Evidence map›Paper›PMID 26357600›Full record

ArticleSpringerPlus2015

Nation related participation and performance trends in 'Norseman Xtreme Triathlon' from 2006 to 2014.

Christoph A Rüst, Nicola Luigi Bragazzi, Alessio Signori, Michael Stiefel, Thomas Rosemann, Beat Knechtle

Abstract read
In one paragraph

Article in SpringerPlus, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

  1. Article
  2. Modeling Pe2rformance in IRONMANSports medicine - open · 2025
    Article
  3. Article
  4. Review
  5. A Machine Learning Approach to Finding the Fastest Race Course for Professional Athletes Competing in IronmanInternational journal of environmental research and public health · 2023
    Article
  6. Review
  7. Participation and Performance Trends in the Oldest 100-km Ultramarathon in the World.International journal of environmental research and public health · 2020
    Article
  8. Article
  9. Article
  10. Article
  11. Article
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

6 authors.

Christoph A RüstInstitute of Primary Care, University of Zurich, Zurich, Switzerland.
Nicola Luigi BragazziDepartment of Health Sciences (DISSAL), School of Public Health, University of Genoa, Genoa, Italy ; Department of Health Sciences (DISSAL), Section of Biostatistics, University of Genoa, Genoa, Italy ; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, Genoa, Italy ; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Neurosurgery, University of Genoa, Genoa, Italy.
Alessio SignoriDepartment of Health Sciences (DISSAL), Section of Biostatistics, University of Genoa, Genoa, Italy.
Michael StiefelInstitute of Primary Care, University of Zurich, Zurich, Switzerland.
Thomas RosemannInstitute of Primary Care, University of Zurich, Zurich, Switzerland.
Beat KnechtleInstitute of Primary Care, University of Zurich, Zurich, Switzerland ; Facharzt FMH für Allgemeinmedizin, Gesundheitszentrum St. Gallen, Vadianstrasse 26, 9001 St. Gallen, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the nation related participation and performance trends in triathletes competing in 'Norseman Xtreme Triathlon' between 2006 and 2014 using mixed models, one-way analysis of variance and multi-variate regression analyses. A total of 1594 athletes (139 women and 1455 men) originating from 34 different countries finished the race. Most of the athletes originated from Norway, Germany, Great Britain, Sweden, USA and France. In the mixed model analysis considering all finishers (n = 1594), with calendar year, sex and country as independent and overall race time as dependent variable, calendar year (p < 0.0001), sex (p < 0.0001), country (p < 0.0001) and the interaction sex × calendar year (p = 0.012) were significant. In the model where overall race time was separated in the three disciplines, we found interactions such as country × discipline (p < 0.0001), year × discipline (p < 0.0001), sex × discipline (p < 0.0001), calendar year × sex (p = 0.044), calendar year × sex × discipline (p = 0.031). Overall race time decreased every year, above all in the year 2012. Women were slower than men, but women reduced this gender gap year after year and above all in the year 2007 (p = 0.001). Athletes from Norway and Germany were faster than those from Great Britain and other countries. Split times of the discipline decreased throughout the years. In particular, the discipline having more impact on overall race time was cycling. Most of the podiums were achieved by Norwegian women and men. For women, the fastest split and transition times were achieved by Norwegian women with exception of the run where German women were faster. Norwegian men were the fastest in split and transition times although French athletes were the fastest in swimming. Across years, the annual three fastest Norwegian women improved in cycling, running, overall race time and transition times but not Norwegian and German men. British men, however, improved running split times and transition times. To summarize, most of the finishers in 'Norseman Xtreme Triathlon' originated from Norway and the fastest race times were achieved by Norwegian women and men. Norwegian women improved race times across years but not Norwegian men.

Indexed as

CyclingMixed modelRunningSwimmingUltra-endurance

Identifiers

PMID26357600
PMCPMC4556721

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.