K(split) (−0.44), while WAnT produced non-significant correlations. Absolute [Formula: see text] (2peak) CP(3-min) accounted for significant proportions of variance observed with performance measures (p < 0.05). Practitioners should consider incorporating CP(3-min) and 1-Stroke as additional tests for gauging rowing performance. MDPI 2020-10-15 /pmc/articles/PMC7602640/ /pubmed/33076348 http://dx.doi.org/10.3390/sports8100136 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
Holmes, Clifton J.
Hornikel, Bjoern
Sullivan, Katherine
Fedewa, Michael V.
Associations between Multimodal Fitness Assessments and Rowing Ergometer Performance in Collegiate Female Athletes
title Associations between Multimodal Fitness Assessments and Rowing Ergometer Performance in Collegiate Female Athletes
title_full Associations between Multimodal Fitness Assessments and Rowing Ergometer Performance in Collegiate Female Athletes
title_fullStr Associations between Multimodal Fitness Assessments and Rowing Ergometer Performance in Collegiate Female Athletes
title_full_unstemmed Associations between Multimodal Fitness Assessments and Rowing Ergometer Performance in Collegiate Female Athletes
title_short Associations between Multimodal Fitness Assessments and Rowing Ergometer Performance in Collegiate Female Athletes
title_sort associations between multimodal fitness assessments and rowing ergometer performance in collegiate female athletes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7602640/
https://www.ncbi.nlm.nih.gov/pubmed/33076348
http://dx.doi.org/10.3390/sports8100136
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