Evidence map›Paper›PMID 40467840›Full record

ArticleScientific reports2025

Differential brain volume between obese and underweight cognitively normal older adults with frailty in the JPSC-AD.

Naoki Ishizuka, Hiroshi Akasaka, Mitsunobu Sato, Yuriko Sato, Kazuki Hosokawa, Junko Takahashi, Hisashi Yonezawa, Yasuo Terayama, Tomoyuki Ohara, Takanori Honda and 13 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. 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. Article
  2. Article
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

23 authors.

Naoki IshizukaDivision of Neurology and Gerontology, Department of Internal Medicine, School of Medicine, Iwate Medical University, 2-1-1 Idaidori, Yahaba, Shiwa, Iwate Japan, Iwate, 028-3695, Japan.
Hiroshi AkasakaDivision of Neurology and Gerontology, Department of Internal Medicine, School of Medicine, Iwate Medical University, 2-1-1 Idaidori, Yahaba, Shiwa, Iwate Japan, Iwate, 028-3695, Japan.
Mitsunobu SatoDivision of Neurology and Gerontology, Department of Internal Medicine, School of Medicine, Iwate Medical University, 2-1-1 Idaidori, Yahaba, Shiwa, Iwate Japan, Iwate, 028-3695, Japan.
Yuriko SatoDivision of Neurology and Gerontology, Department of Internal Medicine, School of Medicine, Iwate Medical University, 2-1-1 Idaidori, Yahaba, Shiwa, Iwate Japan, Iwate, 028-3695, Japan.
Kazuki HosokawaDivision of Neurology and Gerontology, Department of Internal Medicine, School of Medicine, Iwate Medical University, 2-1-1 Idaidori, Yahaba, Shiwa, Iwate Japan, Iwate, 028-3695, Japan.
Junko TakahashiDivision of Neurology and Gerontology, Department of Internal Medicine, School of Medicine, Iwate Medical University, 2-1-1 Idaidori, Yahaba, Shiwa, Iwate Japan, Iwate, 028-3695, Japan.
Hisashi YonezawaDivision of Neurology and Gerontology, Department of Internal Medicine, School of Medicine, Iwate Medical University, 2-1-1 Idaidori, Yahaba, Shiwa, Iwate Japan, Iwate, 028-3695, Japan.
Yasuo TerayamaDivision of Neurology and Gerontology, Department of Internal Medicine, School of Medicine, Iwate Medical University, 2-1-1 Idaidori, Yahaba, Shiwa, Iwate Japan, Iwate, 028-3695, Japan.
Tomoyuki OharaDepartment of Neuropsychiatry, Graduate School of Medical Science, Kyushu University, Fukuoka, Japan.
Takanori HondaDepartment of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Mao ShibataDepartment of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Jun HataDepartment of Health Care Administration and Management, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Yasuko TatewakiDepartment of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Miyagi, Japan.
Yasuyuki TakiDepartment of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Miyagi, Japan.
Tatsuya MikamiDepartment of Preemptive Medicine, Innovation Center for Health Promotion, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Kenjiro OnoDepartment of Neurology, Kanazawa University Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan.
Masaru MimuraCenter for Preventive Medicine, Keio University, Tokyo, Japan.
Kenji NakashimaNational Hospital Organization, Matsue Medical Center, Matsue, Japan.
Jun-Ichi IgaDepartment of Neuropsychiatry, Ehime University Graduate School of Medicine, Ehime University, Matsuyama, Japan.
Minoru TakebayashiDepartment of Neuropsychiatry, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Toshiharu NinomiyaDepartment of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Tetsuya MaedaDivision of Neurology and Gerontology, Department of Internal Medicine, School of Medicine, Iwate Medical University, 2-1-1 Idaidori, Yahaba, Shiwa, Iwate Japan, Iwate, 028-3695, Japan. maeda@iwate-med.ac.jp.
Japan Prospective Studies Collaboration for Aging and Dementia (JPSC-AD) study group

Funding

Suntory Holdings Limited no IDthe Japan Agency for Medical Research and Development JP24dk0207053
6 · The paper itself

Abstract

Frailty is common in older adults; however, the central nervous system mechanisms underlying the differences between obesity and underweight remain unclear. This study investigated brain volume in frail, cognitively normal, community-dwelling older adults across three body mass index (BMI) groups: low (< 18.5), intermediate (18.5-24.9), and high (≥  25.0). Whole and regional brain volumes were measured and analyzed. Among 3,627 participants, those in the high BMI group (n = 1,134) had significantly lower multivariate-adjusted total brain volume (66.8% vs. 67.3%, p < 0.001) and gray matter volume (36.1% vs. 36.6%, p < 0.001) than participants in the intermediate BMI group (n = 2,274). Volume differences were observed in the frontal, parietal, temporal, and cingulate cortices, as well as the hippocampal gyrus; amygdala; superior, middle, and inferior temporal gyri; temporal pole; parahippocampal gyrus; and cuneus. Compared with the intermediate BMI group, the low BMI group (n = 219) presented a significantly lower volume in the middle temporal gyrus (1.91% vs. 1.95%, p = 0.008). These findings indicate that older adults with frailty experience differences in brain volume, with atrophy patterns differing based on BMI. Therefore, the central nervous system dysfunction may play a role in the mechanisms underlying frailty.

Indexed as

BrainFrailtyObesityThinnessAgedAged, 80 and overBody Mass IndexCognitionFemaleHumansMagnetic Resonance ImagingMaleOrgan SizeBrain volumeCommunity-dwellingFrailtyObesityOlder adultUnderweight

Identifiers

PMID40467840
PMCPMC12137933

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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.