Chronicity of mental comorbidity in children with new‐onset physical illness
Bibliographic record
Abstract
BACKGROUND: Evidence suggests that physical and mental illnesses are strongly correlated in children. This study examined patterns of the chronicity of multimorbidity (co-occurring physical and mental illness); estimated homotypic continuity; and modelled factors associated with chronicity in children newly diagnosed with a chronic physical illness. METHODS: Children aged 6-16 years diagnosed with one of asthma, diabetes, epilepsy, food allergy, or juvenile arthritis were recruited from two children's hospitals and followed for 6 months. Child mental illness was measured using the parent-reported Mini International Neuropsychiatric Interview and Ontario Child Health Study Emotional Behavioural Scales at baseline and 6 months later. Children were stratified into three groups: no multimorbidity, acute (multimorbidity at only one assessment), and persistent (multimorbidity at both assessments). RESULTS: Forty-nine children were available for analysis: no multimorbidity (n = 18), acute (n = 13), and persistent (n = 18). Homotypic continuity was highest for conduct disorder (67.5%) and lowest for major depression (16.7%). Unadjusted analyses showed positive associations between child and parent behavioural symptoms, as well as family functioning with persistent multimorbidity. These associations remained after adjustment, ranging from odds ratio (OR) = 1.29 [1.01, 1.64] for depression to OR = 1.61 [1.11, 2.33] and OR = 1.61 [1.10, 2.35] for attention-deficit hyperactivity and oppositional defiant, respectively, in child models. In parent models, associations remained for parental anxiety (OR = 1.18 [1.04, 1.34]) and stress (OR = 1.15 [1.02, 1.31]). CONCLUSIONS: Multimorbidity is persistent in children newly diagnosed with physical illnesses, regardless of the mental comorbidity experienced. Integrating family-centred mental health services soon after the diagnosis of a physical illness should be prioritized in pediatric settings.
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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 | 0.000 |
| 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 | 0.000 |
| 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".