Evidence map›Paper›PMID 40730394›Full record

ArticleBMJ open2025

Sociocultural correlates and epidemiological patterns of non-alcoholic beer consumption: a cross-sectional study in Poland.

Andrzej Silczuk, Aleksandra Lewandowska, Tomasz Baran, Tytus Koweszko, Paulina Mularczyk-Tomczewska, Julia Gujska, Magdalena Tatara, Małgorzata Gałecka

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Social Attitudes Towards Public Health Interventions in Community Pharmacies in Poland: A Nationwide Cross-Sectional Survey.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Article
  3. Article
  4. 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

8 authors.

Andrzej SilczukDepartment of Community Psychiatry, Medical University of Warsaw, Warsaw, Poland asilczuk@wum.edu.pl.ORCID http://orcid.org/0000-0002-7048-8094
Aleksandra LewandowskaChildren Psychiatry Unit, Specialized Psychiatric Health Care Centre, Łódź, Poland.
Tomasz BaranDepartment of Business Psychology and Social Innovation, University of Warsaw, Warsaw, Poland.
Tytus KoweszkoDepartment of Community Psychiatry, Medical University of Warsaw, Warsaw, Poland.
Paulina Mularczyk-TomczewskaDepartment of Public Health, Medical University of Warsaw, Warsaw, Poland.
Julia GujskaDepartment of Community Psychiatry, Medical University of Warsaw, Warsaw, Poland.
Magdalena TataraDepartment of Community Psychiatry, Medical University of Warsaw, Warsaw, Poland.
Małgorzata GałeckaDepartment of Psychotherapy, Medical University of Lodz, Łódź, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the sociocultural and epidemiological factors associated with non-alcoholic beer (NAB) consumption in Poland, including motivations for use, consumption context, and its reported impact on alcohol consumption patterns.

designCross-sectional survey study.

settingCommunity setting across Poland; data were collected in December 2024.

participantsA total of 1114 adults aged 18-84 years (mean age: 47.1±14.4 years; 54.3% female) completed the questionnaire. Participants were recruited through an online panel using stratified quota sampling to approximate national population distributions by age, sex and region. Inclusion criteria were age ≥18 years and residence in Poland. No exclusion criteria beyond informed consent were applied.

interventionsNot applicable. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome was current NAB use, defined as self-reported consumption of NAB. Secondary outcomes included sociodemographic correlates, reasons for use, consumption contexts and self-reported changes in alcoholic beer consumption following NAB adoption.

results70.6% of respondents reported current NAB use. Multivariable logistic regression showed that age 18-49 years (p<0.05), being married or in an informal relationship (OR=1.71; 95% CI: 1.19 to 2.45; p=0.004), residing in a household with ≥3 members (OR=1.61; 95% CI: 1.03 to 2.52; p=0.04) and being employed or self-employed (OR=1.65; 95% CI: 1.18 to 2.31; p=0.003) were independently associated with NAB use. Among NAB users (N=787), primary motivations included the ability to drive (28.2%), hydration (16.9%) and enjoying the taste without alcohol (12.1%). Regarding alcohol consumption, 31.6% reported using NAB to reduce their intake of alcoholic beer, and 22.6% stated that they had fully replaced alcoholic beer with NAB. Conversely, 37.0% reported no change in their alcohol consumption, 5.8% switched back to alcoholic beer only and 2.9% reported increased alcohol use after initiating NAB.

conclusionsNAB consumption in Poland is associated with identifiable sociodemographic characteristics and motivated by practical and health-related considerations. While nearly half of current users report reduced or substituted alcohol intake, a substantial proportion incorporate NAB into existing drinking routines without change or with increased alcohol use. These findings suggest a heterogeneous behavioural impact, underlining the need for nuanced public health messaging and further research into the long-term effects of NAB use on alcohol-related outcomes.

Indexed as

Alcohol DrinkingBeerAdolescentAdultAgedAged, 80 and overCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMiddle AgedMotivationPolandSocioeconomic FactorsSurveys and QuestionnairesCross-Sectional StudiesEPIDEMIOLOGIC STUDIESPUBLIC HEALTHSubstance misuse

Identifiers

PMID40730394
PMCPMC12306457

What OpenQuestion holds

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LicenceCC BY-NC
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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.