Pacing in Time-Limited Ultramarathons from 6 to 24 Hours—The Aspects of Age, Sex and Performance Level

Hagen Deusch, Pantelis T. Nikolaidis, José Ramón Alvero-Cruz, Thomas Rosemann and Beat Knechtle
Additional contact information
Hagen Deusch: Institute of Primary Care, University of Zurich, 8091 Zurich, Switzerland
Pantelis T. Nikolaidis: Faculty of Health and Caring Sciences, University of West Attica, 12243 Egaleo, Greece
José Ramón Alvero-Cruz: Faculty of Medicine, University of Málaga-Andalucía TECH, 29071 Málaga, Spain
Thomas Rosemann: Institute of Primary Care, University of Zurich, 8091 Zurich, Switzerland
Beat Knechtle: Institute of Primary Care, University of Zurich, 8091 Zurich, Switzerland

Sustainability, 2021, vol. 13, issue 5, 1-10

Abstract: (1) Background: Compared with marathon races, pacing in time-limited ultramarathons has only been poorly discussed in the literature. The aim of the present study was to analyze the interaction of performance level, age and sex with pacing during 6 h, 12 h or 24 h time-limited ultramarathons. (2) Methods: Participants ( n = 937, age 48.62 ± 11.80 years) were the finishers in 6 h ( n = 40, 17 women and 23 men), 12 h ( n = 232, 77 women and 155 men) and 24 h ( n = 665, 166 women and 409 men) ultramarathons. The coefficient of variation (CV), calculated as SD/mean, was used to described pacing. Low scores of CV denoted a more even pacing, and vice versa. A two-way analysis of variance examined the main effects and interactions of sex and race duration on age, race speed and pacing. (3) Results: More men participated in the longer race distances than in the shorter ones and men were older and faster than women. Comparing the 6 h, 12 h and 24 h races, the finishers in the 6 h were the fastest, the finishers in the 12 h were the oldest and the finishers in the 24 h showed the most variable pacing. Furthermore, the faster running speed in the 12 h (women, r = −0.64; men, r = −0.49, p < 0.001) and the 24 h (r = −0.47 in women and men, p < 0.001) was related to less variable pacing. (4) Conclusions: These data might help runners and coaches to choose the the proper duration of a race and training programs for their athletes.

Keywords: aging; time-limited ultramarathon; running; ultra-endurance (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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