Psychosocial Outcomes of Sport Concussions in Youth Hockey Players
Bibliographic record
Abstract
The objective is to evaluate the psychological outcomes arising from sport concussions. Participants included AA and AAA level Bantam and Midget hockey players (n = 672) between 12 and 17 years of age (mean = 15.0 years; SD = 1.2) enrolled in a large cohort study. All participants completed baseline tests including the Behavior Assessment System for Children, 2nd Edition (BASC2) and a pre-season medical questionnaire (PSQ) completed by parents that included a retrospective report of prior concussions and injuries. Players were assigned to 4 groups: no injury (NONE), concussion (CO) and musculoskeletal (MSK) injuries or both (COMB). Participants in the CO and COMB groups demonstrated significantly higher rates of psychological difficulties compared with other groups [F(63, 1800) = 1.43, p = .016, partial η(2) = 0.05) and on select clinical scales measuring atypicality, locus of control, anxiety, depression, sense of inadequacy, somatization, and attention. In addition, results from the composite clinical scales reached statistical significance for internalizing problems and emotional symptom index. Effect sizes were minimal with the exception of comparisons between the NONE and COMB groups where effect sizes were medium to large. Proportions above clinical cut-off scores set by the BASC2 were higher for the COMB group compared with CO, MSK, or NONE groups. Results suggest smaller percentage of youth may be more prone to psychological sequelae following concussion.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".