Valid Measures Of Aerobic Capacity Obtained From An Anaerobically Dominant Task
Bibliographic record
Abstract
The aerobic response to traditionally anaerobic work is profound, however developing a single test to analyze both capacities has thus far been unsuccessful. A novel test, called the SeaRed, was developed to assess aerobic and anaerobic capacities simultaneously. PURPOSE:To establish the validity of a test designed to identify both aerobic and anaerobic exercise capacities. METHODS:: 14 participants from a University Track and Field program were recruited. Participants reported to the laboratory three times to complete in a counterbalanced order, a Graded VO2max, a Wingate Anaerobic test (WAnT), and a SeaRed test (combined assessment of aerobic and anaerobic). Each test was performed on the same electronically braked cycle ergometer. The SeaRed test consisted of a three minutes warm up at 100W followed by two minutes at approximately ventilatory threshold, followed immediately by a 45s sprint with 7.5% of bodyweight applied to the flywheel. Aerobic capacity (VO2max) was assessed against the graded VO2max protocol, where work was increased every 2 minutes by 50W, and by 25W as the participant neared maximal intensity. Anaerobic variables of peak power (PP), average power (MP), and fatigue index (FI) were compared to a 45s WAnT with 7.5% of body weight applied to the flywheel. RESULTS:The SeaRed protocol obtained a valid measurement of the VO2peak (53.9 ± 7.9 kgmin-1) as compared to that obtained in the graded VO2max protocol (55 ± 7.6 kgmin-1, p=1.00). An ICC, using an absolute agreement model, of the SeaRed and the VO2max test revealed a strong intraclass correlation (0.911). Intraclass correlations using an absolute agreement model show strong correlations in absolute PP (0.92), MP (0.95), FI (0.90), relative PP (0.76), and relative MP (0.78), however; significant differences were observed between PP and MP for both absolute and relative values (p<0.05). Large confidence intervals were also present for PP, MP, FI, relative PP and relative MP. CONCLUSIONS:Valid measurements of aerobic capacity were obtained through the traditionally anaerobic task, indicating the SeaRed can be used as an abbreviated VO2max test. However, more work is required before the SeaRed is a suitable replacement for the WAnT.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".