Evidence map›Paper›PMID 40728817›Full record

ArticleGeroScience2026

From the plate to the brain: associations between dietary patterns and reduced dementia prevalence and white matter lesions in older Japanese adults.

Liying Chen, Yasuko Tatewaki, Benjamin Thyreau, Kazuhiro Uchida, Hikari Iki, Shigeyuki Nakaji, Tetsuya Maeda, Kenjiro Ono, Moeko Noguchi-Shinohara, Masaru Mimura and 6 more

Abstract readMulticenter Study
In one paragraph

Article in GeroScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

16 authors.

Liying ChenDepartment of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan. chen.liying.e1@tohoku.ac.jp.
Yasuko TatewakiDepartment of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan. yasuko.tatewaki.a7@tohoku.ac.jp.
Benjamin ThyreauSmart-Aging Research Center, Tohoku University, Sendai, Japan.
Kazuhiro UchidaDepartment of Health Promotion, School of Health and Nutrition Sciences, Nakamura Gakuen University, Fukuoka, Japan.
Hikari IkiDepartment of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Shigeyuki NakajiDepartment of Social Medicine, GraduateSchool of Medicine, Hirosaki University, Hirosaki, Japan.
Tetsuya MaedaDivision of Neurology and Gerontology, Department of Internal Medicine, School of Medicine, Iwate Medical University, Yahaba, Japan.
Kenjiro OnoDepartment of Neurology, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan.
Moeko Noguchi-ShinoharaDepartment of Neurology, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan.
Masaru MimuraDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
Kenji NakashimaNational Hospital Organization, Matsue Medical Center, Shimane, Japan.
Jun-Ichi IgaDepartment of Neuropsychiatry, Molecules and Function, Ehime University Graduate School of Medicine, Shitsukawa, Ehime, Japan.
Minoru TakebayashiDepartment of Psychiatry and Neuroscience, Center for Metabolic Regulation of Healthy Aging, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Toshiharu NinomiyaDepartment of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Yasuyuki TakiDepartment of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Japan Prospective Studies Collaboration for Aging, Dementia (JPSC-AD) study group

Funding

Japan Agency for Medical Research and Development JP21dk0207053
6 · The paper itself

Abstract

Diet is widely considered essential in dementia, but its association with white matter lesions (WMLs) remains unclear. This cross-sectional study investigated the associations between dietary patterns, dementia, and WMLs in a large, nationwide, multicenter population of older Japanese adults. A total of 8,938 adults (aged ≥ 65; 73 ± 6.3 years old) from the Japan Prospective Studies Collaboration for Aging and Dementia (JPSC-AD) were included. Dietary intake was assessed using a Food Frequency Questionnaire. Principal component analysis was used to derive dietary patterns. A trained Convolutional Neural Network model segmented WMLs from brain MR images. Logistic regression estimated odds ratios (ORs) for dementia by dietary pattern quartiles, while linear regression assessed associations with WML volumes. Five dietary patterns were extracted. A Japanese diet including protein and minerals was significantly associated with lower prevalence of all-cause dementia (OR = 0.56) and Alzheimer's disease (OR = 0.47), and with reduced WML volume (β = - 0.03). Similar directional trends in ORs were observed across study sites. The reverse association with WMLs remained significant among individuals without dementia, reducing the likelihood of reverse causation. A Japanese diet including protein and minerals was associated with lower dementia prevalence and smaller WML volume in older Japanese adults. Drawing on nationwide, large-scale, multicenter data, these findings advance our understanding of dietary patterns in older Japanese adults and provide valuable insights for future intervention studies targeting diet and age-related brain changes.

Indexed as

DementiaDietWhite MatterAgedAged, 80 and overCross-Sectional StudiesEast Asian PeopleFemaleHumansJapanMagnetic Resonance ImagingMalePrevalenceProspective StudiesDementiaDietary patternOlder peopleWhite matter lesions

Identifiers

PMID40728817
PMCPMC12972405

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Registered trials

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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.