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Effect of Noncustom Bimolar Mouthguards on Peak Ventilation in Ice Hockey Players

2005· article· en· W2066893231 on OpenAlexaff
J. Scott Delaney, David Montgomery

Bibliographic record

VenueClinical Journal of Sport Medicine · 2005
Typearticle
Languageen
FieldHealth Professions
TopicDental Trauma and Treatments
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMouthguardIce hockeyVO2 maxMedicineVentilation (architecture)Heart rateTreadmillPhysical therapyPhysical medicine and rehabilitationInternal medicineBlood pressureMeteorology

Abstract

fetched live from OpenAlex

OBJECTIVE: To examine the effect of a noncustom bimolar mouthguard on ventilation in female varsity ice hockey players. DESIGN: Prospective crossover study. MAIN OUTCOME MEASURES: Expired ventilation (VE), oxygen uptake (VO2), and heart rate were measured in 12 university varsity female ice hockey players while these players were skating on a skating treadmill. Data were collected for each player with and without a mouthguard at both submaximal and maximal efforts to recreate the intensity of games. RESULTS: VE and VO2 were similar (P > 0.05) with and without a noncustom bimolar mouthguard at submaximal effort. The mean VE at maximal effort (VEmax) was significantly lower (P < 0.05) using the mouthguard (108.5 l/min) compared with without a mouthguard (114.1 l/min). VO2 at maximal effort (VO2max) was significantly lower (P < 0.05) using the mouthguard (48.8 mL.kg.min) compared with without a mouthguard (52.4 mL.kg.min). Heart rates were similar for players with and without a mouthguard at both submaximal and maximal efforts. CONCLUSIONS: Noncustom bimolar mouthguards may reduce ventilation and oxygen uptake at maximal efforts by female ice hockey players.

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)0.004
metaresearch head score (Gemma)0.000
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 score0.036
Threshold uncertainty score0.442

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.077
GPT teacher head0.531
Teacher spread0.454 · 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

Citations37
Published2005
Admission routes1
Has abstractyes

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