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Running speed during training and percent body fat predict race time in recreational male marathoners
BACKGROUND: Recent studies have shown that personal best marathon time is a strong predictor of race time in male ultramarathoners. We aimed to determine variables predictive of marathon race time in recreational male marathoners by using the same characteristics of anthropometry and training as use...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3781899/ https://www.ncbi.nlm.nih.gov/pubmed/24198587 http://dx.doi.org/10.2147/OAJSM.S33284 |
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author | Barandun, Ursula Knechtle, Beat Knechtle, Patrizia Klipstein, Andreas Rüst, Christoph Alexander Rosemann, Thomas Lepers, Romuald |
author_facet | Barandun, Ursula Knechtle, Beat Knechtle, Patrizia Klipstein, Andreas Rüst, Christoph Alexander Rosemann, Thomas Lepers, Romuald |
author_sort | Barandun, Ursula |
collection | PubMed |
description | BACKGROUND: Recent studies have shown that personal best marathon time is a strong predictor of race time in male ultramarathoners. We aimed to determine variables predictive of marathon race time in recreational male marathoners by using the same characteristics of anthropometry and training as used for ultramarathoners. METHODS: Anthropometric and training characteristics of 126 recreational male marathoners were bivariately and multivariately related to marathon race times. RESULTS: After multivariate regression, running speed of the training units (β = −0.52, P < 0.0001) and percent body fat (β = 0.27, P < 0.0001) were the two variables most strongly correlated with marathon race times. Marathon race time for recreational male runners may be estimated to some extent by using the following equation (r(2) = 0.44): race time ( minutes) = 326.3 + 2.394 × (percent body fat, %) − 12.06 × (speed in training, km/hours). Running speed during training sessions correlated with prerace percent body fat (r = 0.33, P = 0.0002). The model including anthropometric and training variables explained 44% of the variance of marathon race times, whereas running speed during training sessions alone explained 40%. Thus, training speed was more predictive of marathon performance times than anthropometric characteristics. CONCLUSION: The present results suggest that low body fat and running speed during training close to race pace (about 11 km/hour) are two key factors for a fast marathon race time in recreational male marathoner runners. |
format | Online Article Text |
id | pubmed-3781899 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-37818992013-11-06 Running speed during training and percent body fat predict race time in recreational male marathoners Barandun, Ursula Knechtle, Beat Knechtle, Patrizia Klipstein, Andreas Rüst, Christoph Alexander Rosemann, Thomas Lepers, Romuald Open Access J Sports Med Original Research BACKGROUND: Recent studies have shown that personal best marathon time is a strong predictor of race time in male ultramarathoners. We aimed to determine variables predictive of marathon race time in recreational male marathoners by using the same characteristics of anthropometry and training as used for ultramarathoners. METHODS: Anthropometric and training characteristics of 126 recreational male marathoners were bivariately and multivariately related to marathon race times. RESULTS: After multivariate regression, running speed of the training units (β = −0.52, P < 0.0001) and percent body fat (β = 0.27, P < 0.0001) were the two variables most strongly correlated with marathon race times. Marathon race time for recreational male runners may be estimated to some extent by using the following equation (r(2) = 0.44): race time ( minutes) = 326.3 + 2.394 × (percent body fat, %) − 12.06 × (speed in training, km/hours). Running speed during training sessions correlated with prerace percent body fat (r = 0.33, P = 0.0002). The model including anthropometric and training variables explained 44% of the variance of marathon race times, whereas running speed during training sessions alone explained 40%. Thus, training speed was more predictive of marathon performance times than anthropometric characteristics. CONCLUSION: The present results suggest that low body fat and running speed during training close to race pace (about 11 km/hour) are two key factors for a fast marathon race time in recreational male marathoner runners. Dove Medical Press 2012-07-02 /pmc/articles/PMC3781899/ /pubmed/24198587 http://dx.doi.org/10.2147/OAJSM.S33284 Text en © 2012 Barandun et al, publisher and licensee Dove Medical Press Ltd This is an Open Access article which permits unrestricted noncommercial use, provided the original work is properly cited. |
spellingShingle | Original Research Barandun, Ursula Knechtle, Beat Knechtle, Patrizia Klipstein, Andreas Rüst, Christoph Alexander Rosemann, Thomas Lepers, Romuald Running speed during training and percent body fat predict race time in recreational male marathoners |
title | Running speed during training and percent body fat predict race time in recreational male marathoners |
title_full | Running speed during training and percent body fat predict race time in recreational male marathoners |
title_fullStr | Running speed during training and percent body fat predict race time in recreational male marathoners |
title_full_unstemmed | Running speed during training and percent body fat predict race time in recreational male marathoners |
title_short | Running speed during training and percent body fat predict race time in recreational male marathoners |
title_sort | running speed during training and percent body fat predict race time in recreational male marathoners |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3781899/ https://www.ncbi.nlm.nih.gov/pubmed/24198587 http://dx.doi.org/10.2147/OAJSM.S33284 |
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