Cited by 41Alcohol Consumption and Health EffectsAdvanced Neuroimaging Techniques and ApplicationsAlcoholism and Thiamine Deficiency

Alcohol intake and brain white matter in middle aged men: microscopic and macroscopic differences

Open access
McEvoy, Linda K., Fennema-Notestine, Christine, Elman, Jeremy A., Eyler, Lisa T., Franz, Carol E., Hagler, Donald J., Hatton, Sean N., Lyons, Michael J. +3 more·2018·NeuroImage: Clinical

Abstract

Heavy alcohol consumption is associated with deleterious changes in the brain but associations of moderate alcohol intake are not well understood. We examined the association of alcohol consumption with brain white matter health in 377 middle-aged men (56-66 years old; mean 61.8 ± 2.6 years) who were participants in the Vietnam Era Twin Study of Aging (VETSA). T1-, T2-, proton density-, and diffusion-weighted magnetic resonance images were obtained. Diffusion measures were quantified from 12 major white matter tracts. Global white matter lesion (WML) burden was also quantified. Mixed effects linear models examined differences in diffusivity and WMLs by amount of alcohol intake. Analyses adjusted for numerous demographic, health, and lifestyle variables. An inverted-U association was found between alcohol intake and fractional anisotropy (FA) in several tracts, including the inferior-frontal-occipital fasciculus, uncinate fasciculus, superior longitudinal fasciculus, the forceps minor and the anterior thalamic radiations. In these tracts, FA increased with increasing alcohol intake, peaking with moderate alcohol intake (9-28 drinks in 14 days), and declining with heavier intake. Associations remained significant after exclusion of individuals with diabetes or hypertension. There was a U-shaped association in WML burden with highest burden among never drinkers and heavy drinkers (>28 drinks in 14 days). This association was no longer significant after exclusion of individuals with hypertension, since WML burden among heavy drinkers no longer differed from that of other drinkers. This suggests that hypertension related to heavy alcohol intake may contribute to WML burden observed among heavy drinkers. Together, these correlational results suggest that among middle-aged men, moderate drinking may be associated with metrics of better white matter health, particularly microstructural measures, whereas drinking beyond recommended guidelines may be associated with both microstructural and macrostructural white matter damage.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.nicl.2018.02.006

Cites

58 of 58 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • In a well-powered study of 377 people, light and moderate alcohol consumption was linked to increased FA, while heavy consumption of 28 or more drinks in two weeks was linked to marked FA decreases.

    “light and moderate alcohol consumption was associated with increased FA, whereas heavy consumption (28 drinks or more within a two-week period), was associated with marked decreases in FA (McEvoy et al., 2018).”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

1 of the 59 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
McEvoy, L. K., Fennema-Notestine, C., Elman, J. A., Eyler, L. T., Franz, C. E., Hagler, D. J., Hatton, S. N., Lyons, M. J., Panizzon, M. S., Dale, A. M., & Kremen, W. S.
Affiliations
  • University of California San Diego (US)
  • Boston University (US)
Corresponding author
McEvoy, Linda K.
Venue
NeuroImage: Clinical
Publisher
Elsevier BV
Published
2018
Volume
18
Pages
390-398
ISSN
2213-1582 (ISSN-L)
OpenAlex
W2792200745
Cited by
41
References
59
Citations by year
2026: 1 · 2025: 5 · 2024: 7 · 2023: 6 · 2022: 8 · 2021: 8 · 2020: 1 · 2019: 4 · 2018: 1
FWCI
2.66
Type
journal article
Language
en
Open access
Locations
  • NeuroImage Clinical (publishedVersion, cc-by-nc-nd)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
National Institutes of Health (AG022381, AG018384, AG022982, AA021187, AG018386)
Topics
  • Health Sciences › Medicine › Pathology and Forensic Medicine › Alcohol Consumption and Health Effects
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Health Sciences › Medicine › Neurology › Alcoholism and Thiamine Deficiency
Keywords
alcohol consumption, white matter, moderate drinking, heavy drinking, fractional anisotropy, white matter lesions, white matter microstructure, white matter tracts, middle-aged men, hypertension, diffusion-weighted imaging, Vietnam Era Twin Study of Aging
MeSH terms
Aged, Alcohol Drinking, C-Reactive Protein, Humans, Image Processing, Computer-Assisted, Lipoproteins, Male, Middle Aged, Anisotropy, Diffusion Tensor Imaging, Leukoencephalopathies, White Matter

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review