Literature DB >> 18523040

Examining pacing profiles in elite female road cyclists using exposure variation analysis.

C R Abbiss1, L Straker, M J Quod, D T Martin, P B Laursen.   

Abstract

OBJECTIVE: In this study, the amplitude and time distribution of power output in a variety of competitive cycling events through the use of a new mathematical analysis was examined: exposure variation analysis (EVA).
DESIGN: Descriptive field study.
SETTING: Various professional road cycling events, including; a 5-day-eight-stage tour race, a 1-day World Cup event and the Australian National Individual Time Trial Championships. PARTICIPANTS: 9 elite female cyclists (mean (SD), mass = 57.8 (3.4) kg, height = 167.3 (2.8) cm, Vo(2)peak = 63.2 (5.2) ml kg(-1) min(-1)).
INTERVENTIONS: None. MAIN OUTCOME MEASUREMENTS: The variation in power output and the quantification of the total time and acute time spent at various exercise intensities during competitive professional cycling were examined. Predefined levels of exercise intensity that elicited first ventilation threshold, second ventilation threshold and maximal aerobic power were determined from a graded exercise test performed before the events and compared with power output during each event.
RESULTS: EVA exposed that power output during the time trial was highly variable (EVA(SD) = 2.81 (0.33)) but more evenly distributed than the circuit/criterium (4.23 (0.31)) and road race events (4.81 (0.96)).
CONCLUSION: EVA may be useful for illustrating variations in the amplitude and time distribution of power output during cycling events. The specific race format influenced not only the overall time spent in various power bands, but also the acute time spent at these exercise intensities.

Entities:  

Mesh:

Year:  2008        PMID: 18523040     DOI: 10.1136/bjsm.2008.047787

Source DB:  PubMed          Journal:  Br J Sports Med        ISSN: 0306-3674            Impact factor:   13.800


  4 in total

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

Authors:  Sam Shi Xuan Wu; Jeremiah J Peiffer; Jeanick Brisswalter; Kazunori Nosaka; Wing Yin Lau; Chris R Abbiss
Journal:  Eur J Appl Physiol       Date:  2015-01-04       Impact factor: 3.078

Review 2.  Factors influencing pacing in triathlon.

Authors:  Sam Sx Wu; Jeremiah J Peiffer; Jeanick Brisswalter; Kazunori Nosaka; Chris R Abbiss
Journal:  Open Access J Sports Med       Date:  2014-09-16

3.  Self-Selected Pacing during a 24 h Track Cycling World Record.

Authors:  Beat Knechtle; Thomas Rosemann; Pantelis Theodoros Nikolaidis
Journal:  Int J Environ Res Public Health       Date:  2019-08-16       Impact factor: 3.390

Review 4.  Power profiling and the power-duration relationship in cycling: a narrative review.

Authors:  Peter Leo; James Spragg; Tim Podlogar; Justin S Lawley; Iñigo Mujika
Journal:  Eur J Appl Physiol       Date:  2021-10-27       Impact factor: 3.078

  4 in total

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