Cognitive Function in Varsity Football Athletes is Maintained in the Absence of Concussion
Bibliographic record
Abstract
Introduction Repetitive sub‐clinical head impacts (SHI) are linked to progressive cognitive decline and post mortem chronic traumatic encephalopathy (CTE) diagnoses in pro contact‐sport athletes. This is particularly evident in aging, though there remains a paucity of knowledge surrounding the onset of trauma‐related cognitive decline in younger athletes. In addition, the influence of cumulative SHI, particularly in the absence of concussion, is poorly understood. As such, we tested the hypothesis that cognitive function would be impaired as a function of career‐long and season‐long exposure to SHI in varsity (collegiate‐level) American football athletes. Methods Male varsity football athletes (n = 31, age 22.3 ± 1.6) completed the Cambridge Brain Sciences (CBS) cognitive battery before (pre) and after (post) their football season. Scores were compared in a repeated measures design against an age (20.6 ± 1.2) and sex matched control group (n = 35) who completed cognitive testing at the same time interval. Individuals sustaining a concussion within the past year were excluded. The CBS cognitive battery ( www.cambridgebrainsciences.com ) consists of 12 online tests assessing a broad range of cognitive skills. Previous work by Hampshire et al (2012) used PCA to identify 3 functionally and cortically distinct networks tested by the CBS battery: Short Term Memory, Reasoning, and Verbal Ability. Based on their previously established factor loadings, a linear composite score for each of these 3 networks was calculated for preseason raw scores. Previously established age‐ and sex‐matched normative values for this population (n > 18 000) were also compared to preseason scores. Postseason control tests are ongoing and were excluded from network and normative comparisons as the current literature does not address the effects of repeated testing on scores. Results In the preseason, there were no significant differences between footballers and controls on any of the 12 CBS tests. Preliminary results suggest that across the season, footballer and control participant scores do not differ either between groups or within groups compared to preseason scores (see ). MANOVA – F(36,276) = 1.336, p = 0.148, η 2 = 0.387. In terms of the network linear composite scores, there were no significant differences between controls and football athletes (see ) for any network. MANOVA – F(3, 61) = 0.55, p = 0.65, η 2 = 0.026. Lastly, in comparison to normative values, football athletes differed on 6 tests of cognitive function, and controls differed from the normative scores on 4 tests (indicated with “N” in ) at the preseason time point. Conclusions Overall, these results suggest the maintenance of normal cognitive function, as assessed behaviourally, in the absence of concussion in an elite contact‐sport population. Small differences between normative and sample means warrant further exploration focussed on examining the functional implications of cumulative SHI as behavioural decline may be masked by compensatory neural mechanisms. Support or Funding Information Canada Excellence Research Chair funding to A.M. Owen
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".