Skip to main content
. 2012 Dec;3(4):247–256. doi: 10.5812/asjsm.34547

Table 3.

Associations between significant characteristics after bi-variate analysis and race time for the master half-marathoners, master marathoners and 100-km master ultra-marathoners using multiple linear regression analysis after removing the age variable

Group β SE P Value
Half-marathoners(n=103) Skeletal muscle mass -0.3 0.3 0.3
Percentage of body fat 0.9 0.3 0.0003
Weekly running hours 0.6 0.8 0.4
Weekly running kilometres -0.3 0.08 0.002
Speed in running training -4.3 0.8 < 0.0001
Marathoners(n=91) Skeletal muscle mass 0.9 0.7 0.2
Percentage of body fat 2.2 0.6 0.0008
Weekly running hours 0.8 1.3 0.5
Weekly running kilometres -0.2 0.1 0.2
Speed in running training -11.9 1.7 < 0.0001
100-km ultra-marathoners(n=155) Skeletal muscle mass -0.7 2.1 0.8
Percentage of body fat 10.5 2.0 < 0.0001
Weekly running hours 0.05 2.0 0.9
Weekly running kilometres -1.6 0.4 < 0.0001
Speed in running training -3.0 4.2 0.5

β = regression coefficient; SE = standard error of the regression coefficient. The coefficient of determination (r 2) of the model was 0.48 for master half-marathoners, 0.45 for master marathoners, and 0.36 for master ultra-marathoners, respectively