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Review Article

Effects of the MIND Diet on the Cognitive Function of Older Adults: A Systematic Review

Clinical Nutrition Research 2025;14(4):318-328.
Published online: October 28, 2025

Department of Food and Nutrition, Sungshin Women’s University, Seoul 01133, Korea.

Correspondence to Seungmin Lee. Department of Food and Nutrition, Sungshin Women’s University, 55 Dobong-ro 76ga-gil, Gangbuk-gu, Seoul 01133, Korea. smlee@sungshin.ac.kr
• Received: July 7, 2025   • Revised: August 25, 2025   • Accepted: October 2, 2025

Copyright © 2025. The Korean Society of Clinical Nutrition

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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  • Adherence to the Mediterranean diet, inflammatory biomarkers and cognitive status in older Italian adults
    Margherita Grasso, Francesca L’Episcopo, Annamaria Fidilio, Marco Antonio Olvera-Moreira, Giuseppe Toscano, Stefano Muratore, Margherita Drago, Sabrina Musso, Veronica Bentivegna, Lucrezia Costanzo, Melannie Toral-Noristz, Raynier Zambrano-Villacres, Lisa
    Frontiers in Nutrition.2026;[Epub]     CrossRef

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Effects of the MIND Diet on the Cognitive Function of Older Adults: A Systematic Review
Clin Nutr Res. 2025;14(4):318-328.   Published online October 28, 2025
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Effects of the MIND Diet on the Cognitive Function of Older Adults: A Systematic Review
Clin Nutr Res. 2025;14(4):318-328.   Published online October 28, 2025
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Effects of the MIND Diet on the Cognitive Function of Older Adults: A Systematic Review
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Figure 1 Flow chart of the study selection.
Effects of the MIND Diet on the Cognitive Function of Older Adults: A Systematic Review

PICO framework

Criteria Determinants
Population Older adults aged ≥ 65 years who have consumed or are currently on the MIND diet
Intervention MIND diet (a combination of the Mediterranean and DASH diets)
Comparison Older adults who do not follow the MIND diet or a general dietary pattern
Outcome Main outcome: effect of the MIND diet on cognitive function improvement
Secondary outcomes: prevention of cognitive decline, reduction in Alzheimer’s disease risk, and improvement in memory and attention

PICO, Population, Intervention, Comparison, and Outcome; MIND, Mediterranean–Dietary Approaches to Stop Hypertension Intervention for Neurodegenerative Delay; DASH, Dietary Approaches to Stop Hypertension.

Search strategies by database

Database Search strategies
PubMed #1 (Mediterranean-DASH diet intervention for neurodegenerative delay[Title/Abstract]) OR (MIND diet[Title/Abstract])
#2 (Alzheimer's disease[Title/Abstract]) OR (memory[Title/Abstract]) OR (learning[Title/Abstract]) OR (dementia[Title/Abstract]) OR (cognition[Title/Abstract]) OR (cognitive[Title/Abstract])
#3 (Aged[MeSH Terms]) OR (older adults[Title/Abstract]) OR (elderly[Title/Abstract]) OR (Older Persons[Title/Abstract]) OR (Old Age[Title/Abstract])
#1 AND #2 AND #3
Cochrane Library #1 MeSH descriptor: [Aged] explode all trees
#2 (elderly):ti,ab,kw OR ("older adults"):ti,ab,kw OR ("elderly"):ti,ab,kw OR ("older persons"):ti,ab,kw OR ("old age"):ti,ab,kw
#3 #1 OR #2
#4 (MIND diet):ti,ab,kw OR (Mediterranean-DASH Intervention for Neurodegenerative Delay):ti,ab,kw
#5 MeSH descriptor: [Cognition] explode all trees
#6 (Alzheimer's disease):ti,ab,kw OR (memory):ti,ab,kw OR (learning):ti,ab,kw OR (dementia):ti,ab,kw OR (cognition):ti,ab,kw OR (cognitive):ti,ab,kw
#7 #5 OR #6
#8 #3 AND #4 AND #7

Date searched: March 18, 2025.

Characteristics of the included studies

First author (publication year) Country Sample size Mean age (yr) Participant characteristics Study design Duration Cognitive measures Intervention Key findings
Morris et al. [9] (2015) USA 960 81.4 ± 7.2 Older adults from the Rush project, 75% female, 95% White Cohort study 4.7 years Annual structured assessments of 19 tests covering five domains (episodic memory, semantic memory, working memory, visuospatial ability, and perceptual speed), and global cognition MIND score based on Harvard FFQ; cognitive decline rate analysis Higher MIND adherence significantly slowed cognitive decline (β = 0.0092, p < 0.0001). Top tertile maintained cognitive level approximately 7.5 years younger. MIND outperformed MedDiet and DASH in predictive value.
Cherian et al. [13] (2019) USA 106 82.8 ± 7.1 Older adults with stroke history, mean 14.4 years of education, 16% APOE-e4, 72.6% female Cohort study 5.9 years Five cognitive domains + global Z-score MIND score based on FFQ (tertile), association with cognitive trajectories Higher MIND adherence was associated with slower cognitive decline (β = 0.08; 95% CI, 0.01–0.16; p = 0.034). Semantic memory and processing speed also declined more slowly (p = 0.04).
McEvoy et al. [14] (2017) USA 5,907 67.8 ± 10.8 Community-dwelling adults ≥ 50 years, 59% female, 77% White, 14.5% Black, and 8.5% other Cross-sectional study Baseline data (cross-sectional analysis) Global cognition (0–27 points), memory, attention, and working memory MIND and MedDiet adherence (FFQ-based) Higher adherence to MIND and MedDiet was associated with better cognitive performance. The top tertile showed 35% lower risk of cognitive impairment (OR, 0.65; CI, 0.52–0.81; p < 0.001).
Wesselman et al. [15] (2020) Germany 389 69 ± 6 DELCODE study participants with subjective cognitive decline, MCI, family history of c, or cognitively normal controls; no dementia, 51.9% female Cross-sectional study Baseline data (cross-sectional analysis) CERAD battery assessing memory, language, executive function, working memory, and visuospatial ability MIND (0–15) and MedDiet (0–9) scores from the148-item FFQ; PCA-based dietary patterns Higher MIND and MedDiet scores were associated with better memory (MIND: p = 0.029). Language improved in the non-MCI group (p = 0.027). PCA pattern (“alcoholic beverages” and “grains and nuts”) positively associated with memory, language, and working memory.
Agarwal et al. [16] (2019) USA 809 80.7 ± 7.2 Older adults from the Rush MAP, no baseline disability, 74% female Cohort study 5.3 years ADL, IADL, and mobility limitations (self-reported; not direct cognitive scales) MIND, MedDiet, and DASH scores based on the Harvard FFQ; tertile-based Cox regression Higher MIND adherence was associated with reduced risk of ADL disability (mid-tertile HR, 0.75; top HR, 0.67, p-trend = 0.001). IADL and mobility limitations also decreased (p-trend = 0.04, 0.02). MedDiet and DASH scores were significant for ADL and mobility in the top tertile only.
Seago et al. [17] (2024) USA 5,143 ≥65 Participants without dementia, AD, or stroke in the Health and Retirement Study; 60% female, ~75% White, 15% Black, 10% other Cohort study 6 years Global cognition composite (immediate/delayed recall, backward counting) Standardized MIND, MedDiet, and DASH scores from 2013–14 FFQ All three diets positively associated with baseline cognition. MedDiet (β = 0.03, p = 0.002) and DASH (β = 0.04, p = 0.004) slowed cognitive decline. MIND did not show significant association with cognitive decline (β = 0.02, p = 0.094).
Dhana et al. [18] (2021) USA 569 Mean age at death: 91 Older adults in Chicago with or without dementia, pre-mortem cognitive data and autopsy, 70.5% female Cohort study 1997 death (diet assessed in 2004) Global cognition before death (Z-score), AD pathology, and other neuropathologies Cumulative MIND score based on 15 FFQ food groups Higher MIND score was associated with better cognition at death (β = 0.119, SE = 0.040, p = 0.003); significant even after adjusting for AD pathology (β = 0.111, p = 0.003). Not associated with non-AD pathology.
Wagner et al. [19] (2023) USA 578 84.1 (diet), 91.4 (at death) Older adults in the Rush project without dementia; repeated cognitive, diet, autopsy data; 72% female, 98% non-Hispanic White Cohort study Mean of 9 years (max of 23) Annual global cognition score based on 17 neuropsychological tests MIND diet score (0–15) based on the baseline FFQ Top tertile MIND adherence associated with higher CR level (MD = 0.34; 95% CI, 0.14–0.55) and slower CR slope decline (MD = 0.27; 95% CI, 0.05–0.48). Fish and legumes ↑ CR; butter/margarine, red meat, fried food ↓ CR.
Cognitive resilience measures: CR level (higher-than-expected cognition), CR slope (slower-than-expected decline), both adjusted for nine postmortem neuropathologies
Filippini et al. [20] (2020) Italy 108 Onset age 59.8, survey age ~65 54 EOD patients and 54 caregivers, 57% female Case-control study 4 years N/A (risk analysis) Dietary pattern analysis based on EPIC-FFQ (MIND, MedDiet, and DASH); food group intake Higher MIND adherence was linearly associated with lower risk of EOD. Excess intake of grains (> 350 g) and dairy (> 400 g) increased the risk. Whole grains, preserved fish, leafy greens, and nuts showed U-shaped or inverse associations.
Barnes et al. [21] (2023) USA 604 ≥ 65 (range: 65–84) Cognitively normal, family history of dementia, BMI ≥ 25 kg/m2, low MIND adherence (≤ 8), highly educated, 87.4% White, 65.2% female Randomized controlled trial 3 years Composite cognitive Z-score, four cognitive domains, and MRI imaging MIND diet +250 kcal restriction vs. control diet (same kcal restriction and nutrition education) No significant difference in cognitive change at 3 years (MIND +0.205 vs. control +0.170 Z, p = 0.23). No difference in MRI measures.
Sager et al. [22] (2024) Multi-national (Switzerland, Germany, France, Austria, and Portugal) 2,028 74.88 Age ≥ 70, MoCA ≥ 24, no major illness in the past 5 years, 60.5% female Cohort study 2.99 years MCI defined as MoCA < 26 and < 24 15-point MIND score based on the 216-item FFQ; analyzed cognition and inflammation markers (hsCRP and IL-6) No significant association between MIND adherence and MCI or cognitive decline at 3 years (MoCA < 26: OR, 0.99; 95% CI, 0.94–1.04 and MoCA < 24: OR, 1.03; 95% CI, 0.96–1.10).

MIND, Mediterranean–Dietary Approaches to Stop Hypertension Intervention for Neurodegenerative Delay; FFQ, food frequency questionnaire; MedDiet, Mediterranean diet; DASH, Dietary Approaches to Stop Hypertension; APOE-e4, apolipoprotein E epsilon-4 allele; CI, confidence interval; OR, odds ratio; MCI, mild cognitive impairment; CERAD, Consortium to Establish a Registry for Alzheimer’s Disease; PCA, principal component analysis; MAP, Memory and Aging Project; ADL, activity of daily living; IADL, instrumental activities of daily living; HR, hazard ratio; AD, Alzheimer’s disease; SE, standard error; CR, cognitive resilience; MD, mean difference; EOD, early-onset dementia; EPIC-FFQ, European Prospective Investigation into Cancer and Nutrition Food Frequency Questionnaire; BMI, body mass index; MRI, magnetic resonance imaging; MoCA, Montreal Cognitive Assessment; hsCRP, high-sensitivity C-reactive protein; IL, interleukin.

Table 1 PICO framework

PICO, Population, Intervention, Comparison, and Outcome; MIND, Mediterranean–Dietary Approaches to Stop Hypertension Intervention for Neurodegenerative Delay; DASH, Dietary Approaches to Stop Hypertension.

Table 2 Search strategies by database

Date searched: March 18, 2025.

Table 3 Characteristics of the included studies

MIND, Mediterranean–Dietary Approaches to Stop Hypertension Intervention for Neurodegenerative Delay; FFQ, food frequency questionnaire; MedDiet, Mediterranean diet; DASH, Dietary Approaches to Stop Hypertension; APOE-e4, apolipoprotein E epsilon-4 allele; CI, confidence interval; OR, odds ratio; MCI, mild cognitive impairment; CERAD, Consortium to Establish a Registry for Alzheimer’s Disease; PCA, principal component analysis; MAP, Memory and Aging Project; ADL, activity of daily living; IADL, instrumental activities of daily living; HR, hazard ratio; AD, Alzheimer’s disease; SE, standard error; CR, cognitive resilience; MD, mean difference; EOD, early-onset dementia; EPIC-FFQ, European Prospective Investigation into Cancer and Nutrition Food Frequency Questionnaire; BMI, body mass index; MRI, magnetic resonance imaging; MoCA, Montreal Cognitive Assessment; hsCRP, high-sensitivity C-reactive protein; IL, interleukin.