Short Trail Running Race

Ehrström, Sabine; Tartaruga, Marcus Peikriszwili; Easthope, Chris; Brisswalter, Jeanick; Morin, Jean-Benoı̂t; Vercruyssen, Fabrice

doi:10.1249/mss.0000000000001467

Cited by 39 publications

(47 citation statements)

References 32 publications

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“…relation with performance of V VT1 and VO 2 peak was larger among women; whereas the magnitude of the correlation with performance of V peak was larger among men. The significant association found between VO 2 peak and performance coincides with most of previous research in the field [3,[5][6][7], although not all [8]. Besides, our results highlight a large association between race time and V VT1 and V VT2 .…”

Section: Discussionsupporting

confidence: 90%

“…The predictive strength of our performance model (55 % for the whole sample, 66 % for the men sample set and 69 % for the women sample set) matches Fornasiero et al [7] results in a 65-km trail race, but it is lower than those previously reported in shorter trail running races (between 27 and 31 km) [3,6,8]. Consequently, it could be argued that finishing times are less predictable from laboratory variables in UT races as compared with shorter trail running races.…”

Section: Discussionsupporting

confidence: 83%

“…Indeed, controversy remains regarding the importance of running economy (i. e., energy demand for a given velocity of submaximal running) upon trail running performance [11,12], with some authors reporting a correlation to race time [8,13] while others do not [4][5][6]. In addition, the importance of substrate utilization is being increasingly emphasized to predict endurance performance [14,15].…”

Section: Ultra Trail Performance Is Differently Predicted By Endurancmentioning

confidence: 99%

“…It is therefore of interest for athletes and coaches to identify those factors that play a critical role in performance in order to improve training strategies and competition results. Previous studies have explored possible factors related with race time in trail running races ranging from 21 km to 75 km [3][4][5][6][7][8]. It remains unclear, however, whether the classical physiological variables of endurance running performance (i. e., maximal oxygen uptake, ventilatory thresholds) [9] hold for longer trail running races (i. e., > 100 km).…”

Section: Introductionmentioning

confidence: 99%

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Ultra Trail Performance is Differently Predicted by Endurance Variables in Men and Women

et al. 2020

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The study aimed to assess the relationship between peak oxygen uptake, ventilatory thresholds and maximal fat oxidation with ultra trail male and female performance. 47 athletes (29 men and 18 women) completed a cardiopulmonary exercise test between 2 to 4 weeks before a 107-km ultra trail. Body composition was also analyzed using a bioelectrical impedance weight scale. Exploratory correlation analyses showed that peak oxygen uptake (men: r=–0.63, p=0.004; women: r=–0.85, p < 0.001), peak speed (men: r=–0.74, p < 0.001; women: r=–0.69, p=0.009), speed at first (men: r=–0.49, p=0.035; women: r=–0.76, p=0.003) and second (men: r=–0.73, p < 0.001; women: r=–0.76, p=0.003) ventilatory threshold, and maximal fat oxidation (men: r=–0.53, p=0.019; women: r=–0.59, p=0.033) were linked to race time in male and female athletes. Percentage of fat mass (men: r=0.58, p=0.010; women: r=0.62, p= 0.024) and lean body mass (men: r=–0.61, p=0.006; women: r=–0.61, p=0.026) were also associated with performance in both sexes. Subsequent multiple regression analyses revealed that peak speed and maximal fat oxidation together were able to predict 66% of male performance; while peak oxygen uptake was the only statistically significant variable explaining 69% of the variation in women’s race time. These results, although exploratory in nature, suggest that ultra trail performance is differently predicted by endurance variables in men and women.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionsupporting

confidence: 83%

Section: Ultra Trail Performance Is Differently Predicted By Endurancmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Ultra Trail Performance is Differently Predicted by Endurance Variables in Men and Women

et al. 2020

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“…Trying to find possible related factors, the systematic review conducted by Ikeda et al (2018) found positive associations between ACS and perceptions of safety, walkability and neighborhood social interaction, but any relationship in the average slope in the ACS at school was found. In this regard, it has been shown that sections with an average slope are characterized by producing internal mechanical work, involving greater muscular activity and increasing the linear energy demand (Ehrström et al, 2017;Vernillo et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Relationship between the average slope in the active commuting to and from school and fitness in adolescents: the mediator role of fatness

Miguel

Oliva

Vaquero-Solís

et al. 2020

PeerJ

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Active commuting to and from school (ACS) has been recognized as a potential tool to improve physical fitness. Thus, this study aims to test the relationships between the average slope in the ACS and physical fitness, as well as to verify the mediator role of fatness in the relationship between average slope and physical fitness. A total of 257 participants, 137 boys and 120 girls, from 22 schools belonged to first and second High School grades participated in this study. Based on self-reported measure and Google Earth, participants were grouped into the active commuter (number of trips was ≥5, and the time of the trip was ≥15 min), mixed commuter (number of weekly trips was <5, and the time spent on the trip was <15 min) and passive commuter groups (those who reported traveling regularly by car, motorcycle, or bus). Specifically, in the active commuter group, a positive association between the average slope in the ACS with fatness was found, which in turn was positively related to strength lower limbs and cardiorrespiratory fitness. The average slope was not significantly associated with physical fitness indicators. Furtheremore, fatness did not mediate the relathionship between average slope and physical fitness. This research concluded positive associations between average slope and the body fat in the ACS. The tendency of findings signal that the average slope should be taken into account along with the distance, time and frequency of the active commuting.

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Degradation of energy cost with fatigue induced by trail running: effect of distance

et al. 2021

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Short Trail Running Race

Abstract: The classic endurance running model does not allow for meaningful prediction of short TR performance. Incorporating more specific factors into TR such as local endurance and gradient-specific RE testing procedures should be considered to better characterize short TR performance.

Cited by 39 publications

References 32 publications

Ultra Trail Performance is Differently Predicted by Endurance Variables in Men and Women

Ultra Trail Performance is Differently Predicted by Endurance Variables in Men and Women

Relationship between the average slope in the active commuting to and from school and fitness in adolescents: the mediator role of fatness

Degradation of energy cost with fatigue induced by trail running: effect of distance

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