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Record W2255058814 · doi:10.17615/n7m0-rr63

The study of head impact biomechanics in adolescent and youth minor ice hockey players

2019· article· en· W2255058814 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCarolina Digital Repository (University of North Carolina at Chapel Hill) · 2019
Typearticle
Languageen
FieldMedicine
TopicWinter Sports Injuries and Performance
Canadian institutionsnot available
FundersThayer School of Engineering, Dartmouth CollegeInjury Prevention Research CenterOntario Neurotrauma FoundationDartmouth CollegeNational Operating Committee on Standards for Athletic EquipmentUniversity of North Carolina at Chapel HillUSA Hockey Foundation
KeywordsIce hockeyBiomechanicsHead (geology)Minor (academic)Sports biomechanicsPhysical medicine and rehabilitationPsychologyEngineeringSimulationMedicineGeologyAnatomyPolitical science

Abstract

fetched live from OpenAlex

Mild traumatic brain injuries are one of the most clinically difficult conditions to manage in sports medicine. Better understanding the biomechanics of head impacts will allow clinicians and researchers to better implement interventions designed specifically to reduce the incidence of injury. To date, few studies have looked at the biomechanics of head impacts in the young athlete. The overall objective of this dissertation was to evaluate the biomechanics of head impact severity during participation in youth ice hockey, with a specific evaluation of descriptive factors, and intrinsic and extrinsic factors related to impact biomechanics while playing hockey. We studied a two-year cohort of Bantam and Midget-aged ice hockey players, all of whom participated in all practices and games while wearing specially instrumented helmets capable of measuring head impact measures including linear acceleration, rotational acceleration, and the Head Impact Technology severity profile (HITsp). We also video-recorded every game in the first year of the study and developed an evaluation tool in order to characterize a number of aspects related to relative body positioning and overall anticipation of impending collisions. We also recorded a wide range of information including the number of shifts played, cervical muscle strength, player head and neck anthropometrics, measures of trait aggression, and general aerobic fitness. Our data support the notion that anticipating collisions may play a role in minimizing head impact severity. We also found impacts occurring in the open ice were greater than those occurring along the playing boards. Further, illegal player infractions occur at a relatively high frequency and typically result in higher measures of head impact severity than legal collisions, especially as it pertains to elbowing, head contact, and high sticking infractions to the head. Based on our data, it does not appear that those with stronger neck muscles are better able to mitigate the forces associated with head impacts. Our data suggest a continued need to educate our players with the necessary technical skills needed to heighten their awareness on the ice. Coaches and athletes should incorporate body collision exercises in practices, and spend time educating young athletes on these proper checking techniques in an attempt to minimize the risk of injury and increase the safety of ice hockey.

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)0.000
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 score0.004
Threshold uncertainty score0.845

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.011
GPT teacher head0.218
Teacher spread0.207 · 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