Comorbidity Between Lifetime Eating Problems and Mood and Anxiety Disorders: Results from the Canadian Community Health Survey of Mental Health and Well‐being
Bibliographic record
Abstract
This study was to examine profiles of eating problems (EPs), mood and anxiety disorders and their comorbidities; explore risk patterns for these disorders; and document differences in health service utilization in a national population. Data were from the Canadian Community Health Survey of Mental Health and Well-being. The lifetime prevalence of EPs was 1.70% among Canadians, compared with 13.25% for mood disorder, 11.27% for anxiety disorder and 20.16% for any mood or anxiety disorder. Almost half of those with EPs also suffered with mood or anxiety disorders. A similar pattern in depressive symptoms was found among individuals with major depression and EPs, but individuals with EPs reported fewer symptoms. Factors associated with the comorbidity of EPs and mood and anxiety disorders were identified. Individuals with EPs reported more unmet needs. Patients with EPs should be concomitantly investigated for mood and anxiety disorders, as similar interventions may be effective for both.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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".