Psychiatric Comorbidity in Women with Disordered Eating Behavior: A National Study
Bibliographic record
Abstract
This study used data collected by Statistics Canada in the Mental Health and Well-being cycle of the Canadian Community Health Survey (N = 20,211) to examine the associations between disordered eating behavior and selected mood, anxiety and substance use disorders in adult women grouped in three age groups. Significant associations between disordered eating behaviors and major depression, substance dependence and psychological distress were found for women in all three age ranges. Prevalence of specific classes of anxiety disorders in women who reported disordered eating behaviors differed according to their age. Having disordered eating behaviors was significantly associated with both 12-month and lifetime prevalence of social phobia for women above 25 years of age. Lifetime prevalence of agoraphobia was associated with disordered eating behaviors in women 15-44 years old, and the 12-month prevalence was associated with disordered eating behaviors only in women 15-24 years of age. Disordered eating behaviors were significantly associated with lifetime prevalence of panic disorder in women in all three age ranges and with 12-month prevalence of panic disorder in women in two age ranges, 15-24 and 45 and above. The findings highlight the importance of taking age into consideration when developing assessment instruments and treatment strategies to address the co-occurrence of eating disorders and other psychiatric disorders.
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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 | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".