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Analysis Of Test Battery For Elite Ice Hockey Players

2020· article· en· W3041031871 on OpenAlexaff
Pierre-Marc Ferland, Sébastien Lagrange, Philippe Roy, Alain Steve Comtois

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2020
Typearticle
Languageen
FieldMedicine
TopicWinter Sports Injuries and Performance
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsSprintHeart rateBlood lactateVertical jumpFinish lineIce hockeyJumpMathematicsPhysical therapyMedicinePhysical medicine and rehabilitationInternal medicinePhysicsBlood pressureBiology

Abstract

fetched live from OpenAlex

PURPOSE: The purpose was to conduct a test battery on elite ice-hockey players to better understand the relationships between the different assessments. METHODS: Subject’s (n=41) physical characteristics were measured prior to testing session. Countermovement Jump (CMJ) height was estimated with a Bosco mat. Stationary Broad Jump (BJ) distance was measured from toes (starting line) to the closest heel. The best of 2 completed attempts was retained for both jump tests. On-ice repeated sprints’ time was measured with photo cells timing gates (TCi Smart Start, Brower Timing System, Utah, USA). Protocol consisted of 9 sprints of 40 m with 3 seconds of recovery between sprints that permitted subjects to turn around and return to the finish line which now became the starting line for the next sprint. Heart rate was measured with a heart rate (HR) monitor (RS400, Polar, FI). Local muscle oxygenation (SmO2) was measured on vastus lateralis with a muscle oxygen monitor (MOXY, Minnesota, USA). Blood lactate ([La+]) was measured with a lactate analyzer (Lactate Pro, Akray, Japan). Rated Perceived Exertion (RPE) was measured with a Borg Scale (6-20). Correlations were calculated (SPSS Ver 25) using a 2-tailed Pearson correlation analysis. Significance was set at p<0.05. Subjects characteristics are presented as means and standard deviations. SUMMARY OF RESULTS: Multiple significant (p<0.05) relationships were observed (r=-0.47-0.81). Findings show that age (r=-0.53-0.51), years of experience in resistance training (r=-0.32-0.48), weight (r=-0.33-0.47) and lean body mass (-0.38-0.46) were significantly correlated with jump and on ice sprint performance (Speed, Time, [La+] and RPE). The CMJ seems to be more important than the BJ for on ice sprint performance (r=-0.53-0.40 vs -0.19-0.28). Maximal HR is significantly correlated with fatigue index (r=0.41). The Borg scale seems to be a good tool to see if hockey players gave a maximal effort as it presents multiple significant correlations with sprint performance (r=-0.37-0.34). SmO2 was significantly correlated with [La+] (r=-0.35). CONCLUSION: Results of the present study should be utilised by ice-hockey strength and conditioning coaches to improve their testing battery. Further research should include resistance training exercises in their analysis.

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)0.000
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 score0.029
Threshold uncertainty score0.703

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.004
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.019
GPT teacher head0.295
Teacher spread0.276 · 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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