Table 4. Data of three clusters (Good, Medium and Low Performance) consisting of subjects with significantly different racing time (clusters calculated by k-means analysis). Data are shown for variables measured during COMP. For description of variables see Table 2. Values are (means ± SD).
Data determined from Mountain Bike Competition (COMP)
Variables Cluster 1 (n = 5)
Good Performance
Cluster 2 (n = 12)
Medium Performance
Cluster 3 (n = 7)
Low Performance
Racing time (s) 3444(201) ab 3867(118) ac 4362(174) bc
Power output (W) 231(2) ab 184(17) ac 155(19) bc
Power output (W·kg-1) 3.18 (.29) ab 2.69 (.27) ac 2.26 (.31) bc
Cadence (rev·min-1) 72(9) 70(7) 69(5)
VO2COMP (ml·kg-1·min-1) 64.8 (5.0) ab 57.5 (4.2) ac 50.7 (4.3) bc
Heart rate (bpm) 165(17) 168(7) 172(19)
VE (l·min-1) 129(29) b 118(13) ac 101(14) b
RER .90 (.09) .89 (.03) .91 (.03)
BLa (mmol·l-1) 5.9 (.9) 5.9 (1.5) 6.2 (1.6)
c Medium Performance vs. Low Performance significantly different.b Good Performance vs. Low Performance significantly different.a Good Performance vs. Medium Performance significantly different.