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A macro to micro analysis to understand performance in 100-mile ultra-marathons worldwide

The purposes of this study were (i) to describe differences in participation in 100-mile ultra-marathons by continent; (ii) to investigate differences in performance between continents; and (iii) to identify the fastest runners by continent and country. Data from 148,169 athletes (119,408 men), aged...

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Autores principales: Thuany, Mabliny, Weiss, Katja, Villiger, Elias, Scheer, Volker, Ouerghi, Nejmeddine, Gomes, Thayse Natacha, Knechtle, Beat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9876921/
https://www.ncbi.nlm.nih.gov/pubmed/36697457
http://dx.doi.org/10.1038/s41598-023-28398-2
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author Thuany, Mabliny
Weiss, Katja
Villiger, Elias
Scheer, Volker
Ouerghi, Nejmeddine
Gomes, Thayse Natacha
Knechtle, Beat
author_facet Thuany, Mabliny
Weiss, Katja
Villiger, Elias
Scheer, Volker
Ouerghi, Nejmeddine
Gomes, Thayse Natacha
Knechtle, Beat
author_sort Thuany, Mabliny
collection PubMed
description The purposes of this study were (i) to describe differences in participation in 100-mile ultra-marathons by continent; (ii) to investigate differences in performance between continents; and (iii) to identify the fastest runners by continent and country. Data from 148,169 athletes (119,408 men), aged 18–81 years, and finishers in a 100-miles ultra-marathon during 1870–2020 were investigated. Information about age, gender, origin, performance level (top three, top 10, top 100) was obtained. Kruskal–Wallis tests and linear regressions were performed. Athletes were mostly from America and Europe. A macro-analysis showed that the fastest men runners were from Africa, while the fastest women runners were from Europe and Africa. Women from Sweden, Hungary and Russia presented the best performances in the top three, top 10 and top 100. Men from Brazil, Russia and Lithuania were the fastest. The lowest performance and participation were observed for runners from Asia. In summary, in 100-miles ultra-marathon running, the majority of athletes were from America, but for both sexes and performance levels, the fastest runners were from Africa. On a country level, the fastest women were from Sweden, Hungary and Russia, while the fastest men were from Brazil, Russia and Lithuania.
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spelling pubmed-98769212023-01-27 A macro to micro analysis to understand performance in 100-mile ultra-marathons worldwide Thuany, Mabliny Weiss, Katja Villiger, Elias Scheer, Volker Ouerghi, Nejmeddine Gomes, Thayse Natacha Knechtle, Beat Sci Rep Article The purposes of this study were (i) to describe differences in participation in 100-mile ultra-marathons by continent; (ii) to investigate differences in performance between continents; and (iii) to identify the fastest runners by continent and country. Data from 148,169 athletes (119,408 men), aged 18–81 years, and finishers in a 100-miles ultra-marathon during 1870–2020 were investigated. Information about age, gender, origin, performance level (top three, top 10, top 100) was obtained. Kruskal–Wallis tests and linear regressions were performed. Athletes were mostly from America and Europe. A macro-analysis showed that the fastest men runners were from Africa, while the fastest women runners were from Europe and Africa. Women from Sweden, Hungary and Russia presented the best performances in the top three, top 10 and top 100. Men from Brazil, Russia and Lithuania were the fastest. The lowest performance and participation were observed for runners from Asia. In summary, in 100-miles ultra-marathon running, the majority of athletes were from America, but for both sexes and performance levels, the fastest runners were from Africa. On a country level, the fastest women were from Sweden, Hungary and Russia, while the fastest men were from Brazil, Russia and Lithuania. Nature Publishing Group UK 2023-01-25 /pmc/articles/PMC9876921/ /pubmed/36697457 http://dx.doi.org/10.1038/s41598-023-28398-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Thuany, Mabliny
Weiss, Katja
Villiger, Elias
Scheer, Volker
Ouerghi, Nejmeddine
Gomes, Thayse Natacha
Knechtle, Beat
A macro to micro analysis to understand performance in 100-mile ultra-marathons worldwide
title A macro to micro analysis to understand performance in 100-mile ultra-marathons worldwide
title_full A macro to micro analysis to understand performance in 100-mile ultra-marathons worldwide
title_fullStr A macro to micro analysis to understand performance in 100-mile ultra-marathons worldwide
title_full_unstemmed A macro to micro analysis to understand performance in 100-mile ultra-marathons worldwide
title_short A macro to micro analysis to understand performance in 100-mile ultra-marathons worldwide
title_sort macro to micro analysis to understand performance in 100-mile ultra-marathons worldwide
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9876921/
https://www.ncbi.nlm.nih.gov/pubmed/36697457
http://dx.doi.org/10.1038/s41598-023-28398-2
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