Cargando…
Selected Determinants of Acceleration in the 100m Sprint
The goal of this study was to examine the relationship between kinematics, motor abilities, anthropometric characteristics, and the initial (10 m) and secondary (30 m) acceleration phases of the 100 m sprint among athletes of different sprinting performances. Eleven competitive male sprinters (10.96...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Akademia Wychowania Fizycznego w Katowicach
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4415826/ https://www.ncbi.nlm.nih.gov/pubmed/25964817 http://dx.doi.org/10.1515/hukin-2015-0014 |
_version_ | 1782369134672084992 |
---|---|
author | Maćkała, Krzysztof Fostiak, Marek Kowalski, Kacper |
author_facet | Maćkała, Krzysztof Fostiak, Marek Kowalski, Kacper |
author_sort | Maćkała, Krzysztof |
collection | PubMed |
description | The goal of this study was to examine the relationship between kinematics, motor abilities, anthropometric characteristics, and the initial (10 m) and secondary (30 m) acceleration phases of the 100 m sprint among athletes of different sprinting performances. Eleven competitive male sprinters (10.96 s ± 0.36 for 100 with 10.50 s fastest time) and 11 active students (12.20 s ± 0.39 for 100 m with 11.80 s fastest time) volunteered to participate in this study. Sprinting performance (10 m, 30 m, and 100 m from the block start), strength (back squat, back extension), and jumping ability (standing long jump, standing five-jumps, and standing ten-jumps) were tested. An independent t-test for establishing differences between two groups of athletes was used. The Spearman ranking correlation coefficient was computed to verify the association between variables. Additionally, the Ward method of hierarchical cluster analysis was applied. The recorded times of the 10 and 30 m indicated that the strongest correlations were found between a 1-repetition maximum back squat, a standing long jump, standing five jumps, standing ten jumps (r = 0.66, r = 0.72, r = 0.66, and r = 0.72), and speed in the 10 m sprint in competitive athletes. A strong correlation was also found between a 1-repetition maximum back squat and a standing long jump, standing five jumps, and standing ten jumps (r = 0.88, r = 0.87 and r = 0.85), but again only for sprinters. The most important factor for differences in maximum speed development during both the initial and secondary acceleration phase among the two sub-groups was the stride frequency (p<0.01). |
format | Online Article Text |
id | pubmed-4415826 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Akademia Wychowania Fizycznego w Katowicach |
record_format | MEDLINE/PubMed |
spelling | pubmed-44158262015-05-11 Selected Determinants of Acceleration in the 100m Sprint Maćkała, Krzysztof Fostiak, Marek Kowalski, Kacper J Hum Kinet Research Article The goal of this study was to examine the relationship between kinematics, motor abilities, anthropometric characteristics, and the initial (10 m) and secondary (30 m) acceleration phases of the 100 m sprint among athletes of different sprinting performances. Eleven competitive male sprinters (10.96 s ± 0.36 for 100 with 10.50 s fastest time) and 11 active students (12.20 s ± 0.39 for 100 m with 11.80 s fastest time) volunteered to participate in this study. Sprinting performance (10 m, 30 m, and 100 m from the block start), strength (back squat, back extension), and jumping ability (standing long jump, standing five-jumps, and standing ten-jumps) were tested. An independent t-test for establishing differences between two groups of athletes was used. The Spearman ranking correlation coefficient was computed to verify the association between variables. Additionally, the Ward method of hierarchical cluster analysis was applied. The recorded times of the 10 and 30 m indicated that the strongest correlations were found between a 1-repetition maximum back squat, a standing long jump, standing five jumps, standing ten jumps (r = 0.66, r = 0.72, r = 0.66, and r = 0.72), and speed in the 10 m sprint in competitive athletes. A strong correlation was also found between a 1-repetition maximum back squat and a standing long jump, standing five jumps, and standing ten jumps (r = 0.88, r = 0.87 and r = 0.85), but again only for sprinters. The most important factor for differences in maximum speed development during both the initial and secondary acceleration phase among the two sub-groups was the stride frequency (p<0.01). Akademia Wychowania Fizycznego w Katowicach 2015-04-07 /pmc/articles/PMC4415826/ /pubmed/25964817 http://dx.doi.org/10.1515/hukin-2015-0014 Text en © Editorial Committee of Journal of Human Kinetics This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Research Article Maćkała, Krzysztof Fostiak, Marek Kowalski, Kacper Selected Determinants of Acceleration in the 100m Sprint |
title | Selected Determinants of Acceleration in the 100m Sprint |
title_full | Selected Determinants of Acceleration in the 100m Sprint |
title_fullStr | Selected Determinants of Acceleration in the 100m Sprint |
title_full_unstemmed | Selected Determinants of Acceleration in the 100m Sprint |
title_short | Selected Determinants of Acceleration in the 100m Sprint |
title_sort | selected determinants of acceleration in the 100m sprint |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4415826/ https://www.ncbi.nlm.nih.gov/pubmed/25964817 http://dx.doi.org/10.1515/hukin-2015-0014 |
work_keys_str_mv | AT mackałakrzysztof selecteddeterminantsofaccelerationinthe100msprint AT fostiakmarek selecteddeterminantsofaccelerationinthe100msprint AT kowalskikacper selecteddeterminantsofaccelerationinthe100msprint |