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Record W3214810786 · doi:10.1136/bjsports-2021-ioc.299

327 Lower dynamic neck strength is associated with history of concussion in varsity female soccer players

2021· article· en· W3214810786 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePoster presentations · 2021
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsWestern University
Fundersnot available
KeywordsConcussionAthletesReceiver operating characteristicPhysical therapyCohortMedicinePoison controlInjury preventionInternal medicineMedical emergency

Abstract

fetched live from OpenAlex

<h3>Background</h3> There is mounting evidence that dynamic neck strength may play a role in protecting against concussion. It is also well established that athletes with a prior history of concussion are at higher risk than those with no prior history. <h3>Objective</h3> To assess if there is a difference in dynamic neck strength between athletes with a self-declared history of concussion (HxC) and athletes with no history of concussion (No-HxC). Secondly, to determine if dynamic neck strength can be used as a predictor for previous concussion history through a receiver operating characteristic curve (ROC) and hence, be used as a proxy for future concussion risk. <h3>Design</h3> Observational cohort design <h3>Setting</h3> Varsity level female competitive soccer players <h3>Participants</h3> 28 athletes (average age 19.4 years, range 18–21), separated by self-declared history of concussion (HxC n=10 and No-HxC n=18) <h3>Assessment</h3> Dynamic neck strength was calculated as the peak Rate of Force Development (RFD) in pounds-force per second (lb<sub>f</sub> *s<sup>-1</sup>) achieved during 50 revolutions on the TopSpin360 neuromuscular neck-training device. <h3>Results</h3> RFD for HxC was 3.85 lb<sub>f</sub> *s<sup>-1</sup> (95% CI 2.53 - 5.17 lb<sub>f</sub> *s<sup>-1</sup>) while RFD for No-HxC was 7.14 lb<sub>f</sub> *s<sup>-1</sup> (95% CI 5.17 – 9.12 lb<sub>f</sub> *s<sup>-1</sup>) Independent samples t test p = 0.012. ROC cut-off value of 4.5 lb<sub>f</sub> *s<sup>-1</sup> provides a sensitivity of 72% and specificity of 80% for detecting those with a history of concussion. <h3>Conclusions</h3> In this pilot study of varsity female soccer athletes, those with a history of concussion demonstrate significantly lower dynamic neck strength measurements compared to teammates with no history of concussion. Knowing that HxC athletes are at higher risk of future concussion, the ROC cut-off value of 4.5 lb<sub>f</sub> *s<sup>-1</sup> provides a starting point for future studies using dynamic neck strength values for assessing baseline concussion risk in athletes.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.086
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0020.000

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 head0.054
GPT teacher head0.335
Teacher spread0.281 · 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