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Is body fat a predictor of race time in female long-distance inline skaters?
Beat Knechtle1, Patrizia Knechtle, Thomas Rosemann
1Gesundheitszentrum St. Gallen, St. Gallen, Switzerland.
Purpose:
The aim of this study was to evaluate predictor variables of race time in female ultra-endurance inliners in the longest inline race in Europe.
Methods:
We investigated the association between anthropometric and training characteristics and race time for 16 female ultra-endurance inline skaters, at the longest inline marathon in Europe, the 'Inline One-eleven' over 111 km in Switzerland, using bi- and multivariate analysis.
Results:
The mean (SD) race time was 289.7 (54.6) min. The bivariate analysis showed that body height (r=0.61), length of leg (r=0.61), number of weekly inline skating training sessions (r=-0.51) and duration of each training unit (r=0.61) were significantly correlated with race time. Stepwise multiple regressions revealed that body height, duration of each training unit, and age were the best variables to predict race time.
Conclusion:
Race time in ultra-endurance inline races such as the 'Inline One-eleven' over 111 km might be predicted by the following equation (r(2)=0.65): Race time (min)=-691.62+521.71 (body height, m)+0.58 (duration of each training unit, min)+1.78 (age, yrs) for female ultra-endurance inline skaters.
