Low-Intensity Resistance Exercise with Blood Flow Restriction Improves Balance in Elderly Women: A Comparative Study on the Lower Quarter Y-Balance Test
Bibliographic record
Abstract
Introduction: Enhancing leg muscle strength in elderly could play a crucial role in reducing fall risk. A novel approach to enhance muscular strength involves the use of low-intensity resistance exercises in conjunction with blood flow restriction (BFR), as an alternative to high-intensity exercise. This study aimed to evaluate the effects of low-intensity strength exercise with BFR on lower quarter Y-balance test (LQ-YBT) performance, compare to moderate-intensity strength exercise in elderly female.Methods: The study employed a true experimental randomized design, assessing balance using the LQ-YBT in 26 elderly women over a six-week exercise period. Subjects were divided into two groups: one performing medium-intensity strengthening exercises (≥40-60% 1 RM (Repetition Maximum)) and another engaging in low-intensity strengthening exercises (20-30%1RM) with BFR. The BFR technique involved applying a cuff to the upper third of the thigh with a restrictive pressure of 50 mmHg or 40% Artery Occlusion Pressure, which was released during rest periods.Results: The moderate and BFR groups exhibited notable distinctions in all directions (anterior, posterolateral, posteromedial and composite) for both left and right legs (p<0.001). The disparity in LQ-YBT values between groups was notable in the right anterior (p=0.017), right posterolateral (p<0.001), right composite (p<0.001), left anterior (p=0.007), and left composite (p=0.050) directions.Conclusions: This study showed that low-intensity resistance exercise with BFR for six weeks may yield superior improvements in the LQ-YBT for elderly women compared to moderate-intensity strengthening exercises
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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".