Postexercise hypotensive response in stroke patients following acute moderate or high intensity cycling session
Bibliographic record
Abstract
BACKGROUND: Hypertension is highly prevalent in stroke patients and reducing blood pressure is a priority. Aerobic exercise is known to induce postexercise hypotensive responses, but limited studies have documented this concept in stroke patients. The purpose was to investigate the effect of a single bout of moderate intensity continuous training (MICT) and high-intensity interval training (HIIT) on postexercise ambulatory blood pressure with patients with prior ischemic stroke or transient ischemic attack (TIA). METHODS: Ten hypertensive adults (mean age: 70±9 years) with prior ischemic stroke or TIA participated using a randomized crossover design. Ambulatory blood pressure was monitored for up to 8 hours after either ergocycle MICT or HIIT of respectively 50% and 95% of peak power output. Blood pressure was compared to pre-exercise resting measure. RESULTS: 0.90; P<0.001) of ~1.2 mmHg/hour and returned to pre-exercise measure after 8 hours. Effect of the two exercise conditions over time did not significantly differ (P=0.278). Diastolic blood pressure was not affected by both exercises. CONCLUSIONS: Those results suggest that HIIT induce a systolic blood pressure reduction of greater magnitude than MICT immediately after cycling exercise among patients with prior ischemic stroke or TIA. For both exercises, effects on ambulatory blood pressure are similar and persist up to 8 hours.
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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".