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

Abstract

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.