Evidence map›Paper›PMID 38316528›Full record

ArticleDrug and alcohol review2024

Alcoholic beverage types consumed by population subgroups in the United States: Implications for alcohol policy to address health disparities.

Won Kim Cook, William C Kerr, Yachen Zhu, Sophie Bright, Charlotte Buckley, Carolin Kilian, Aurelie M Lasserre, Laura Llamosas-Falcón, Nina Mulia, Jürgen Rehm and 1 more

Abstract read
In one paragraph

Article in Drug and alcohol review, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

11 authors.

Won Kim CookAlcohol Research Group, Public Health Institute, Emerville, USA.ORCID 0000-0002-0390-297X
William C KerrAlcohol Research Group, Public Health Institute, Emerville, USA.ORCID 0000-0001-6612-9200
Yachen ZhuAlcohol Research Group, Public Health Institute, Emerville, USA.
Sophie BrightSchool of Health and Related Research, Faculty of Medicine, Dentistry & Health, University of Sheffield, Shefield, UK.
Charlotte BuckleyDepartment of Automatic Control and Systems Engineering, University of Sheffield, Shefield, UK.ORCID 0000-0002-8430-0347
Carolin KilianCentre for Addiction and Mental Health, Institute for Mental Health Policy Research, Toronto, Canada.ORCID 0000-0001-5913-6488
Aurelie M LasserreAddiction Medicine, Department of Psychiatry, Lausanne University Hospital, Lausanne, Switzerland.ORCID 0000-0003-3925-6663
Laura Llamosas-FalcónCentre for Addiction and Mental Health, Institute for Mental Health Policy Research, Toronto, Canada.ORCID 0000-0003-4718-9376
Nina MuliaAlcohol Research Group, Public Health Institute, Emerville, USA.
Jürgen RehmCentre for Addiction and Mental Health, Institute for Mental Health Policy Research, Toronto, Canada.ORCID 0000-0001-5665-0385
Charlotte ProbstCentre for Addiction and Mental Health, Institute for Mental Health Policy Research, Toronto, Canada.

Funding

TREND &STRUCTURE OF ALCOHOL DEPENDENCE--GENERAL POPULATION 1990 SURVEY DATAP50AA005595 · NIAAA · WESTERN CONSORTIUM FOR PUBLIC HEALTH · PI KERR, WILLIAM C. · 1985 to 2025
$34.1M
Supplement to a microsimulation of alcohol control interventions to advance health equity and reverse the current decrease in life expectancy in the USR01AA028009 · NIAAA · CENTRE FOR ADDICTION AND MENTAL HEALTH · PI PROBST, CHARLOTTE · 2020 to 2024
$2.4M
Calibrated Agent Simulations for Combined Analysis of Drinking Etiologies (CASCADE)R01AA024443 · NIAAA · UNIVERSITY OF SHEFFIELD · PI PURSHOUSE, ROBIN · 2016 to 2020
$2.3M
NIAAA NIH HHS P50 AA005595NIAAA NIH HHS R01 AA024443NIAAA NIH HHS R01 AA028009NIAAA NIH HHS R01AA028009
6 · The paper itself

Abstract

introductionWe aimed to identify alcoholic beverage types more likely to be consumed by demographic subgroups with greater alcohol-related health risk than others, mainly individuals with low socio-economic status, racial/ethnic minority status and high drinking levels.

methodsFractional logit modelling was performed using a nationally representative sample of US adult drinkers (analytic N = 37,657) from the National Epidemiologic Survey on Alcohol and Related Conditions Waves 2 (2004-2005) and 3 (2012-2013). The outcomes were the proportions of pure alcohol consumed as beer, wine, liquor and coolers (defined as wine-/malt-/liquor-based coolers, hard lemonade, hard cider and any prepackaged cocktails of alcohol and mixer).

resultsAdults with lower education and low or medium income were more likely to drink beer, liquor and coolers, while those with a 4-year college/advanced degree and those with high income preferred wine. Excepting Asian adults, racial/ethnic minority adults were more likely to drink beer (Hispanics) and liquor (Blacks), compared with White adults. High- or very-high-level drinkers were more likely to consume liquor and beer and less likely to consume wine (and coolers), compared with low-level drinkers. High-level and very-high-level drinkers, who were less than 10% of all drinkers, consumed over half of the total volume of beer, liquor and coolers consumed by all adults. DISCUSSION AND

conclusionsIndividuals with low socio-economic status, racial/ethnic minority status or high drinking level prefer liquor and beer. As alcohol taxes, sales and marketing practices all are beverage-specific, targeted approaches to reduce consumption of these beverages, particularly among individuals with these profiles, are warranted.

Indexed as

Alcohol DrinkingAlcoholic BeveragesAdolescentAdultFemaleHealth Status DisparitiesHumansMaleMiddle AgedSocioeconomic FactorsUnited StatesYoung Adultalcoholic beverage typealcohol policyhealth disparitiesheavy drinking

Identifiers

PMID38316528
PMCPMC11052671

What OpenQuestion holds

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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.