Evidence map›Paper›PMID 42325422›Full record

ArticleAddictive behaviors reports2026

Trends in and correlates of unhealthy alcohol consumption among United States Veterans, 2016-2024.

Vuong V Do, Weisiyu Abraham Qin, Mark R Hawes, Salomeh Keyhani, Katherine J Hoggatt, Pamela M Ling

Abstract read
In one paragraph

Article in Addictive behaviors reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Vuong V DoCenter for Tobacco Control Research and Education, University of California, San Francisco, San Francisco, CA, USA.
Weisiyu Abraham QinCenter for Tobacco Control Research and Education, University of California, San Francisco, San Francisco, CA, USA.
Mark R HawesCenter for Tobacco Control Research and Education, University of California, San Francisco, San Francisco, CA, USA.
Salomeh KeyhaniCenter for Data to Discovery and Delivery Innovation (3DI), San Francisco Veterans Affairs Health Care System, San Francisco, CA, USA.
Katherine J HoggattDivision of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Pamela M LingCenter for Tobacco Control Research and Education, University of California, San Francisco, San Francisco, CA, USA.

Funding

Postdoctoral training in tobacco controlT32DA057216 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Dorothy Elinor Apollonio, Pamela May Ling · 2023 to 2026
$2.0M
NIDA NIH HHS T32 DA057216
6 · The paper itself

Abstract

Background: Unhealthy alcohol consumption remains a significant public health concern among U.S. Veterans, yet less is known about recent trends in binge and heavy drinking among this population. This study examines trends in and correlates of binge and heavy alcohol use among Veterans across age and sex. Methods: This study used nationally representative Behavioral Risk Factor Surveillance System (BRFSS) data from 2016 to 2024. Average annual percent change (AAPC) was estimated using join-point regression. Multivariable logistic regression was used to examine correlates of binge and heavy drinking. Results: From 2016 to 2024, binge drinking declined modestly overall (15.8% to 14.6%, AAPC = -1.2%, Conclusions: Despite overall declines, binge and heavy drinking remain prevalent among Veterans, with emerging midlife risks and sex-specific trajectories. Age- and sex-specific prevention, integrated tobacco and alcohol treatment, and continued efforts to reduce financial barriers to care may reduce alcohol use.

Indexed as

AlcoholBinge drinkingBRFSSHeavy drinkingMilitaryTrendVeteran

Identifiers

PMID42325422
PMCPMC13276145

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.