Correlates of simulated hill climb cycling performance

R.C. Richard Davison, David Swan, Damian Coleman, Steve Bird

Research output: Contribution to journalArticlepeer-review

27 Citations (Scopus)

Abstract

The aim of this study was to assess the relationship between several commonly used aerobic and anaerobic cycle ergometer tests and performance during a treadmill cycling hill climb. Eight competitive cyclists (age 27 +/- 7 years; body mass 73.2 +/- 5.2 kg; height 177 +/- 6 cm; mean +/- s) completed six tests in random order: a lactate minimum test; a Wingate anaerobic power test; and two 6-km climbs at 6% and two 1-km climbs at 12% gradient performed on a motorized treadmill. The mean times and power outputs for the 6-km and 1-km climbs were 16:30 +/- 1:08 min:s and 330 +/- 17.8 W, and 4:19 +/- 0:27 min:s and 411 +/- 24.4 W, respectively. The best individual predictor of 6-km and 1-km performance times was the time for the corresponding climb at the other distance (r = 0.97). The next strongest predictor of both hill climb performances was the average power produced during the Wingate test divided by body mass. Stepwise regression analysis showed that the two variables contributing most to the prediction equation for both climbs were the Wingate average power per unit of body mass and maximal aerobic power divided by total mass (rider + bike), which together accounted for 92 and 96% of the variability in the 6-km and 1-km climbs. In conclusion, among competitive cyclists, the Wingate average power per unit of body mass was the best single predictor of simulated cycling hill climb performance at the distance and gradient used.
Original languageEnglish
Pages (from-to)105-110
Number of pages6
JournalJournal of Sports Sciences
Volume18
Issue number2
DOIs
Publication statusPublished - Feb 2000
Externally publishedYes

Keywords

  • bicycling
  • human performance
  • lactate minimum
  • maximal aerobic power
  • pedal cadence
  • Wingate test

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