Evidence map›Paper›PMID 24379708›Full record

ArticleOpen access journal of sports medicine2013

Participation and performance trends in ultracycling.

Mohannad Abou Shoak, Beat Knechtle, Patrizia Knechtle, Christoph Alexander Rüst, Thomas Rosemann, Romuald Lepers

Abstract read
In one paragraph

Article in Open access journal of sports medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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26citing 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

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

  1. Pooled it
  2. Modeling Pe2rformance in IRONMANSports medicine - open · 2025
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  12. Can the Performance Gap between Women and Men be Reduced in Ultra-Cycling?International journal of environmental research and public health · 2020
    Article
  13. From Sedentary and Physical Inactive Behaviours to an Ultra Cycling Race: A Mixed-Method Case Report.International journal of environmental research and public health · 2020
    Article
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  17. Review
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Mohannad Abou ShoakInstitute of General Practice and Health Services Research, University of Zurich, Zurich, Switzerland.
Beat KnechtleInstitute of General Practice and Health Services Research, University of Zurich, Zurich, Switzerland ; Gesundheitszentrum St Gallen, St Gallen, Switzerland.
Patrizia KnechtleGesundheitszentrum St Gallen, St Gallen, Switzerland.
Christoph Alexander RüstInstitute of General Practice and Health Services Research, University of Zurich, Zurich, Switzerland.
Thomas RosemannInstitute of General Practice and Health Services Research, University of Zurich, Zurich, Switzerland.
Romuald LepersINSERM U1093, Faculty of Sport Sciences, University of Burgundy, Dijon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundParticipation and performance trends have been investigated in ultramarathons and ultratriathlons but not in ultracycling. The aim of the present study was to investigate (1) participation and performance trends in ultraendurance cyclists, (2) changes in cycling speed over the years, and (3) the age of the fastest male and female ultraendurance cyclists.

methodsParticipation and performance trends in the 5000 km Race Across America (RAAM) and in two RAAM-qualifier races - the 818 km Furnace Creek 508 in the United States and the 715 km Swiss Cycling Marathon in Europe - were investigated using linear regression analyses and analyses of variance.

resultsOn average, ~41% of participants did not finish either the RAAM or the Furnace Creek 508, whereas ~26% did not finish the Swiss Cycling Marathon. Female finishers accounted for ~11% in both the RAAM and the Furnace Creek 508 but only ~3% in the Swiss Cycling Marathon. The mean cycling speed of all finishers remained unchanged during the studied periods. The winner's average speed was faster for men than for women in the RAAM (22.6 ± 1.1 km · h(-1) versus 18.4 ± 1.7 km · h(-1), respectively; average speed difference between male and female winners, 25.0% ± 11.9%), the Swiss Cycling Marathon (30.8 ± 0.8 km · h(-1) versus 24.4 ± 1.9 km · h(-1), respectively; average speed difference between male and female winners, 27.8% ± 9.4%), and the Furnace Creek 508 (27.4 ± 1.6 km · h(-1) versus 23.4 ± 3.0 km · h(-1), respectively; average speed difference between male and female winners, 18.4% ± 13.9%). In both the Furnace Creek 508 and the Swiss Cycling Marathon, ~46% of the finishers were aged between 35 and 49 years. The mean age of winners, both male and female, across the years in the Furnace Creek 508 and in the Swiss Cycling Marathon was 37 ± 10 years.

conclusionThese findings in ultracycling races showed that (1) ~26%-40% of starters were unable to finish, (2) the percentage of female finishers was ~3%-11%, (3) the gender difference in performance was ~18%-28%, and (4) ~46% of the successful finishers were master athletes. Future studies need to investigate the reasons for the low female participation and focus on the age-related performance decline in other ultraendurance events in order to confirm that master athletes are predisposed to ultraendurance performances.

Indexed as

cyclingfinishergender differencemaster athletespeedultraendurance

Identifiers

PMID24379708
PMCPMC3871902

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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.