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Reproducibility Of A 20 Km Cycling Time-trial In Competitive Cyclists Using The Velotron Pro Cycle Ergometer

2005· article· en· W2063960612 on OpenAlexaff
Ben C. Sporer, Donald C. McKenzie

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2005
Typearticle
Languageen
FieldMedicine
TopicSports Performance and Training
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsTime trialCyclingReproducibilityCycle ergometerPhysical therapyElite athletesLimits of agreementCoefficient of variationMedicineBicycle ergometerVentilatory thresholdAthletesVO2 maxMathematicsStatisticsInternal medicineHeart rateBlood pressure

Abstract

fetched live from OpenAlex

Evaluation of performance enhancement in elite athletes is best achieved when using a test that closely simulates actual sport performance. It is also important that the test is as reliable and reproducible as elite athlete performance between competitions (∼ 1% coefficient of variation [CV]). Cycling time trial tests using air-braked cycle ergometers have been shown to be both valid and reproducible in trained cyclists. Reproducibility of time-trial performance using the Velotron Pro electronically-braked cycle ergometer has not yet been reported in such a group. Purpose The purpose of this study was to evaluate performance reproducibility in a laboratory-based 20 km cycling time-trial using the Velotron Pro cycle ergometer in competitive cyclists. Methods Fifteen (13 males, 2 females) highly trained competitive cyclists(maximal aerobic power [VO2max] = 68.4 ± 5.7 ml kg−1min−1) participated in this study. Each subject performed one VO2max test and 3 separate 20 km time trials (TT1, TT2, TT3). Each time trial was separated by a minimum 48 hours with no intense exercise 24 hours prior. Subjects received no feedback as to their performances during the time trial. Data from all time trials were compared using a one-way analysis of variance with alpha set at 0.05. CV and 95% confidence limits (CI) were calculated between individual trials. Results Performance time (Ttot) (30.4 ± 1.9, 30.6 ± 1.9, and 30.7 ± 2.1 min) and average power output (Wavg) (319 ± 47, 314 ± 47, 310 ± 49 watts) were not different across TT1–TT3. Ttot was highly related between TT1 and TT2 (r = 0.99; p<0.01) as well as between TT2 and TT3 (r = 0.99; p<0.01). A low CV was demonstrated between individual trials for Ttot (TT1–TT2 = 0.5% and 95% CI was 0.4% to 0.9%; TT2–TT3 = 0.9% and 95% CI was 0.7% to 1.5%). Conclusions These data show that performance in a 20 km time-trial using the Velotron Pro ergometer is highly reproducible in competitive cyclists. Furthermore, the CV variance demonstrated between trials is comparable to that expected during actual performance in elite athletes. Supported by the World Anti-Doping Agency and Racermate Inc.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.332
Teacher spread0.299 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2005
Admission routes1
Has abstractyes

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