The pacing differences in performance levels of marathon and half-marathon runners
IntroductionMany studies indicate a considerable impact of optimal pacing on long-distance running performance. Given that the amount of carbohydrates in metabolic processes increases supralinearly with the running intensity, we may observe differences between the pacing strategies of two long-dista...
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Frontiers Media S.A.
2023-12-01
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Series: | Frontiers in Psychology |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1273451/full |
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author | Ljubica Ristanović Ivan Cuk Elias Villiger Stanimir Stojiljković Pantelis T. Nikolaidis Pantelis T. Nikolaidis Katja Weiss Beat Knechtle Beat Knechtle |
author_facet | Ljubica Ristanović Ivan Cuk Elias Villiger Stanimir Stojiljković Pantelis T. Nikolaidis Pantelis T. Nikolaidis Katja Weiss Beat Knechtle Beat Knechtle |
author_sort | Ljubica Ristanović |
collection | DOAJ |
description | IntroductionMany studies indicate a considerable impact of optimal pacing on long-distance running performance. Given that the amount of carbohydrates in metabolic processes increases supralinearly with the running intensity, we may observe differences between the pacing strategies of two long-distance races and different performance levels of runners. Accordingly, the present study aimed to examine the differences in pacing strategies between marathon and half-marathon races regarding the performance levels of runners.MethodsThe official results and split times from a total of 208,760 (marathon, N = 75,492; half-marathon, N = 133,268) finishers in the “Vienna City Marathon” between 2006 and 2018 were analyzed. The percentage of the average change of speed for each of the five segments (CS 1–5), as well as the absolute change of speed (ACS) were calculated. The CS 1–5 for the marathon are as follows: up to the 10th km, 10th – 20th km, 20th – 30th km, 30th – 40th km, and from the 40th km to the 42.195 km. For the half-marathon, the CS 1–5 are half of the marathon values. Four performance groups were created as quartiles of placement separately for sexes and races: high-level (HL), moderate to high-level (MHL), moderate to low-level (MLL), and low-level (LL).ResultsPositive pacing strategies (i.e., decrease of speed) were observed in all performance groups of both sex and race. Across CS 1–5, significant main effects (p < 0.001) were observed for the segment, performance level, and their interaction in both sex and race groups. All LL groups demonstrated higher ACS (men 7.9 and 6.05%, as well as women 5.83 and 5.49%, in marathon and half-marathon, respectively), while the HL performance group showed significantly lower ACS (men 4.14 and 2.97%, as well as women 3.16 and 2.77%, in marathon and half-marathon, respectively). Significant main effects (p < 0.001) for the race were observed but with a low effect size in women (ŋ2 = 0.001).DiscussionBetter runners showed more even pacing than slower runners. The half-marathoners showed more even pacing than the marathoners across all performance groups but with a trivial practical significance in women. |
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publishDate | 2023-12-01 |
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spelling | doaj.art-ca380a4216b14b2293278bd2fb9071482023-12-21T16:11:18ZengFrontiers Media S.A.Frontiers in Psychology1664-10782023-12-011410.3389/fpsyg.2023.12734511273451The pacing differences in performance levels of marathon and half-marathon runnersLjubica Ristanović0Ivan Cuk1Elias Villiger2Stanimir Stojiljković3Pantelis T. Nikolaidis4Pantelis T. Nikolaidis5Katja Weiss6Beat Knechtle7Beat Knechtle8Faculty of Sport and Physical Education, University of Belgrade, Belgrade, SerbiaFaculty of Sport and Physical Education, University of Belgrade, Belgrade, SerbiaKlinik für Allgemeine Innere Medizin, Kantonsspital St. Gallen, St. Gallen, SwitzerlandFaculty of Sport and Physical Education, University of Belgrade, Belgrade, SerbiaExercise Physiology Laboratory, Nikaia, GreeceSchool of Health and Caring Sciences, University of West Attica, Athens, GreeceInstitute of Primary Care, University of Zurich, Zurich, SwitzerlandInstitute of Primary Care, University of Zurich, Zurich, SwitzerlandMedbase St. Gallen Am Vadianplatz, St. Gallen, SwitzerlandIntroductionMany studies indicate a considerable impact of optimal pacing on long-distance running performance. Given that the amount of carbohydrates in metabolic processes increases supralinearly with the running intensity, we may observe differences between the pacing strategies of two long-distance races and different performance levels of runners. Accordingly, the present study aimed to examine the differences in pacing strategies between marathon and half-marathon races regarding the performance levels of runners.MethodsThe official results and split times from a total of 208,760 (marathon, N = 75,492; half-marathon, N = 133,268) finishers in the “Vienna City Marathon” between 2006 and 2018 were analyzed. The percentage of the average change of speed for each of the five segments (CS 1–5), as well as the absolute change of speed (ACS) were calculated. The CS 1–5 for the marathon are as follows: up to the 10th km, 10th – 20th km, 20th – 30th km, 30th – 40th km, and from the 40th km to the 42.195 km. For the half-marathon, the CS 1–5 are half of the marathon values. Four performance groups were created as quartiles of placement separately for sexes and races: high-level (HL), moderate to high-level (MHL), moderate to low-level (MLL), and low-level (LL).ResultsPositive pacing strategies (i.e., decrease of speed) were observed in all performance groups of both sex and race. Across CS 1–5, significant main effects (p < 0.001) were observed for the segment, performance level, and their interaction in both sex and race groups. All LL groups demonstrated higher ACS (men 7.9 and 6.05%, as well as women 5.83 and 5.49%, in marathon and half-marathon, respectively), while the HL performance group showed significantly lower ACS (men 4.14 and 2.97%, as well as women 3.16 and 2.77%, in marathon and half-marathon, respectively). Significant main effects (p < 0.001) for the race were observed but with a low effect size in women (ŋ2 = 0.001).DiscussionBetter runners showed more even pacing than slower runners. The half-marathoners showed more even pacing than the marathoners across all performance groups but with a trivial practical significance in women.https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1273451/fullendurancelong-distance racesrunningspeedstrategyvariability |
spellingShingle | Ljubica Ristanović Ivan Cuk Elias Villiger Stanimir Stojiljković Pantelis T. Nikolaidis Pantelis T. Nikolaidis Katja Weiss Beat Knechtle Beat Knechtle The pacing differences in performance levels of marathon and half-marathon runners Frontiers in Psychology endurance long-distance races running speed strategy variability |
title | The pacing differences in performance levels of marathon and half-marathon runners |
title_full | The pacing differences in performance levels of marathon and half-marathon runners |
title_fullStr | The pacing differences in performance levels of marathon and half-marathon runners |
title_full_unstemmed | The pacing differences in performance levels of marathon and half-marathon runners |
title_short | The pacing differences in performance levels of marathon and half-marathon runners |
title_sort | pacing differences in performance levels of marathon and half marathon runners |
topic | endurance long-distance races running speed strategy variability |
url | https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1273451/full |
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