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Physical Characteristics and Performance Tests in Male Water Polo: A Multiple Regression Analysis on Youth

Background: In water polo, more physical and performance variables are related to a performance in a match. The aim of our work was therefore: (a) to evaluate the relationships between anthropometric characteristics and performance tests and performance in a match in young male water polo players; (...

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Autores principales: Melchiorri, Giovanni, Triossi, Tamara, Bianchi, Daniele, Tancredi, Virginia, Viero, Valerio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9317981/
https://www.ncbi.nlm.nih.gov/pubmed/35886092
http://dx.doi.org/10.3390/ijerph19148241
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author Melchiorri, Giovanni
Triossi, Tamara
Bianchi, Daniele
Tancredi, Virginia
Viero, Valerio
author_facet Melchiorri, Giovanni
Triossi, Tamara
Bianchi, Daniele
Tancredi, Virginia
Viero, Valerio
author_sort Melchiorri, Giovanni
collection PubMed
description Background: In water polo, more physical and performance variables are related to a performance in a match. The aim of our work was therefore: (a) to evaluate the relationships between anthropometric characteristics and performance tests and performance in a match in young male water polo players; (b) to propose new guidelines for match analysis. Methods: Multiple regression analysis was used to study the results in anthropometric evaluations (height, body mass, chest circumference, arm span, non-dominant arm length) and performance tests (push-up, chin-up, shuttle swim test, sprint swim 10 m, eggbeater kick, 100 m swimming) and two coaches’ evaluations of two friendly matches using new guidelines. A total of 130 subjects (age: 15.6 ± 0.9 years) were involved in the study. Results: In this study, we proposed a new performance model based on multiple regression analysis (r = 0.85, r(2) = 0.73, adjusted r(2) = 0.57) and described by the following equation: Coach’s Evaluation = 151.6 + (−0.016 × height) + (0.6 × body mass) + (−0.82 × chest) + (−0.59 × arm span) + (0.75 × non dominant arm length) + (−0.037 × push up) + (0.17 × chin up) + (5.87 × shuttle swim test) + (−2.2 × 10 m sprint swim) + (0.05 × eggbeater kick) + (−0.35 × 100 m swimming). Inter-observer values were: CV: −3.9%, ICC: 0.82, ES: 0.1. Intra-observer: CV: −4.1%, ICC: 0.96, ES: 0.06. Conclusions: The relationships between anthropometric and performance variables and the match analysis have been statistically described. The equation found can be used to predict the overall performance of a player and permits evaluations of how much the improvement in one of the qualities can affect the players’ overall performance. Moreover, the new method for match analysis we have proposed showed a good reliability and can be used for new studies on water polo.
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spelling pubmed-93179812022-07-27 Physical Characteristics and Performance Tests in Male Water Polo: A Multiple Regression Analysis on Youth Melchiorri, Giovanni Triossi, Tamara Bianchi, Daniele Tancredi, Virginia Viero, Valerio Int J Environ Res Public Health Article Background: In water polo, more physical and performance variables are related to a performance in a match. The aim of our work was therefore: (a) to evaluate the relationships between anthropometric characteristics and performance tests and performance in a match in young male water polo players; (b) to propose new guidelines for match analysis. Methods: Multiple regression analysis was used to study the results in anthropometric evaluations (height, body mass, chest circumference, arm span, non-dominant arm length) and performance tests (push-up, chin-up, shuttle swim test, sprint swim 10 m, eggbeater kick, 100 m swimming) and two coaches’ evaluations of two friendly matches using new guidelines. A total of 130 subjects (age: 15.6 ± 0.9 years) were involved in the study. Results: In this study, we proposed a new performance model based on multiple regression analysis (r = 0.85, r(2) = 0.73, adjusted r(2) = 0.57) and described by the following equation: Coach’s Evaluation = 151.6 + (−0.016 × height) + (0.6 × body mass) + (−0.82 × chest) + (−0.59 × arm span) + (0.75 × non dominant arm length) + (−0.037 × push up) + (0.17 × chin up) + (5.87 × shuttle swim test) + (−2.2 × 10 m sprint swim) + (0.05 × eggbeater kick) + (−0.35 × 100 m swimming). Inter-observer values were: CV: −3.9%, ICC: 0.82, ES: 0.1. Intra-observer: CV: −4.1%, ICC: 0.96, ES: 0.06. Conclusions: The relationships between anthropometric and performance variables and the match analysis have been statistically described. The equation found can be used to predict the overall performance of a player and permits evaluations of how much the improvement in one of the qualities can affect the players’ overall performance. Moreover, the new method for match analysis we have proposed showed a good reliability and can be used for new studies on water polo. MDPI 2022-07-06 /pmc/articles/PMC9317981/ /pubmed/35886092 http://dx.doi.org/10.3390/ijerph19148241 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Melchiorri, Giovanni
Triossi, Tamara
Bianchi, Daniele
Tancredi, Virginia
Viero, Valerio
Physical Characteristics and Performance Tests in Male Water Polo: A Multiple Regression Analysis on Youth
title Physical Characteristics and Performance Tests in Male Water Polo: A Multiple Regression Analysis on Youth
title_full Physical Characteristics and Performance Tests in Male Water Polo: A Multiple Regression Analysis on Youth
title_fullStr Physical Characteristics and Performance Tests in Male Water Polo: A Multiple Regression Analysis on Youth
title_full_unstemmed Physical Characteristics and Performance Tests in Male Water Polo: A Multiple Regression Analysis on Youth
title_short Physical Characteristics and Performance Tests in Male Water Polo: A Multiple Regression Analysis on Youth
title_sort physical characteristics and performance tests in male water polo: a multiple regression analysis on youth
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9317981/
https://www.ncbi.nlm.nih.gov/pubmed/35886092
http://dx.doi.org/10.3390/ijerph19148241
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