Direct Estimation of Alcohol-Attributable Fractions for Suicide in the United States, 2021
Bibliographic record
Abstract
Objectives. To estimate the alcohol-attributable fraction (AAF) for suicide in the United States. Methods. Using restricted-access data from the National Violent Death Reporting System for 2021, we estimated the sex-specific AAF for suicide, among those 15 years of age and older, by sociodemographic characteristics and suicide means. An alcohol-attributable suicide was defined as that for which the decedent had a blood alcohol concentration of 0.10 grams per deciliter or higher. Results. In 2021, the AAF for suicide for males (20.2%) was significantly higher than that for females (17.8%; P < .001). The AAF for suicide was higher for both males and females who used a firearm as the means of suicide (23.4% and 22.8%, respectively) compared with their counterparts who used other means (16.5% and 15.9%, respectively). Conclusions. Despite some variation, AAFs for suicide were consistently high, with about 1 in 5 suicides being attributable to alcohol use. Therefore, suicide prevention initiatives in the United States should also target excessive alcohol use. ( Am J Public Health. 2025;115(3):364–368. https://doi.org/10.2105/AJPH.2024.307910 )
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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 | 0.005 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".