Age Differences in Pacing in Endurance Running: Comparison between Marathon and Half-MarathonMen and Women.


Journal

Medicina (Kaunas, Lithuania)
ISSN: 1648-9144
Titre abrégé: Medicina (Kaunas)
Pays: Switzerland
ID NLM: 9425208

Informations de publication

Date de publication:
14 Aug 2019
Historique:
received: 24 06 2019
revised: 08 08 2019
accepted: 12 08 2019
entrez: 17 8 2019
pubmed: 17 8 2019
medline: 28 1 2020
Statut: epublish

Résumé

The increased popularity of marathons and half-marathons has led to a significant increase in the number of master runners worldwide. Since the age-related decrease in performance is dependent on race duration, pacing in long distance running might also vary by race distance in both men and women. Therefore, the main aim of this study was to assess pacing differences between marathon and half-marathon runners with regard to the runners' age group, and independently for men and women. In total, 17,465 participants in the Vienna City marathon in 2017 were considered for this study (marathon, All runners showed positive pacing strategies (i.e., a fast start with gradual decrease of speed). However, marathon runners showed greater variability in pacing than half-marathon runners. Furthermore, women showed no differences in pace variability in regard to the age group, whereas men younger than 30 years of age, as well as older men (over the age of 60), showed a greater variability in pace than other age groups. Finally, younger half-marathon men and women showed the fastest end spurt compared to older age groups and marathon runners. The presented findings could help sports and medicine practitioners to create age specific training plans and pacing strategies. This approach could help long distance runners to improve their physical fitness, achieve better race times, reduce the potential risk of musculoskeletal injuries and increase the overall pleasure of long distance running.

Sections du résumé

BACKGROUND AND OBJECTIVE OBJECTIVE
The increased popularity of marathons and half-marathons has led to a significant increase in the number of master runners worldwide. Since the age-related decrease in performance is dependent on race duration, pacing in long distance running might also vary by race distance in both men and women. Therefore, the main aim of this study was to assess pacing differences between marathon and half-marathon runners with regard to the runners' age group, and independently for men and women.
MATERIALS AND METHODS METHODS
In total, 17,465 participants in the Vienna City marathon in 2017 were considered for this study (marathon,
RESULTS RESULTS
All runners showed positive pacing strategies (i.e., a fast start with gradual decrease of speed). However, marathon runners showed greater variability in pacing than half-marathon runners. Furthermore, women showed no differences in pace variability in regard to the age group, whereas men younger than 30 years of age, as well as older men (over the age of 60), showed a greater variability in pace than other age groups. Finally, younger half-marathon men and women showed the fastest end spurt compared to older age groups and marathon runners.
CONCLUSIONS CONCLUSIONS
The presented findings could help sports and medicine practitioners to create age specific training plans and pacing strategies. This approach could help long distance runners to improve their physical fitness, achieve better race times, reduce the potential risk of musculoskeletal injuries and increase the overall pleasure of long distance running.

Identifiants

pubmed: 31416198
pii: medicina55080479
doi: 10.3390/medicina55080479
pmc: PMC6723688
pii:
doi:

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Ivan Cuk (I)

Faculty of Physical Education and Sports Management, Singidunum University, 11000 Belgrade, Serbia.

Pantelis Theodoros Nikolaidis (PT)

Exercise Physiology Laboratory, 18450 Nikaia, Greece.
School of Health and Caring Sciences, University of West Attica, 11244 Athens, Greece.

Srdjan Markovic (S)

Faculty of Physical Education and Sports Management, Singidunum University, 11000 Belgrade, Serbia.

Beat Knechtle (B)

Institute of Primary Care, University of Zurich, 8006 Zürich, Switzerland. beat.knechtle@hispeed.ch.
Medbase St. Gallen Am Vadianplatz, 9000 St. Gallen, Switzerland. beat.knechtle@hispeed.ch.

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Classifications MeSH