| Personal Best Marathon Time and Longest Training Run, Not Anthropometry, Predict Performance in Recreational 24-Hour Ultrarunners. | |
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MedLine Citation:
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PMID: 21642857 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Knechtle, B, Knechtle, P, Rosemann, T, and Lepers, R. Personal best marathon time and longest training run, not anthropometry, predict performance in recreational 24-hour ultrarunners. J Strength Cond Res 25(X): 000-000, 2011-In recent studies, a relationship between both low body fat and low thicknesses of selected skinfolds has been demonstrated for running performance of distances from 100 m to the marathon but not in ultramarathon. We investigated the association of anthropometric and training characteristics with race performance in 63 male recreational ultrarunners in a 24-hour run using bi and multivariate analysis. The athletes achieved an average distance of 146.1 (43.1) km. In the bivariate analysis, body mass (r = -0.25), the sum of 9 skinfolds (r = -0.32), the sum of upper body skinfolds (r = -0.34), body fat percentage (r = -0.32), weekly kilometers ran (r = 0.31), longest training session before the 24-hour run (r = 0.56), and personal best marathon time (r = -0.58) were related to race performance. Stepwise multiple regression showed that both the longest training session before the 24-hour run (p = 0.0013) and the personal best marathon time (p = 0.0015) had the best correlation with race performance. Performance in these 24-hour runners may be predicted (r = 0.46) by the following equation: Performance in a 24-hour run, km) = 234.7 + 0.481 (longest training session before the 24-hour run, km) - 0.594 (personal best marathon time, minutes). For practical applications, training variables such as volume and intensity were associated with performance but not anthropometric variables. To achieve maximum kilometers in a 24-hour run, recreational ultrarunners should have a personal best marathon time of ∼3 hours 20 minutes and complete a long training run of ∼60 km before the race, whereas anthropometric characteristics such as low body fat or low skinfold thicknesses showed no association with performance. |
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Authors:
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Beat Knechtle; Patrizia Knechtle; Thomas Rosemann; Romuald Lepers |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-6-02 |
Journal Detail:
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Title: Journal of strength and conditioning research / National Strength & Conditioning Association Volume: - ISSN: 1533-4287 ISO Abbreviation: - Publication Date: 2011 Jun |
Date Detail:
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Created Date: 2011-6-6 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9415084 Medline TA: J Strength Cond Res Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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1Gesundheitszentrum St. Gallen, St. Gallen, Switzerland; 2Institute of General Practice and for Health Services Research, University of Zurich, Zurich, Switzerland; and 3INSERM U887, Faculty of Sport Sciences, University of Burgundy, Dijon, France. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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