Anxiety, depression, and symptom experience in concussed children and youth
Bibliographic record
Abstract
PURPOSE: To describe and explore the relationship between baseline anxiety, depression and symptom experience in children and youth assessed at a concussion clinic. DESIGN AND METHODS: A retrospective chart review of concussed children and youth referred to a pediatric teaching hospital concussion clinic over a 15-month period was completed. Kutcher Adolescent Depression Scale (KAD-6), General Anxiety Disorder Scale (GAD-7), and the Post-Concussion Symptom Inventory (PCSI) scores were extracted. RESULTS: A total of 155 patients were included. The most common symptoms (PCSI) at baseline were headache, fatigue, and feelings of head pressure. Symptoms were rated as mild to moderate in intensity. Overall, mean depression and anxiety scores were low. The mean anxiety scores, as measured by the GAD-7 (n = 108), was 7.4 (range, 0-24). The mean depression score, as measured by the KAD-6 (n = 94), was 4.7 (range, 0-18). A statistically significant, moderate positive correlation between PCSI scores with KAD-6 scores for male (r = .64, p < .001) and female (r = .61, p < .001) participants was identified. Similarly, a statistically significant, moderate positive correlation between PCSI scores with GAD-7 scores for male (r = .68, p < .001) and female (r = .60, p < .001) participants was identified. PRACTICE IMPLICATIONS: Concussed children may experience a wide array of symptoms, including emotional challenges such as anxiety and depression. Feelings of anxiety and depression may contribute to overall post concussive symptoms in concussed children. The electronic health record can be leveraged to provide important patient data. Clinicians should systematically assess symptoms at each visit in concussed children and youth so that appropriate interventions can be implemented and monitored.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".