Can Anaerobic Performance Be Improved by Remote Ischemic Preconditioning?
Bibliographic record
Abstract
Remote ischemic preconditioning (RIPC) provides a substantial benefit for heart protection during surgery. Recent literature on RIPC reveals the potential to benefit the enhancement of sports performance as well. The aim of this study was to investigate the effect of RIPC on anaerobic performance. Seventeen healthy participants who practice regular physical activity participated in the project (9 women and 8 men, mean age 28 ± 8 years). The participants were randomly assigned to an RIPC intervention (four 5-minute cycles of ischemia reperfusion, followed by 5 minutes using a pressure cuff) or a SHAM intervention in a crossover design. After the intervention, the participants were tested for alactic anaerobic performance (6 seconds of effort) followed by a Wingate test (lactic system) on an electromagnetic cycle ergometer. The following parameters were evaluated: average power, peak power, the scale of perceived exertion, fatigue index (in watt per second), peak power (in Watt), time to reach peak power (in seconds), minimum power (in Watt), the average power-to-weight ratio (in watt per kilogram), and the maximum power-to-weight ratio (in watt per kilogram). The peak power for the Wingate test is 794 W for RIPC and 777 W for the control group (p = 0.208). The average power is 529 W (RIPC) vs. 520 W for controls (p = 0.079). Perceived effort for RIPC is 9/10 on the Borg scale vs. 10/10 for the control group (p = 0.123). Remote ischemic preconditioning does not offer any significant benefits for anaerobic performance.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".