Classification of Male Athletes Based on Critical Power
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http://hdl.handle.net/10045/141427
Título: | Classification of Male Athletes Based on Critical Power |
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Autor/es: | Olaya-Cuartero, Javier | Pueo, Basilio | Penichet-Tomás, Alfonso | Jimenez-Olmedo, Jose Manuel |
Grupo/s de investigación o GITE: | Salud, Actividad Física y Tecnología Deportiva (HEALTH-TECH) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Didáctica General y Didácticas Específicas |
Palabras clave: | Performance | Clustering | Linear regression | Running | Tiers | Training |
Fecha de publicación: | 10-mar-2024 |
Editor: | Georg Thieme Verlag KG |
Cita bibliográfica: | International Journal of Sports Medicine. 2024. https://doi.org/10.1055/a-2265-2303 |
Resumen: | This study aimed to classify male athletes based on their performance levels derived from running critical power (CP) using the 9/3-minute Stryd CP test, enabling customized training strategies and goal setting. Twenty-four trained athletes underwent the 9/3-minute running CP test on a certified 400-m athletics track. Hierarchical cluster analysis using Ward's method categorized athletes based on CP into distinct performance tiers. Three clusters were identified with centroids of 3.87±0.12, 4.45±0.17, and 5.14±0.29 W/kg. Five performance tiers were defined through ordinary least square linear regression based on power (W/kg): Tier 1: Fair (2.9 to 3.6 W/kg), Tier 2: Tourist (3.6 to 4.2 W/kg), Tier 3: Regional (4.2 to 4.8 W/kg), Tier 4: National (4.8 to 5.5 W/kg), Tier 5: International (5.5 to 6.1 W/kg). Low semi-partial R-squared (SpR 2) values (0.02 to 0.05) indicated minimal homogeneity loss when merging clusters. R-squared (R 2) explained 89% to 96% of CP variance, emphasizing cluster analysis effectiveness. The linear regression model demonstrated a strong fit (r 2+=+0.997) with a significant intercept (3.22 W/kg), slope (0.63 W/kg/tier), and a low standard error of estimate (0.045 W/kg). This classification offers insights into male athlete performance levels based on CP, facilitating targeted training programs for varying performance levels. |
URI: | http://hdl.handle.net/10045/141427 |
ISSN: | 0172-4622 (Print) | 1439-3964 (Online) |
DOI: | 10.1055/a-2265-2303 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2024 Thieme |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.1055/a-2265-2303 |
Aparece en las colecciones: | INV - HEALTH-TECH - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
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Olaya-Cuartero_etal_2024_IntJSportsMed_final.pdf | Versión final (acceso restringido) | 775,78 kB | Adobe PDF | Abrir Solicitar una copia |
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