Survey of Blood Flow Restriction Training Applications in Sports Medicine and Performance Practice Across North America
Bibliographic record
Abstract
Abstract Colapietro, MA, Lee, JZ, and Vairo, GL. Survey of blood flow restriction training applications in sports medicine and performance practice across North America. J Strength Cond Res 38(5): 856–863, 2024—This study profiled current clinical applications of blood flow restriction (BFR) training and observed side effects by surveying active sports medicine and performance personnel across North America. An online survey consisting of questions derived from a related position statement was distributed through professional organizations, email listservs, and social media. Personnel with experience applying or prescribing BFR training with permanent residence within the United States or Canada were eligible to participate. Variables captured included demographics (profession, practice setting), BFR equipment, treatment parameters, observed side effects, and personal perceptions regarding BFR training. An alpha level of p < 0.05 determined significance. A convenience sample included 72 clinicians with 67 being from the United States. Athletic trainers ( n = 35) and physical therapists ( n = 30) primarily participated. Chi-square test of independence indicated that a higher proportion of physical therapists (90.3%) report receiving formal education in BFR training compared with athletic trainers (65.7%) ( = 4.1, p = 0.043). Parameters varied between respondents for exercise prescription and occlusion settings. Respondents primarily followed position statement recommendations with individualized pressure selections for resistance (80.9%) and aerobic (84.8%) BFR modes. Side effects reported included delayed onset muscle soreness (66.2%), inability to continue because of pain (28%), and numbness (22.5%). Personal perceptions between athletic trainers and physical therapists were compared using independent t -tests. Physical therapists indicated higher confidence in safety (difference = 0.37 ± 0.32, p = 0.026), understanding recommendations (difference = 0.47 ± 0.37, p = 0.011), and theoretical principles (difference = 0.80 ± 0.53, p = 0.004). Despite variation in BFR parameters used, sports medicine personnel demonstrate compliance with position statement recommendations and report mild side effects.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".