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Prediction of Performance in a Short Trail Running Race: The Role of Body Composition

2019; Frontiers Media; Volume: 10; Linguagem: Inglês

10.3389/fphys.2019.01306

1664-042X

José Ramón Alvero‐Cruz, Verónica Parent Mathias, Jerónimo García-Romero, Margarita Carrillo de Albornoz Gil, Javier Benítez‐Porres, Francisco Javier Ordóñez, Thomas Rosemann, Pantelis Τ. Nikolaidis, Beat Knechtle,

Cardiovascular and exercise physiology

The aim of the present study was to examine the role of of the classical physiological model of endurance running performance - maximal oxygen uptake (VO2max), %VO2max at ventilatory thresholds (VT), and 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, mean ± standard deviation) were examined for fat mass and skeletal muscle mass, and performed a graded exercise test to measure VO2max, vVO2max and ventilatory thresholds. 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). Fat mass and body mass index showed significant correlations with race time (P0.05). Only vVO2max (P=0.005) and VO2max (P=0.007) showed significant correlations. 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, P = 0.0007). The multiple regression model that includes VO2max and fat mass percentage most accurately predicted short trail running performance