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Usefulness of [Formula: see text] Kinetics and Biomechanical Parameters as Predictors of Athlete’s Performance in 800 m Running Race
Incremental tests to exhaustion have been usually employed as the “gold standard” to establish the fitness level of athletes. However, during real competition in many sport disciplines, exertion is not characterized by an increasing effort until failure. The purpose of this preliminary study was to...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9862118/ https://www.ncbi.nlm.nih.gov/pubmed/36668719 http://dx.doi.org/10.3390/sports11010015 |
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author | Navarro, Vicente Torres Díaz-Pintado, Jose Vicente Sánchez-Alarcos Piero, Diego Warr di Olmedo, Florentino Huertas |
author_facet | Navarro, Vicente Torres Díaz-Pintado, Jose Vicente Sánchez-Alarcos Piero, Diego Warr di Olmedo, Florentino Huertas |
author_sort | Navarro, Vicente Torres |
collection | PubMed |
description | Incremental tests to exhaustion have been usually employed as the “gold standard” to establish the fitness level of athletes. However, during real competition in many sport disciplines, exertion is not characterized by an increasing effort until failure. The purpose of this preliminary study was to add new evidence regarding the usability of parameters obtained from an on-field testing in 800 m running athletes. [Formula: see text] kinetics (mean, amplitude, phase time, and phase start time) and biomechanical parameters (velocity, stride frequency, and stride length) were analyzed in eight athletes during a maximal 800 m running race test. Our results showed that only the peak of blood lactate concentration after the 800 m test was correlated with the race time (p = 0.047). The race time was positively associated with both the phase duration and phase start time (all p-values < 0.05). Conversely, race time was negatively correlated with velocity, stride frequency, and amplitude (p-values < 0.05). Our results reveal that jointly studying the [Formula: see text] kinetics and biomechanical parameters during a maximal 800 m running race test is a useful tool to predict the athlete’s upcoming performance and improve the planning and control of the training process of 800 m running athletes. |
format | Online Article Text |
id | pubmed-9862118 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98621182023-01-22 Usefulness of [Formula: see text] Kinetics and Biomechanical Parameters as Predictors of Athlete’s Performance in 800 m Running Race Navarro, Vicente Torres Díaz-Pintado, Jose Vicente Sánchez-Alarcos Piero, Diego Warr di Olmedo, Florentino Huertas Sports (Basel) Article Incremental tests to exhaustion have been usually employed as the “gold standard” to establish the fitness level of athletes. However, during real competition in many sport disciplines, exertion is not characterized by an increasing effort until failure. The purpose of this preliminary study was to add new evidence regarding the usability of parameters obtained from an on-field testing in 800 m running athletes. [Formula: see text] kinetics (mean, amplitude, phase time, and phase start time) and biomechanical parameters (velocity, stride frequency, and stride length) were analyzed in eight athletes during a maximal 800 m running race test. Our results showed that only the peak of blood lactate concentration after the 800 m test was correlated with the race time (p = 0.047). The race time was positively associated with both the phase duration and phase start time (all p-values < 0.05). Conversely, race time was negatively correlated with velocity, stride frequency, and amplitude (p-values < 0.05). Our results reveal that jointly studying the [Formula: see text] kinetics and biomechanical parameters during a maximal 800 m running race test is a useful tool to predict the athlete’s upcoming performance and improve the planning and control of the training process of 800 m running athletes. MDPI 2023-01-09 /pmc/articles/PMC9862118/ /pubmed/36668719 http://dx.doi.org/10.3390/sports11010015 Text en © 2023 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 Navarro, Vicente Torres Díaz-Pintado, Jose Vicente Sánchez-Alarcos Piero, Diego Warr di Olmedo, Florentino Huertas Usefulness of [Formula: see text] Kinetics and Biomechanical Parameters as Predictors of Athlete’s Performance in 800 m Running Race |
title | Usefulness of [Formula: see text] Kinetics and Biomechanical Parameters as Predictors of Athlete’s Performance in 800 m Running Race |
title_full | Usefulness of [Formula: see text] Kinetics and Biomechanical Parameters as Predictors of Athlete’s Performance in 800 m Running Race |
title_fullStr | Usefulness of [Formula: see text] Kinetics and Biomechanical Parameters as Predictors of Athlete’s Performance in 800 m Running Race |
title_full_unstemmed | Usefulness of [Formula: see text] Kinetics and Biomechanical Parameters as Predictors of Athlete’s Performance in 800 m Running Race |
title_short | Usefulness of [Formula: see text] Kinetics and Biomechanical Parameters as Predictors of Athlete’s Performance in 800 m Running Race |
title_sort | usefulness of [formula: see text] kinetics and biomechanical parameters as predictors of athlete’s performance in 800 m running race |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9862118/ https://www.ncbi.nlm.nih.gov/pubmed/36668719 http://dx.doi.org/10.3390/sports11010015 |
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