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Record W2950173513 · doi:10.1177/1941738119849112

Injury in Brazilian Jiu-Jitsu Training

2019· article· en· W2950173513 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSports Health A Multidisciplinary Approach · 2019
Typearticle
Languageen
FieldMedicine
TopicSports injuries and prevention
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineAthletesPhysical therapyAthletic trainingDemographicsClubDemography

Abstract

fetched live from OpenAlex

BACKGROUND: Brazilian jiu-jitsu (BJJ) is a grappling-based martial art that can lead to injuries both in training and in competition. There is a paucity of data regarding injuries sustained while training in BJJ, in both competitive and noncompetitive jiu-jitsu athletes. HYPOTHESIS: We hypothesize that most BJJ practitioners sustain injuries to various body locations while in training and in competition. Our primary objective was to describe injuries sustained while training for BJJ, both in practice and in competition. Our secondary objectives were to classify injury type and to explore participant and injury characteristics associated with wanting to quit jiu-jitsu after injury. STUDY DESIGN: Descriptive epidemiology study. METHODS: We conducted a survey of all BJJ participants at a single club in Hamilton, Ontario, Canada. We developed a questionnaire including questions on demographics, injuries in competition and/or training, treatment received, and whether the participant considered discontinuing BJJ after injury. RESULTS: < 0.001). Two-thirds of injured participants required medical attention, with 15% requiring surgery. Participants requiring surgical treatment were 6.5 times more likely to consider quitting compared with those requiring other treatments, including no treatment (odds ratio [OR], 6.50; 95% CI, 1.53-27.60). Participants required to take more than 4 months off training were 5.5 times more likely to consider quitting compared with those who took less time off (OR, 5.48; 95% CI, 2.25-13.38). CONCLUSION: The prevalence of injury is very high among BJJ practitioners, with 9 of 10 practitioners sustaining at least 1 injury, commonly during training. Injuries were primarily sprains and strains to fingers, the upper extremity, and neck. Potential participants in BJJ should be informed regarding significant risk of injury and instructed regarding appropriate precautions and safety protocols. CLINICAL RELEVANCE: Clinicians should be aware of the substantial risk of injury among BJJ practitioners and the epidemiology of the injuries as outlined in this article.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.108
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.025
GPT teacher head0.335
Teacher spread0.310 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it