| Personal best time, percent body fat, and training are differently associated with race time for male and female ironman triathletes. | |
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MedLine Citation:
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PMID: 20387399 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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We studied male and female nonprofessional Ironman triathletes to determine whether percent body fat, training, and/or previous race experience were associated with race performance. We used simple linear regression analysis, with total race time as the dependent variable, to investigate the relationship among athletes' percent body fat, average amount of weekly training, and best time in an Ironman triathlon. For male athletes, percent body fat (r2 = 0.57, p < .001) was related to total race time but not average weekly training. For women, percent body fat showed no association with total race time; howeven average weekly training volume was related to total race time (r = .43, p < .01). Percent body fat and average weekly training were not correlated in either gender Speed in training was not associated with race performance in either gender. For men (r2 = .56, p < .001) and women (r2 = .45, p < .05), personal best time in an Ironman triathlon was related to total race time. We concluded that percent body fat was related to race performance in male athletes and to average weekly training in female athletes. Personal best time in an Ironman triathlon was associated with total race time for both male and female athletes. |
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Authors:
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Beat Knechtle; Andrea Wirth; Barbara Baumann; Patrizia Knechtle; Thomas Rosemann |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Research quarterly for exercise and sport Volume: 81 ISSN: 0270-1367 ISO Abbreviation: Res Q Exerc Sport Publication Date: 2010 Mar |
Date Detail:
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Created Date: 2010-04-14 Completed Date: 2011-01-06 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8006373 Medline TA: Res Q Exerc Sport Country: United States |
Other Details:
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Languages: eng Pagination: 62-8 Citation Subset: IM |
Affiliation:
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St. Gallen Health Center, St. Gallen, Switzerland. beat.knechtle@hispeed.ch |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Acceleration Adipose Tissue* Adult Bicycling / physiology* Female Humans Linear Models Male Motor Activity* Running / physiology* Sex Factors Skinfold Thickness Statistics as Topic Swimming / physiology* Switzerland Task Performance and Analysis Time Factors |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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