Literature DB >> 26815178

Predicting Marathon Time Using Exhaustive Graded Exercise Test in Marathon Runners.

Eloise S Till1, Stuart A Armstrong, Greg Harris, Stephen Maloney.   

Abstract

The study aimed to investigate the correlation between time on a treadmill test and exhaustion 2 weeks before a road marathon and the subsequent road marathon performance time (MPT). The study recruited 59 runners entered in the Melbourne 2012 marathon, Canberra 2013 marathon, and Gold Coast 2013 marathon. Forty runners completed both the graded exercise treadmill test to exhaustion and the 42.2 km marathon. Nineteen participants dropped out of the study due to illness, injury, or did not begin the treadmill test. A statistically significant correlation was found between treadmill time and MPT (adjusted R(2) = 0.447). Sex, weekly running duration (t = -1.58, p = 0.12), years of running (t = 1.10, p = 0.28), and age (t = 0.94, p = 0.36) did not statistically correlate with MPT. The relationship between the graded exercise test and MPT can be used to predict MPT using y = -3.85x + 351.57, where y is MPT and x is treadmill time. This is a simple, accessible, and cost-effective method to aid athletes in predicting their race time over 42.2 km. Prediction of marathon time in a simple and accessible manner was believed to be useful to the growing population of marathon runners around the world.

Entities:  

Mesh:

Year:  2016        PMID: 26815178     DOI: 10.1519/JSC.0000000000001152

Source DB:  PubMed          Journal:  J Strength Cond Res        ISSN: 1064-8011            Impact factor:   3.775


  5 in total

1.  A combination of routine blood analytes predicts fitness decrement in elderly endurance athletes.

Authors:  Helmuth Haslacher; Franz Ratzinger; Thomas Perkmann; Delgerdalai Batmyagmar; Sonja Nistler; Thomas M Scherzer; Elisabeth Ponocny-Seliger; Alexander Pilger; Marlene Gerner; Vanessa Scheichenberger; Michael Kundi; Georg Endler; Oswald F Wagner; Robert Winker
Journal:  PLoS One       Date:  2017-05-05       Impact factor: 3.240

2.  Skinfold Thickness Distribution in Recreational Marathon Runners.

Authors:  Pantelis Theodoros Nikolaidis; Thomas Rosemann; Beat Knechtle
Journal:  Int J Environ Res Public Health       Date:  2020-04-25       Impact factor: 3.390

3.  Different Predictor Variables for Women and Men in Ultra-Marathon Running-The Wellington Urban Ultramarathon 2018.

Authors:  Emma O'Loughlin; Pantelis T Nikolaidis; Thomas Rosemann; Beat Knechtle
Journal:  Int J Environ Res Public Health       Date:  2019-05-24       Impact factor: 3.390

4.  Training, Anthropometric, and Physiological Characteristics in Men Recreational Marathon Runners: The Role of Sport Experience.

Authors:  Pantelis T Nikolaidis; Vicente Javier Clemente-Suárez; Daniela Chlíbková; Beat Knechtle
Journal:  Front Physiol       Date:  2021-04-12       Impact factor: 4.566

5.  Pacing Strategies in the 'Athens Classic Marathon': Physiological and Psychological Aspects.

Authors:  Pantelis T Nikolaidis; Beat Knechtle
Journal:  Front Physiol       Date:  2018-11-02       Impact factor: 4.566

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.