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Relationship between Biological, Training, and Physical Fitness Variables in the Expression of Performance in Non-Professional Runners
Sports performance is a multifactorial trait that can be associated with individual and environmental characteristics. In this study, the sample comprised 35 male runners, enrolled in the “InTrack” project. Information regarding variables related to runners’ training was obtained via an online quest...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8402483/ https://www.ncbi.nlm.nih.gov/pubmed/34437375 http://dx.doi.org/10.3390/sports9080114 |
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author | Thuany, Mabliny Gomes, Thayse Natacha Almeida, Marcos B. |
author_facet | Thuany, Mabliny Gomes, Thayse Natacha Almeida, Marcos B. |
author_sort | Thuany, Mabliny |
collection | PubMed |
description | Sports performance is a multifactorial trait that can be associated with individual and environmental characteristics. In this study, the sample comprised 35 male runners, enrolled in the “InTrack” project. Information regarding variables related to runners’ training was obtained via an online questionnaire, while anthropometric and body composition variables, as well as physical fitness components (muscular power, isometric strength, local muscular endurance, agility, and aerobic capacity) were measured, and a global physical fitness score (based on physical fitness components measured) was computed. The Weltman test (3200 m) was used to estimate runners’ pace and their stride frequency. Linear regression was used, taking the running pace as dependent variable. The final model, comprising biological, physical fitness, spatiotemporal, and training variables, explained 86% of the running performance variance. Muscular power (β = −1.02; 95% CI = (−1.69)–(−0.35)), abdominal muscle endurance (β = −4.81; 95% CI = (−7.52)–(−2.10)), isometric strength (β = −422.95; 95% CI = (−689.65)–(−156.25)), global physical fitness (β = 27.14; 95% CI = 9.52–45.03), and stride frequency (β = −2.99; 95% CI = (−4.29)–(−1.69)) were significantly associated with performance, meaning that better results in tests and increasing the stride frequency leads to better performance. Individual characteristics and physical fitness components were demonstrated to be significant predictors for running performance. |
format | Online Article Text |
id | pubmed-8402483 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84024832021-08-29 Relationship between Biological, Training, and Physical Fitness Variables in the Expression of Performance in Non-Professional Runners Thuany, Mabliny Gomes, Thayse Natacha Almeida, Marcos B. Sports (Basel) Article Sports performance is a multifactorial trait that can be associated with individual and environmental characteristics. In this study, the sample comprised 35 male runners, enrolled in the “InTrack” project. Information regarding variables related to runners’ training was obtained via an online questionnaire, while anthropometric and body composition variables, as well as physical fitness components (muscular power, isometric strength, local muscular endurance, agility, and aerobic capacity) were measured, and a global physical fitness score (based on physical fitness components measured) was computed. The Weltman test (3200 m) was used to estimate runners’ pace and their stride frequency. Linear regression was used, taking the running pace as dependent variable. The final model, comprising biological, physical fitness, spatiotemporal, and training variables, explained 86% of the running performance variance. Muscular power (β = −1.02; 95% CI = (−1.69)–(−0.35)), abdominal muscle endurance (β = −4.81; 95% CI = (−7.52)–(−2.10)), isometric strength (β = −422.95; 95% CI = (−689.65)–(−156.25)), global physical fitness (β = 27.14; 95% CI = 9.52–45.03), and stride frequency (β = −2.99; 95% CI = (−4.29)–(−1.69)) were significantly associated with performance, meaning that better results in tests and increasing the stride frequency leads to better performance. Individual characteristics and physical fitness components were demonstrated to be significant predictors for running performance. MDPI 2021-08-23 /pmc/articles/PMC8402483/ /pubmed/34437375 http://dx.doi.org/10.3390/sports9080114 Text en © 2021 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 Thuany, Mabliny Gomes, Thayse Natacha Almeida, Marcos B. Relationship between Biological, Training, and Physical Fitness Variables in the Expression of Performance in Non-Professional Runners |
title | Relationship between Biological, Training, and Physical Fitness Variables in the Expression of Performance in Non-Professional Runners |
title_full | Relationship between Biological, Training, and Physical Fitness Variables in the Expression of Performance in Non-Professional Runners |
title_fullStr | Relationship between Biological, Training, and Physical Fitness Variables in the Expression of Performance in Non-Professional Runners |
title_full_unstemmed | Relationship between Biological, Training, and Physical Fitness Variables in the Expression of Performance in Non-Professional Runners |
title_short | Relationship between Biological, Training, and Physical Fitness Variables in the Expression of Performance in Non-Professional Runners |
title_sort | relationship between biological, training, and physical fitness variables in the expression of performance in non-professional runners |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8402483/ https://www.ncbi.nlm.nih.gov/pubmed/34437375 http://dx.doi.org/10.3390/sports9080114 |
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