Kaatsu Training and Its Correlation with Reduced Risk of Falling in the Elderly Population: Based on Evidence
Bibliographic record
Abstract
Introduction: Vascular occlusion consists of training that involves decreasing blood flow to the muscles to be worked through the use of a blood pressure cuff or other device that restricts blood during exercise. To verify the influence of the use of Kaatsu Training in the relationship process with the reduction of the risk of falls in the elderly population.
 Materials and Methods: We reviewed periodic trials in Pubmed/Medline, Cochrane, Science Direct and PEDro databases published from 2017 to 2023.
 Results: The vascular occlusion method has been widely used, it acts by reducing blood flow in the muscle, thus restricting the return, especially the quadriceps is weak, strengthening it results in a decrease in the incidence and progression of the disease. Presenting beneficial effects, such as reduction of pain and discomfort, reduction of overload and joint stress, hypertrophy and functional capacity.
 Conclusion: Training with partial vascular occlusion may be a good alternative for gaining strength in the knee extensor musculature in elderly people who, due to pain, have low tolerance for high-load exercises for muscle strengthening.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".