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Regular Research Article|Articles in Press

Neuroimaging-Derived Predicted Brain Age and Alcohol Use Among Community-Dwelling Older Adults

Published:February 20, 2023DOI:https://doi.org/10.1016/j.jagp.2023.02.043

      Highlights

      • What is the primary question addressed by this study?
         Is light to moderate alcohol use associated with biomarker of slower brain aging among older community dwelling adults?
      • What is the main finding of this study?
         Heavier drinkers, those drinking more than 2 drinks per day, showed older than expected predicted brain age; those drinking less did not show younger than expected predicted brain age relative to nondrinkers.
      • What is the meaning of the finding?
         Light and moderate alcohol use does not appear to be protective against age-related structural changes in the brain, but heavier alcohol use is associated with evidence of greater neurodegeneration with age.

      Abstract

      Objectives

      Observational studies have suggested that moderate alcohol use is associated with reduced risk of dementia. However, the nature of this association is not understood. We investigated whether light to moderate alcohol use may be associated with slower brain aging, among a cohort of older community-dwelling adults using a biomarker of brain age based on structural neuroimaging measures.

      Design

      Cross-sectional observational study.

      Participants

      Well-characterized members of a longitudinal cohort study who underwent neuroimaging. We categorized the 163 participants (mean age 76.7 ± 7.7, 60% women) into current nondrinkers, light drinkers (1–7 drinks/week) moderate drinkers (>7–14 drinks/week), or heavier drinkers (>14 drinks/week).

      Measurements

      We calculated brain-predicted age using structural MRIs processed with the BrainAgeR program, and calculated the difference between brain-predicted age and chronological age (brain-predicted age difference, or brain-PAD). We used analysis of variance to determine if brain-PAD differed across alcohol groups, controlling for potential confounders.

      Results

      Brain-PAD differed across alcohol groups (F[3, 150] = 4.02; p = 0.009) with heavier drinkers showing older brain-PAD than light drinkers (by about 6 years). Brain-PAD did not differ across light, moderate, and nondrinkers. Similar results were obtained after adjusting for potentially mediating health-related measures, and after excluding individuals with a history of heavier drinking.

      Discussion

      Among this sample of healthy older adults, consumption of more than 14 drinks/week was associated with a biomarker of advanced brain aging. Light and moderate drinking was not associated with slower brain aging relative to non-drinking.

      Key Words

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      REFERENCES

        • Grucza R.A.
        • Sher K.J.
        • Kerr W.C.
        • et al.
        Trends in adult alcohol use and binge drinking in the early 21st-century United States: a meta-analysis of 6 national survey series.
        Alcohol Clin Exp Res. 2018; 42: 1939-1950
        • Fernandez A.
        • Kullgren J.
        • Malani P.
        • et al.
        Alcohol use among older adults.
        University of Michigan National Poll on Healthy Aging. University of Michigan, 2021 (Available at) (Accessed January 31, 2023)
        • U.S. Department of Agriculture and U.S
        Department of Health and Human Services.
        Dietary Guidelines for Americans, 2020-2025, 2020 (Available at:) (Accessed January 31, 2023)
        • Peters R.
        • Peters J.
        • Warner J.
        • et al.
        Alcohol, dementia and cognitive decline in the elderly: a systematic review.
        Age Ageing. 2008; 37: 505-512
        • Collins M.A.
        • Neafsey E.J.
        • Mukamal K.J.
        • et al.
        Alcohol in moderation, cardioprotection, and neuroprotection: epidemiological considerations and mechanistic studies.
        Alcohol Clin Exp Res. 2009; 33: 206-219
        • Rehm J.
        • Hasan O.S.M.
        • Black S.E.
        • et al.
        Alcohol use and dementia: a systematic scoping review.
        Alzheimers Res Ther. 2019; 11: 1
        • Kloner R.A.
        • Rezkalla S.H.
        To drink or not to drink? That is the question.
        Circulation. 2007; 116: 1306-1317
        • McEvoy L.K.
        • Bergstrom J.
        • Tu X.
        • et al.
        Moderate alcohol use is associated with reduced cardiovascular risk in middle-aged men independent of health, behavior, psychosocial, and earlier life factors.
        Nutrients. 2022; 14: 2183
        • Rimm E.B.
        • Williams P.
        • Fosher K.
        • et al.
        Moderate alcohol intake and lower risk of coronary heart disease: meta-analysis of effects on lipids and hemostatic factors.
        BMJ. 1999; 319: 1523-1528
        • Kubota M.
        • Nakazaki S.
        • Hirai S.
        • et al.
        Alcohol consumption and frontal lobe shrinkage: study of 1432 non-alcoholic subjects.
        J Neurol Neurosurg Psychiatry. 2001; 71: 104-106
        • de la Monte S.M.
        • Kril J.J.
        Human alcohol-related neuropathology.
        Acta Neuropathol. 2014; 127: 71-90
        • Zahr N.M.
        • Pfefferbaum A.
        Alcohol's effects on the brain: neuroimaging results in humans and animal models.
        Alcohol Res. 2017; 38: 183-206
        • Daviet R.
        • Aydogan G.
        • Jagannathan K.
        • et al.
        Associations between alcohol consumption and gray and white matter volumes in the UK Biobank.
        Nat Commun. 2022; 13: 1175
        • Immonen S.
        • Launes J.
        • Jarvinen I.
        • et al.
        Moderate alcohol use is associated with decreased brain volume in early middle age in both sexes.
        Sci Rep. 2020; 10: 13998
        • Paul C.A.
        • Au R.
        • Fredman L.
        • et al.
        Association of alcohol consumption with brain volume in the Framingham study.
        Arch Neurol. 2008; 65: 1363-1367
        • Topiwala A.
        • Allan C.L.
        • Valkanova V.
        • et al.
        Moderate alcohol consumption as risk factor for adverse brain outcomes and cognitive decline: longitudinal cohort study.
        BMJ. 2017; 357: j2353
        • Gu Y.
        • Scarmeas N.
        • Short E.E.
        • et al.
        Alcohol intake and brain structure in a multiethnic elderly cohort.
        Clin Nutr. 2014; 33: 662-667
        • Sachdev P.S.
        • Chen X.
        • Wen W.
        • et al.
        Light to moderate alcohol use is associated with increased cortical gray matter in middle-aged men: a voxel-based morphometric study.
        Psychiatry Res. 2008; 163: 61-69
        • Davis B.J.
        • Vidal J.S.
        • Garcia M.
        • et al.
        The alcohol paradox: light-to-moderate alcohol consumption, cognitive function, and brain volume.
        J Gerontol A Biol Sci Med Sci. 2014; 69: 1528-1535
        • Firbank M.J.
        • O'Brien J.T.
        • Ritchie K.
        • et al.
        Midlife alcohol consumption and longitudinal brain atrophy: the PREVENT-Dementia study.
        J Neurol. 2020; 267: 3282-3286
        • Cole J.H.
        • Poudel R.P.K.
        • Tsagkrasoulis D.
        • et al.
        Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker.
        Neuroimage. 2017; 163: 115-124
        • Liem F.
        • Varoquaux G.
        • Kynast J.
        • et al.
        Predicting brain-age from multimodal imaging data captures cognitive impairment.
        Neuroimage. 2017; 148: 179-188
        • Peng H.
        • Gong W.
        • Beckmann C.F.
        • et al.
        Accurate brain age prediction with lightweight deep neural networks.
        Med Image Anal. 2021; 68101871
        • Steffener J.
        • Habeck C.
        • O'Shea D.
        • et al.
        Differences between chronological and brain age are related to education and self-reported physical activity.
        Neurobiol Aging. 2016; 40: 138-144
        • Bittner N.
        • Jockwitz C.
        • Franke K.
        • et al.
        When your brain looks older than expected: combined lifestyle risk and BrainAGE.
        Brain Struct Funct. 2021; 226: 621-645
        • Cole J.H.
        • Ritchie S.J.
        • Bastin M.E.
        • et al.
        Brain age predicts mortality.
        Mol Psychiatry. 2018; 23: 1385-1392
        • Whitsel N.
        • Reynolds C.A.
        • Buchholz E.J.
        • et al.
        Long-term associations of cigarette smoking in early mid-life with predicted brain aging from mid- to late life.
        Addiction. 2022; 117: 1049-1059
        • Angebrandt A.
        • Abulseoud O.A.
        • Kisner M.
        • et al.
        Dose-dependent relationship between social drinking and brain aging.
        Neurobiol Aging. 2022; 111: 71-81
        • Bostrand S.M.K.
        • Vaher K.
        • de Nooij L.
        • et al.
        Associations between alcohol use and accelerated biological ageing.
        Addict Biol. 2022; 27: e13100
        • Fjell A.M.
        • McEvoy L.
        • Holland D.
        • et al.
        What is normal in normal aging? Effects of aging, amyloid and Alzheimer's disease on the cerebral cortex and the hippocampus.
        Prog Neurobiol. 2014; 117: 20-40
      1. The Rancho Bernardo Study of Healthy Aging. Available at: https://knit.ucsd.edu/ranchobernardostudy/. Accessed December 7, 2022

      2. Cole JH, Brainage R. 2018; Available at: ​https://github.com/james-cole/brainageR/blob/master/README.md. Accessed December 7, 2022

        • Karatzoglous A.
        • Smola A.
        • Hornik K.
        • et al.
        kernlab - AN S4 Package for Kernel Methods in R.
        J Stats Softw. 2004; 11: 1-20
      3. Wing D, Eyler LT, Lenze EJ, et al: Fatness, fitness and the aging brain: a cross sectional study of the associations between a physiological estimate of brain age and physical fitness, activity, sleep, and body composition. Neuroimage Rep 2022; 2:100146

        • Jenkinson M.
        • Beckmann C.F.
        • Behrens T.E.
        • et al.
        Neuroimage. 2012; 62 (FSL,): 782-790
        • Teng E.L.
        • Chui H.C.
        The modified mini-mental state (3MS) examination.
        J Clin Psychiatry. 1987; 48: 314-318
        • Beck A.T.
        • Ward C.H.
        • Mendelson M.
        • et al.
        An inventory for measuring depression.
        Arch Gen Psychiatry. 1961; 4: 561-571
        • Ning K.
        • Zhao L.
        • Matloff W.
        • et al.
        Association of relative brain age with tobacco smoking, alcohol consumption, and genetic variants.
        Sci Rep. 2020; 10: 10
        • McEvoy L.K.
        • Kritz-Silverstein D.
        • Barrett-Connor E.
        • et al.
        Changes in alcohol intake and their relationship with health status over a 24-year follow-up period in community-dwelling older adults.
        J Am Geriatr Soc. 2013; 61: 1303-1308