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Effect of Training Level on a Visuomotor Balance Task in Youth with Previous Sport-Related Concussion.

2018· article· en· W2805106922 on OpenAlexaff
Katelyn Mitchell, Michael E. Cinelli

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2018
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsBalance (ability)ConcussionPhysical medicine and rehabilitationIce hockeyAthletesPsychologyPoison controlTask (project management)Video gamePhysical therapyInjury preventionMedicineComputer scienceEngineering

Abstract

fetched live from OpenAlex

INTRODUCTION: The demands of sport require the integration of cognition and sensory inputs to produce more complex, goal-directed movement. Howell and colleagues (1) revealed that the differences in balance control between athletes with or without previous concussion were greater in youth compared young adults during dual-task gait. PURPOSE: 1) To determine if a novel visuomotor dynamic balance task can objectively identify differences between youth hockey players with/without sport-related concussion (SRC); and 2) If there are balance control differences between players who participate in minor hockey and private hockey academy training. METHODS: Youth hockey players (N=47; age=12-17 years), who reported previous SRC (n=17) and CONTROL (n=30). Group 1 was from a minor hockey team (SRC1=4; CONTROL1=12) and group 2 a private hockey academy (SRC2=13, CONTROL2=18). Participants stood in single support on a Nintendo Wii Balance board sampled at 100Hz and performed a lower limb reaching task with their non-stance foot. Five FitLights were arranged on the floor anteriorly at +60°, +30°, and 0° and were used as Go(GREEN)/No-Go(RED) stimuli. Balance control was assessed using RMS velocity of COP (vCOP) in anterior-posterior (A/P) and medial-lateral (M/L) planes. RESULTS: There were significant differences for both A/P vCOP (SRC= 8.04cm/s; CONTROL= 11.04cm/s, p <.05) and M/L vCOP (SRC= 6.27cm/s; CONTROL= 7.72cm/s, p <.05), as the SRC group performed the task slower than CONTROL There were no significant differences between SRC1 and SRC2 in vCOP A/P (p=0.50) or M/L (p=0.26) likewise for CONTROL1 and CONTROL2 vCOP A/P (p=0.88) and M/L (p=0.97). CONCLUSION: The assessment of a visuomotor dynamic balance task can objectively identify youth athletes with previous history of SRC regardless of training levels. Incorporating cognitive-motor tasks may help to improve balance control deficits in youth post-SRC and ensure true readiness for return-to-sport. 1. Howell DR, Osternig LR, Chou LS. Adolescents demonstrate greater gait balance control deficits after concussion than young adults. The American journal of sports medicine. 2015 Mar;43(3):625-32.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0030.000

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 head0.045
GPT teacher head0.344
Teacher spread0.300 · 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 source (direct Gemma or distilled Codex), 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
Published2018
Admission routes1
Has abstractyes

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