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Record W2142665299 · doi:10.3109/09638288.2010.505678

Boosting in athletes with high-level spinal cord injury: knowledge, incidence and attitudes of athletes in paralympic sport

2010· article· en· W2142665299 on OpenAlexaff
Yagesh Bhambhani, Jennifer Mactavish, Sharon Warren, W. R. Thompson, Elizabeth S. Bressan, Marco Túlio de Mello, Sean Tweedy, Laurie A. Malone, Kennet Fröjd, Peter Van de Vliet, Yves Vanlandewijck

Bibliographic record

VenueDisability and Rehabilitation · 2010
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsUniversity of ManitobaUniversity of Alberta
Fundersnot available
KeywordsAthletesSpinal cord injuryMedicinePhysical therapyWheelchairAutonomic dysreflexiaRehabilitationIncidence (geometry)Physical medicine and rehabilitationPsychologySpinal cordPsychiatry

Abstract

fetched live from OpenAlex

UNLABELLED: Autonomic dysreflexia (AD) is unique to individuals with spinal injuries (SCI) at T6 or above and can be voluntarily induced. Although AD improves wheelchair racing performance in some athletes, it also elicits exaggerated blood pressure, which could be dangerous. The International Paralympic Committee considers AD doping and banned its use. PURPOSE: The purpose of this study is to evaluate AD knowledge, incidence and attitudes (KIA) of Paralympians with SCI. METHODS: An existing questionnaire was modified to include questions of AD KIA, validated by three experts and piloted with a small sample. It was administered on-line, mailed to members of a scientific network and distributed during the Beijing Paralympic Games. Fisher Exact test was used to evaluate differences across gender, injury and education. RESULTS: Of 99 participants, 54.5% had previously heard of AD while 39.4% were unaware; 16.7%, all males, had used AD to enhance performance. Participants reported that AD was (1) useful for middle (78.6%) and long distance (71.4%), marathon (64.3%) and wheelchair rugby (64.3%); (2) somewhat dangerous (48.9%), dangerous (21.3%) or very dangerous (25.5%) to health. Results were not influenced by age, injury level or injury duration. CONCLUSIONS: Findings indicate the need for educational programmes directed towards enhancing the AD knowledge of rehabilitation professionals, coaches and trainers working with SCI individuals.

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.616

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.033
GPT teacher head0.379
Teacher spread0.346 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations71
Published2010
Admission routes1
Has abstractyes

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