Neurocognitive Function and Head Impact Burden over Two Seasons of Youth Tackle Football
Bibliographic record
Abstract
This prospective cohort study sought to determine the association of repetitive sub-concussive head impacts with neurocognitive outcomes in youth tackle football players. The study sample included 166 youth tackle football players over two seasons: 70 primary school players ages 9-12 and 96 high school players ages 15-18. Helmet-based sensors recorded head impacts during practices and games, and impacts were summed to provide a cumulative measure of impact for each season. Participants also were stratified by "high intensity" and "low intensity" groups based on whether they sustained high or low g-force impacts. Participants completed assessments on a variety of neurologic, cognitive, and behavioral outcomes before and after each football season. In the subgroup of 55 players who participated in both seasons, the average combined cumulative impact for primary school and high school players was 7127 (standard deviation [SD] 4670) and 6558 (SD 4438) g-forces, respectively. Neither cumulative impact nor impact intensity predicted change scores from pre-season 1 to post-season 2 on any outcome measures. Instead, younger age group and history of attention deficit hyperactivity disorder (ADHD) predicted worse change scores on several cognitive measures and an ADHD symptom reporting scale. In the full 166-player cohort, a computerized test of processing speed declined over time, while the remaining 22 outcome measures either did not change or improved over time. Minimal changes were observed in neurocognitive outcomes associated with participation in youth tackle football over the course of two seasons, and there was no correlation with the number and severity of head impacts sustained over that time. However, longer prospective follow-up times will be beneficial.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".