2026-05-30T22:23:23Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/293702026-02-03T11:22:52Zcom_10630_2254col_10630_37953
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Alvero-Cruz, José Ramón
author
Parent-Mathias, Verónica
author
García-Romero, Jerónimo
author
Carrillo-de-Albornoz, Margarita
author
Benítez-Porres, Javier
author
Ordóñez, Francisco Javier
author
Rosemann, Thomas
author
Nikolaidis, Pantelis T.
author
Knechtle, Beat
2024-01-30T10:35:45Z
2024-01-30T10:35:45Z
2019-10-16
Alvero-Cruz JR, Parent Mathias V, Garcia Romero J, Carrillo de Albornoz-Gil M, Benítez-Porres J, Ordoñez FJ, Rosemann T, Nikolaidis PT and Knechtle B (2019) Prediction of Performance in a Short Trail Running Race: The Role of Body Composition. Front. Physiol.
https://hdl.handle.net/10630/29370
10.3389/fphys.2019.01306
The aim of the present study was to examine the role of the classical physiological model of endurance running performance – maximal oxygen uptake (VO2max), %VO2max at ventilatory thresholds (VT), work economy, lactate levels, and body composition on the prediction of short trail running performance. Eleven male trail runners (age 36.1 ± 6.5 years, sport experience 6.6 ± 3.8 years, and mean ± standard deviation) were examined for fat mass and skeletal muscle mass, and performed a graded exercise test to measure VO2max, vVO2max, and VT. Also, they participated in a short 27 km trail run with a positive elevation of +1750 m. Age, years of training and skeletal muscle mass did not correlate with race time (P > 0.05), and fat mass and body mass index (BMI) showed significant correlations with race time (P < 0.05). Heart rate, velocity and VT1 and VT2 were not associated with race time (P > 0.05). Only vVO2max (P = 0.005) and VO2max (P = 0.007) is correlated to race time. Multiple regression models for VO2max accounted for 57% of the total variance. The vVO2max model variable accounted for 60% and the fat mass model for 59.5%. Finally, the combined VO2max and fat mass model explained 83.9% of the total variance (P < 0.05 in all models). The equation for this model is “race time (min) = 203.9956−1.9001 × VO2max + 10.2816 × Fat mass%” (R2 = 0.839, SEE = 11.1 min, and P = 0.0007). The classical variable VO2max together with fat mass percent are two strong predictors for short trail running performance. © Copyright © 2019 Alvero-Cruz, Parent Mathias, Garcia Romero, Carrillo de Albornoz-Gil, Benítez-Porres, Ordoñez, Rosemann, Nikolaidis and Knechtle.
eng
Atribución 4.0 Internacional
Carreras (Atletismo)
Ejercicio físico - Aspectos fisiológicos
Prediction of Performance in a Short Trail Running Race: The Role of Body Composition.
journal article
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694193
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