Evidence map›Paper›PMID 24626948›Full record

ArticleClinics (Sao Paulo, Brazil)2014

Runners in their forties dominate ultra-marathons from 50 to 3,100 miles.

Matthias Alexander Zingg, Christoph Alexander Rüst, Thomas Rosemann, Romuald Lepers, Beat Knechtle

Abstract read
In one paragraph

Article in Clinics (Sao Paulo, Brazil), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Review
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  12. Pacing strategy in male elite and age group 100 km ultra-marathoners.Open access journal of sports medicine · 2015
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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

5 authors.

Matthias Alexander ZinggUniversity of Zurich, Institute of General Practice and for Health Services Research, Zurich, Switzerland, University of Zurich, Institute of General Practice and for Health Services Research, Zurich, Switzerland.
Christoph Alexander RüstUniversity of Zurich, Institute of General Practice and for Health Services Research, Zurich, Switzerland, University of Zurich, Institute of General Practice and for Health Services Research, Zurich, Switzerland.
Thomas RosemannUniversity of Zurich, Institute of General Practice and for Health Services Research, Zurich, Switzerland, University of Zurich, Institute of General Practice and for Health Services Research, Zurich, Switzerland.
Romuald LepersFaculty of Sport Sciences, University of Burgundy, INSERM U1093, Dijon, France, University of Burgundy, Faculty of Sport Sciences, INSERM U1093, Dijon, France.
Beat KnechtleGesundheitszentrum St. Gallen, St. Gallen, Switzerland, Gesundheitszentrum St. Gallen, St. Gallen, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study investigated performance trends and the age of peak running speed in ultra-marathons from 50 to 3,100 miles.

methodsThe running speed and age of the fastest competitors in 50-, 100-, 200-, 1,000- and 3,100-mile events held worldwide from 1971 to 2012 were analyzed using single- and multi-level regression analyses.

resultsThe number of events and competitors increased exponentially in 50- and 100-mile events. For the annual fastest runners, women improved in 50-mile events, but not men. In 100-mile events, both women and men improved their performance. In 1,000-mile events, men became slower. For the annual top ten runners, women improved in 50- and 100-mile events, whereas the performance of men remained unchanged in 50- and 3,100-mile events but improved in 100-mile events. The age of the annual fastest runners was approximately 35 years for both women and men in 50-mile events and approximately 35 years for women in 100-mile events. For men, the age of the annual fastest runners in 100-mile events was higher at 38 years. For the annual fastest runners of 1,000-mile events, the women were approximately 43 years of age, whereas for men, the age increased to 48 years of age. For the annual fastest runners of 3,100-mile events, the age in women decreased to 35 years and was approximately 39 years in men.

conclusionThe running speed of the fastest competitors increased for both women and men in 100-mile events but only for women in 50-mile events. The age of peak running speed increased in men with increasing race distance to approximately 45 years in 1,000-mile events, whereas it decreased to approximately 39 years in 3,100-mile events. In women, the upper age of peak running speed increased to approximately 51 years in 3,100-mile events.

Indexed as

Age FactorsAdultAthletic PerformanceFemaleHumansMaleMiddle AgedPhysical EnduranceRegression AnalysisRunningSex FactorsTime FactorsYoung Adult

Identifiers

PMID24626948
PMCPMC3935130

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.