Evidence map›Paper›PMID 37130676›Full record

ArticleBMJ open2023

Calibrating the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) for detecting alcohol-related problems among Canadian, UK and US soldiers: cross-sectional pre-deployment and post-deployment survey results.

Farifteh Firoozmand Duffy, Kerry Sudom, Margaret Jones, Nicola T Fear, Neil Greenberg, Amy B Adler, Charles W Hoge, Joshua E Wilk, Lyndon A Riviere

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% of its field
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

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  10. Unit-Based Correlates of Marginal Food Insecurity Among US Soldiers.Public health reports (Washington, D.C. : 1974) · 2024
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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

9 authors at 3 institutions in 3 countries.

Farifteh Firoozmand DuffyCenter for Military Psychiatry and Neuroscience, Walter Reed Army Institute of Research, Silver Spring, MD, USA farifteh.f.duffy.ctr@health.mil.ORCID 0000-0001-7866-8682
Kerry SudomDirector General Military Personnel Research and Analysis, Department of National Defence, Ottawa, Ontario, Canada.ORCID 0000-0001-7101-8361
Margaret JonesKing's Centre for Military Health Research, King's College London, London, UK.ORCID 0000-0002-7450-8195
Nicola T FearKing's Centre for Military Health Research, King's College London, London, UK.ORCID 0000-0002-5792-2925
Neil GreenbergKing's Centre for Military Health Research, King's College London, London, UK.ORCID 0000-0003-4550-2971
Amy B AdlerCenter for Military Psychiatry and Neuroscience, Walter Reed Army Institute of Research, Silver Spring, MD, USA.ORCID 0000-0002-0886-5530
Charles W HogeCenter for Military Psychiatry and Neuroscience, Walter Reed Army Institute of Research, Silver Spring, MD, USA.
Joshua E WilkCenter for Military Psychiatry and Neuroscience, Walter Reed Army Institute of Research, Silver Spring, MD, USA.ORCID 0000-0001-9914-3383
Lyndon A RiviereCenter for Military Psychiatry and Neuroscience, Walter Reed Army Institute of Research, Silver Spring, MD, USA.ORCID 0000-0002-5322-0627
Walter Reed Army Institute of Research · USKing's College London · GBDepartment of National Defence · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesExcessive alcohol use can bring about adverse health and work-related consequences in civilian and military populations. Screening for excessive drinking can help identify individuals at risk for alcohol-related problems who may require clinical interventions. The brief validated measures of alcohol use such as the Alcohol Use Disorders Identification Test (AUDIT), or abbreviated AUDIT-Consumption (AUDIT-C), are often included in military deployment screening and epidemiologic surveys, but appropriate cut-points must be used to effectively identify individuals at risk. Although the conventional AUDIT-C cut-points ≥4 for men and ≥3 for women are commonly used, recent validation studies of veterans and civilians recommend higher cut-points to minimise misclassification and overestimation of alcohol-related problems. This study aims to ascertain optimal AUDIT-C cut-points for detecting alcohol-related problems among serving Canadian, UK and US soldiers.

designCross-sectional pre/post-deployment survey data were used. SETTINGS: Comprised Army locations in Canada and UK, and selected US Army units.

participantsIncluded soldiers in each of the above-mentioned settings. OUTCOME MEASURES: Soldiers' AUDIT scores for hazardous and harmful alcohol use or high levels of alcohol problems served as a benchmark against which optimal sex-specific AUDIT-C cut-points were assessed.

resultsAcross the three-nation samples, AUDIT-C cut-points of ≥6/7 for men and ≥5/6 for women performed well in detecting hazardous and harmful alcohol use and provided comparable prevalence estimates to AUDIT scores ≥8 for men and ≥7 for women. The AUDIT-C cut-point ≥8/9 for both men and women performed fair-to-good when benchmarked against AUDIT ≥16, although inflated AUDIT-C-derived prevalence estimates and low positive predictive values were observed.

conclusionThis multi-national study provides valuable information regarding appropriate AUDIT-C cut-points for detecting hazardous and harmful alcohol use, and high levels of alcohol problems among soldiers. Such information can be useful for population surveillance, pre-deployment/post-deployment screening of military personnel, and clinical practice.

Indexed as

AlcoholismAlcohol-Related DisordersMilitary PersonnelAlcohol DrinkingCanadaCross-Sectional StudiesFemaleHumansMaleSurveys and QuestionnairesUnited Kingdomalcohol use disorders identification testepidemiologymental healthpatient reported outcome measuressubstance misuse

Identifiers

PMID37130676
PMCPMC10163557
OpenAlexW4367692790

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.