Clarifying the association of eating disorder features to suicide ideation and attempts
Bibliographic record
Abstract
OBJECTIVE: We examine the relationships of eight eating disorder (ED) features to histories of suicide ideation and suicide attempts. METHOD: Participants were 387 adults (62% female, mean age = 36 years) recruited via an online platform, and oversampled for the presence of ED features, who completed standardized self-report measures of study variables. RESULTS: Different ED features predicted suicide ideation versus attempts. Specifically, Restrictive Eating (d = 0.44), Purging (d = 0.30), and Body Dissatisfaction (d = 0.27) were higher among ideators compared to nonsuicidal participants. In contrast, Muscle Building (d = 0.31), Excessive Exercise (d = 0.26), Cognitive Restraint (d = 0.23), and Restrictive Eating (d = 0.20) were higher among attempters compared to ideators-however, we note that the p-values for these effects range between 0.02 and 0.04 and it is unclear if they would replicate. Independent replication is important. CONCLUSION: Findings have implications for the conceptualization of suicide risk in individuals with EDs.
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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 | 0.003 | 0.003 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".