Assessment of the Reproducibility of Performance Testing on an Air-Braked Cycle Ergometer

Palmer, G. S.; Dennis, Steven C.; Noakes, Timothy D.; Hawley, John A.

doi:10.1055/s-2007-972849

Cited by 151 publications

(133 citation statements)

References 1 publication

(1 reference statement)

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“…This system, which has previously been described in full (Palmer et al 1996), allows the participant to exercise on their own bicycle against a resistance comparable to that of riding on the road. This system has been shown to be both valid and reliable during 20, 40 km (Palmer et al 1996) and max-test protocols (Keen et al 1991).…”

Section: Laboratory Testingmentioning

confidence: 99%

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Optimal power-to-mass ratios when predicting flat and hill-climbing time-trial cycling

et al. 2006

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The purpose of this article was to establish whether previously reported oxygen-to-mass ratios, used to predict flat and hill-climbing cycling performance, extend to similar power-to-mass ratios incorporating other, often quick and convenient measures of power output recorded in the laboratory [maximum aerobic power (W MAP ), power output at ventilatory threshold (W VT ) and average power output (W AVG ) maintained during a 1 h performance test]. A proportional allometric model was used to predict the optimal power-to-mass ratios associated with cycling speeds during flat and hill-climbing cycling. The optimal models predicting flat time-trial cycling speeds were found to be ( . Based on these models, there is evidence to support that previously reported _ V O 2 -tomass ratios associated with flat cycling speed extend to other laboratory-recorded measures of power output (i.e. Wm À0.32). However, the power-function exponents (0.54, 0.46 and 0.58) would appear to conflict with the assumption that the cyclists' speeds should be proportional to the cube root (0.33) of power demand/ expended, a finding that could be explained by other confounding variables such as bicycle geometry, tractional resistance and/or the presence of a tailwind. The models predicting 6 and 12% hill-climbing cycling speeds were found to be proportional to (W MAP m À0.91 ) 0.66 , revealing a mass exponent, 0.91, that also supports previous research.Keywords Power supply and demand AE Cycling speed AE Maximal aerobic power (W MAP ) AE Power at ventilatory threshold (W VT ) AE Average power output (W AVG )

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Section: Laboratory Testingmentioning

confidence: 99%

“…Following standardised calibration procedures (Palmer et al 1996), participants carried out a warm-up at a self-selected intensity for 10 min. Immediately following this, the maximal test was initiated at a workload of 150-200 W. Thereafter, workload increased at a ramp rate of 20 W min À1 (1 W every 3 s).…”

Section: Laboratory Testingmentioning

confidence: 99%

Optimal power-to-mass ratios when predicting flat and hill-climbing time-trial cycling

et al. 2006

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“…Even using welltrained cyclists, Jeukendrup et al [23] reported CoV values ranging between 17 and 40%. In contrast with TTE protocols, testing protocols that employ a fixed quantity of work, distance or time are reported to be more reliable [2,17,23,28,33,34]. However, we recognise that in conducting the present study we have based our field estimates of CP on laboratory estimates derived through TTE protocols.…”

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confidence: 93%

High Agreement between Laboratory and Field Estimates of Critical Power in Cycling

et al. 2013

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Karsten, B., Jobson, S. A., Hopker, J., Jimenez, A., Beedie, C. (2014). High Agreement between Laboratory and Field Estimates of Critical Power in Cycling. International Journal of Sports Medicine, 35 (4), 298-303The purpose of this study was to investigate the level of agreement between laboratory-based estimates of critical power (CP) and results taken from a novel field test. Subjects were fourteen trained cyclists (age 40 +/- 7 yrs; body mass 70.2 +/- 6.5 kg; O-2max 3.8 +/- 0.5 L center dot min(-1)). Laboratory-based CP was estimated from 3 constant work-rate tests at 80%, 100% and 105% of maximal aerobic power (MAP). Field-based CP was estimated from 3 all-out tests performed on an outdoor velodrome over fixed durations of 3, 7 and 12 min. Using the linear work limit (W-lim) vs. time limit (T-lim) relation for the estimation of CP1 values and the inverse time (1/t) vs. power (P) models for the estimation of CP2 values, field-based CP1 and CP2 values did not significantly differ from laboratory-based values (234 +/- 24.4 W vs. 234 +/- 25.5 W (CP1); PpublishersversionPeer reviewe

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“…However, despite the ecological validity of laboratory based testing acknowledged within cycling as a whole, there still remains some dispute between individual cycling disciplines (20,22,9).…”

Section: Introductionmentioning

confidence: 99%

Variability in Laboratory vs. Field Testing of Peak Power, Torque, and Time of Peak Power Production Among Elite Bicycle Motocross Cyclists

Rylands¹,

Roberts

Hurst

2015

Journal of Strength and Conditioning Research

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The aim of this study was to ascertain the variation in elite male BMX cyclists' peak power, torque and time of power production during laboratory and fieldbased testing. Eight male elite BMX riders volunteered for the study and each rider completed 3 maximal sprints using both an SRM ergometer in the laboratory, and a portable SRM power meter on an Olympic standard indoor BMX track. The results revealed a significantly higher peak power (p = < 0.001, 34 ± 9 %) and reduced time of power production (p = < 0.001, 105 ± 24 %) in the field tests when compared to laboratory derived values. Torque was also reported to be lower in the laboratory tests, but not to an accepted level of significance (p = 0.182, 6 ± 8 %).These results suggest that field based testing may be a more effective and accurate measure of a BMX rider's peak power, torque and time of power production.

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Assessment of the Reproducibility of Performance Testing on an Air-Braked Cycle Ergometer

Cited by 151 publications

References 1 publication

Optimal power-to-mass ratios when predicting flat and hill-climbing time-trial cycling

Optimal power-to-mass ratios when predicting flat and hill-climbing time-trial cycling

High Agreement between Laboratory and Field Estimates of Critical Power in Cycling

Variability in Laboratory vs. Field Testing of Peak Power, Torque, and Time of Peak Power Production Among Elite Bicycle Motocross Cyclists

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