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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.
Asian Journal of Sports Medicine
Sports Medicine Research Center, TUMS
Is Body Fat a Predictor of Race Time in Female Long-Distance Inline Skaters?
Author(s):
2Institute of General Practice and for Health Services Research, University of Zurich, Zurich, Switzerland
1Gesundheitszentrum St. Gallen, St. Gallen, Switzerland
3INSERM U887, Faculty of Sport Sciences, University of Burgundy, Dijon, France
Published online:Aug 31, 2010
Article type:Research Article
Received:Jun 06, 2010
Accepted:Jul 20, 2010
How to Cite:Beat KnechtlePatrizia KnechtleThomas RosemannRomuald LepersIs Body Fat a Predictor of Race Time in Female Long-Distance Inline Skaters?.Asian J Sports Med.1(3):34853.https://doi.org/10.5812/asjsm.34853.
Abstract
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 (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.
Copyright
© 2010, Author(s). This open-access article is available under the Creative Commons Attribution 4.0 (CC BY 4.0) International License (https://creativecommons.org/licenses/by/4.0/), which allows for unrestricted use, distribution, and reproduction in any medium, provided that the original work is properly cited.
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