Suicide Attempts in Anorexia Nervosa
Bibliographic record
Abstract
OBJECTIVE: To explore prevalence and patterns of suicidal attempts in persons with anorexia nervosa (AN). METHODS: Participants were the first 432 persons (22 male, 410 female) enrolled in the NIH funded Genetics of Anorexia Nervosa Collaborative Study. All participants had current or lifetime AN. The participants ranged in age from 16 to 76 (mean = 30.4, SD = 11.3). Suicidal behavior and intent was assessed via the Diagnostic Interview for Genetic Studies. We compared frequency and severity of attempts across diagnostic subtypes and comorbidity, and personality features associated with the presence of suicide attempts in persons with AN. RESULTS: About 16.9% of those with AN attempted suicide. Significantly fewer persons with the restricting subtype (7.4%) reported at least one attempt than those with purging AN (26.1%), AN with binge eating (29.3%), and a mixed picture of AN and bulimia nervosa (21.2%). After controlling for major depression, suicide attempts were associated with substance abuse, impulsive behaviors and traits, Cluster B personality disorders, panic disorder, and post-traumatic stress disorder as well as low self-directedness and eating disorder severity. CONCLUSIONS: Suicide attempts in AN are not uncommon, are frequently associated with the intention to die, occur less frequently in persons with the restricting subtype of the illness, and after controlling for depression are associated with a constellation of behaviors and traits associated with behavioral and affective dyscontrol.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".