Evidence map›Paper›PMID 40960090›Full record

ArticleAddiction (Abingdon, England)2026

Describing the alcohol harm paradox: 20 years of data from Victoria, Australia.

Michael Livingston, Nic Taylor, Sarah Callinan, Yvette Mojica-Perez, Alexandra Torney, Gabriel Caluzzi, Klaudia Kepa, Amy Pennay

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. A Data-Driven Exploratory Analysis of the Alcohol-Harm Paradox in South-East Wales.International journal of environmental research and public health · 2026
    Article
  2. Article
  3. 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.

Michael LivingstonNational Drug Research Institute, Curtin University, Perth, Australia.ORCID 0000-0002-8995-9386
Nic TaylorNational Drug Research Institute, Curtin University, Perth, Australia.ORCID 0000-0002-8700-5909
Sarah CallinanCentre for Alcohol Policy Research, La Trobe University, Melbourne, Australia.ORCID 0000-0003-4146-1244
Yvette Mojica-PerezCentre for Alcohol Policy Research, La Trobe University, Melbourne, Australia.ORCID 0000-0002-3518-0254
Alexandra TorneyCentre for Alcohol Policy Research, La Trobe University, Melbourne, Australia.ORCID 0000-0003-0373-0482
Gabriel CaluzziCentre for Alcohol Policy Research, La Trobe University, Melbourne, Australia.ORCID 0000-0003-3203-6123
Klaudia KepaCentre for Alcohol Policy Research, La Trobe University, Melbourne, Australia.
Amy PennayNational Drug Research Institute, Curtin University, Perth, Australia.ORCID 0000-0002-6271-8996

Funding

Australian Research Council FT210100656Victorian Health Promotion Foundation
6 · The paper itself

Abstract

BACKGROUND AND

aimsInternationally, rates of harm from alcohol tend to be higher in lower socio-economic groups, even while drinking is lower. This is known as the alcohol harm paradox. There are very little Australian data published on socio-economic disparities in alcohol consumption and harm, and none that has examined changes over time. This paper aimed to describe trends in socio-economic inequalities in key measures of alcohol consumption and alcohol-related harm over 21 years in Victoria, Australia.

designTrend analysis of population rates of separate data on hospital, emergency department and drinking behaviour.

settingVictoria, Australia, between 2000 and 2020. PARTICIPANTS/CASES: Survey data from 37 422 respondents plus 841 792 hospital admissions and 591 824 emergency department presentations. MEASUREMENTS: Socio-economic status was measured using an area-based index based on postcode of residence, divided into quintiles. Two measures of drinking were assessed based on survey responses: annual volume of drinking and frequency of risky (50 g or more) drinking occasions. Chronic harms were measured via hospital admissions for alcohol-related liver disease and acute harms via emergency department presentations for alcohol-related disorders. Differences in drinking and harm rates across quintiles were assessed using negative binomial regression, with interactions to examine whether the social gradients changed over time.

findingsFor men, there were no statistically significant differences in either total volume of drinking or frequency of episodic risky drinking between socio-economic quintiles. For women, volume of drinking was generally higher for those living in more advantaged neighbourhoods [e.g. Incident Rate Ratio (IRR) = 1.60, 95% confidence interval (CI) = 1.32-1.95 for women in the most advantaged compared with most disadvantaged], while frequency of episodic risky drinking did not differ statistically significantly. Trends in drinking on either measure did not differ by socio-economic status for men or women. Alcohol-related harms were higher for people living in disadvantaged neighbourhoods for most outcomes and sub-groups analysed. For example, male rates of alcohol-related liver disease were nearly twice as high in the most disadvantaged quintile as in the least disadvantaged quintile (IRR = 0.54, CI = 0.50-0.58). On some measures there was evidence that the gap between socio-economic groups had widened over time.

conclusionsDespite similar or lower levels of alcohol consumption, people living in more disadvantaged socio-economic areas of Victoria, Australia, appear to experience much higher rates of alcohol-related harm than those in more advantaged areas, with some disparities widening over time.

Indexed as

Alcohol DrinkingAlcohol-Related DisordersSocial ClassAdolescentAdultAgedEmergency Service, HospitalFemaleHospitalizationHumansMaleMiddle AgedSocioeconomic FactorsVictoriaYoung Adultalcoholalcohol consumptionalcohol harm paradoxAustraliasocio‐economic statustrends

Identifiers

PMID40960090
PMCPMC12779586

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LicenceCC BY-NC-ND
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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.