Literature DB >> 18385194

Personal best marathon performance is associated with performance in a 24-h run and not anthropometry or training volume.

B Knechtle1, A Wirth, P Knechtle, K Zimmermann, G Kohler.   

Abstract

OBJECTIVE: In this study, the influence of anthropometric and training parameters on race performance in ultra-endurance runners in a 24-h run was investigated.
DESIGN: Descriptive field study.
SETTING: 24-h run in Basel 2007. PARTICIPANTS: 15 male Caucasian ultra-runners (mean (SD) 46.7 (5.8 years), 71.1 (6.8 kg), 1.76 (0.07 m), body mass index 23.1 (1.84 kg/m(2))).
INTERVENTIONS: None. MAIN OUTCOME MEASURES: Age, body mass, body height, length of lower limbs, skin-fold thicknesses, circumference of extremities, skeletal muscle mass, body mass, percentage of body fat, and training volume in 15 successful finishers were determined to correlate anthropometric and training parameters with race performance.
RESULTS: No significant association (p>0.05) was found between the reached distance and the anthropometric properties. There was also no significant association between the reached distance with the weekly training hours, running years, the number of finished marathons and the number of finished 24-h runs. The reached distance was significantly (p<0.05) positively correlated with the personal best marathon performance (r(2) = 0.40) and the personal best 24-h run distance (r(2) = 0.58). Furthermore, the personal best marathon performance was significantly and positively correlated (p<0.01) with the best personal 24-h run distance (r(2) = 0.76).
CONCLUSIONS: Anthropometry and training volume does not seem to have a major effect on race performance in a 24-h run. Instead, a fast personal best marathon time seems to be the only positive association with race performance in a 24-h run.

Entities:  

Mesh:

Year:  2008        PMID: 18385194     DOI: 10.1136/bjsm.2007.045716

Source DB:  PubMed          Journal:  Br J Sports Med        ISSN: 0306-3674            Impact factor:   13.800


  27 in total

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2.  Do older athletes reach limits in their performance during marathon running?

Authors:  Romuald Lepers; Thomas Cattagni
Journal:  Age (Dordr)       Date:  2011-05-27

3.  Leg skinfold thicknesses and race performance in male 24-hour ultra-marathoners.

Authors:  Beat Knechtle; Patrizia Knechtle; Christoph Alexander Rüst; Thomas Rosemann
Journal:  Proc (Bayl Univ Med Cent)       Date:  2011-04

4.  Use of Bioimpedianciometer as Predictor of Mountain Marathon Performance.

Authors:  Vicente Javier Clemente-Suarez; Pantelis Theodoros Nikolaidis
Journal:  J Med Syst       Date:  2017-03-20       Impact factor: 4.460

Review 5.  Can neuromuscular fatigue explain running strategies and performance in ultra-marathons?: the flush model.

Authors:  Guillaume Y Millet
Journal:  Sports Med       Date:  2011-06-01       Impact factor: 11.136

6.  Psychophysiological, Body Composition, Biomechanical and Autonomic Modulation Analysis Procedures in an Ultraendurance Mountain Race.

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Journal:  J Med Syst       Date:  2018-01-05       Impact factor: 4.460

7.  What is the age for the fastest ultra-marathon performance in time-limited races from 6 h to 10 days?

Authors:  Beat Knechtle; Fabio Valeri; Matthias Alexander Zingg; Thomas Rosemann; Christoph Alexander Rüst
Journal:  Age (Dordr)       Date:  2014-10-04

8.  Characteristics, changes and influence of body composition during a 4486 km transcontinental ultramarathon: results from the TransEurope FootRace mobile whole body MRI-project.

Authors:  Uwe H W Schütz; Christian Billich; Kathrin König; Christian Würslin; Heike Wiedelbach; Hans-Jürgen Brambs; Jürgen Machann
Journal:  BMC Med       Date:  2013-05-08       Impact factor: 8.775

9.  The TransEurope FootRace Project: longitudinal data acquisition in a cluster randomized mobile MRI observational cohort study on 44 endurance runners at a 64-stage 4,486 km transcontinental ultramarathon.

Authors:  Uwe H W Schütz; Arno Schmidt-Trucksäss; Beat Knechtle; Jürgen Machann; Heike Wiedelbach; Martin Ehrhardt; Wolfgang Freund; Stefan Gröninger; Horst Brunner; Ingo Schulze; Hans-Jürgen Brambs; Christian Billich
Journal:  BMC Med       Date:  2012-07-19       Impact factor: 8.775

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

Authors:  Christoph Alexander Rüst; Beat Knechtle; Patrizia Knechtle; Ursula Barandun; Romuald Lepers; Thomas Rosemann
Journal:  Open Access J Sports Med       Date:  2011-08-02
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