Comparing the Effects of Pneumatic Compression and Blood Flow Restriction on Muscle Recovery
Bibliographic record
Abstract
Eccentric muscle contractions are often associated with exercise induced muscle damage (EIMD). EIMD can result in decreased force output, increased stiffness, and a loss in muscle function leading to decreased performance. Two of the many proposed treatments of EIMD are intermittent pneumatic compression (IPC) and blood flow restriction (BFR). BFR relies on occlusion and reintroduction of blood. IPC acts as an air-pressure massage, acting on a specific part of the limb, releasing, and re-inflating up the limb. PURPOSE: The purpose of this study is to determine whether BFR or pneumatic compression could minimize the effect of EIMD on muscle function, as measured by countermovement jump (CMJ) height, following a single bout of downhill running. METHODS: 21 (F = 11) young recreationally active volunteers were randomized into one of three groups: control (no intervention), IPC, and BFR. IPC consisted of 20-minutes of Therabody Recovery Air (Therabody Inc.; Los Angeles, CA) treatment at 100 mmHg. BFR consisted of 4 sets of 3-minutes at 100% occlusion, followed by a 2-minute break at 0% occlusion using the Delphi BFR device (Delphi Medical Innovations Inc.; Vancouver, BC). Participants completed 20 minutes of downhill running at a -12% grade at a speed of 9.65 km/hr (6.00 mph). Participants refrained from exercise 24-hours prior to following exercise. CMJ height was collected using VALD Forcedecks (VALD, Australia) pre-exercise, immediately post-exercise, immediately post-treatment, and 24-hours post-exercise. Data is presented as change (post-pre), and are shown as mean ± SD. This was an interim statistical analysis. A One-way ANOVA was conducted to assess differences between groups. RESULTS: There was no significant difference between change in CMJ height between groups regarding change from pre- to post-exercise (IPC ∆ = -1.83 ± 1.69 cm ; BFR ∆ = -0.16 ± 1.42 cm ; CON ∆ = 0.10 cm ± 3.088; p = 0.295); pre- to post-treatment (IPC ∆ = = -2.1 ± 2.26 cm; BFR ∆ = -1.42 ± 1.495 cm; CON ∆ = -1.33 ± 2.16 cm; p = 0.769) or pre- to 24hr post-exercise (IPC ∆ = -1.5 ± 1.54 cm; BFR ∆ = -0.94 ± 2.19 cm; CON ∆ = -0.82 ± 1.75 cm; p = 0.766). CONCLUSION: There is no indication that BFR or IPC may be more effective at modulating the effects of EIMD on muscle function as compared to control.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".