THE DOSE-RESPONSE RELATIONSHIP BETWEEN SHORT DURATION HIGH-INTENSITY EXERCISE AND EPOC.
Bibliographic record
Abstract
This study examined the dose-response relationship between single bouts of short duration high-intensity exercise and the fast component of excess post-exercise oxygen consumption (EPOCFC). On three separate occasions, 21 active males (22 ± 0.6 years, 74.1 ± 2.0 kg, 55.5 ± 1.8 ml·kg−1·min−1) performed single all-out sprints of 5, 10 and 20 seconds (s) from a stationary start on a friction loaded cycle ergometer (.08kg·kg of body weight−1). EPOCFC was defined as the VO2 (ml), above resting O2 (ml·min−1), in the 3-minute period immediately following the end of the 5, 10 and 20s sprints.Table 1: Total Work (Joules) Performed In 5, 10 and 20s Sprints, and the Resulting EPOCFC (ml) and EPOCFC Per Minute (ml·min−1) for the 1st, 2nd and 3rd Minutes.Two-fold (5s to 10s) and four-fold (5s to 20s) increases in the duration of high-intensity exercise resulted in 37% and 95% increases in EPOCFC. Regardless of sprint duration, approximately 62% of the total VO2 (ml) occurred in the 1st minute of EPOCFC. This pattern parallels the resynthesis of Phosphocreatine, an oxygen dependent process, which is half completed in ≈ 1 minute. It was concluded that a systematic increase in the dose of short duration high-intensity exercise does not produce a proportional response on the fast component of EPOC.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".