Tactical Strategy of Elite Runners Participating in Ice Ultra 2023: A Cross-Sectional Study
Introduction: Rhythm strategies in running competitions have been studied at different distances and different routes and reliefs. However, the application of these strategies in ultramarathons, especially in extreme weather conditions, remains poorly understood. Objective: To investigate the runnin...
| Autores: | , , , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | Brasil |
| Institución: | Centro de Capacitação Física do Exército (CCFEX) |
| Repositorio: | Revista de Educação Física |
| Idioma: | portugués |
| OAI Identifier: | oai:ojs.revistadeeducacaofisica.emnuvens.com.br:article/2966 |
| Acceso en línea: | https://revistadeeducacaofisica.emnuvens.com.br/revista/article/view/2966 |
| Access Level: | acceso abierto |
| Palabra clave: | ultramaratona corrida treinamento físico desempenho resistência ultramarathon running physical trainning performance endurance |
| Sumario: | Introduction: Rhythm strategies in running competitions have been studied at different distances and different routes and reliefs. However, the application of these strategies in ultramarathons, especially in extreme weather conditions, remains poorly understood. Objective: To investigate the running strategies of ultramarathoners in competitions held under extreme cold and snowy weather conditions. Methods: Observational, cross-sectional, secondary data study with the participation of 31 Ice Ultra 2023 athletes who covered approximately 225 km over five consecutive days, facing stages of different distances. The data collected included demographic information, race time, pace and speed of the runners. Based on performance, participants were divided into three groups (Top 3, Top 10, and Top 20). Results: 70.9% finished the race, with an average completion time of 40:39±9:38h:min. A progressive running strategy was observed throughout the days of competition, a negative pace profile during the second stage. The top three finishers were faster in all stages when compared to the top 10 and top 20 (p<0.0001). There was a significant decrease in speed between stages 1 and 2 (Δ Top 3: 2.23±0.14km/h; Δ Top10: 2.11±0.15km/h; Δ Top20: 1.19±0.18km/h) related to geographical relief. Conclusion: The most successful runners are able to adjust their pace more effectively according to the demands of each stage of the race, adapting better regardless of extreme cold conditions. |
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