Evidence map›Paper›PMID 39399056›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Alcohol, smoking, and brain structure: common or substance specific associations.

Vera Thornton, Yoonhoo Chang, Ariya Chaloemtoem, Andrey P Anokhin, Janine Bijsterbosch, Randi Foraker, Dana B Hancock, Eric O Johnson, Julie D White, Sarah M Hartz and 1 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Vera ThorntonDepartment of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA.ORCID 0000-0003-4090-4744
Yoonhoo ChangDepartment of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA.ORCID 0000-0002-6215-8466
Ariya ChaloemtoemDepartment of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA.ORCID 0000-0003-0188-2431
Andrey P AnokhinDepartment of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA.ORCID 0000-0001-8158-6346
Janine BijsterboschDepartment of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA.ORCID 0000-0002-1385-9178
Randi ForakerDepartment of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA.ORCID 0000-0001-9255-9394
Dana B HancockGenOmics and Translational Research Center, RTI International, Research Triangle Park, North Carolina, USA.ORCID 0000-0003-2240-3604
Eric O JohnsonGenOmics and Translational Research Center, RTI International, Research Triangle Park, North Carolina, USA.ORCID 0000-0002-8870-1949
Julie D WhiteGenOmics and Translational Research Center, RTI International, Research Triangle Park, North Carolina, USA.ORCID 0000-0002-2235-4817
Sarah M HartzDepartment of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA.ORCID 0000-0002-5429-3799
Laura J BierutDepartment of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA.ORCID 0000-0002-9952-4810

Funding

Subject CollectionU10AA008401 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI JESSICA E SALVATORE · 1989 to 2026
$162.7M
Washington University Institute of Clinical and Translational Sciences (TL1)TL1TR002344 · NCATS · WASHINGTON UNIVERSITY · PI Jay F. Piccirillo · 2017 to 2026
$8.5M
Multi 'Omics Integration and Neurobiological Signatures of Alcohol Use DisorderR01AA027049 · NIAAA · RESEARCH TRIANGLE INSTITUTE · PI BIERUT, LAURA J., HANCOCK, DANA B · 2019 to 2023
$3.0M
Neurobehavioral consequences of Mild Traumatic Brain Injury and addiction risk: a cotwin-control studyR01DA058114 · NIDA · WASHINGTON UNIVERSITY · PI Andrey P. Anokhin · 2023 to 2026
$2.8M
CHILDHOOD SEXUAL ABUSE AND PROBLEM DRINKING IN WOMEN: NEUROBEHAVIORAL MECHANISMSR01AA025646 · NIAAA · WASHINGTON UNIVERSITY · PI ANOKHIN, ANDREY P. · 2018 to 2022
$2.7M
The role of late life depression in cognitive decline and Alzheimer's Disease riskR01MH128286 · NIMH · WASHINGTON UNIVERSITY · PI Janine Diane Bijsterbosch · 2022 to 2026
$2.7M
HCP-2.0: Ascertaining Network Mechanisms and Analytics of Emotional Dysfunction (HARMONY)R01MH132962 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI BIJSTERBOSCH, JANINE DIANE, NARR, KATHERINE L · 2023 to 2024
$1.6M
NCATS NIH HHS TL1 TR002344NIAAA NIH HHS R01 AA025646NIAAA NIH HHS R01 AA027049NIAAA NIH HHS U10 AA008401NIDA NIH HHS R01 DA058114NIMH NIH HHS R01 MH128286NIMH NIH HHS R01 MH132962
6 · The paper itself

Abstract

Alcohol use and smoking are common substance-use behaviors with well-established negative health effects, including decreased brain health. We examined whether alcohol use and smoking were associated with the same neuroimaging-derived brain measures. We further explored whether the effects of alcohol use and smoking on the brain were additive or interactive. We leveraged a cohort of 36,309 participants with neuroimaging data from the UK Biobank. We used linear regression to determine the association between 354 neuroimaging-derived brain measures and alcohol use defined as drinks per week, pack years of smoking, and drinks per week × pack years smoking interaction. To assess whether the brain associations with alcohol are broadly similar or different from the associations with smoking, we calculated the correlation between z-scores of association for drinks per week and pack years smoking. Results indicated overall moderate positive correlation in the associations across measures representing brain structure, magnetic susceptibility, and white matter tract microstructure, indicating greater similarity than difference in the brain measures associated with alcohol use and smoking. The only evidence of an interaction between drinks per week and pack years smoking was seen in measures representing magnetic susceptibility in subcortical structures. The effects of alcohol use and smoking on brain health appeared to be additive rather than multiplicative for all other brain measures studied. 97% (224/230) of associations with alcohol and 100% (167/167) of the associations with smoking that surpassed a p value threshold are in a direction that can be interpreted to reflect reduced brain health. Our results underscore the similarity of the adverse associations between use of these substances and neuroimaging derived brain measures.

Identifiers

PMID39399056
PMCPMC11469368

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
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.