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Does Oxygen Delivery Predict Performance During An "All-Out" Critical Power Test?

2010· article· en· W2315905826 on OpenAlexaff
J. Mikhail Kellawan, Michael Bravo, Jackie S. Moynes, Robert F. Bentley, Rebecca Shantz, Michael E. Tschakovsky

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2010
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsQueen's University
Fundersnot available
KeywordsIsometric exerciseSupine positionVO2 maxForearmMathematicsAnaerobic exercisePhysical therapyMedicinePhysical medicine and rehabilitationCardiologyHeart rateInternal medicineSurgeryBlood pressure

Abstract

fetched live from OpenAlex

Critical power (CP) is the maximal power output where oxygen uptake and metabolic markers can be maintained for an extended period of time without drifting to maximal values. Classically, CP is identified from several repeats of constant load exercise to exhaustion across a range of exercise intensities, resulting in a hyperbolic function: Tlim = W'/(P-CP), where Tlim is the time to exhaustion, P is the power output, CP is the asymptote and W' is the curvature constant. Recently it has been demonstrated that power/force/torque stabilizes by the final 30 s of single "all out" cycling or knee extension exercise bouts maintained for ∼3-5 min and this is strongly correlated with the traditional CP test value. However, the O2 delivery (O2D) during all out CP tests remains uncharacterized and may provide insight into physiological mechanisms that determine performance in such a test. PURPOSE: To determine if O2D differences between healthy subjects predicts task performance during all out CP tests. METHODS: 7 healthy male subjects (24.85 ± 8.475 yrs) completed a maximal effort isometric handgrip exercise test. Exercise consisted of rhythmic isometric maximum voluntary forearm handgrip contractions (MVC's; kg. 1 s contraction: 2 s relaxation duty cycle) for 10 minutes in the supine position with the arm at heart level. Subjects were required to attempt an MVC on every contraction, with visual feedback on force output provided continuously on a computer screen. Constant verbal encouragement was provided, but subjects were not aware of elapsed time. CP was calculated as the average peak contraction force during the last 30 s of the all out exercise trials. Forearm blood flow (FBF) during exercise was calculated from brachial artery diameter (echo ultrasound) and mean blood velocity (Doppler ultrasound). Mean arterial pressure was measured with finger photoplethysmography. Arterial content (CaO2) & O2D was calculated based on arterial oxygen content ([haemoglobin] from venous blood sample and oxygen saturation from pulse oximetry and FBF). RESULTS: The mean CP estimate was 26.91 kg ± 4.9. FBF plateau during the CP timeframe at 507.09 ± 166.14 ml/min. Pearson Product Moment correlation between FBF and CP was r = 0.784 (P = 0.037). The mean O2D during the last 30 s of exercise was 101.24 ± 30.38 O2 ml/min (correlation of O2D & CP r = 0.78, P = 0.038). CaO2 was 20.34 ± 1.23 O2 ml/dL and was not correlated with CP (P = 2.05). O2D accounted for 61% of the variance in CP (r2 = 0.61) CONCLUSIONS: Skeletal muscle oxygen delivery is a strong predictor of critical power. This supports the contention that factors determining vasodilatory responsiveness and/or capacity are important determinants of CP.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.006
GPT teacher head0.228
Teacher spread0.222 · 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 designObservational
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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Citations1
Published2010
Admission routes1
Has abstractyes

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