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Mediterranean-type diet and brain structural change from 73 to 76 years in a Scottish cohort
Open accessAbstract
OBJECTIVE: To assess the association between Mediterranean-type diet (MeDi) and change in brain MRI volumetric measures and mean cortical thickness across a 3-year period in older age (73-76 years). METHODS: We focused on 2 longitudinal brain volumes (total and gray matter; n = 401 and 398, respectively) plus a longitudinal measurement of cortical thickness (n = 323), for which the previous cross-sectional evidence of an association with the MeDi was strongest. Adherence to the MeDi was calculated from data gathered from a food frequency questionnaire at age 70, 3 years prior to the baseline imaging data collection. RESULTS: In regression models adjusting for relevant demographic and physical health indicators, we found that lower adherence to the MeDi was associated with greater 3-year reduction in total brain volume (explaining 0.5% of variance, p < 0.05). This effect was half the size of the largest covariate effect (i.e., age). Cross-sectional associations between MeDi and baseline MRI measures in 562 participants were not significant. Targeted analyses of meat and fish consumption did not replicate previous associations with total brain volume or total gray matter volume. CONCLUSIONS: Lower adherence to the MeDi in an older Scottish cohort is predictive of total brain atrophy over a 3-year interval. Fish and meat consumption does not drive this change, suggesting that other components of the MeDi or, possibly, all of its components in combination are responsible for the association.
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“This is likely due to the availability of prebiotics, probiotics, SCFAs, and polyphenols.”
From Signalling cognition: The gut microbiota and hypothalamic-pituitary-adrenal axis (2023) · cites this paper as [507]
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“A comprehensive review of this topic is beyond the scope of this review, however, a significant body of evidence demonstrates that consuming a GM-favorable diet can positively influence the GM, improve health status, and enhance cognitive function (506–510).”
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Cites
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282
Diet, nutrition and the prevention of chronic diseases
Joint, W. (2002) · Medical Entomology and Zoology · Cited by 4,890
Adherence to a Mediterranean diet and survival in a Greek population
Trichopoulou, A., Costacou, T., Bamia, C., & Trichopoulos, D. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa025039 · Cited by 4,397
Mediterranean diet and risk for Alzheimer's disease
Scarmeas, N., Stern, Y., Tang, M., Mayeux, R., & Luchsinger, J. A. (2006) · Annals of Neurology · doi:10.1002/ana.20854 · Cited by 1,103
Sofi, F., Macchi, C., Abbate, R., Gensini, G. F., & Casini, A. (2014) · Public Health Nutrition · doi:10.1017/s1368980013003169 · Cited by 997
Galland, L. (2010) · Nutrition in Clinical Practice · doi:10.1177/0884533610385703 · Cited by 715
Are dietary patterns useful for understanding the role of diet in chronic disease?
Jacques, P. F., & Tucker, K. L. (2001) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/73.1.1 · Cited by 587
MCDANIEL, M. (2005) · Intelligence · doi:10.1016/j.intell.2004.11.005 · Cited by 527
Deary, I. J., Gow, A. J., Taylor, M. D., Corley, J., Brett, C. E., Wilson, V., Campbell, H., Whalley, L. J., Visscher, P. M., Porteous, D. J., et al. (2007) · BMC Geriatrics · doi:10.1186/1471-2318-7-28 · Cited by 452
Genetic influences on human brain structure: A review of brain imaging studies in twins
Peper, J. S., Brouwer, R. M., Boomsma, D. I., Kahn, R. S., & Pol, H. E. H. (2007) · Human Brain Mapping · doi:10.1002/hbm.20398 · Cited by 437
Research works printed but not linked: 1
- Nelson HE, Willison JR. National Adult Reading Test (NART) Test Manual (Part II). Windsor, UK: NFER-Nelson; 1991.
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Beversdorf, D. Q., Crosby, H. W., & Shenker, J. I. (2023) · PubMed Central · Cited by 3
Musich, M. L., Shenker, J. I., & Beversdorf, D. Q. (2026) · Journal of dementia and Alzheimer's disease · doi:10.3390/jdad3010004 · Cited by 2
Gaynor, A. M., Varangis, E. M. L., Song, S., Gazes, Y., Habeck, C. G., Stern, Y., & Gu, Y. (2023) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.1043423 · Cited by 2
Meulenberg, C. J. W. (2019) · Annales Kinesiologiae · doi:10.35469/ak.2019.175 · Cited by 3
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Shi, H., & Xu, J. (2021) · Scientia Sinica Vitae · doi:10.1360/ssv-2021-0196 · Cited by 3
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Mayer, C., Ebinghaus, M., Petersen, M., Nägele, F. L., Schell, M., Cheng, B., Jensen, M., Schumacher, N., Singh, S., Rosand, J. M., et al. (2025) · Clinical Nutrition · doi:10.1016/j.clnu.2025.07.005 · Cited by 1
Pan, G., Zhang, Y., Kang, J., Jiang, Y., Zhang, W., Ren, P., You, J., Gong, W., Yu, J.-T., Feng, J., et al. (2025) · npj Aging · doi:10.1038/s41514-025-00255-8 · Cited by 2
Yang, Y., Du, R., Wu, C., Liao, S., Zhang, T., & Luo, J. (2026) · Journal of the International Society of Sports Nutrition · doi:10.1080/15502783.2026.2696421 · Cited by 1
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dos Santos, M. E. I., Pereira, A. P. M., Barros, G. F. A., Fagundes, S. M., Rangel, T. D. S., & Carrijo, J. B. (2023) · Amplla Editora eBooks · doi:10.51859/amplla.ctc976.1123-6
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Zhang, S., Sala, G., Nakamura, A., Kato, T., Furuya, K., Shimokata, H., Gao, X., Nishita, Y., & Otsuka, R. (2024) · Figshare · doi:10.6084/m9.figshare.26692069
McGrattan, A. M., McEvoy, C. T., Vijayakumar, A., Moore, S. E., Neville, C. E., McGuinness, B., McKinley, M. C., & Woodside, J. V. (2021) · Figshare · doi:10.6084/m9.figshare.13515598
Sarhan, M., Wohlfeld, C., See, E., Fadel, J. R., Murphy, E. A., & Fan, D. (2026) · Nutraceuticals · doi:10.3390/nutraceuticals6010006
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Bergsland, N. (2026) · Neurology · doi:10.1212/wnl.0000000000218040
Dong, C., Tai, J., Ma, Y., Wang, Y., & Yang, J. (2026) · Frontiers in Nutrition · doi:10.3389/fnut.2026.1952047
Galkina, P. А., Domínguez‐López, I., Cofán, M., Pozzoli, C., Vallverdú‐Queralt, A., Serra‐Mir, M., Chiva‐Blanch, G., Rajaram, S., Sabaté, J., Sala‐Vila, A., et al. (2026) · Food & Function · doi:10.1039/d6fo02116f
Liu, Z., Qin, M., Zhao, C., Ding, J., Li, Y., & Cheng, W. (2026) · International Journal of Endocrinology · doi:10.1155/ije/7060250
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Metadata
- Authors
- Luciano, M., Corley, J., Cox, S. R., Valdés Hernández, M. C., Craig, L. C. A., Dickie, D. A., Karama, S., McNeill, G. M., Bastin, M. E., Wardlaw, J. M., & Deary, I. J.
- Affiliations
- From the Centre for Cognitive Ageing and Cognitive Epidemiology (M.L., J.C., S.R.C., I.J.D.), Department of Psychology (M.L., J.C., S.R.C., I.J.D.), Brain Research Imaging Centre (M.C.V.H., D.A.D., M.E.B., J.M.W.), Centre for Clinical Brain Sciences (M.C.V.H., D.A.D., M.E.B., J.M.W.), and Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences (S.R.C., M.C.V.H., D.A.D., M.E.B., J.M.W.), University of Edinburgh; Rowett Institute of...
- Montreal Neurological Institute and Hospital (CA)
- ORCID
- Venue
- Neurology
- Published
- 2017-01-31
- Volume
- 88
- Issue
- 5
- Pages
- 449-455
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- PMC
- PMC5278943
- OpenAlex
- W2569405552
- Cited by
- 140
- References
- 29
- Citations by year
- 2026: 10 · 2025: 5 · 2024: 11 · 2023: 27 · 2022: 13 · 2021: 15 · 2020: 14 · 2019: 17 · 2018: 22 · 2017: 6
- FWCI
- 15.09
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Neurology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (acceptedVersion)
- Aberdeen University Research Archive (Aberdeen University) (submittedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by)
- Funders
- Medical Research Council (MR/K026992/1, MR/M013111/1, MR/N003403/1, MR/N027558/1)
- Biotechnology and Biological Sciences Research Council
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Nursing › Nutrition and Dietetics › Fatty Acid Research and Health
- Keywords
- dietary adherence, brain atrophy, total brain volume, gray matter volume, cortical thickness, older adults, longitudinal brain MRI, fish consumption, meat consumption
- MeSH terms
- Aged, Aging, Brain, Cross-Sectional Studies, Female, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male, Organ Size, Prospective Studies, Surveys and Questionnaires, Regression Analysis, Scotland, Sex Characteristics, Diet, Mediterranean, Gray Matter
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