RT journal article
T1 Prediction of Performance in a Short Trail Running Race: The Role of Body Composition
A1 Alvero-Cruz, José Ramón
A1 Parent Mathias, Verónica
A1 García Romero, Jerónimo
A1 Carrillo de Albornoz-Gil, Margarita
A1 Benítez-Porres, Javier
A1 Ordóñez Muñoz, Francisco Javier
A1 Rosemann, Thomas
A1 Nikolaidis, Pantelis T.
A1 Knechtle, Beat
A2 Anatomía y Embriología Humana
K1 maximal oxygen uptake
K1 fat mass
K1 skeletal muscle mass
K1 short trail running
K1 performance prediction
AB The aim of the present study was to examine the role of the classical physiological model of endurance running performance - maximal oxygen uptake (VO(2)max), %VO(2)max 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 VO(2)max, vVO(2)max, 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 vVO(2)max (P = 0.005) and VO(2)max (P = 0.007) is correlated to race time. Multiple regression models for VO(2)max accounted for 57% of the total variance. The vVO(2)max model variable accounted for 60% and the fat mass model for 59.5%. Finally, the combined VO(2)max 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 x VO(2)max + 10.2816 x Fat mass%" (R-2 = 0.839, SEE = 11.1 min, and P = 0.0007). The classical variable VO(2)max together with fat mass percent are two strong predictors for short trail running performance.
PB FRONTIERS MEDIA SA
SN 1664-042X
YR 2019
FD 2019-10
LK http://hdl.handle.net/10498/21972
UL http://hdl.handle.net/10498/21972
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 12-nov-2026