Literature DB >> 20224445

Age, sex, and finish time as determinants of pacing in the marathon.

Daniel S March1, Paul M Vanderburgh, Peter J Titlebaum, Mackenzie L Hoops.   

Abstract

Previous researchers have suggested that faster marathoners tend to run at a more consistent pace compared with slower runners. None has examined the influence of sex and age on pacing. Therefore, the purpose of this study was to determine the simultaneous influences of age, sex, and run time on marathon pacing. Pacing was defined as the mean velocity of the last 9.7 km divided by that of the first 32.5 km (closer to 1.0 indicates better pacing). Subjects were 186 men and 133 women marathoners from the 2005, 2006, and 2007 races of a midwestern U.S. marathon. The course was a 1.6 km (1 mile) loop with pace markers throughout, thus facilitating pacing strategy. Each 1.6-km split time was measured electronically by way of shoe chip. The ambient temperature (never above 5°C) ensured that hyperthermia, a condition known to substantially slow marathon times and affect pacing, was not likely a factor. Multiple regression analysis indicated that age, sex, and run time (p < 0.01 for each) were simultaneously independent determinants of pacing. The lack of any 2- or 3-way interactions (p > 0.05 for each) suggests that the effects of 1 independent variable is not dependent upon the levels of others. We conclude that older, women, and faster are better pacers than younger, men, and slower marathoners, respectively. Coaches can use these findings to overcome such tendencies and increase the odds of more optimal pacing.

Entities:  

Mesh:

Year:  2011        PMID: 20224445     DOI: 10.1519/JSC.0b013e3181bffd0f

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


  41 in total

1.  The relationship between age and running time in elite marathoners is U-shaped.

Authors:  Beatriz Lara; Juan José Salinero; Juan Del Coso
Journal:  Age (Dordr)       Date:  2014-01-10

2.  Men are more likely than women to slow in the marathon.

Authors:  Robert O Deaner; Rickey E Carter; Michael J Joyner; Sandra K Hunter
Journal:  Med Sci Sports Exerc       Date:  2015-03       Impact factor: 5.411

3.  Pacing strategies during the swim, cycle and run disciplines of sprint, Olympic and half-Ironman triathlons.

Authors:  Sam Shi Xuan Wu; Jeremiah J Peiffer; Jeanick Brisswalter; Kazunori Nosaka; Wing Yin Lau; Chris R Abbiss
Journal:  Eur J Appl Physiol       Date:  2015-01-04       Impact factor: 3.078

Review 4.  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

5.  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

6.  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

7.  A Study of Race Pacing in the Running Leg of the Japan University Triathlon Championship.

Authors:  Yuto Inai; Atsushi Aoyagi; Keisuke Ishikura; Hayate Namatame; Yoshiharu Nabekura; Takao Akama
Journal:  Front Sports Act Living       Date:  2022-06-28

Review 8.  Sex Differences in Endurance Running.

Authors:  Thibault Besson; Robin Macchi; Jeremy Rossi; Cédric Y M Morio; Yoko Kunimasa; Caroline Nicol; Fabrice Vercruyssen; Guillaume Y Millet
Journal:  Sports Med       Date:  2022-02-05       Impact factor: 11.928

9.  Do non-elite older runners slow down more than younger runners in a 100 km ultra-marathon?

Authors:  Christoph A Rüst; Thomas Rosemann; Matthias A Zingg; Beat Knechtle
Journal:  BMC Sports Sci Med Rehabil       Date:  2015-01-09

10.  Analysis of participation and performance in athletes by age group in ultramarathons of more than 200 km in length.

Authors:  Matthias A Zingg; Beat Knechtle; Christoph A Rüst; Thomas Rosemann; Romuald Lepers
Journal:  Int J Gen Med       Date:  2013-04-09
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