7.13 ‘It’s not just in my head’: an exploration of various intrinsic and extrinsic factors influencing mental health following sports-related concussions
Bibliographic record
Abstract
Objective To explore various intrinsic and extrinsic factors that influenced mental health during recovery from sports-related concussions. Design Sequential explanatory mixed-methods. Setting Nova Scotian (Canada) post-secondary students with a history of sports-related concussion. Participants and Outcome Measures 71 university-aged students (47 females; 24 males) completed an online questionnaire exploring history of sports-related concussions and overall mental health during concussion recovery. These responses were analyzed for emerging trends to be further deconstructed during semi-structured individual interviews. 10 participants (5 females; 5 males) were randomly selected from the questionnaire sample to participate in these one-on-one interviews. All data was blended together to identify emerging intrinsic and extrinsic factors. Main Results 43.8% of participants indicated experiencing depression or anxiety during their concussion recovery. 31.5% sought out counselling services to help with their mental health issues. Intrinsic factors that influenced mental health were specifically identified as: athletic identify, perceived sport culture, changes to physical activity, and changes to sport participation. Extrinsic factors that influenced mental health included: healthcare practitioner – knowledge, healthcare practitioner – empathy and compassion, accessibility/perceived need for counselling services, and perceptions from coaches/teammates. Conclusions The results of this study identified several important intrinsic and extrinsic factors that substantially impacted mental health during the recovery from a concussion. Many of these factors demonstrated the need for increased knowledge amongst general healthcare practitioners (e.g. family physicians), especially about how to effectively manage a concussion (e.g. subthreshold activity, proper return-to-play guidelines) and when to outsource a patient with persistent symptoms for appropriate treatment with suitable professionals.
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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".