Evidence map›Paper›PMID 38580778›Full record

ArticleScientific reports2024

Analysis of over 1 million race records shows runners from East African countries as the fastest in 50-km ultra-marathons.

Katja Weiss, David Valero, Elias Villiger, Mabliny Thuany, Pedro Forte, Robert Gajda, Volker Scheer, Sreten Sreckovic, Ivan Cuk, Pantelis T Nikolaidis and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
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  3. Article
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  5. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 10 institutions in 6 countries.

Katja WeissInstitute of Primary Care, University of Zurich, Zurich, Switzerland.
David ValeroUltra Sports Science Foundation, Pierre-Benite, France.
Elias VilligerKlinik für Allgemeine Innere Medizin, Kantonsspital St. Gallen, St. Gallen, Switzerland.
Mabliny ThuanyFaculty of Sports, University of Porto, Porto, Portugal.
Pedro ForteCI-ISCE, Higher Institute of Educational Sciences of the Douro, Penafiel, Portugal.
Robert GajdaCenter for Sports Cardiology at the Gajda-Med Medical Center in Pułtusk, Pułtusk, Poland.
Volker ScheerUltra Sports Science Foundation, Pierre-Benite, France.
Sreten SreckovicCollege of Sports and Health, Belgrade, Serbia.
Ivan CukFaculty of Sport and Physical Education, University of Belgrade, Belgrade, Serbia.
Pantelis T NikolaidisSchool of Health and Caring Sciences, University of West Attica, Athens, Greece.
Marilia Santos AndradeDepartment of Physiology, Federal University of São Paulo, São Paulo, Brazil.
Beat KnechtleInstitute of Primary Care, University of Zurich, Zurich, Switzerland. beat.knechtle@hispeed.ch.
Center for Health, Exercise and Sport Sciences · RSJan Długosz University · PLKantonsspital St. Gallen · CHPolytechnic Institute of Bragança · PTUniversidade do Porto · PTUniversidade Federal de São Paulo · BRUniversity of Belgrade · RSUniversity of St. Gallen · CHUniversity of West Attica · GRUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 50-km ultra-marathon is a popular race distance, slightly longer than the classic marathon distance. However, little is known about the country of affiliation and age of the fastest 50-km ultra-marathon runners and where the fastest races are typically held. Therefore, this study aimed to investigate a large dataset of race records for the 50-km distance race to identify the country of affiliation and the age of the fastest runners as well as the locations of the fastest races. A total of 1,398,845 50-km race records (men, n = 1,026,546; women, n = 372,299) were analyzed using both descriptive statistics and advanced regression techniques. This study revealed significant trends in the performance of 50-km ultra-marathoners. The fastest 50-km runners came from African countries, while the fastest races were found to occur in Europe and the Middle East. Runners from Ethiopia, Lesotho, Malawi, and Kenya were the fastest in this race distance. The fastest 50-km racecourses, providing ideal conditions for faster race times, are in Europe (Luxembourg, Belarus, and Lithuania) and the Middle East (Qatar and Jordan). Surprisingly, the fastest ultra-marathoners in the 50-km distance were found to fall into the age group of 20-24 years, challenging the conventional belief that peak ultra-marathon performance comes in older age groups. These findings contribute to a better understanding of the performance models in 50-km ultra-marathons and can serve as valuable insights for runners, coaches, and race organizers in optimizing training strategies and racecourse selection.

Indexed as

Athletic PerformanceMarathon RunningAdultAge DistributionEast African PeopleFemaleHumansKenyaMalePhysical EnduranceYoung Adult

Identifiers

PMID38580778
PMCPMC10997622
OpenAlexW4393990679

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.