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Effect of Number of Players and Maturity on Ball-Drills Training Load in Youth Basketball
This study aimed to assess the basketball ball-drills workload analyzing: (1) the effect of varying the number of players involved on physiological and technical demands; (2) the temporal changes in players’ responses across bouts; and (3) the relationship of players’ workload with their maturation...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5969016/ https://www.ncbi.nlm.nih.gov/pubmed/29910363 http://dx.doi.org/10.3390/sports5010003 |
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author | Conte, Daniele Favero, Terence Niederhausen, Meike Capranica, Laura Tessitore, Antonio |
author_facet | Conte, Daniele Favero, Terence Niederhausen, Meike Capranica, Laura Tessitore, Antonio |
author_sort | Conte, Daniele |
collection | PubMed |
description | This study aimed to assess the basketball ball-drills workload analyzing: (1) the effect of varying the number of players involved on physiological and technical demands; (2) the temporal changes in players’ responses across bouts; and (3) the relationship of players’ workload with their maturation status and training age. Twelve young male basketball players (mean ± SD; age 13.9 ± 0.7 years; height 1.76 ± 0.06 m; body mass 65.7 ± 12.5 kg; HR(max) 202 ± 8 beat·min(−1)) completed three bouts of 4 min interspersed by 2 min of passive recovery of two vs. two and four vs. four ball-drills. The mean percentage of HR(max) (%HR(max)) and ratings of perceived exertion (RPE) were collected. Technical actions (TAs) (dribbles, passes, shots, interceptions, steals, rebounds, and turnovers) were calculated through notational analysis. Players’ genitalia development (GD) and pubic hair (PH) growth were assessed using Tanner scale. Results showed a higher %HR(max) (p = 0.018), RPE (p = 0.042), dribbles (p = 0.007), shots (p = 0.003), and rebounds (p = 0.006) in two vs. two compared to four vs. four condition. Furthermore, a statistical difference was found for %HR(max) (p = 0.005) and number of passes (p = 0.020) between bouts. In addition, no correlation between GD, PH, and training age with %HR(max), RPE, and TAs was found. These findings suggest that variations of the number of players involved affect ball-drills workload and that ball-drills training intensity varies across bouts. Finally, ball-drills elicit an adequate training stimulus, regardless of players’ maturation status and training age. |
format | Online Article Text |
id | pubmed-5969016 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-59690162018-06-13 Effect of Number of Players and Maturity on Ball-Drills Training Load in Youth Basketball Conte, Daniele Favero, Terence Niederhausen, Meike Capranica, Laura Tessitore, Antonio Sports (Basel) Article This study aimed to assess the basketball ball-drills workload analyzing: (1) the effect of varying the number of players involved on physiological and technical demands; (2) the temporal changes in players’ responses across bouts; and (3) the relationship of players’ workload with their maturation status and training age. Twelve young male basketball players (mean ± SD; age 13.9 ± 0.7 years; height 1.76 ± 0.06 m; body mass 65.7 ± 12.5 kg; HR(max) 202 ± 8 beat·min(−1)) completed three bouts of 4 min interspersed by 2 min of passive recovery of two vs. two and four vs. four ball-drills. The mean percentage of HR(max) (%HR(max)) and ratings of perceived exertion (RPE) were collected. Technical actions (TAs) (dribbles, passes, shots, interceptions, steals, rebounds, and turnovers) were calculated through notational analysis. Players’ genitalia development (GD) and pubic hair (PH) growth were assessed using Tanner scale. Results showed a higher %HR(max) (p = 0.018), RPE (p = 0.042), dribbles (p = 0.007), shots (p = 0.003), and rebounds (p = 0.006) in two vs. two compared to four vs. four condition. Furthermore, a statistical difference was found for %HR(max) (p = 0.005) and number of passes (p = 0.020) between bouts. In addition, no correlation between GD, PH, and training age with %HR(max), RPE, and TAs was found. These findings suggest that variations of the number of players involved affect ball-drills workload and that ball-drills training intensity varies across bouts. Finally, ball-drills elicit an adequate training stimulus, regardless of players’ maturation status and training age. MDPI 2017-01-02 /pmc/articles/PMC5969016/ /pubmed/29910363 http://dx.doi.org/10.3390/sports5010003 Text en © 2017 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Conte, Daniele Favero, Terence Niederhausen, Meike Capranica, Laura Tessitore, Antonio Effect of Number of Players and Maturity on Ball-Drills Training Load in Youth Basketball |
title | Effect of Number of Players and Maturity on Ball-Drills Training Load in Youth Basketball |
title_full | Effect of Number of Players and Maturity on Ball-Drills Training Load in Youth Basketball |
title_fullStr | Effect of Number of Players and Maturity on Ball-Drills Training Load in Youth Basketball |
title_full_unstemmed | Effect of Number of Players and Maturity on Ball-Drills Training Load in Youth Basketball |
title_short | Effect of Number of Players and Maturity on Ball-Drills Training Load in Youth Basketball |
title_sort | effect of number of players and maturity on ball-drills training load in youth basketball |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5969016/ https://www.ncbi.nlm.nih.gov/pubmed/29910363 http://dx.doi.org/10.3390/sports5010003 |
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