Evidence map›Paper›PMID 42902186›Full record

ArticleBMC public health2026

Alcohol consumption patterns and association with educational attainment in Europe: an analysis of the 2023-24 European Social Survey.

Nour Mahrouseh, Diana A Grad, Carlos Alexandre Soares Andrade, Sarah Nayani, Jeroen J A Spijker, Romana Haneef, Brigid Unim, Mary Economou, Mirza Balaj, Terje Andreas Eikemo and 5 more

Abstract read
In one paragraph

Article in BMC public health, 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

15 authors.

Nour MahrousehDepartment of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.ORCID http://orcid.org/0000-0002-1894-7847
Diana A GradDepartment of Public Health, Faculty of Political, Administrative and Communication Sciences, Babeș-Bolyai University, Cluj-Napoca, Romania.ORCID http://orcid.org/0009-0008-3071-2996
Carlos Alexandre Soares AndradeDepartment of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.ORCID http://orcid.org/0000-0002-6056-425X
Sarah NayaniDepartment of Epidemiology and Public health, Sciensano, Brussels, Belgium.ORCID http://orcid.org/0000-0002-4842-9645
Jeroen J A SpijkerInstitute for Advanced Family Studies (IESF), Universitat Internacional de Catalunya, Barcelona, Spain.ORCID http://orcid.org/0000-0002-3957-9553
Romana HaneefCERPOP, UMR1295, unite mixte INSERM - University of Toulouse III Paul Sabatier, Toulouse, France.ORCID http://orcid.org/0000-0001-7741-0268
Brigid UnimDepartment of Cardiovascular, Endocrine-metabolic Diseases and Aging, Italian National Institute of Health, Rome, Italy.ORCID http://orcid.org/0000-0002-6522-9098
Mary EconomouDepartment of Nursing, School of Health Sciences, Cyprus University of Technology, Limassol, Cyprus.ORCID http://orcid.org/0000-0003-0522-4671
Mirza BalajResearch Centre for Education and the Labour Market (ROA), Maastricht University, Maastricht, the Netherlands.ORCID http://orcid.org/0000-0002-8612-8464
Terje Andreas EikemoCentre for Health Equity Analytics (CHAIN), Department of Sociology and Political Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.ORCID http://orcid.org/0000-0001-6809-7011
Carl Michael BaravelliDepartment of Disease Burden, Norwegian Institute of Public Health, Bergen, Norway.ORCID http://orcid.org/0000-0001-7772-5315
Elena von der LippeDepartment of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.ORCID http://orcid.org/0000-0003-3757-1264
Grant M A WyperSchool of Health and Wellbeing, University of Glasgow, Glasgow, UK.ORCID http://orcid.org/0000-0003-2854-5822
Orsolya VargaDepartment of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary. varga.orsolya@med.unideb.hu.ORCID http://orcid.org/0000-0001-8771-3975
José Chen-XuComprehensive Health Research Centre (CHRC), Public Health Research Center, LA-REAL, National School of Public Health, Universidade NOVA de Lisboa, Lisboa, Portugal. josechenx@gmail.com.ORCID http://orcid.org/0000-0003-1238-1384

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlcohol consumption is a risk factor to several non-communicable diseases, posing a threat to vulnerable populations. This study aims to analyse the association between alcohol consumption patterns and educational attainment across Europe.

methodsa cross-sectional study was conducted using pooled data from the European Social Survey 2023-2024 Round 11, which included individual data from 33,987 respondents aged between 25 and 74 years from 27 European countries. Alcohol consumption was assessed using self-reported frequency and quantity of consumption, using standardised questions to assess consumption patterns and alcohol quantities. Our main outcome was frequency of alcohol consumption. A mixed ordinal logistic regression model assessed associations between sex, age, educational attainment, and alcohol consumption.

resultsThe highest percentages of frequent drinkers were found in Western Europe (28.0%) and the lowest in Eastern Europe (14.5%), whereas moderate drinking was most common in Northern Europe (52.5%) and lowest in Eastern Europe (28.9%). The regression model indicated that female gender was positively associated with alcohol consumption (adjOR = 2.05, p < 0.001). Primary education was found to be a risk factor compared to tertiary education (adjOR = 1.31, p = 0.022). Early adulthood age groups (25-34 and 35-44) presented a positive association compared to the 65-74 group (adjOR = 1.44, p = 0.003 and adjOR = 1.33, p = 0.001, respectively).

conclusionsBeing female and having lower educational attainment were associated with increased alcohol consumption. The differences in consumption patterns may, in part, reflect the heterogeneity of alcohol policy frameworks across European countries, including variations in taxation, availability restrictions, marketing regulations, and enforcement strategies. Together, these findings highlight that age-specific drinking patterns reflect a combination of socialisation, cultural normalisation, and health-related transitions across the life course.

Indexed as

Alcohol DrinkingEducational StatusAdultAgedCross-Sectional StudiesEuropeFemaleHumansMaleMiddle AgedRisk FactorsAlcohol consumptionEducationPublic healthRisk factor

Identifiers

PMID42902186
PMCPMC13681755

What OpenQuestion holds

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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.