Evidence map›Paper›PMID 41888984›Full record

ArticleInjury epidemiology2026

Alcohol and violent deaths in the United States, 2015-2022.

Jack Kappelman, Diana Silver, James Macinko

Abstract read
In one paragraph

Article in Injury epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jack KappelmanUCLA Department of Political Science, Los Angeles, CA, USA.
Diana SilverPublic Health Policy and Management, NYU School of Global Public Health, New York, NY, USA.
James MacinkoCommunity Health Sciences, Health Policy and Management, UCLA Fielding School of Public Health, Los Angeles, CA, USA. jmacinko@ucla.edu.

Funding

CDC HHS 1R01CE003617-01-00
6 · The paper itself

Abstract

objectiveThis study describes alcohol involvement in violent deaths using the National Violent Death Reporting System (NVDRS) from 2015 to 2022 in 24 states where at least 90% of decedent records had available alcohol assessment data.

methodsUsing a repeated cross-sectional design, we construct a composite alcohol-involvement measure from toxicology results and NVDRS coder assessments and estimate negative binomial regression models with state-year demographic population counts as offsets to evaluate the roles of alcohol, firearms, and their intersection in violent deaths. The analytic sample included 204,739 decedents.

resultsAlcohol was present in roughly 27% of all violent deaths (27% in suicide and 25% in homicide deaths), with age- and sex-adjusted alcohol-involved mortality rates ranging from 1.6 per 100,000 in Virginia to 7.8 per 100,000 in North Dakota. Firearms and alcohol co-occurred in 19% of homicide and 14% of suicide deaths. Alcohol involvement was most common among men and younger adults (aged 20-39) with the highest rates observed for men aged 30-39 who died from suicide. There was a slight (6%) decrease in mean alcohol-involved violent death rates within a subsample of 18 states observed from 2016 to 2022, although Alaska saw a larger decrease (39%) and Oregon and Connecticut saw a near doubling of their alcohol-involved violent death rates over this period.

conclusionsThese findings indicate that alcohol plays a substantial and complex role in violent deaths. This role differs between homicides and suicides, and varies by sex, age, state, year, and firearm involvement. Violence reduction efforts may benefit from interrupting the links between alcohol consumption and violent behaviors. Improved data collection and toxicology standardization across states would greatly enhance efforts to monitor and evaluate ongoing and future interventions.

Indexed as

AlcoholAlcohol-involved mortalityFirearmNational Violent Death Reporting SystemViolent death

Identifiers

PMID41888984
PMCPMC13141262

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.