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Assessment of the Multi-Location External Workload Profile in the Most Common Movements in Basketball
The present study analyzed the multi-location external workload profile in basketball players using a previously validated test battery and compared the demands among anatomical locations. A basketball team comprising 13 semi-professional male players was evaluated in five tests (abilities/skills/te...
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/PMC8156149/ https://www.ncbi.nlm.nih.gov/pubmed/34063340 http://dx.doi.org/10.3390/s21103441 |
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author | Gómez-Carmona, Carlos D. Feu, Sebastián Pino-Ortega, José Ibáñez, Sergio J. |
author_facet | Gómez-Carmona, Carlos D. Feu, Sebastián Pino-Ortega, José Ibáñez, Sergio J. |
author_sort | Gómez-Carmona, Carlos D. |
collection | PubMed |
description | The present study analyzed the multi-location external workload profile in basketball players using a previously validated test battery and compared the demands among anatomical locations. A basketball team comprising 13 semi-professional male players was evaluated in five tests (abilities/skills/tests): (a) aerobic, linear movement, 30-15 IFT; (b) lactic anaerobic, acceleration and deceleration, 16.25 m RSA (c) alactic anaerobic, curvilinear movement, 6.75 m arc (d) elastic, jump, Abalakov test (e) physical-conditioning, small-sided game, 10’ 3 vs.3 10 × 15 m. PlayerLoad(RT) was evaluated at six anatomical locations simultaneously (interscapular line, lumbar region, knees and ankles) by six WIMU PRO(TM) inertial devices attached to the player using an ad hoc integral suit. Statistical analysis was composed of an ANOVA of repeated measures and partial eta squared effect sizes. Significant differences among anatomical locations were found in all tests with higher values in the location nearer to ground contact (p < 0.01). However, differences between lower limb locations were only found in curvilinear movements, with a higher workload in the outside leg (p < 0.01). Additionally, high between-subject variability was found in team players, especially at lower limb locations. In conclusion, multi-location evaluation in sports movements will make it possible to establish an individual external workload profile and design specific strategies for training and injury prevention programs. |
format | Online Article Text |
id | pubmed-8156149 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-81561492021-05-28 Assessment of the Multi-Location External Workload Profile in the Most Common Movements in Basketball Gómez-Carmona, Carlos D. Feu, Sebastián Pino-Ortega, José Ibáñez, Sergio J. Sensors (Basel) Article The present study analyzed the multi-location external workload profile in basketball players using a previously validated test battery and compared the demands among anatomical locations. A basketball team comprising 13 semi-professional male players was evaluated in five tests (abilities/skills/tests): (a) aerobic, linear movement, 30-15 IFT; (b) lactic anaerobic, acceleration and deceleration, 16.25 m RSA (c) alactic anaerobic, curvilinear movement, 6.75 m arc (d) elastic, jump, Abalakov test (e) physical-conditioning, small-sided game, 10’ 3 vs.3 10 × 15 m. PlayerLoad(RT) was evaluated at six anatomical locations simultaneously (interscapular line, lumbar region, knees and ankles) by six WIMU PRO(TM) inertial devices attached to the player using an ad hoc integral suit. Statistical analysis was composed of an ANOVA of repeated measures and partial eta squared effect sizes. Significant differences among anatomical locations were found in all tests with higher values in the location nearer to ground contact (p < 0.01). However, differences between lower limb locations were only found in curvilinear movements, with a higher workload in the outside leg (p < 0.01). Additionally, high between-subject variability was found in team players, especially at lower limb locations. In conclusion, multi-location evaluation in sports movements will make it possible to establish an individual external workload profile and design specific strategies for training and injury prevention programs. MDPI 2021-05-15 /pmc/articles/PMC8156149/ /pubmed/34063340 http://dx.doi.org/10.3390/s21103441 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 Gómez-Carmona, Carlos D. Feu, Sebastián Pino-Ortega, José Ibáñez, Sergio J. Assessment of the Multi-Location External Workload Profile in the Most Common Movements in Basketball |
title | Assessment of the Multi-Location External Workload Profile in the Most Common Movements in Basketball |
title_full | Assessment of the Multi-Location External Workload Profile in the Most Common Movements in Basketball |
title_fullStr | Assessment of the Multi-Location External Workload Profile in the Most Common Movements in Basketball |
title_full_unstemmed | Assessment of the Multi-Location External Workload Profile in the Most Common Movements in Basketball |
title_short | Assessment of the Multi-Location External Workload Profile in the Most Common Movements in Basketball |
title_sort | assessment of the multi-location external workload profile in the most common movements in basketball |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8156149/ https://www.ncbi.nlm.nih.gov/pubmed/34063340 http://dx.doi.org/10.3390/s21103441 |
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