What is the World Recommending? An International Perspective of Isometric Handgrip Training for Lowering Blood Pressure
Bibliographic record
Abstract
Hypertension (chronically elevated blood pressure) is the leading risk factor for death and disability worldwide. An effective exercise intervention to prevent and treat this condition is isometric handgrip training, a form of isometric resistance exercise. Little is known about the global endorsement of this novel intervention among international hypertension management guidelines. Therefore, the overarching exploratory objective of this study was to locate, compile, and discuss international recommendations for this form of exercise within hypertension management guidelines. A final total of 23 original English-language hypertension management guideline editions published between 2015 and June 2020 were included in the discussion. A total of five governing bodies had a formal recommendation for isometric resistance exercise, and of these, only three specifically mentioned isometric handgrip training. Moreover, five included related statements and/or referenced evidence from reputable isometric resistance exercise literature. In contrast, four governing bodies advised against isometric resistance exercise due to safety concerns. It is critical to determine the awareness levels, as well as standards for recommending isometric resistance exercise, in order to navigate the next steps and encourage maximal uptake of nonpharmaceutical hypertension interventions on a global scale.
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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 | 0.006 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".