Literature DB >> 29064284

Pacing in age group marathoners in the "New York City Marathon".

Pantelis T Nikolaidis1, Beat Knechtle2,3.   

Abstract

The aim of the study was to investigate how women and men age group runners pace during a large city marathon. We analysed changes in running speed by splits of 5 km in 20,283 women and 28,282 men age group runners competing in the 2015 edition of the "New York City Marathon". A moderate split×sex interaction on running speed (p < 0.001, η2 = 0.108) was observed with men showing a larger decrease in speed from the fastest split (5-10 km) to the slowest one (35-40 km) than women (21.1 vs. 16.7%), and a different pattern was observed in the 25-30 km split (increase in women, decrease in men). A trivial split×age group interaction on speed was observed in women (p < 0.001, η2 = 0.003) and men (p < 0.001, η2 = 0.004). In summary, men and women of all age groups reduced running speed during the marathon with a final spurt in the last segment (i.e. 40-42.2 km).

Entities:  

Keywords:  Athlete; elderly people; master; performance

Mesh:

Year:  2017        PMID: 29064284     DOI: 10.1080/15438627.2017.1393752

Source DB:  PubMed          Journal:  Res Sports Med        ISSN: 1543-8627            Impact factor:   4.674


  16 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.  Devising a Pace-Based Definition for "The Wall": An Observational Analysis of Marathoners' Subjective Experiences of Fatigue.

Authors:  Cailbhe Doherty; Alison Keogh; Barry Smyth; Peter Megyesi; Brian Caulfield
Journal:  J Athl Train       Date:  2020-03-27       Impact factor: 2.860

4.  Pacing in a 94-year-old runner during a 6-hour run.

Authors:  Beat Knechtle; Pantelis T Nikolaidis
Journal:  Open Access J Sports Med       Date:  2018-02-05

5.  Different race pacing strategies among runners covering the 2017 Berlin Marathon under 3 hours and 30 minutes.

Authors:  Iker Muñoz-Pérez; Marcos Mecías-Calvo; Jorge Crespo-Álvarez; María Luisa Sámano-Celorio; Pablo Agudo-Toyos; Carlos Lago-Fuentes
Journal:  PLoS One       Date:  2020-07-28       Impact factor: 3.240

6.  Performance and Pacing of Age Groups in Half-Marathon and Marathon.

Authors:  Pantelis Theodoros Nikolaidis; Ivan Cuk; Thomas Rosemann; Beat Knechtle
Journal:  Int J Environ Res Public Health       Date:  2019-05-20       Impact factor: 3.390

7.  The effect of sex and performance level on pacing in cross-country skiers: Vasaloppet 2004-2017.

Authors:  Pantelis Theodoros Nikolaidis; Elias Villiger; Beat Knechtle
Journal:  J Sport Health Sci       Date:  2018-05-07       Impact factor: 7.179

8.  Pacing of an Untrained 17-Year-Old Teenager in a Marathon Attempt.

Authors:  Beat Knechtle; Celina Knechtle; Thomas Rosemann; Pantelis T Nikolaidis
Journal:  Int J Exerc Sci       Date:  2018-06-01

9.  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

10.  Pacing During and Physiological Response After a 12-Hour Ultra-Marathon in a 95-Year-Old Male Runner.

Authors:  Beat Knechtle; Zbigniew Jastrzebski; Thomas Rosemann; Pantelis T Nikolaidis
Journal:  Front Physiol       Date:  2019-01-04       Impact factor: 4.566

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