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Multi-Location External Workload Profile in Women’s Basketball Players. A Case Study at the Semiprofessional-Level

The external workload measured in one anatomical location does not determine the total load supported by the human body. Therefore, the purpose of the present study was to characterize the multi-location external workload through PlayerLoad(RT) of 13 semi-professional women’s basketball players, as...

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Autores principales: Gómez-Carmona, Carlos D., Mancha-Triguero, David, Pino-Ortega, José, Ibáñez, Sergio J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8296836/
https://www.ncbi.nlm.nih.gov/pubmed/34206600
http://dx.doi.org/10.3390/s21134277
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author Gómez-Carmona, Carlos D.
Mancha-Triguero, David
Pino-Ortega, José
Ibáñez, Sergio J.
author_facet Gómez-Carmona, Carlos D.
Mancha-Triguero, David
Pino-Ortega, José
Ibáñez, Sergio J.
author_sort Gómez-Carmona, Carlos D.
collection PubMed
description The external workload measured in one anatomical location does not determine the total load supported by the human body. Therefore, the purpose of the present study was to characterize the multi-location external workload through PlayerLoad(RT) of 13 semi-professional women’s basketball players, as well as to analyze differences among anatomical locations (inter-scapulae line, lumbar region, 2× knee, 2× ankle) and laterality (left vs. right) during five tests that represent the most common movements in basketball—(a) linear locomotion, 30-15 IFT; (b) acceleration and deceleration, 16.25-m RSA (c) curvilinear locomotion, 6.75-m arc (d) jump, Abalakov test (e) small-sided game, 10’ 3 vs. 3 10 × 15-m. Statistical analysis was composed of a repeated-measures t-test and eta partial squared effect size. Regarding laterality, differences were found only in curvilinear locomotion, with a higher workload in the outer leg (p < 0.01; η(p)(2) = 0.33–0.63). In the vertical profile, differences among anatomical locations were found in all tests (p < 0.01; η(p)(2) = 0.56–0.98). The nearer location to ground contact showed higher values except between the scapulae and lumbar region during jumps (p = 0.83; η(p)(2) = 0.00). In conclusion, the multi-location assessment of external workload through a previously validated test battery will make it possible to understand the individual effect of external workload in each anatomical location that depends on the type of locomotion. These results should be considered when designing specific strategies for training and injury prevention.
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spelling pubmed-82968362021-07-23 Multi-Location External Workload Profile in Women’s Basketball Players. A Case Study at the Semiprofessional-Level Gómez-Carmona, Carlos D. Mancha-Triguero, David Pino-Ortega, José Ibáñez, Sergio J. Sensors (Basel) Article The external workload measured in one anatomical location does not determine the total load supported by the human body. Therefore, the purpose of the present study was to characterize the multi-location external workload through PlayerLoad(RT) of 13 semi-professional women’s basketball players, as well as to analyze differences among anatomical locations (inter-scapulae line, lumbar region, 2× knee, 2× ankle) and laterality (left vs. right) during five tests that represent the most common movements in basketball—(a) linear locomotion, 30-15 IFT; (b) acceleration and deceleration, 16.25-m RSA (c) curvilinear locomotion, 6.75-m arc (d) jump, Abalakov test (e) small-sided game, 10’ 3 vs. 3 10 × 15-m. Statistical analysis was composed of a repeated-measures t-test and eta partial squared effect size. Regarding laterality, differences were found only in curvilinear locomotion, with a higher workload in the outer leg (p < 0.01; η(p)(2) = 0.33–0.63). In the vertical profile, differences among anatomical locations were found in all tests (p < 0.01; η(p)(2) = 0.56–0.98). The nearer location to ground contact showed higher values except between the scapulae and lumbar region during jumps (p = 0.83; η(p)(2) = 0.00). In conclusion, the multi-location assessment of external workload through a previously validated test battery will make it possible to understand the individual effect of external workload in each anatomical location that depends on the type of locomotion. These results should be considered when designing specific strategies for training and injury prevention. MDPI 2021-06-22 /pmc/articles/PMC8296836/ /pubmed/34206600 http://dx.doi.org/10.3390/s21134277 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.
Mancha-Triguero, David
Pino-Ortega, José
Ibáñez, Sergio J.
Multi-Location External Workload Profile in Women’s Basketball Players. A Case Study at the Semiprofessional-Level
title Multi-Location External Workload Profile in Women’s Basketball Players. A Case Study at the Semiprofessional-Level
title_full Multi-Location External Workload Profile in Women’s Basketball Players. A Case Study at the Semiprofessional-Level
title_fullStr Multi-Location External Workload Profile in Women’s Basketball Players. A Case Study at the Semiprofessional-Level
title_full_unstemmed Multi-Location External Workload Profile in Women’s Basketball Players. A Case Study at the Semiprofessional-Level
title_short Multi-Location External Workload Profile in Women’s Basketball Players. A Case Study at the Semiprofessional-Level
title_sort multi-location external workload profile in women’s basketball players. a case study at the semiprofessional-level
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8296836/
https://www.ncbi.nlm.nih.gov/pubmed/34206600
http://dx.doi.org/10.3390/s21134277
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