Clinical Commentary: Depression and Anxiety in Adolescent and Young Adult Athletes
Bibliographic record
Abstract
Mental health (MH) symptoms and disorders are common in adolescents and young adults, and athletes may be at risk due to sport-specific triggers such as injury or illness as well as stressors related to performance, transition, or retirement from sport. Anxiety and depression are reported frequently in this age group, and early recognition and treatment can improve outcomes. The medical team (eg, athletic trainers or therapists, team physicians) should be familiar with the symptoms of depression and anxiety, recognize "red flags" for these symptoms and disorders, and seek to provide screening assessments and develop MH plans and MH emergency action plans. As a part of their scope of practice, team physicians should have the initial assessment and management of patients with these MH conditions and appreciate the importance of referrals to other MH providers with expertise caring for athletes. Athletic trainers are often the first point of contact for athletes who may be experiencing MH symptoms and therefore play a key role in early recognition and referrals to team physicians for early diagnosis and treatment. Additional resources that provide more in-depth information regarding the treatment and management of anxiety and depression are provided herein.
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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 | 0.002 | 0.001 |
| 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".