Evidence map›Paper›PMID 42698350›Full record

ArticleAlcohol, clinical & experimental research2026

Socioeconomic Status, Alcohol Use, and Mortality: Results From a Prospective Cohort Study.

Ida Butovetsky, Sophie Baumann, Hans J Grabe, Carsten Oliver Schmidt, Astrid Petersmann, Matthias Nauck, Lars Schwettmann

Abstract read
In one paragraph

Article in Alcohol, clinical & experimental research, 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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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Ida ButovetskyDivision of Health Economics, Department of Health Services Research, School VI - School of Medicine and Health Sciences, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany.ORCID https://orcid.org/0000-0002-7372-3854
Sophie BaumannDepartment of Methods in Community Medicine, Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.ORCID https://orcid.org/0000-0002-7697-4923
Hans J GrabeDepartment of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany.
Carsten Oliver SchmidtInstitute for Community Medicine, Section Study of Health in Pomerania-Clinical-Epidemiological Research, University Medicine Greifswald, Greifswald, Germany.
Astrid PetersmannInstitute for Clinical Chemistry and Laboratory Medicine, University Medicine Oldenburg, Oldenburg, Germany.
Matthias NauckInstitute for Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany.ORCID https://orcid.org/0000-0002-6678-7964
Lars SchwettmannDivision of Health Economics, Department of Health Services Research, School VI - School of Medicine and Health Sciences, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany.

Funding

Federal Ministry of Education and Research 01ZZ0103Federal Ministry of Education and Research 01ZZ0403Federal Ministry of Education and Research 01ZZ9603Federal Ministry of Education and Research 03IS2061AMinistry of Cultural Affairs as well as the Social Ministry of the Federal State of Mecklenburg-West PomeraniaProjekt DEAL
6 · The paper itself

Abstract

backgroundBoth all-cause and alcohol mortality follow a social gradient. Studies have provided evidence of interaction between socioeconomic status (SES) and alcohol use in predicting alcohol-attributable mortality. It is unclear whether this holds true for all-cause mortality. This study examines interaction effects and investigates the role of biomarkers in all-cause mortality.

methodsWe included data from 4307 participants of the baseline survey (1997-2001) of SHIP (Study of Health in Pomerania)-START and a mortality follow-up from baseline until January 2023. All-cause mortality was the outcome; exposure variables were income or education as SES proxies, alcohol use, and biomarkers related to chronic alcohol consumption. Confounders were age, sex, marital status, smoking, and Body Mass Index (BMI). We used Cox proportional hazards regression (CPHR) in main analyses and CPHR and Aalen additive hazards regression (AAHR) in interaction analyses.

resultsOur final samples (either with income or education) consisted of 3771/3939 individuals of whom 981 (26.0%) and 1047 (28.6%) died during the follow-up period. Adjusting for confounders, individuals with low income (HR = 1.31, CI = 1.11, 1.56; compared to high income) and both current abstainers that formerly consumed alcohol (HR = 1.56, CI = 1.27, 1.92) and individuals with high alcohol intake (HR = 1.31, CI = 1.03, 1.66; compared to individuals with low alcohol intake) showed increased mortality. Biomarkers were positively associated with mortality. There was evidence of statistical interaction effects, for example, increased risks in low-income current abstainers as well as individuals with moderate or high alcohol use.

conclusionsWe found a social gradient in all-cause mortality that was attenuated, but not fully explained, by risk factors. There was some evidence of statistical interaction effects between alcohol use and SES, but small subgroup counts limit the certainty of related conclusions.

Indexed as

Alcohol DrinkingMortalitySocial ClassAdultAgedBiomarkersCohort StudiesFemaleGermanyHumansLow Socioeconomic StatusMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk FactorsBiomarkersalcohol drinkingmortalitysocioeconomic statussurvival analysis

Identifiers

PMID42698350
PMCPMC13545546

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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.