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Is body fat a predictor of race time in female long-distance inline skaters?


Knechtle, B; Knechtle, P; Rosemann, T; Lepers, R (2010). Is body fat a predictor of race time in female long-distance inline skaters? Asian Journal of Sports Medicine, 1(3):131-136.

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.

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.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Institute of General Practice
Dewey Decimal Classification:610 Medicine & health
Language:English
Date:2010
Deposited On:28 Sep 2010 14:08
Last Modified:05 Apr 2016 14:15
Publisher:Tehran University of Medical Sciences (T UM S) Publications
ISSN:2008-000X
Official URL:http://journals.tums.ac.ir/current.aspx?org_id=59&culture_var=en&journal_id=31&segment=en&issue_id=1903
Permanent URL: https://doi.org/10.5167/uzh-35910

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