High Rates of Symptoms of Major Depressive Disorder and Panic Disorder in a Canadian Sample of Adolescents With Juvenile Idiopathic Arthritis
Bibliographic record
Abstract
Objective We aimed to evaluate the rate of depressive and/or anxiety symptoms in adolescents with juvenile idiopathic arthritis (JIA) and to explore the association with demographic and disease activity measures. Methods Depressive and anxiety symptoms were assessed in adolescents with JIA aged 12 to 18 years at a Canadian tertiary care hospital, using the Revised Child Anxiety and Depression Scale (RCADS). The RCADS includes 6 subscales: separation anxiety, social phobia, generalized anxiety, panic disorder, obsessive-compulsive, and major depressive disorder. Scores above clinical threshold on the RCADS subscales indicate that an individual’s responses reflect symptoms similar to those diagnosed with the corresponding mental health disorder. Fisher exact test and Mann-WhitneyUtest were used to compare demographic and disease-related variables between participants who scored above and below clinical threshold on each of the subscales. Results There were 32/80 (40%) of participants who scored above clinical threshold on at least 1 subscale. Scores above clinical threshold were most frequent for major depressive disorder (23.8%) and panic disorder (22.5%) subscales. Social phobia and separation anxiety followed with 16.3% and 13.8%, respectively. Females were more likely to have scores above clinical threshold on the panic disorder subscale. Participants with higher self-reported disease activity were more likely to have scores above clinical threshold for all anxiety subscales except separation anxiety. Conclusion We report high rates of symptoms of depression and anxiety (panic in particular) in adolescents with JIA. This highlights the ongoing need for mental health screening protocols and services. The relationships between concomitant mental health disorders, disease activity, and patient-reported outcomes requires further research.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".