Silent Struggles: Uncovering Mental Health Burdens in Adolescents with Inflammatory Bowel Disease and Juvenile Idiopathic Arthritis—A Retrospective Chart Review
Bibliographic record
Abstract
BACKGROUND/OBJECTIVES: Juvenile idiopathic arthritis (JIA) and inflammatory bowel disease (IBD) are chronic autoimmune conditions that impact the physical and psychological well-being of pediatric patients. While previous studies have shown a high prevalence of mental health challenges among youth with chronic conditions, the prevalence of mental health issues in Canadian pediatric patients with JIA and IBD remains unclear. We aimed to estimate the prevalence of documented mental health disorders and related medication use of youth with JIA or IBD at a tertiary care centre. METHODS: We conducted a retrospective chart review of youths aged 12-17 diagnosed with JIA or IBD at McMaster Children's Hospital (MCH) to understand the prevalence of generalized anxiety disorder (GAD), separation anxiety disorder, social anxiety disorder (SAD), obsessive-compulsive disorders (OCD), eating disorders, major depressive disorder (MDD), adolescent adjustment disorder, suicide attempt/suicide ideation, self-harm behaviour, substance use disorder, and attention deficit disorders (ADD). RESULTS: We reviewed 429 patient charts, including 303 patients with IBD and 126 with JIA. Our findings identified 90 IBD patients and 20 JIA patients who had one or more documented mental health conditions. Proportionately, there was a higher prevalence of mental health conditions among IBD patients (30%) compared to JIA patients (16%). The most frequently observed conditions in both IBD and JIA patients were GAD (63%, 50%), ADD (33%, 35%), and MDD (29%, 15%). CONCLUSIONS: These findings highlight the critical need for early mental health screening and integrated care approaches that address both medical and psychosocial needs in adolescents with chronic illnesses. Future research should incorporate prospective study designs, include diverse geographic and demographic populations, and explore targeted interventions to improve mental and physical health outcomes in this vulnerable group.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".