Literature DB >> 33670775

Summated Hazard Score as a Powerful Predictor of Fatigue in Relation to Pacing Strategy.

Sylvia Binkley1, Carl Foster1, Cristina Cortis2, Jos J de Koning3, Christopher Dodge1, Scott T Doberstein1, Andrea Fusco2, Salvador J Jaime1, John P Porcari1.   

Abstract

During competitive events, the pacing strategy depends upon how an athlete feels at a specific moment and the distance remaining. It may be expressed as the Hazard Score (HS) with momentary HS being shown to provide a measure of the likelihood of changing power output (PO) within an event and summated HS as a marker of how difficult an event is likely to be perceived to be. This study aimed to manipulate time trial (TT) starting strategies to establish whether the summated HS, as opposed to momentary HS, will improve understanding of performance during a simulated cycling competition. Seven subjects (peak PO: 286 ± 49.7 W) performed two practice 10-km cycling TTs followed by three 10-km TTs with imposed PO (±5% of mean PO achieved during second practice TT and a self-paced TT). PO, rating of perceived exertion (RPE), lactate, heart rate (HR), HS, summated HS, session RPE (sRPE) were collected. Finishing time and mean PO for self-paced (time: 17.51 ± 1.41 min; PO: 234 ± 62.6 W), fast-start (time: 17.72 ± 1.87 min; PO: 230 ± 62.0 W), and slow-start (time: 17.77 ± 1.74 min; PO: 230 ± 62.7) TT were not different. There was a significant interaction between each secondary outcome variable (PO, RPE, lactate, HR, HS, and summated HS) for starting strategy and distance. The evolution of HS reflected the imposed starting strategy, with a reduction in PO following a fast-start, an increased PO following a slow-start with similar HS during the last part of all TTs. The summated HS was strongly correlated with the sRPE of the TTs (r = 0.88). The summated HS was higher with a fast start, indicating greater effort, with limited time advantage. Thus, the HS appears to regulate both PO within a TT, but also the overall impression of the difficulty of a TT.

Entities:  

Keywords:  RPE; cycling; pacing; performance; time trial

Year:  2021        PMID: 33670775      PMCID: PMC7922978          DOI: 10.3390/ijerph18041984

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  44 in total

1.  Effect of competitive distance on energy expenditure during simulated competition.

Authors:  C Foster; J J deKoning; F Hettinga; J Lampen; C Dodge; M Bobbert; J P Porcari
Journal:  Int J Sports Med       Date:  2004-04       Impact factor: 3.118

2.  Modeling the expenditure and reconstitution of work capacity above critical power.

Authors:  Philip Friere Skiba; Weerapong Chidnok; Anni Vanhatalo; Andrew M Jones
Journal:  Med Sci Sports Exerc       Date:  2012-08       Impact factor: 5.411

3.  Pacing in Olympic track races: competitive tactics versus best performance strategy.

Authors:  Christian Thiel; Carl Foster; Winfried Banzer; Jos De Koning
Journal:  J Sports Sci       Date:  2012-06-28       Impact factor: 3.337

4.  Perception of fatigue during simulated competition.

Authors:  Trent Joseph; Blair Johnson; Rebecca A Battista; Glenn Wright; Christopher Dodge; John P Porcari; Jos J de Koning; Carl Foster
Journal:  Med Sci Sports Exerc       Date:  2008-02       Impact factor: 5.411

5.  Session RPE During Prolonged Exercise Training.

Authors:  Andrea Fusco; Christine Knutson; Charles King; Richard P Mikat; John P Porcari; Cristina Cortis; Carl Foster
Journal:  Int J Sports Physiol Perform       Date:  2019-10-28       Impact factor: 4.010

6.  Using modeling to understand how athletes in different disciplines solve the same problem: swimming versus running versus speed skating.

Authors:  Jos J de Koning; Carl Foster; Alejandro Lucia; Maarten F Bobbert; Florentina J Hettinga; John P Porcari
Journal:  Int J Sports Physiol Perform       Date:  2011-06       Impact factor: 4.010

7.  Central and peripheral fatigue: interaction during cycling exercise in humans.

Authors:  Markus Amann
Journal:  Med Sci Sports Exerc       Date:  2011-11       Impact factor: 5.411

8.  Which lap is the slowest? An analysis of 32 world mile record performances.

Authors:  T D Noakes; M I Lambert; R Hauman
Journal:  Br J Sports Med       Date:  2008-04-18       Impact factor: 13.800

9.  25 Years of Session Rating of Perceived Exertion: Historical Perspective and Development.

Authors:  Carl Foster; Daniel Boullosa; Michael McGuigan; Andrea Fusco; Cristina Cortis; Blaine E Arney; Bo Orton; Christopher Dodge; Salvador Jaime; Kim Radtke; Teun van Erp; Jos J de Koning; Daniel Bok; Jose A Rodriguez-Marroyo; John P Porcari
Journal:  Int J Sports Physiol Perform       Date:  2021-01-28       Impact factor: 4.010

10.  Pacing and Hazard Score of Elite Open Water Swimmers During a 5-km Indoor Pool Race.

Authors:  Roberto Baldassarre; Cristian Ieno; Marco Bonifazi; Maria Francesca Piacentini
Journal:  Int J Sports Physiol Perform       Date:  2021-02-12       Impact factor: 4.010

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  1 in total

1.  Heart Rate Does Not Reflect the %VO2max in Recreational Runners during the Marathon.

Authors:  Véronique Billat; Florent Palacin; Luc Poinsard; Johnathan Edwards; Michael Maron
Journal:  Int J Environ Res Public Health       Date:  2022-09-29       Impact factor: 4.614

  1 in total

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