Acute blood pressure response to exercise in post‐menopausal women
Bibliographic record
Abstract
Chronic blood pressure (BP) reductions resulting from exercise interventions have been linked to an acute vascular response, post‐exercise hypotension (PEH). PEH has traditionally been stimulated using continuous aerobic exercise bouts. The use of isometric handgrip (IHG) contractions to elicit PEH is an emerging area. The present research investigated PEH in response to both ergometer cycling and bilateral IHG contractions in post‐menopausal women, a demographic of imperative concern. Women completed an acclimatization session followed by four experimental sessions; two using IHG as a stimulus and two using ergometer cycling as a stimulus. Pre‐ and post‐exercise BP were determined using an automated sphygmomanometer (BPTru). Participants were 5 post‐menopausal women with an average resting BP of 117.8 ± 1.8 / 79.9 ± 1.7. In contrast to expectation, both of the exercise stimuli induced acute increases in BP. Aerobic stimuli induced increases of 2.1 ± 0.6 / 3.2 ± 0.4. IHG stimuli induced changes of 3.9 ± 0.7 / 3.9 ± 0.5. Further exploration of this relationship is required to determine the exercise protocols which will elicit PEH in this specific population of post‐menopausal women. This information will be valuable in prescribing acute exercise bouts for blood pressure control in this at‐risk demographic. This research was completed with support from the Dr. Terry Kavanagh Research Fellowship. Grant Funding Source : CIHR
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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".