Crucial workload variables in female-male elite Brazilian Beach Handball: An exploratory factor analysis

This study aimed to identify the most important variables of male and female beach handball workload demands and compare them by sex. A total of 92 elite Brazilian beach handball players (54 male: age 22.1 ± 2.6 years, height 1.8 ± 0.5 m, weight 77.6 ± 13.4 kg; and 38 female: age 24.4 ± 5.5 years, h...

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Autores principales: Gómez-Carmona, Carlos D., Rojas-Valverde, Daniel, Rico-González, Markel, De Oliveira, Vinicius C., Lemos, Luis, Martins, Clarice, Nakamura, Fabio Y., Pino-Ortega, José
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Institute of Sport in Warsaw 2022
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10108747/
https://www.ncbi.nlm.nih.gov/pubmed/37077792
http://dx.doi.org/10.5114/biolsport.2023.114285
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author Gómez-Carmona, Carlos D.
Rojas-Valverde, Daniel
Rico-González, Markel
De Oliveira, Vinicius C.
Lemos, Luis
Martins, Clarice
Nakamura, Fabio Y.
Pino-Ortega, José
author_facet Gómez-Carmona, Carlos D.
Rojas-Valverde, Daniel
Rico-González, Markel
De Oliveira, Vinicius C.
Lemos, Luis
Martins, Clarice
Nakamura, Fabio Y.
Pino-Ortega, José
author_sort Gómez-Carmona, Carlos D.
collection PubMed
description This study aimed to identify the most important variables of male and female beach handball workload demands and compare them by sex. A total of 92 elite Brazilian beach handball players (54 male: age 22.1 ± 2.6 years, height 1.8 ± 0.5 m, weight 77.6 ± 13.4 kg; and 38 female: age 24.4 ± 5.5 years, height 1.7 ± 0.5 m, weight 67.5 ± 6.5 kg) were analyzed in 24 official matches during a four-day congested tournament. From 250 variables measured by the inertial measurement unit, fourteen were extracted for analysis using Principal Component Analysis as selection criteria. Five Principal Components (PC) were extracted that explained 81.2–82.8% of total variance (overview of workload demands during beach handball). Specifically, 36.2–39.3% was explained by PC1 (Distance(Expl), Distance, Distance(4–7 km/h), and Acc), 15–18% by PC2 (Acc(Max), Acc(3–4 m/s), Dec(4–3 m/s)), 10.7–12.9% by PC3 (Jumps(Avg) Take-Off, Jumps(Avg) Landing and PL(RT)), 8–9.4% by PC4 (Distance(> 18.1 km/h), Speed(Max)), and 6.7–7.7% by PC5 (HR(Avg) and Step Balance). Sex-related differences were found in the PC distribution of variables, as well as in selected variables (HR(Avg), Dec(4–3 m/s), Acc(3–4 m/s), Jumps(Avg) Take-Off, Jumps(Avg) Landing, Acc(Max), Distance, Distance(4–7 km/h), Acc, Speed(Max)) with higher values in male players (p < .05). In conclusion, the sex-related PC distribution and workload demands in beach handball should consider for training design and injury prevention programs.
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spelling pubmed-101087472023-04-18 Crucial workload variables in female-male elite Brazilian Beach Handball: An exploratory factor analysis Gómez-Carmona, Carlos D. Rojas-Valverde, Daniel Rico-González, Markel De Oliveira, Vinicius C. Lemos, Luis Martins, Clarice Nakamura, Fabio Y. Pino-Ortega, José Biol Sport Original Paper This study aimed to identify the most important variables of male and female beach handball workload demands and compare them by sex. A total of 92 elite Brazilian beach handball players (54 male: age 22.1 ± 2.6 years, height 1.8 ± 0.5 m, weight 77.6 ± 13.4 kg; and 38 female: age 24.4 ± 5.5 years, height 1.7 ± 0.5 m, weight 67.5 ± 6.5 kg) were analyzed in 24 official matches during a four-day congested tournament. From 250 variables measured by the inertial measurement unit, fourteen were extracted for analysis using Principal Component Analysis as selection criteria. Five Principal Components (PC) were extracted that explained 81.2–82.8% of total variance (overview of workload demands during beach handball). Specifically, 36.2–39.3% was explained by PC1 (Distance(Expl), Distance, Distance(4–7 km/h), and Acc), 15–18% by PC2 (Acc(Max), Acc(3–4 m/s), Dec(4–3 m/s)), 10.7–12.9% by PC3 (Jumps(Avg) Take-Off, Jumps(Avg) Landing and PL(RT)), 8–9.4% by PC4 (Distance(> 18.1 km/h), Speed(Max)), and 6.7–7.7% by PC5 (HR(Avg) and Step Balance). Sex-related differences were found in the PC distribution of variables, as well as in selected variables (HR(Avg), Dec(4–3 m/s), Acc(3–4 m/s), Jumps(Avg) Take-Off, Jumps(Avg) Landing, Acc(Max), Distance, Distance(4–7 km/h), Acc, Speed(Max)) with higher values in male players (p < .05). In conclusion, the sex-related PC distribution and workload demands in beach handball should consider for training design and injury prevention programs. Institute of Sport in Warsaw 2022-06-01 2023-04 /pmc/articles/PMC10108747/ /pubmed/37077792 http://dx.doi.org/10.5114/biolsport.2023.114285 Text en Copyright © Biology of Sport 2023 https://creativecommons.org/licenses/by-sa/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Share Alike 4.0 License, allowing third parties to copy and redistribute the material in any medium or format and remix, transform, and build upon the material for any purpose, even commercially, provided the original work is properly cited and states its license.
spellingShingle Original Paper
Gómez-Carmona, Carlos D.
Rojas-Valverde, Daniel
Rico-González, Markel
De Oliveira, Vinicius C.
Lemos, Luis
Martins, Clarice
Nakamura, Fabio Y.
Pino-Ortega, José
Crucial workload variables in female-male elite Brazilian Beach Handball: An exploratory factor analysis
title Crucial workload variables in female-male elite Brazilian Beach Handball: An exploratory factor analysis
title_full Crucial workload variables in female-male elite Brazilian Beach Handball: An exploratory factor analysis
title_fullStr Crucial workload variables in female-male elite Brazilian Beach Handball: An exploratory factor analysis
title_full_unstemmed Crucial workload variables in female-male elite Brazilian Beach Handball: An exploratory factor analysis
title_short Crucial workload variables in female-male elite Brazilian Beach Handball: An exploratory factor analysis
title_sort crucial workload variables in female-male elite brazilian beach handball: an exploratory factor analysis
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10108747/
https://www.ncbi.nlm.nih.gov/pubmed/37077792
http://dx.doi.org/10.5114/biolsport.2023.114285
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