Evidence map›Paper›PMID 34636470›Full record

ArticleAddiction biology2022

Associations between alcohol use and accelerated biological ageing.

Sunniva M K Bøstrand, Kadi Vaher, Laura de Nooij, Matthew A Harris, James H Cole, Simon R Cox, Riccardo E Marioni, Daniel L McCartney, Rosie M Walker, Andrew M McIntosh and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Addiction biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% of its field
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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
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  12. Article
  13. Quantification of Epigenetic Aging in Public Health.Annual review of public health · 2025
    Review
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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

14 authors at 5 institutions in 1 country.

Sunniva M K BøstrandDivision of Psychiatry, Royal Edinburgh Hospital, The University of Edinburgh, Edinburgh, UK.ORCID 0000-0003-1689-8583
Kadi VaherDivision of Psychiatry, Royal Edinburgh Hospital, The University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-0733-2505
Laura de NooijDivision of Psychiatry, Royal Edinburgh Hospital, The University of Edinburgh, Edinburgh, UK.
Matthew A HarrisDivision of Psychiatry, Royal Edinburgh Hospital, The University of Edinburgh, Edinburgh, UK.
James H ColeCentre for Medical Image Computing, Department of Computer Science, University College London, London, UK.
Simon R CoxDepartment of Psychology, The University of Edinburgh, Edinburgh, UK.
Riccardo E MarioniCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Edinburgh, UK.
Daniel L McCartneyCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Edinburgh, UK.
Rosie M WalkerCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Edinburgh, UK.
Andrew M McIntoshDivision of Psychiatry, Royal Edinburgh Hospital, The University of Edinburgh, Edinburgh, UK.
Kathryn L EvansCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Edinburgh, UK.
Heather C WhalleyDivision of Psychiatry, Royal Edinburgh Hospital, The University of Edinburgh, Edinburgh, UK.
Robyn E WoottonMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Toni-Kim ClarkeDivision of Psychiatry, Royal Edinburgh Hospital, The University of Edinburgh, Edinburgh, UK.
Royal Edinburgh Hospital · GBEdinburgh Cancer Research · GBKing's College London · GBUniversity of Bristol · GBUniversity of Edinburgh · GB

Funding

Evaluating Longitudinal Changes in the Human Structural Connectome in Relation to Cognitive AgingR01AG054628 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI TUCKER-DROB, ELLIOT MAX · 2017 to 2021
$2.7M
British Heart FoundationCancer Research UKChief Scientist Office CZD/16/6Department of HealthMedical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MC_UU_00011/1Medical Research Council MC_UU_00011/3Medical Research Council MR/R024065/1Medical Research Council MR/R024790/2NIA NIH HHS R01 AG054628Wellcome Trust 104036Wellcome Trust 104036/Z/14/ZWellcome Trust 108890Wellcome Trust 108890/Z/15/Z
6 · The paper itself

Abstract

Harmful alcohol use is a leading cause of premature death and is associated with age-related disease. Biological ageing is highly variable between individuals and may deviate from chronological ageing, suggesting that biomarkers of biological ageing (derived from DNA methylation or brain structural measures) may be clinically relevant. Here, we investigated the relationships between alcohol phenotypes and both brain and DNA methylation age estimates. First, using data from UK Biobank and Generation Scotland, we tested the association between alcohol consumption (units/week) or hazardous use (Alcohol Use Disorders Identification Test [AUDIT] scores) and accelerated brain and epigenetic ageing in 20,258 and 8051 individuals, respectively. Second, we used Mendelian randomisation (MR) to test for a causal effect of alcohol consumption levels and alcohol use disorder (AUD) on biological ageing. Alcohol use showed a consistent positive association with higher predicted brain age (AUDIT-C: β = 0.053, p = 3.16 × 10

Indexed as

Age FactorsAgingAlcoholismBrainDNA MethylationGenome-Wide Association StudyGenotypeHumansMendelian Randomization AnalysisPhenotypeUnited Kingdomalcohol usebrain ageingepigenetic ageingGeneration ScotlandMendelian randomisationUK Biobank

Identifiers

PMID34636470
PMCPMC7614236
OpenAlexW3207566028

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.