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Pulsmätning som ett sätt att studera pacing under cykelmomentet i Ironman triathlon
Linnaeus University, Faculty of Social Sciences, Department of Sport Science.
2018 (Swedish)Independent thesis Advanced level (degree of Master (One Year)), 20 credits / 30 HE creditsStudent thesis
Abstract [sv]

Bakgrund: För att lyckas med att genomföra en Ironman krävs att man som utövare har en strategi gällande hur man ska disponera sin energi för att kunna bli en ”finisher”. Detta kallas pacing eller pacing strategi och är den egenstyrda ansträgningen som kan hjälpa utövaren att lyckas med sitt mål och optimera den egna prestationen. Att paca ”rätt” blir därför viktigt för att optimera den egna prestationen då loppet innehåller tre olika moment: simning, cykling och löpning.

Syfte: Syftet med denna studie var att undersöka pulsmätning som ett sätt att studera och förstå pacing inom Ironman triathlon. Finns det ett samband mellan utövarens intensitet och cykeltid och har de deltagare som haft en liten pulsvariation en bättre sluttid?

Metod: 22 deltagare genomförde ett test för att fastställa sin maxpuls, HRmax. I samband med Ironman Kalmar 2016 registrerades deltagarnas pulsdata med hjälp av pulsmätare och utifrån insamlad pulsdata beräknades deltagarnas intensitet och pulsvariation under cykelmomentet. Dessa värden korrelerades mot deltagarnas cykeltider.

Resultat: Den relativa arbetspulsen för studiegruppen var 140 ±9.2 slag/min. Varken intensitet eller variation i intensitet visade något signifikant samband med sluttid även om en trend mot signifikans fanns för intensitet vs cykeltid, p=0.066.

Slutsats: Spridningen i gruppen gällande vald intensitet var för stor för att tydligt kunna studera intensitetens betydelse för prestation under cykeldelen i ett IronMan och fler studier är nödvändiga för att kunna kartlägga detta.

Abstract [en]

Background: In order to succeed in an Ironman it is necessary to have a strategy on how to dispose your energy during the 8-16 hour race. This is called pacing or pacing strategy and is the self-selected effort that can help the competitor to optimize their performance. Based on heart rate measurement, this is particularly interesting during the 180 km cycle section, where drafting is not allowed.Aim: The aim of this investigation was to study pacing in Ironman thriathlon. Is there a relationship between the competitors intensity and biketime and did those who had smaller variation in intensity achieved a better biketime?Method: 22 competitive triathletes undertook a test to find out their HRmax. In conjunction with Ironman Kalmar 2016 the participants HR-data was registered with heartrate monitors and the data was then analyzed in order to determine the participants mean intensity and variation in intensity. These factors were used to understand pacing based on the participants heartrate and correlated to biketimes for each participant.

Results: Average intensity for the participants was 140 ±9.2 bpm and the results show no significanct correlation between biketime and either the intensity chosen by the competitor or the variation in intensity. However, there was  a trend towards significance for the intensity vs biketime, p = 0.066.

Conclusion: This study was unable to determine the effect of pacing due to the selected intensity within the group was too large to clearly study the importance of intensity for performance during the cycle part of an IronMan and further studies are required.

Place, publisher, year, edition, pages
2018. , p. 22
Keywords [en]
drafting, heart rate, non-drafting, ultra-endurance, % HRmax
Keywords [sv]
drafting, intensitet, non-drafting, pulsvariation, % HRmax
National Category
Sport and Fitness Sciences
Identifiers
URN: urn:nbn:se:lnu:diva-73742OAI: oai:DiVA.org:lnu-73742DiVA, id: diva2:1202671
Subject / course
Sport Science
Supervisors
Examiners
Available from: 2018-05-02 Created: 2018-04-28 Last updated: 2018-05-02Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
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  • vancouver
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More styles
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  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • text
  • asciidoc
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