[OP.8A.04] AMBULATORY BLOOD PRESSURE REDUCTION FOLLOWING HIGH-INTENSITY INTERVAL EXERCISE PERFORMED IN WATER OR DRYLAND CONDITION
Bibliographic record
Abstract
Objective: We aimed to compare prolonged hypotension following moderate-intensity continuous exercise (MICE), high-intensity interval exercise (HIIE) in dry land or HIIE in immersed condition, using 24-h ambulatory blood pressure monitoring (ABPM). Design and method: Forty-two individuals (Table 1) suffering from hypertension or with a baseline blood pressure (BP) > = 130/85 mmHg (systolic/diastolic, SBP/DBP), were randomly assigned to performing one of the three following exercises on a stationary cycle: MICE (24-min at 50% peak power output (PPO)) or HIIE in dry land (two sets of 10-min with phases of 15-sec at 100% PPO interspersed by 15-sec of passive recovery) or HIIE in up-to-the-chest immersed condition. ABPM and ambulatory pulse wave velocity (PWV) were assessed during the 24-h after.Results: While MICE modified none of the 24-h average hemodynamic variables, dryland HIIE induced a 24-h BP decrease (SBP: −3.6 ± 5.7 / DBP: −2.8 ± 3.0 mmHg, P < 0.05) and, to a much greater extent, immersed HIIE (SBP: −6.8 ± 9.5 / DBP: −3.0 ± 4.5 mmHg, P < 0.05). The one condition that modified 24-h PWV was immersed HIIE (−0.21 ± 0.30 m/s, P < 0.05). Conclusions: HIIE performed on a stationary cycle in immersed condition, appeared more effective than HIIE in dry land and MICE in improving 24-h ABPM. In addition, cycling in water alleviated 24-h arterial stiffness.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.106 | 0.012 |
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".