| Title: | Role of socioeconomic status in modifying the relationship between alcohol use and injury events: evidence from the UK Biobank |
| Journal: | Journal of Epidemiology & Community Health |
| Published: | 8 Feb 2026 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/41656004/ |
| DOI: | https://doi.org/10.1136/jech-2025-225325 |
| URL: | https://pmc.ncbi.nlm.nih.gov/articles/PMC12888971/ |
Publication 18339
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Abstract
BACKGROUND: Alcohol 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.</p>
METHODS: Using 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.</p>
RESULTS: Among 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).</p>
CONCLUSION: Our 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.</p>
5 Authors
- Laura Llamosas-Falcón
- Jürgen Rehm
- Shannon Lange
- Yachen Zhu
- Charlotte Probst
1 Application
| Application ID | Title |
|---|---|
| 103421 | Joint effects of socioeconomic status and individual risk factors on all cause and cause-specific morbidity and mortality |
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