Anthropometric and fitness profile of high-level basketball, handball and volleyball players
Objective: The aim of this study was to compare several anthropometric and physiological variables between high-level basketball, handball and volleyball players. Method: Forty-six Spanish first division professional players took part in our study. Height, standing reach, body weight, body fat perce...
| Autores: | , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2018 |
| País: | España |
| Institución: | UVic-UCC |
| Repositorio: | RiUVic. Repositori institucional de la UVic-UCC |
| OAI Identifier: | oai:dspace.uvic.cat:10854/5366 |
| Acceso en línea: | http://hdl.handle.net/10854/5366 https://doi.org/10.1016/j.ramd.2016.03.002 |
| Access Level: | acceso abierto |
| Palabra clave: | Esportistes -- Fisiologia Jocs d'equip |
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Anthropometric and fitness profile of high-level basketball, handball and volleyball playersPeña López, JavierMoreno-Doutres, DanielComa Bau, JordiCook, M.Buscà, BernatEsportistes -- FisiologiaJocs d'equipObjective: The aim of this study was to compare several anthropometric and physiological variables between high-level basketball, handball and volleyball players. Method: Forty-six Spanish first division professional players took part in our study. Height, standing reach, body weight, body fat percentages (by using Jackson & Pollock equation), vertical jumps (assessed by Bosco tests), 4 m × 5 m agility test and maximal power output in a bench press exercise were assessed. Results: A one-way ANOVA, showed that basketball players had significant higher average height and standing reach values (p < 0.01) while volleyball players displayed the lowest body mass and handball players presented the highest body mass values. Body fat percentage was significantly lower (p < 0.05) in basketball and volleyball. Jump levels were significantly better in volleyball for the countermovement (p < 0.05) and the countermovement jump with arm swing (p < 0.001). Results of the agility test were significantly better in basketball (p ≤ 0.01). In the concentric actions of maximal power tests basketball players obtained a higher mean power output for all loads (p < 0.05). In the eccentric phase volleyball players presented the lower outcome (p < 0.001). Conclusions: There is evidence of anthropometric and physiological differences among the high-level team sports analyzed. Its assessment seems capital for the improvement of training strategies and accurate talent identification processes.ElsevierUniversitat de Vic - Universitat Central de Catalunya. Facultat d'Educació, Traducció i Ciències Humanes2018201820182018info:eu-repo/semantics/articleinfo:eu-repo/publishedVersionapplication/pdf6 p.application/pdfhttp://hdl.handle.net/10854/5366https://doi.org/10.1016/j.ramd.2016.03.002reponame:RiUVic. Repositori institucional de la UVic-UCCinstname:UVic-UCCInglésAquest document està subjecte a aquesta llicència Creative Commonshttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:dspace.uvic.cat:10854/53662026-06-07T19:15:21Z |
| dc.title.none.fl_str_mv |
Anthropometric and fitness profile of high-level basketball, handball and volleyball players |
| title |
Anthropometric and fitness profile of high-level basketball, handball and volleyball players |
| spellingShingle |
Anthropometric and fitness profile of high-level basketball, handball and volleyball players Peña López, Javier Esportistes -- Fisiologia Jocs d'equip |
| title_short |
Anthropometric and fitness profile of high-level basketball, handball and volleyball players |
| title_full |
Anthropometric and fitness profile of high-level basketball, handball and volleyball players |
| title_fullStr |
Anthropometric and fitness profile of high-level basketball, handball and volleyball players |
| title_full_unstemmed |
Anthropometric and fitness profile of high-level basketball, handball and volleyball players |
| title_sort |
Anthropometric and fitness profile of high-level basketball, handball and volleyball players |
| dc.creator.none.fl_str_mv |
Peña López, Javier Moreno-Doutres, Daniel Coma Bau, Jordi Cook, M. Buscà, Bernat |
| author |
Peña López, Javier |
| author_facet |
Peña López, Javier Moreno-Doutres, Daniel Coma Bau, Jordi Cook, M. Buscà, Bernat |
| author_role |
author |
| author2 |
Moreno-Doutres, Daniel Coma Bau, Jordi Cook, M. Buscà, Bernat |
| author2_role |
author author author author |
| dc.contributor.none.fl_str_mv |
Universitat de Vic - Universitat Central de Catalunya. Facultat d'Educació, Traducció i Ciències Humanes |
| dc.subject.none.fl_str_mv |
Esportistes -- Fisiologia Jocs d'equip |
| topic |
Esportistes -- Fisiologia Jocs d'equip |
| description |
Objective: The aim of this study was to compare several anthropometric and physiological variables between high-level basketball, handball and volleyball players. Method: Forty-six Spanish first division professional players took part in our study. Height, standing reach, body weight, body fat percentages (by using Jackson & Pollock equation), vertical jumps (assessed by Bosco tests), 4 m × 5 m agility test and maximal power output in a bench press exercise were assessed. Results: A one-way ANOVA, showed that basketball players had significant higher average height and standing reach values (p < 0.01) while volleyball players displayed the lowest body mass and handball players presented the highest body mass values. Body fat percentage was significantly lower (p < 0.05) in basketball and volleyball. Jump levels were significantly better in volleyball for the countermovement (p < 0.05) and the countermovement jump with arm swing (p < 0.001). Results of the agility test were significantly better in basketball (p ≤ 0.01). In the concentric actions of maximal power tests basketball players obtained a higher mean power output for all loads (p < 0.05). In the eccentric phase volleyball players presented the lower outcome (p < 0.001). Conclusions: There is evidence of anthropometric and physiological differences among the high-level team sports analyzed. Its assessment seems capital for the improvement of training strategies and accurate talent identification processes. |
| publishDate |
2018 |
| dc.date.none.fl_str_mv |
2018 2018 2018 2018 |
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info:eu-repo/semantics/article info:eu-repo/publishedVersion |
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article |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10854/5366 https://doi.org/10.1016/j.ramd.2016.03.002 |
| url |
http://hdl.handle.net/10854/5366 https://doi.org/10.1016/j.ramd.2016.03.002 |
| dc.language.none.fl_str_mv |
Inglés |
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Inglés |
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Aquest document està subjecte a aquesta llicència Creative Commons http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/openAccess |
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Aquest document està subjecte a aquesta llicència Creative Commons http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
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openAccess |
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application/pdf 6 p. application/pdf |
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Elsevier |
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Elsevier |
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reponame:RiUVic. Repositori institucional de la UVic-UCC instname:UVic-UCC |
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UVic-UCC |
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RiUVic. Repositori institucional de la UVic-UCC |
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RiUVic. Repositori institucional de la UVic-UCC |
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