scholarly journals Relación del consumo máximo de oxígeno en diferentes modelos de planificación y su uso en el trail running

Author(s):  
Diana Marcela Casallas Guacaneme ◽  
Wilmar Esneyder Hernández Castro ◽  
José Orlando Guerrero Sánchez ◽  
Fernando Alfonso Naveros Sánchez
Keyword(s):  

El entrenamiento en bloques consiste en aplicar cargas concentradas en una o máximo dos capacidades físicas, con el propósito de maximizarlas y potenciarlas a corto tiempo cubriendo las variadas competencias. Ahora bien, el entrenamiento por medio de la planificación tradicional abarca mayores contenidos en tiempos más prolongados, alcanzando la mejora de la forma deportiva orientada hacia una sola competencia. El trail running (TR), es un deporte moderno actualmente poco estudiado, que consiste en correr por senderos, caminos y montañas, de clasificación individual y de largo aliento con similitudes de fondo, con un requerimiento mayor del desarrollo fisiológico asociado principalmente al VO2MAX. Por tanto, el objetivo de este artículo es revisar en la literatura la comparación que se pueden dar en relación con una periodización tradicional y una en bloques en cuanto a las posibles adaptaciones del VO2MAX en los deportes de resistencia de larga duración y su aplicabilidad al TR.

Author(s):  
Daniel Suter ◽  
Caio Victor Sousa ◽  
Lee Hill ◽  
Volker Scheer ◽  
Pantelis Theo Nikolaidis ◽  
...  

In recent years, there has been an increasing number of investigations analyzing the effects of sex, performance level, and age on pacing in various running disciplines. However, little is known about the impact of those factors on pacing strategies in ultramarathon trail running. This study investigated the effects of age, sex, and performance level on pacing in the UTMB® (Ultra-trail du Mont Blanc) and aimed to verify previous findings obtained in the research on other running disciplines and other ultramarathon races. Data from the UTMB® from 2008 to 2019 for 13,829 race results (12,681 men and 1148 women) were analyzed. A general linear model (two-way analysis of variance (ANOVA)) was applied to identify a sex, age group, and interaction effect in pace average and pace variation. A univariate model (one-way ANOVA) was used to identify a sex effect for age, pace average, and pace variation for the fastest men and women. In our study, pace average and a steadier pace were positively correlated. Even pacing throughout the UTMB® correlated with faster finishing times. The average pace depended significantly on sex and age group. When considering the top five athletes in each age group, sex and age group also had significant effects on pace variation. The fastest women were older than the fastest men, and the fastest men were faster than the fastest women. Women had a higher pace variation than men. In male competitors, younger age may be advantageous for a successful finish of the UTMB®. Faster male runners seemed to be younger in ultramarathon trail running with large changes in altitude when compared to other distances and terrains.


2021 ◽  
Vol 11 (5) ◽  
pp. 2093
Author(s):  
Noé Perrotin ◽  
Nicolas Gardan ◽  
Arnaud Lesprillier ◽  
Clément Le Goff ◽  
Jean-Marc Seigneur ◽  
...  

The recent popularity of trail running and the use of portable sensors capable of measuring many performance results have led to the growth of new fields in sports science experimentation. Trail running is a challenging sport; it usually involves running uphill, which is physically demanding and therefore requires adaptation to the running style. The main objectives of this study were initially to use three “low-cost” sensors. These low-cost sensors can be acquired by most sports practitioners or trainers. In the second step, measurements were taken in ecological conditions orderly to expose the runners to a real trail course. Furthermore, to combine the collected data to analyze the most efficient running techniques according to the typology of the terrain were taken, as well on the whole trail circuit of less than 10km. The three sensors used were (i) a Stryd sensor (Stryd Inc. Boulder CO, USA) based on an inertial measurement unit (IMU), 6 axes (3-axis gyroscope, 3-axis accelerometer) fixed on the top of the runner’s shoe, (ii) a Global Positioning System (GPS) watch and (iii) a heart belt. Twenty-eight trail runners (25 men, 3 women: average age 36 ± 8 years; height: 175.4 ± 7.2 cm; weight: 68.7 ± 8.7 kg) of different levels completed in a single race over a 8.5 km course with 490 m of positive elevation gain. This was performed with different types of terrain uphill (UH), downhill (DH), and road sections (R) at their competitive race pace. On these sections of the course, cadence (SF), step length (SL), ground contact time (GCT), flight time (FT), vertical oscillation (VO), leg stiffness (Kleg), and power (P) were measured with the Stryd. Heart rate, speed, ascent, and descent speed were measured by the heart rate belt and the GPS watch. This study showed that on a ≤10 km trail course the criteria for obtaining a better time on the loop, determined in the test, was consistency in the effort. In a high percentage of climbs (>30%), two running techniques stand out: (i) maintaining a high SF and a short SL and (ii) decreasing the SF but increasing the SL. In addition, it has been shown that in steep (>28%) and technical descents, the average SF of the runners was higher. This happened when their SL was shorter in lower steep and technically challenging descents.


2015 ◽  
Vol 116 (8) ◽  
pp. 1284-1289 ◽  
Author(s):  
Romain Jouffroy ◽  
Vincent Caille ◽  
Stéphane Perrot ◽  
Antoine Vieillard-Baron ◽  
Olivier Dubourg ◽  
...  

2022 ◽  
pp. bjsports-2021-104858
Author(s):  
Carel Viljoen ◽  
Dina C (Christa) Janse van Rensburg ◽  
Willem van Mechelen ◽  
Evert Verhagen ◽  
Bruno Silva ◽  
...  

ObjectiveTo review and frequently update the available evidence on injury risk factors and epidemiology of injury in trail running.DesignLiving systematic review. Updated searches will be done every 6 months for a minimum period of 5 years.Data sourcesEight electronic databases were searched from inception to 18 March 2021.Eligibility criteriaStudies that investigated injury risk factors and/or reported the epidemiology of injury in trail running.ResultsNineteen eligible studies were included, of which 10 studies investigated injury risk factors among 2 785 participants. Significant intrinsic factors associated with injury are: more running experience, level A runner and higher total propensity to sports accident questionnaire (PAD-22) score. Previous history of cramping and postrace biomarkers of muscle damage is associated with cramping. Younger age and low skin phototypes are associated with sunburn. Significant extrinsic factors associated with injury are neglecting warm-up, no specialised running plan, training on asphalt, double training sessions per day and physical labour occupations. A slower race finishing time is associated with cramping, while more than 3 hours of training per day, shade as the primary mode of sun protection and being single are associated with sunburn. An injury incidence range 0.7–61.2 injuries/1000 hours of running and prevalence range 1.3% to 90% were reported. The lower limb was the most reported region of injury, specifically involving blisters of the foot/toe.ConclusionLimited studies investigated injury risk factors in trail running. Our review found eight intrinsic and nine extrinsic injury risk factors. This review highlighted areas for future research that may aid in designing injury risk management strategies for safer trail running participation.PROSPERO registration numberCRD42021240832.


2012 ◽  
Vol 14 (2) ◽  
pp. 144-150 ◽  
Author(s):  
Fabrice Vercruyssen ◽  
Christopher Easthope ◽  
Thierry Bernard ◽  
Christophe Hausswirth ◽  
Francois Bieuzen ◽  
...  

Author(s):  
Simon J. de Waal ◽  
Josu Gomez-Ezeiza ◽  
Rachel E. Venter ◽  
Robert P. Lamberts

Purpose: To provide a systematic overview of physiological parameters used to determine the training status of a trail runner and how well these parameters correlate with real-world trail running performance. Method: An electronic literature search of the PubMed and Scopus digital databases was performed. Combinations of the terms “trail run” or “trail runner” or “trail running” and “performance” were used as search terms. Seven studies met the inclusion criteria. Results: Trail running performance most commonly correlated (mean [SD]) with maximal aerobic capacity (71%; r = −.50 [.32]), lactate threshold (57%; r = −.48 [.28]), velocity at maximal aerobic capacity (43%; r = −.68 [.08]), running economy (43%; r = −.31 [.22]), body fat percentage (43%; r = .55 [.21]), and age (43%; r = .52 [.14]). Regression analyses in 2 studies were based on a single variable predicting 48% to 60% of performance variation, whereas 5 studies included multiple variable regression analyses predicting 48% to 99% of performance variation. Conclusions: Trail running performance is multifaceted. The classic endurance model shows a weaker association with performance in trail running than in road running. Certain variables associated with trail running research (such as testing procedures, race profiles, and study participants) hinder the execution of comparative studies. Future research should employ trail-specific testing protocols and clear, objective descriptions of both the race profile and participants’ training status.


2019 ◽  
Vol 11 (4) ◽  
pp. 36-42 ◽  
Author(s):  
Albertus Oosthuizen Istvan ◽  
Paul Yvonne ◽  
Jeremy Ellapen Terry ◽  
Barnard Marco ◽  
Bongani Qumbu Timothy ◽  
...  

2019 ◽  
Vol 80 ◽  
pp. 238-247 ◽  
Author(s):  
Nadège Rochat ◽  
Denis Hauw ◽  
Ludovic Seifert
Keyword(s):  

2018 ◽  
Vol 29 (3) ◽  
pp. 422-432 ◽  
Author(s):  
Sai-Leung Ng ◽  
Yu-Fai Leung ◽  
Suet-Yi Cheung ◽  
Wei Fang

Sign in / Sign up

Export Citation Format

Share Document