Premature Mortality in Patients With Anorexia Nervosa: A Matched Cohort Study of Cause of Death
Bibliographic record
Abstract
OBJECTIVE: To determine the extent to which anorexia nervosa is associated with premature mortality. METHOD: We carried out a matched cohort study of 7332 male and female patients with anorexia nervosa and 73,215 patient controls who were admitted between 1989 and 2023 in hospital centers of Quebec, Canada. We tracked the patients longitudinally over time to identify premature deaths before age 75 years and determined the cause of death. We used stratified Cox regression models adjusted for patient characteristics to estimate hazard ratios (HR) and 95% confidence intervals (CI) for the association between anorexia nervosa and premature mortality. RESULTS: Overall, 186 (2.5%) patients with anorexia nervosa and 615 (0.8%) matched controls died before age 75 years. Compared with no anorexia, anorexia nervosa was associated with 3.02 times the risk of premature mortality among females (95% CI 2.50-3.65) and 2.23 times the risk among males (95% CI 1.35-3.70). Patients with a first anorexia nervosa admission between age 20 and 29 years were most at risk of premature mortality (HR 8.00, 95% CI 4.30-14.88), as were patients hospitalized ≥ 3 times for anorexia nervosa (HR 4.72, 95% CI 3.25-6.84). Anorexia nervosa was associated with premature mortality due to metabolic and other endocrine disorders, suicide, and a range of other causes. DISCUSSION: Anorexia nervosa is associated with an elevated risk of premature mortality from metabolic disorders, suicide, and other causes. Patients who are female, hospitalized as young adults, or have repeated admissions for anorexia nervosa are most at risk.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".