Exercise Above Critical Power Elicits Greater Post-Exercise Hypotension than Heavy Exercise Performed to Task Failure
Bibliographic record
Abstract
BACKGROUND: We have previously shown that critical power (CP) is a key threshold determining the magnitude of post-exercise hypotension (PEH); however, whether this finding depended upon 1) the attainment of task failure or 2) could be augmented by increasing exercise duration above CP remained unclear. PURPOSE: To determine 1) whether a similar magnitude of PEH would occur after exhaustive heavy versus supra-CP exercise, and 2) whether the magnitude of PEH depended upon exercise duration above CP. METHODS: Eighteen healthy participants (14 males and 4 females) performed 3 criterion trials involving exercise performed to task failure at power outputs that elicited exhaustion in either 6 min ( WR6 ), 12 min ( WR12 ), or at a heavy intensity (50%ΔGET-CP, halfway between the gas exchange threshold [GET] and CP) and all were followed by 60 min of seated recovery. RESULTS: Although time to exhaustion was greatest in 50%ΔGET-CP (2606 ± 732 s) versus WR12 (790 ± 67 s) and WR6 (397 ± 42 s, P < 0.001), the magnitude of PEH, as indicated by the change in mean arterial pressure (MAP) from baseline ( WR6 vs 50%ΔGET-CP: -12.9 ± 3.3 mm Hg vs -9.4 ± 3.6 mm Hg; WR12 vs 50%ΔGET-CP: -12.8 ± 3.7 mm Hg vs -9.4 ± 3.6 mm Hg, main effect P < 0.01) was greater in WR6 and WR12 than 50%ΔGET-CP (all P < 0.05). However, the changes in MAP were not different between WR6 and WR12 ( P = 0.90). CONCLUSIONS: These findings reinforce the notion that CP is a key threshold determining the magnitude of PEH. Specifically, the magnitude of PEH after exhaustive supra-CP exercise remained greater than heavy exercise when the heavy bout was performed to task failure.
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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 | 0.000 | 0.001 |
| 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 | 0.000 | 0.000 |
| 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".