Lifestyle Modifications to Prevent and Manage Hypertension for Exercise Physiologists and Fitness Professionals
Bibliographic record
Abstract
Information tailored to the interest of exercise physiologists and fitness professionals is provided regarding the Canadian Hypertension Society's 2005 evidence-based recommendations on lifestyle modifications for the prevention and management of hypertension. The evidence from randomized controlled (RC) trials and systematic reviews of RC trials published in peer reviewed journals was reviewed by subject matter experts and then appraised independently by content and methodology experts. Blood pressure lowering was accepted as a primary outcome. All recommendations were debated and then voted on by the 43 members of the Canadian Hypertension Education Program's Evidence-Based Recommendations Task Force and achieved at least 95% consensus. Lifestyle modifications to prevent and/or manage hypertension include: (1) perform 30-60 minutes of aerobic exercise on 4- 7 days of the week; (2) maintain a healthy body weight (BMI 18.5-24.9 kg/m2) and waist circumference (<102 cm for men and <88 cm for women); (3) limit alcohol consumption to no more than 14 standard drinks per week in men or 9 standard drinks per week in women; (4) follow a diet that emphasizes fruits, vegetables, and low-fat dairy products and which is reduced in fat and cholesterol (DASH diet); (5) restrict salt intake; and (6) consider stress management in selected individuals.
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".