Disordered eating and substance use in an epidemiological sample: I. associations within individuals
Bibliographic record
Abstract
OBJECTIVE: This study examined the strength of associations between disordered eating and eating disorders and substance use and substance use disorders (SU/SUDs) in an epidemiological sample. METHODS: 672 adolescent girls and 718 women completed structured interviews of lifetime eating disorders and substance use and misuse, as well as self-reported current disordered eating attitudes and behaviors. RESULTS: Although effect sizes were small, eating attitudes and disorders were associated modestly with nicotine, alcohol, and drug use, and with nicotine dependence in adolescent girls. Alcohol use and misuse were related to eating attitudes and pathology in women. SU/SUDs were associated with restricting and bulimic behaviors and no prominent differences in associations were observed between substance classes. In contrast to findings in clinical populations, these community-based results were positive but generally weak, suggesting there is no strong, overarching relationship between eating and substance use problems. DISCUSSION: These results have implications for the addiction model of eating 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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".