Title of article :
Is Body Fat a Predictor of Race Time in Female Long-Distance Inline Skaters?
Author/Authors :
Knechtle, Beat Gesundheitszentrum St. Gallen, St. Gallen, Switzerland , Knechtle, Patrizia Gesundheitszentrum St. Gallen, St. Gallen, Switzerland , Rosemann, Thomas Institute of General Practice and for Health Services Research - University of Zurich, Zurich, Switzerland , Lepers, Romuald Faculty of Sport Sciences - University of Burgundy, Dijon, France
Abstract :
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 ultraendurance
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 (r2 = 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.
Keywords :
Skinfold thickness , Physical Endurance , Body Fat , Skating , Training volume
Journal title :
Astroparticle Physics