Acute alcohol intoxication and suicide: a gender-stratified analysis of the National Violent Death Reporting System
Bibliographic record
Abstract
OBJECTIVES: Although it is well known that people with alcohol dependence are at a markedly elevated risk for suicide, much less is known about the role of acute alcohol use in suicidal behaviours. The primary aims of this epidemiological study were to assess the prevalence and factors associated with acute alcohol intoxication among 57 813 suicide decedents in 16 states. METHODS: Data from the restricted National Violent Death Reporting System 2003-2009 for male and female suicide decedents aged 18 years and older were analysed by multiple logistic regression to compare decedents with and without acute alcohol intoxication (defined as blood alcohol concentration (BAC) ≥0.08 g/dl). RESULTS: Among men, those who were younger, American Indian/Alaska Native, Hispanic, veterans, of lower educational attainment, deceased from a self-inflicted firearm injury or hanging/suffocation and residing in rural areas were more likely to have been intoxicated at the time of death. Among women, the factors associated with a BAC ≥0.08 g/dl were younger age, being American Indian/Alaska Native, and using a firearm, hanging/suffocation or falling as method of death. CONCLUSIONS: In both men and women, alcohol intoxication was associated with violent methods of suicide and declined markedly with age, suggesting that addressing risks associated with acute alcohol use may be of the greatest aid in the prevention of violent suicides among young and middle age adults.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".