Predictor variables for a half marathon race time in recreational male runners

The aim of this study was to investigate predictor variables of anthropometry, training, and previous experience in order to predict a half marathon race time for future novice recreational male half marathoners. Eighty-four male finishers in the ‘Half Marathon Basel’ completed the race distance wit...

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Main Authors: Rüst, Christoph Alexander, Knechtle, Beat, Knechtle, Patrizia, Barandun, Ursula, Lepers, Romuald, Rosemann, Thomas
Format: Online
Language:English
Published: Dove Medical Press 2011
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3781889/
id pubmed-3781889
recordtype oai_dc
spelling pubmed-37818892013-11-06 Predictor variables for a half marathon race time in recreational male runners Rüst, Christoph Alexander Knechtle, Beat Knechtle, Patrizia Barandun, Ursula Lepers, Romuald Rosemann, Thomas Orginal Research The aim of this study was to investigate predictor variables of anthropometry, training, and previous experience in order to predict a half marathon race time for future novice recreational male half marathoners. Eighty-four male finishers in the ‘Half Marathon Basel’ completed the race distance within (mean and standard deviation, SD) 103.9 (16.5) min, running at a speed of 12.7 (1.9) km/h. After multivariate analysis of the anthropometric characteristics, body mass index (r = 0.56), suprailiacal (r = 0.36) and medial calf skin fold (r = 0.53) were related to race time. For the variables of training and previous experience, speed in running of the training sessions (r = −0.54) were associated with race time. After multivariate analysis of both the significant anthropometric and training variables, body mass index (P = 0.0150) and speed in running during training (P = 0.0045) were related to race time. Race time in a half marathon might be partially predicted by the following equation (r2 = 0.44): Race time (min) = 72.91 + 3.045 * (body mass index, kg/m2) −3.884 * (speed in running during training, km/h) for recreational male runners. To conclude, variables of both anthropometry and training were related to half marathon race time in recreational male half marathoners and cannot be reduced to one single predictor variable. Dove Medical Press 2011-08-02 /pmc/articles/PMC3781889/ /pubmed/24198577 http://dx.doi.org/10.2147/OAJSM.S23027 Text en © 2011 Rüst 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
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Rüst, Christoph Alexander
Knechtle, Beat
Knechtle, Patrizia
Barandun, Ursula
Lepers, Romuald
Rosemann, Thomas
spellingShingle Rüst, Christoph Alexander
Knechtle, Beat
Knechtle, Patrizia
Barandun, Ursula
Lepers, Romuald
Rosemann, Thomas
Predictor variables for a half marathon race time in recreational male runners
author_facet Rüst, Christoph Alexander
Knechtle, Beat
Knechtle, Patrizia
Barandun, Ursula
Lepers, Romuald
Rosemann, Thomas
author_sort Rüst, Christoph Alexander
title Predictor variables for a half marathon race time in recreational male runners
title_short Predictor variables for a half marathon race time in recreational male runners
title_full Predictor variables for a half marathon race time in recreational male runners
title_fullStr Predictor variables for a half marathon race time in recreational male runners
title_full_unstemmed Predictor variables for a half marathon race time in recreational male runners
title_sort predictor variables for a half marathon race time in recreational male runners
description The aim of this study was to investigate predictor variables of anthropometry, training, and previous experience in order to predict a half marathon race time for future novice recreational male half marathoners. Eighty-four male finishers in the ‘Half Marathon Basel’ completed the race distance within (mean and standard deviation, SD) 103.9 (16.5) min, running at a speed of 12.7 (1.9) km/h. After multivariate analysis of the anthropometric characteristics, body mass index (r = 0.56), suprailiacal (r = 0.36) and medial calf skin fold (r = 0.53) were related to race time. For the variables of training and previous experience, speed in running of the training sessions (r = −0.54) were associated with race time. After multivariate analysis of both the significant anthropometric and training variables, body mass index (P = 0.0150) and speed in running during training (P = 0.0045) were related to race time. Race time in a half marathon might be partially predicted by the following equation (r2 = 0.44): Race time (min) = 72.91 + 3.045 * (body mass index, kg/m2) −3.884 * (speed in running during training, km/h) for recreational male runners. To conclude, variables of both anthropometry and training were related to half marathon race time in recreational male half marathoners and cannot be reduced to one single predictor variable.
publisher Dove Medical Press
publishDate 2011
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3781889/
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