ORIGINAL PAPER
East-European runners were the fastest in 6-day ultramarathons
 
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1
Medbase St. Gallen Am Vadianplatz, St. Gallen, Switzerland
 
2
Institute of Primary Care, University of Zurich, Zurich, Switzerland
 
3
Ultra Sports Science Foundation, Pierre-Benite, France
 
4
Faculty of Sport and Physical Education, University of Belgrade, Belgrade, Serbia
 
5
School of Health and Caring Sciences, University of West Attica, Athens, Greece
 
6
Faculty of Physical Education and Dance, Federal University of Goiás, Goiânia, Goiás, Brazil
 
7
MoveAgeLab, Physical Education Sport Center of Federal University of Espirito Santo, Vitoria, ES, Brazil
 
8
Center for Sports Cardiology at the Gajda-Med Medical Center in Pułtusk, Pułtusk, Poland
 
9
Department of Physical Education, State University of Para, Pará, Brazil
 
 
Submission date: 2024-08-18
 
 
Acceptance date: 2025-02-28
 
 
Online publication date: 2025-09-09
 
 
Corresponding author
Beat Knechtle   

Medbase St. Gallen am Vadianplatz Vadianstrasse 26, 9001 St. Gallen Switzerland
 
 
 
KEYWORDS
TOPICS
ABSTRACT
Purpose:
Ultramarathon running is increasingly popular, where the time-limited races offer formats from 6 hours to 10 days. To date, the origin of the best 6-day ultramarathoners and where the fastest races are held are yet to be determined. The aim of the present study was to investigate where these runners originate from, and where the fastest races are held.

Methods:
A total of 8,889 race records (6,737 from men and 2,162 from women) from 3,226 unique age group runners (2,413 men and 813 women) from 54 countries from age groups 18 to 75 years and participating in 141 races held in 25 different countries between 1874 and 2022 were analysed. A machine learning model based on the XGBoost Regression algorithm was built to predict running speed based on the athlete’s age, sex, country of origin, and where the race occurs. Model explainability tools were then used to investigate how each independent variable would influence the predicted running speed.

Results:
Most athletes (62.5%) were from the USA, France, South Africa, Australia, Germany, and the UK. Almost 60% of the 6-day races took place in the USA and France. Athletes from Lithuania, Slovenia, and Namibia were the fastest. Ukraine holds the fastest 6-day races, ahead of Austria and Australia. The model rated the country where the race takes place as the most important predictor. Men were ~0.4 km/h faster than women except for the 75 years age group. The fastest runners were in the 35–39 years age group.

Conclusions:
East-European runners from Lithuania and Slovenia were the fastest in 6-day ultramarathons, where most of the races took place in the USA and France. The fastest 6-day races were in Ukraine, where the races were held as track races.
REFERENCES (76)
1.
Spittler J, Oberle L. Current trends in ultramarathon running. Curr Sports Med Rep. 2019;18(11): 387–93, doi: 10.1249/jsr.0000000000000654.
 
2.
Knechtle B. Ultramarathon runners: nature or nurture?. Int J Sports Physiol Perform. 2012;7(4): 310–2; doi: 10.1123/ijspp.7.4.310.
 
3.
Knechtle B, Nikolaidis PT. Physiology and pathophysiology in ultra-marathon running. Front Physiol. 2018;9(634); doi: 10.3389/fphys.2018.00634.
 
4.
Nikolaidis PT, Knechtle B. Age of peak performance in 50-km ultramarathoners – is it older than in marathoners?. Open Access J Sports Med. 2018; 9(37–45); doi: 10.2147/oajsm.S154816.
 
5.
Knechtle B, Weiss K, Villiger E, Scheer V, Gomes TN, Gajda R, Ouerghi N, Chtourou H, Nikolaidis PT, Rosemann T, Thuany M. The sex difference in 6-h ultra-marathon running – the worldwide trends from 1982 to 2020. Medicina. 2022;58(2): 179; doi: 10.3390/medicina58020179.
 
6.
Knechtle B, Valeri F, Zingg MA, Rosemann T, Rüst CA. What is the age for the fastest ultra-marathon performance in time-limited races from 6 h to 10 days? Age. 2014;36(5):9715; doi: 10.1007/ s11357-014-9715-3.
 
7.
Weiss K, Thuany M, Scheer V, Ouerghi N, Andrade MS, Nikolaidis PT, Ćuk I, Knechtle B. How to end up on the podium after running a 6-days-run with type 1 diabetes mellitus – a case study and literature review. Eur Rev Med Pharmacol Sci. 2023;27(1):88–97; doi: 10.26355/eurrev_202301_ 30856.
 
8.
Hutson MA. Medical implications of ultra marathon running: observations on a six day track race. Br J Sports Med. 1984;18(1):44–5; doi: 10.11 36/bjsm.18.1.44.
 
9.
Wissocque L, Aucouturier J, Mondesert B, Chagué F, Duva Pentiah A, Simeone A, Brigadeau F, Lacroix D. Lack of change in myocardial function and fibrosis following a 6-day ultra-endurance exercise: a case report. Int J Cardiol. 2015;179: 20–2; doi: 10.1016/j.ijcard.2014.10.075.
 
10.
Hue O, Henri S, Baillot M, Sinnapah S, Uzel AP. Thermoregulation, hydration and performance over 6 days of trail running in the tropics. Int J Sports Med. 2014;35(11):906–11; doi: 10.1055/ s-0033-1361186.
 
11.
Le Mat F, Géry M, Besson T, Ferdynus C, Bouscaren N, Millet GY. Running endurance in women compared to men: retrospective analysis of matched real-world big data. Sports Med. 2023;53(4):917– 26; doi: 10.1007/s40279-023-01813-4.
 
12.
Knechtle B, Valeri F, Nikolaidis PT, Zingg MA, Rosemann T, Rüst CA. Do women reduce the gap to men in ultra-marathon running?. Springerplus. 2016;5(1):672; doi: 10.1186/s40064-016- 2326-y.
 
13.
Deutsche Ultramarathon Vereinigung. Available from: http://www.ultra-marathon.org (accessed 4.10.2024).
 
14.
Ehrensperger L, Knechtle B, Rüst CA, Rosemann T. Participation and performance trends in 6-hour ultra-marathoners: a retrospective data analysis of worldwide participation from 1991–2010. J Hum Sport Exerc. 2013;8(4):905–24.
 
15.
Sehovic E, Knechtle B, Rüst CA, Rosemann T. 12- hour ultra-marathons: Increasing worldwide participation and dominance of Europeans. J Hum Sport Exerc. 2013;8(4):932–53.
 
16.
Knechtle B, Weiss K, Valero D, Villiger E, Nikolaidis PT, Andrade MS, Scheer V, Cuk I, Gajda R, Thuany M. Using machine learning to determine the nationalities of the fastest 100-mile ultra-marathoners and identify top racing events. PLOS ONE. 2024;19(8):e0303960; doi: 10.1371/journal. pone.0303960.
 
17.
Knechtle B, Villiger E, Weiss K, Valero D, Gajda R, Scheer V, de Lira CAB, Braschler L, Nikolaidis PT, Vancini RL, Cuk I, Rosemann T, Thuany M. Analysis of the 72-hour ultra-marathon using a predictive XG Boost model. Sport Sci Health. 2024; 21:181–94; doi: 10.1007/s11332-024-01243-3.
 
18.
Zhu, P., Sun, F. Sports athletes’ performance prediction model based on machine learning algorithm. In: Abawajy J, Choo KK, Islam R, Xu Z, Atiquzzaman M. (eds). International Conference on Applications and Techniques in Cyber Intelligence ATCI 2019. ATCI 2019. Advances in Intelligent Systems and Computing, vol. 1017. Cham: Springer; 2020; doi: 10.1007/978-3-030-25128- 4_62.
 
19.
The 20 countries with the largest gross domestic product (GDP) in 2024. Available from: http://www. statista.com/statistics/268173/countries-withthe- largest-gross-domestic-product-gdp (accessed 4.10.2024).
 
20.
Roebuck GS, Fitzgerald PB, Urquhart CM, Ng SK, Cicuttini FM, Fitzgibbon BM. The psychology of ultra-marathon runners: a systematic review. Psychol Sport Exerc. 2018;37:43–58.
 
21.
Pott, C., Spiekermann, C., Breuer, C., ten Hompel M. Managing logistics in sport: a comprehensive systematic literature review. Manag Rev Q. 2023; doi: 10.1007/s11301-023-00361-5.
 
22.
Knechtle B, Valero D, Villiger E, Scheer V, Weiss K, Forte P, Thuany M, Vancini RL, de Lira CAB, Nikolaidis PT, Ouerghi N, Rosemann T. The fastest 24-hour ultramarathoners are from Eastern Europe. Sci Rep. 2024;14(1):28703; doi: 10.1038/ s41598-024-75260-0.
 
23.
Knechtle B, Thuany M, Valero D, Villiger E, Nikolaidis PT, Cuk I, Rosemann T, Weiss K. Europe has the fastest Ironman race courses and the fastest Ironman age group triathletes. Sci Rep. 2024; 14(1):20903; doi: 10.1038/s41598-024-71866-6.
 
24.
Yang P, Xu R, Le Y. Factors influencing sports performance: a multi-dimensional analysis of coaching quality, athlete well-being, training intensity, and nutrition with self-efficacy mediation and cultural values moderation. Heliyon. 2024;10(17): e36646; doi: 10.1016/j.heliyon.2024.e36646.
 
25.
Semenova EA, Hall ECR, Ahmetov II. Genes and Athletic Performance: The 2023 Update. Genes. 2023;14(6):1235; doi: 10.3390/genes14061235.
 
26.
Sarzynski MA, Bouchard C. World-class athletic performance and genetic endowment. Nat Metab. 2020;2(9):796–8; doi: 10.1038/s42255-020-02 33-6.
 
27.
Yang J, Ju FY, Tian ZG. Sports and social interaction: sports experiences and attitudes of the urban running community. Int J Environ Res Public Health. 2022;19(21):14412; doi: 10.3390/ijerph192114412.
 
28.
Gretschel J. Aleksandr Sorokin Shatters the 24- Hour World Record. 2022. Available from: http:// www.runnersworld.com/news/a41283472/aleksandr- sorokin-breaks-24-hour-world-record/ (accessed 24.11.2024).
 
29.
Ultra runner Sorokin improves own 100km record. Available from: http://www.reuters.com/sports/ athletics/ultra-runner-sorokin-improves-own- 100km-record-2023-05-14 (accessed 24.11.2024).
 
30.
Alpen-Marathon. Available from: http://www.alpen- marathon.de (accessed 24.11.2024).
 
31.
Trans Slovenia Winter edition 220km ultra run. Available from: http://winter.trans-slo.si/en/ (accessed 24.11.2024).
 
32.
Sahara Race Namibian. Available from: http:// www.4deserts.com/sahararace/ (accessed 24.11. 2024).
 
33.
Desert Ultra 250 km Stage Race. Available from: https://www.racingtheplanet.co... (accessed 24.11.2024).
 
34.
The Namib Race. Available from: https://www. racingtheplanet.com/namibrace (accessed 24.11. 2024).
 
35.
Haugen T, Sandbakk Ø, Seiler S, Tønnessen E. The training characteristics of world-class distance runners: an integration of scientific literature and results-proven practice. Sports Med Open. 2022;8(1):46; doi: 10.1186/s40798-022-00438-7.
 
36.
El Helou N, Taff let M, Berthelot G, Tolaini J, Marc A, Guillaume M, Hausswirth C, Toussaint J-F. Impact of environmental parameters on marathon running performance. PLOS ONE. 2012;7(5): e37407; doi: 10.1371/journal.pone.0037407.
 
37.
Steyerberg EW, Vickers AJ, Cook NR, Gerds T, Gonen M, Obuchowski N, et al. Assessing the performance of prediction models: a framework for traditional and novel measures. Epidemiology. 2010;21(1):128–38; doi: 10.1097/EDE.0b013e31 81c30fb2.
 
38.
Thomas, A., Theokritoff, E., Lesnikowski, A. Reckien D, Jagannathan K, Cremades R, Campbell D, Joe ET, Sitati A, Singh C, Segnon AC, Pentz B, Musah-Surugu JI, Mullin CA, Mach KJ, Gichuki L, Galappaththi E, Chalastani VI, Ajibade I, Ruiz-Diaz R, Grady C, Garschagen M, Ford J, Bowen K; Global Adaptation Mapping Initiative Team. Global evidence of constraints and limits to human adaptation. Reg Environ Change. 2021; 21:85; doi: 10.1007/s10113-021-01808-9.
 
39.
Thuany M, Pereira S, Hill L, Santos JC, Rosemann T, Knechtle B, Gomes TN. Where are the best european road runners and what are the country variables related to it?. Sustainability. 2021;13(14):7781; doi: 10.3390/su13147781.
 
40.
Teare G, Taks M. Sport events for sport participation: a scoping review. Front Sports Act Living. 2021;3:655579; doi: 10.3389/fspor.2021.655579.
 
41.
Thompson MA. Physiological and Biomechanical Mechanisms of Distance Specific Human Running Performance. Integr Comp Biol. 2017;57(2): 293–300; doi: 10.1093/icb/icx069.
 
42.
Peter L, Rüst CA, Knechtle B, Rosemann T, Lepers R. Sex differences in 24-hour ultra-marathon performance--a retrospective data analysis from 1977 to 2012. Clinics. 2014;69(1):38–46; doi: 10.6061/clinics/2014(01)06.
 
43.
Thuany M, Gomes TN, Villiger E, Weiss K, Scheer V, Nikolaidis PT, Knechtle B. Trends in participation, sex differences and age of peak performance in time-limited ultramarathon events: a secular analysis. Medicina. 2022;58(3):366; doi: 10.3390/medicina58030366.
 
44.
Knechtle B, Witthöft A, Valero D, Thuany M, Nikolaidis PT, Scheer V, Forte P, Weiss K. Elderly female ultra-marathoners reduced the gap to male ultra-marathoners in Swiss running races. Sci Rep. 2023;13(1):12521; doi: 10.1038/s41598-023-39 690-6.
 
45.
Bartolomei S, Grillone G, Di Michele R, Cortesi M. A comparison between male and female athletes in relative strength and power performances. J Funct Morphol Kinesiol. 2021;6(1):17; doi: 10.3390/jfmk6010017.
 
46.
Hallam LC, Amorim FT. Expanding the gap: an updated look into sex differences in running performance. Front Physiol 2021;12(804149), doi: 10.3389/fphys.2021.804149.
 
47.
Barnes KR, Kilding AE. Strategies to improve running economy. Sports Med. 2015;45(1):37– 56; doi: 10.1007/s40279-014-0246-y.
 
48.
Zouhal H, Jayavel A, Parasuraman K, Hayes LD, Tourny C, Rhibi F, Laher I, Ben Abderrahman A, Hackney AC. Effects of exercise training on anabolic and catabolic hormones with advanced age: a systematic review. Sports Med. 2022;52(6):1353– 68; doi: 10.1007/s40279-021-01612-9.
 
49.
Senefeld J, Smith C, Hunter SK. Sex differences in participation, performance, and age of ultramarathon runners. Int J Sports Physiol Perform 2016;11(7):635-42, doi:10.1123/ijspp.2015-0418.
 
50.
Motevalli M, Tanous D, Wirnitzer G, Leitzmann C, Rosemann T, Knechtle B, Sex differences in racing history of recreational 10 km to ultra runners (Part B) – results from the NURMI study (Step 2). Int J Environ Res Public Health. 2022; 19(20):13291; doi: 10.3390/ijerph192013291.
 
51.
Berger NJA, Best R, Best AW, Lane AM, Millet GY, Barwood M, Marcora S, Wilson P, Bearden S. Limits of ultra: towards an interdisciplinary understanding of ultra-endurance running performance. Sports Med. 2024;54(1):73–93; doi: 10.1007/ s40279-023-01936-8.
 
52.
Tanous D, Motevalli M, Wirnitzer G, Leitzmann C, Rosemann T, Knechtle B, Wirnitzer K. Sex differences in training behaviors of 10 km to ultraendurance runners (Part A) – results from the NURMI study (Step 2). Int J Environ Res Public Health. 2022;19(20):13238; doi: 10.3390/ijerph 192013238.
 
53.
Motevalli M, Wagner KH, Leitzmann C, Tanous D, Wirnitzer G, Knechtle B, Wirnitzer K. Female endurance runners have a healthier diet than malesresults from the NURMI study (Step 2). Nutrients. 2022;14(13):2590; doi: 10.3390/nu14132590.
 
54.
Kosendiak A, Król M, Ligocka M, Kepinska M. Eating habits and nutritional knowledge among amateur ultrarunners. Front Nutr. 2023;10:113 7412; doi: 10.3389/fnut.2023.1137412.
 
55.
Wirnitzer K, Motevalli M, Tanous D, Gregori M, Wirnitzer G, Leitzmann C, Hill L, Rosemann T, Knechtle B. Supplement intake in half-marathon, (ultra-)marathon and 10-km runners – results from the NURMI study (Step 2). J Int Soc Sports Nutr. 2021;18(1):64; doi: 10.1186/s12970-021- 00460-2.
 
56.
Nikolaidis PT, Alvero-Cruz JR, Villiger E, Rosemann T, Knechtle B. The age-related performance decline in marathon running: the paradigm of the berlin marathon. Int J Environ Res Public Health. 2019;16(11):2022; doi: 10.3390/ijerph16112022.
 
57.
Thuany M, Gomes TN, Rosemann T, Knechtle B, de Souza RF. No Trends in the age of peak performance among the best half-marathoners and marathoners in the world between 1997–2020. Medicina. 2021;57(5):409; doi: 10.3390/medicina57050409.
 
58.
Nikolaidis PT, Rosemann T, Knechtle B. Sex differences in the age of peak marathon race time. Chin J Physiol. 2018;61(2):85–91; doi: 10.4077/ CJP.2018.BAG535.
 
59.
Zingg MA, Rüst CA, Rosemann T, Lepers R, Knechtle B. Runners in their forties dominate ultramarathons from 50 to 3,100 miles. Clinics. 2014; 69(3):203–11; doi: 10.6061/clinics/2014(03)11.
 
60.
Paradisis GP, Zacharogiannis E, Bissas A, Hanley B. Recreational runners gain physiological and biomechanical benefits from super shoes at marathon paces. Int J Sports Physiol Perform. 2023; 18(12):1420–6; doi: 10.1123/ijspp.2023-0115.
 
61.
Zrenner M, Heyde C, Duemler B, Dykman S, Roecker K, Eskofier BM. Retrospective analysis of training and its response in marathon finishers based on fitness app data. Front Physiol. 2021;12: 669884; doi: 10.3389/fphys.2021.669884.
 
62.
Toresdahl BG, McElheny K, Metzl J, Ammerman B, Chang B, Kinderknecht J. A Randomized study of a strength training program to prevent injuries in runners of the New York City marathon. Sports Health. 2020;12(1):74–9; doi: 10.1177/194173811 9877180.
 
63.
León-Guereño P, Galindo-Domínguez H, Balerdi- Eizmendi E, Rozmiarek M, Malchrowicz-Mośko E. Motivation behind running among older adult runners. BMC Sports Sci Med Rehabil. 2021;13(1): 138; doi: 10.1186/s13102-021-00366-1.
 
64.
Waśkiewicz Z, Nikolaidis PT, Chalabaev A, Rosemann T, Knechtle B. Motivation in ultra-marathon runners. Psychol Res Behav Manag. 2018;12:31– 7; doi: 10.2147/PRBM.S189061.
 
65.
Jenkin CR, Eime RM, Westerbeek H, O’Sullivan G, van Uffelen JGZ. Sport and ageing: a systematic review of the determinants and trends of partici pation in sport for older adults. BMC Public Health. 2017;17(1):976; doi: 10.1186/s12889-017-4970-8.
 
66.
Hughes DC, Ellefsen S, Baar K. Adaptations to Endurance and Strength Training. Cold Spring Harb Perspect Med. 2018;8(6); doi: 10.1101/ cshperspect.a029769.
 
67.
Ganse B, Degens H. Current insights in the agerelated decline in sports performance of the older athlete. Int J Sports Med 2021;42(10):879–88; doi: 10.1055/a-1480-7730.
 
68.
Lazarus NR, Lord JM, Harridge SDR. The relationships and interactions between age, exercise and physiological function. J Physiol 2019;597(5): 1299–309; doi: 10.1113/jp277071.
 
69.
Garavan TN, O’Brien F, Duggan J, Gubbins C, Lai Y, Carbery R, Heneghan S, Lannon R, Sheehan M, Grant K. The Current state of research on training effectiveness. In: Garavan TN, O’Brien F, Duggan J, et al. (eds.) Learning and Development Effectiveness in Organisations. An Integrated Systems- Informed Model of Effectiveness. Cham: Springer International Publishing; 2020; pp. 99– 152.
 
70.
Malchrowicz-Mośko E, Płoszaj K, Firek W. Citius, altius, fortius vs. slow sport: a new era of sustainable sport. Int J Environ Res Public Health. 2018; 15(11):2414; doi: 10.3390/ijerph15112414.
 
71.
Malchrowicz-Mośko E, Poczta J. Running as a form of therapy socio-psychological functions of mass running events for men and women. Int J Environ Res Public Health. 2018;15(10):2262; doi: 10.3390/ijerph15102262.
 
72.
Poczta J, Malchrowicz-Mośko E. Modern running events in sustainable development – More than just taking care of health and physical condition (Poznan half marathon case study). Sustainability. 2018;10(7):2145; doi: 10.3390/su10072145.
 
73.
Łuczak J. Risk management for running events’ organization on the example of half marathons in Poland. IBIMA Business Review, 2021, art. 560 080; doi: 10.5171/2021.560080.
 
74.
Waśkowski Z, Jasiulewicz A. Consumer engagement using digital technologies in the process of co-creating consumer value in the sports market. J Phys Educ Sport. 2021;21(143):1131–41; doi: 10.7752/jpes.2021.s2143.
 
75.
Malchrowicz-Mośko E, Poczta J. A small-scale event and a big impact-Is this relationship possible in the world of sport? The meaning of heritage sporting events for sustainable development of tourism-experiences from Poland. Sustainability. 2018;10(11):4289; doi: 10.3390/su10114289.
 
76.
Malchrowicz-Moško E, Chlebosz K. Sport spectator consumption and sustainable management of sport event tourism; fan motivation in high performance sport and non-elite sport. A case study of horseback riding and running: a comparative analysis. Sustainability. 2019;11(7):2178; doi: 10.3390/su11072178.
 
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