Characterizing and Comparing Acute Responses of Blood Pressure, Heart Rate, and Forearm Blood Flow to 2 Handgrip Protocols
Bibliographic record
Abstract
PURPOSE: Growing evidence supports handgrip exercise training for reducing resting blood pressure (BP), with inconsistent exercise protocols reported throughout the literature. To verify safety of such protocols, real-time cardiovascular responses must be assessed. Consequently, this research sought to evaluate the acute impact of dissimilar handgrip protocols on the cardiovascular responses of BP, heart rate (HR), and forearm blood flow. METHODS: Using a randomized intraindividual crossover design, 20 post-menopausal women completed 2 distinct handgrip protocols compared with a nonexercise control: 4 × 2-min sustained grips at 30% moderate intensity with 1-min rest between sets (ZONA), and 32 × 5-sec intermittent grips at maximal intensity with 5-sec rest between sets (MINT). Cardiovascular responses were measured throughout exercise and post-exercise recovery. RESULTS: Compared to ZONA, the MINT protocol required less time and less exercise effort, yet caused greater average BP perturbations (systolic, MINT: 16.9 ± 12.9 mm Hg, ZONA: 7.9 ± 11.6 mm Hg; diastolic, MINT: 8.7 ± 7.2 mm Hg, ZONA: 4.5 ± 4.9 mm Hg) (P < .05), with peak BP changes far below published safety guidelines. Average HR responses were similarly elevated between protocols (MINT: 5.4 ± 4.9 beats/min, ZONA: 3.4 ± 3.6 beats/min). Post-exercise recovery of BP and HR occurred swiftly following MINT while remaining elevated following ZONA. CONCLUSIONS: Handgrip exercise protocols with distinct design features (ie, grip intensity, grip strategy, and exercise duration) cause dissimilar acute cardiovascular responses. Careful and controlled attention should be directed toward determining how such acute dissimilarities influence corresponding training outcomes. Given the confirmed safety of acute BP perturbations, future researchers can have confidence in prescribing even the high-intensity MINT protocol for at-home, unsupervised activity.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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".