Eating Disorders and Substance Abuse in Canadian Men and Women: A National Study
Bibliographic record
Abstract
The objective of this study was to examine the co-morbidity between eating disorders and substance use in a large nationally representative sample of Canadian women and men while including varied measures of substance consumption and a wide range of substance classes. The research was based on secondary analyses of data collected, using multistage stratified probability sampling, by Statistics Canada in the Mental Health and Well-being cycle 1.2 of the Canadian Community Health Survey (CCHS). Data were collected mostly in face to face interviews using the Computer Assisted Personal Interviewing method. Data included the Eating Attitude Test (EAT-26), and modules of the short form of the Composite International Diagnostic Interview (CIDI-SF) to assess alcohol and drug use, dependence and interference. Alcohol interference and amphetamine use were associated with the risk for an eating disorder in both women and men. In the women sample only, risk for an eating disorder was associated with illicit drug use, dependence and interference, as well as with the number of substance classes used. The study findings support the importance of developing assessment instruments and treatment strategies that address the co-occurrence of eating disorders and substance use for both women and men.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".