Evidence map›Paper›PMID 38468287›Full record

ArticleNutrition journal2024

Associations of dietary patterns and longitudinal brain-volume change in Japanese community-dwelling adults: results from the national institute for longevity sciences-longitudinal study of aging.

Shu Zhang, Giovanni Sala, Akinori Nakamura, Takashi Kato, Kanae Furuya, Hiroshi Shimokata, Xiang Gao, Yukiko Nishita, Rei Otsuka

Open access · goldAbstract read
In one paragraph

Article in Nutrition journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.3field-weighted citation impact, top 9% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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

9 authors at 4 institutions in 3 countries.

Shu ZhangDepartment of Epidemiology of Aging, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu, 474-8511, Aichi, Japan.
Giovanni SalaDepartment of Psychology, University of Liverpool, Liverpool, Merseyside, UK.
Akinori NakamuraDepartment of Biomarker Research, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
Takashi KatoDepartment of Clinical and Experimental Neuroimaging, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
Kanae FuruyaDepartment of Epidemiology of Aging, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu, 474-8511, Aichi, Japan.
Hiroshi ShimokataGraduate School of Nutritional Sciences, Nagoya University of Arts and Sciences, Nisshin, Aichi, Japan.
Xiang GaoDepartment of Nutrition and Food Hygiene, Fudan University, Shanghai, People's Republic of China.
Yukiko NishitaDepartment of Epidemiology of Aging, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu, 474-8511, Aichi, Japan.
Rei OtsukaDepartment of Epidemiology of Aging, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu, 474-8511, Aichi, Japan. otsuka@ncgg.go.jp.
National Center for Geriatrics and Gerontology · JPFudan University · CNNagoya University of Arts and Sciences · JPUniversity of Liverpool · GB

Funding

Japan Society for the Promotion of Science 22H00497Japan Society for the Promotion of Science 22K17847National Center for Geriatrics and Gerontology 21-18
6 · The paper itself

Abstract

backgroundThe association of dietary patterns and longitudinal changes in brain volume has rarely been investigated in Japanese individuals. We prospectively investigated this association in middle-aged and older Japanese community-dwelling adults.

methodsData with a 2-year follow-up from the sixth wave (July 2008 to July 2010; baseline) to the seventh (July 2010 to July 2012; follow-up) of the National Institute for Longevity Sciences-Longitudinal Study of Aging project were analyzed. Dietary intake was assessed using a 3-day dietary record, and longitudinal volume changes (%) in the total gray matter (TGM), total white matter, and frontal, parietal, occipital, temporal, and insular lobes were assessed using 3-dimensional T1 magnetic resonance imaging scans. Multiple factor analysis and hierarchical clustering revealed sex-specific dietary patterns. Associations between dietary patterns and annual brain-volume changes (%) were evaluated using general linear models adjusted for age, apoprotein E genotype, body mass index, medical history, lifestyle behaviors, socioeconomic factors, and energy intake.

resultsAmong the 1636 participants (age: 40.3-89.2 years), three dietary patterns were determined for men (n = 815; Western; Vegetable-Fruit-Dairy; and Traditional Japanese diets) and women (n = 821; Western; Grain-Vegetable-Fruit; and Traditional Japanese diets). Compared to women following the Western diet, those on the Traditional Japanese diet had less TGM atrophy. Multivariable-adjusted β (95% confidence interval) of the annual change (%) of TGM was - 0.145 (-0.287 to -0.002; P = 0.047), which correlated with reduced parietal lobe atrophy. No association between dietary pattern and brain atrophy was observed in men.

conclusionsAdherence to healthy dietary patterns, with higher consumption of whole grains, seafood, vegetables, fruits, mushrooms, soybean products, and green tea, potentially confers a protective effect against brain atrophy in middle-aged and older Japanese women but not in men. Further research to confirm these results and ascertain the underlying mechanisms is required. This study highlights the importance of sex-specific effects on the relationship between dietary patterns and brain health in diverse populations.

Indexed as

LongevityAdultAgedAged, 80 and overAgingAtrophyBrainDietFemaleHumansIndependent LivingJapanLongitudinal StudiesMaleMiddle AgedVegetablesBrain atrophyCommunity-dwellerDietary patternJapaneseLongitudinal study

Identifiers

PMID38468287
PMCPMC10929119
OpenAlexW4392713926

What OpenQuestion holds

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LicenceCC BY
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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.