Exercise as medicine: Role in the management of primary hypertension
Bibliographic record
Abstract
Primary hypertension affects ∼1 in 5 Canadians and significantly increases the risk of myocardial infarction, stroke, heart failure, and early mortality. Guidelines for the management of hypertension recommend lifestyle modifications (e.g., increased physical activity, smoking cessation, moderate alcohol consumption, improved dietary choices) as the frontline strategy to prevent and manage high blood pressure (BP). In particular, acute and chronic aerobic exercise has consistently been shown to reduce resting and ambulatory BP, with the largest effects in hypertensive patients. Current guidelines recommend 30-60 min of moderate- to vigorous-intensity aerobic exercise 4-7 days per week, in addition to activities of daily living. The role of resistance training in the management of hypertension is less clear, although available data suggests resistance exercise can be performed safely without risk of increasing BP or adverse events. Presently, resistance exercise (8-10 exercises, 1-2 set(s) of 10-15 repetitions, 2-3 days/week) is advocated only as an adjunct exercise modality. Patients desiring to begin an exercise program should complete the Physical Activity Readiness Questionnaire (PAR-Q or PAR-Q+) or as required, the Electronic Physical Activity Readiness Medical Examination (ePARmed-X) or Physician Clearance Form in consultation with their clinician and (or) trained exercise professional. A greater emphasis on utilizing exercise as medicine will produce positive nonpharmacologic benefits for hypertensive patients and improve overall cardiovascular risk profiles.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".