Evidence map›Paper›PMID 41656004›Full record

ArticleJournal of epidemiology and community health2026

Role of socioeconomic status in modifying the relationship between alcohol use and injury events: evidence from the UK Biobank.

Laura Llamosas-Falcón, Jürgen Rehm, Shannon Lange, Yachen Zhu, Charlotte Probst

Abstract read
In one paragraph

Article in Journal of epidemiology and community 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.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Laura Llamosas-FalcónInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, Ontario, Canada Laura.Llamosas@camh.ca.ORCID http://orcid.org/0000-0003-4718-9376
Jürgen RehmInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.
Shannon LangeInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.
Yachen ZhuAlcohol Research Group, Emeryville, California, USA.ORCID http://orcid.org/0000-0002-8192-6168
Charlotte ProbstInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.

Funding

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
NIAAA NIH HHS R01 AA028009
6 · The paper itself

Abstract

backgroundAlcohol consumption is a well-established risk factor for injuries, yet the role of socioeconomic status (SES) in modifying this relationship remains underexplored. This study examines how SES influences the association between alcohol use and injury events, including both fatal and non-fatal injuries as well as the risk of repeated injuries requiring hospitalisation.

methodsUsing data from the UK Biobank, we applied Cox proportional hazards models to assess whether SES modifies the relationship between different dimensions of alcohol use, average level and heavy episodic drinking (HED), and injury events. For injuries requiring hospitalisation, we fitted negative binomial regression models to estimate incidence rate ratios (IRRs) for the total number of unique injury admissions per individual.

resultsAmong 482 078 participants, 48 045 injuries were recorded during follow-up. A statistically significant interaction was observed between alcohol use and low education, with individuals in lower education groups showing elevated injury risk compared with the high education group, particularly among those consuming 20-40 g/day with HED (HR: 1.17, 95% CI 1.06 to 1.28) and those consuming over 40 g/day (HR: 1.13, 95% CI 1.04 to 1.23). For non-fatal injuries, similar statistically significant interactions were found (IRR 1.17, 95% CI 1.06 to 1.28; and 1.18, 95% CI 1.08 to 1.29, respectively).

conclusionOur findings highlight that individuals with lower SES face higher risks of alcohol-related injuries. Future research should investigate specific mechanisms underlying these disparities to inform more targeted policies. Population-based pricing policies could be combined with community-based programmes and tailored health messaging to address SES-related vulnerabilities.

Indexed as

Alcohol DrinkingSocial ClassWounds and InjuriesAdultAgedFemaleHospitalizationHumansIncidenceLow Socioeconomic StatusMaleMiddle AgedProportional Hazards ModelsRisk FactorsSocioeconomic Disparities in HealthUK BiobankBEHAVIOR, ADDICTIVEEDUCATIONEPIDEMIOLOGYINJURYPUBLIC HEALTH

Identifiers

PMID41656004
PMCPMC12888971

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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.