Determinants of 1500-m Front-Crawl Swimming Performance in Triathletes: Influence of Physiological and Biomechanical Variables
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Título: | Determinants of 1500-m Front-Crawl Swimming Performance in Triathletes: Influence of Physiological and Biomechanical Variables |
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Autor/es: | López-Belmonte, Óscar | Ruiz-Navarro, Jesús J. | Gay, Ana | Cuenca-Fernández, Francisco | Cejuela, Roberto | Arellano, Raúl |
Grupo/s de investigación o GITE: | Sport Coaching and Performance Research Group (SCAPE) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Didáctica General y Didácticas Específicas |
Palabras clave: | Triathlon | Oxygen uptake | Biomechanics | Energetic | Elite level |
Fecha de publicación: | 9-sep-2023 |
Editor: | Human Kinetics |
Cita bibliográfica: | International Journal of Sports Physiology and Performance. 2023, 18(11): 1328-1335. https://doi.org/10.1123/ijspp.2023-0157 |
Resumen: | Purpose: To analyze the associations between physiological and biomechanical variables with the FINA (International Swimming Federation) points (ie, swimming performance) obtained in 1500-m front-crawl swimming to determine whether these variables can be used to explain triathletes’ FINA points. Methods: Fourteen world-class, international and national triathletes (10 male: 23.24 [3.70] y and 4 female: 23.36 [3.76] y) performed a 1500-m front-crawl swimming test in a short-course pool. Heart rate (HR), oxygen uptake ( ˙VO2 ), and blood lactate concentrations were obtained before and after the test. HR was also measured during the effort. Highest ˙VO2 value ( ˙VO2peak ) was estimated by extrapolation. Clean swimming speed, turn performance, stroke rate, stroke length, and stroke index (SI) were obtained by video analysis. Results: Average 1500-m performance times were 1088 (45) seconds and 1144 (31) seconds for males and females, respectively. HR after the effort, ˙VO2peak , aerobic contributions, total energy expenditure, energy cost, and turn performance presented moderate negative associations with swimming performance (r ≈ .5). In contrast, respiratory exchange ratio, anaerobic alactic contribution, clean swimming speed, stroke length, and SI were positively related, with clean swimming speed and SI having a strong large association (r ≈ .7). A multiple stepwise regression model determined that 71% of the variance in FINA points was explained by SI and total energy expenditure, being predictors in 1500-m front-crawl swimming. Conclusions: Swimming performance in triathletes was determined by the athletes’ energy demands and biomechanical variables. Thus, coaches should develop specific technique skills to improve triathletes’ swimming efficiency. |
URI: | http://hdl.handle.net/10045/137459 |
ISSN: | 1555-0265 (Print) | 1555-0273 (Online) |
DOI: | 10.1123/ijspp.2023-0157 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2023 Human Kinetics, Inc. |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.1123/ijspp.2023-0157 |
Aparece en las colecciones: | INV - SCAPE - Artículos de Revistas |
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