Evidence map›Paper›PMID 25557388›Full record

ArticleEuropean journal of applied physiology2015

Pacing strategies during the swim, cycle and run disciplines of sprint, Olympic and half-Ironman triathlons.

Sam Shi Xuan Wu, Jeremiah J Peiffer, Jeanick Brisswalter, Kazunori Nosaka, Wing Yin Lau, Chris R Abbiss

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Article in European journal of applied physiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
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  7. 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
  8. Article
  9. Article
  10. Cut-Off Values in the Prediction of Success in Olympic Distance Triathlon.International journal of environmental research and public health · 2020
    Article
  11. Sex Differences in Swimming Disciplines-Can Women Outperform Men in Swimming?International journal of environmental research and public health · 2020
    Review
  12. Article
  13. Article
  14. Article
  15. Celebrating 40 Years of Ironman: How the Champions Perform.International journal of environmental research and public health · 2019
    Article
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  17. 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

6 authors.

Sam Shi Xuan WuCentre for Exercise and Sport Science Research, School of Exercise and Health Sciences, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, Australia, samwusx@gmail.com.
Jeremiah J Peiffer
Jeanick Brisswalter
Kazunori Nosaka
Wing Yin Lau
Chris R Abbiss

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study investigated the influence of distance on self-selected pacing during the swim, cycle and run disciplines of sprint, Olympic and half-Ironman (HIM) distance triathlon races.

methodEight trained male triathletes performed the three individual races in <2 months. Participants' bikes were fitted with Schoberer Rad Meßtechnik to monitor speed, power output and heart rate during the cycle discipline. Global positioning system was worn to determine speed and heart rate during the swim and run disciplines.

resultAn even swim pacing strategy was adopted across all distances. A more stochastic pacing was observed during the HIM cycle [standard deviation of exposure variation analysis (EVASD) = 3.21 ± 0.61] when compared with the sprint cycle discipline (EVASD = 3.84 ± 0.44, p = 0.018). Only 20.9 ± 4.1 % of the cycling time was spent more than 10 % above the mean power output in the HIM, compared with 43.8 ± 2.9 % (p = 0.002) and 37.7 ± 11.1 % (p = 0.039) during the sprint and Olympic distance triathlons, respectively. Conversely, 13.6 ± 5.1 % of the cycling time was spent 5-10 % below the mean power output during the HIM, compared with 5.9 ± 1.2 % (p = 0.034) and 8.0 ± 5.1 % (p = 0.045) during the sprint and Olympic distance triathlons, respectively. A negative pacing strategy was adopted during the sprint distance run, compared with positive pacing strategy during the Olympic and HIM.

conclusionResults of this study suggest that pacing strategies during triathlon are highly influenced by distance and discipline, and highlight the importance of developing pacing strategies based on distance, strengths and individual fitness.

Indexed as

AdultBicyclingHeart RateHumansMaleMiddle AgedOxygen ConsumptionRunningSwimming

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Registered trials

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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.