Literature DB >> 33106120

Effect of marathon characteristics and runners' time category on pacing profile.

Fran Oficial-Casado1, Jordi Uriel2, Pedro Pérez-Soriano1, Jose Ignacio Priego Quesada1,3.   

Abstract

This study aimed to analyse differences in pacing profiles in four marathon competitions and to explore that pacing per time category. A database of 91,493 runners gathered from 4 different races was analysed (Valencia, Chicago, London and Tokyo Marathon). Participants were categorized in accordance with their completion time. The relative speed of each section for each runner was calculated as a percentage of the average speed for the entire race. In the four marathons studied, the first 5 km differed widely, presenting London the highest relative speeds (5 km: CI95% London vs. Valencia [12.1, 13.6%], p < 0.001 and ES = 2.1; London vs. Chicago [5.5, 7.1%], p < 0.001 and ES = 1.1; London vs. Tokyo [15.2, 16.8%], p < 0.001 and ES = 2.3). Races did not differ at each section for high-performance runners (sub-2:30), but differences between races increased as the time category increases (e.g. 35 km and sub-3:00: CI95% London vs. Tokyo [-3.1, -1.8%], p < 0.001 and ES = 0.7; 35 km and sub-5:00: London vs. Tokyo [-9.8, -9.2%], p < 0.001 and ES = 1.3). The difference in relative speed between the first and second half of the marathon was higher in London than in the other marathons (e.g. CI95% London vs. Valencia [10.3, 10.8%], p < 0.001 and ES = 1.3). In conclusion, although race characteristics affect pacing, this effect was higher as the category time increases. Race pacing characteristics should be taken into consideration for runners and coaches choosing the race and working on pacing strategies, for researches to extrapolate or interpret results, or for race organizations to improve its pacing characteristics.Highlights The first 5 km differed widely on pacing profiles between the four marathons assessed.London had the highest relative speeds in the first 5 km.Race characteristics affect pacing, but this effect was higher as the category time increases.The difference in relative speed between the first and second half of the marathon was higher in London than in the other marathons.

Entities:  

Keywords:  Running; athletics; endurance; race performance; tactics

Year:  2020        PMID: 33106120     DOI: 10.1080/17461391.2020.1838621

Source DB:  PubMed          Journal:  Eur J Sport Sci        ISSN: 1536-7290            Impact factor:   4.050


  4 in total

1.  Consistency of pacing profile according to performance level in three different editions of the Chicago, London, and Tokyo marathons.

Authors:  Fran Oficial-Casado; Jordi Uriel; Irene Jimenez-Perez; Márcio Fagundes Goethel; Pedro Pérez-Soriano; Jose Ignacio Priego-Quesada
Journal:  Sci Rep       Date:  2022-06-24       Impact factor: 4.996

2.  The Influence of Environmental Conditions on Pacing in Age Group Marathoners Competing in the "New York City Marathon".

Authors:  Katja Weiss; David Valero; Elias Villiger; Volker Scheer; Mabliny Thuany; Ivan Cuk; Thomas Rosemann; Beat Knechtle
Journal:  Front Physiol       Date:  2022-06-14       Impact factor: 4.755

3.  Influence of advanced shoe technology on the top 100 annual performances in men's marathon from 2015 to 2019.

Authors:  Víctor Rodrigo-Carranza; Fernando González-Mohíno; Jesús Santos Del Cerro; Jordan Santos-Concejero; José María González-Ravé
Journal:  Sci Rep       Date:  2021-11-17       Impact factor: 4.379

4.  Development and Validation of Prediction Equation of "Athens Authentic Marathon" Men's Race Speed.

Authors:  Pantelis T Nikolaidis; Thomas Rosemann; Beat Knechtle
Journal:  Front Physiol       Date:  2021-07-01       Impact factor: 4.566

  4 in total

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