Disordered Eating Behaviours in Adolescents with and without a Formal ED Diagnosis: Comparing Individual and Contextual Factors
Bibliographic record
Abstract
This study explored various psychosocial factors associated with disordered eating in adolescents accessing mental health services across Ontario, Canada. Data were collected using the interRAI Child and Youth Mental Health (ChYMH) assessment tool and participants were categorized into three groups: individuals with diagnosed eating disorders (ED, n=207), disordered eating without a formal ED diagnosis (sub-ED, n=888), and other treatment-seeking youth (non-ED, n=3285). The ED and sub-ED groups did not differ in many ways, presenting with a similarly greater prevalence of mental health issues, and dysfunctional family and peer relationships, in comparison to non-ED youth. However, the ED group was more likely to have other psychiatric diagnoses (i.e., mood, anxiety, and sleep disorders) than the sub-ED or non-ED groups. These findings highlight a potentially underserved population of treatment-seeking youth in Canada, facing significant psychosocial challenges related to disordered eating, yet lacking access to proper diagnostic services.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".