Evidence map›Paper›PMID 41071226›Full record

ArticleEuropean geriatric medicine2025

Basal metabolic rate predicts dementia in community-dwelling older adults: a 5-year longitudinal study.

Daiki Yamagiwa, Osamu Katayama, Ryo Yamaguchi, Shoma Akaida, Keitaro Makino, Hiroyuki Shimada

Abstract read
In one paragraph

Article in European geriatric medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Daiki YamagiwaDepartment of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu, Aichi, 474-8511, Japan. d.yamagiwa@ncgg.go.jp.ORCID http://orcid.org/0000-0002-9468-3783
Osamu KatayamaDepartment of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu, Aichi, 474-8511, Japan.
Ryo YamaguchiDepartment of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu, Aichi, 474-8511, Japan.
Shoma AkaidaDepartment of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu, Aichi, 474-8511, Japan.
Keitaro MakinoDepartment of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu, Aichi, 474-8511, Japan.
Hiroyuki ShimadaDepartment of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu, Aichi, 474-8511, Japan.

Funding

Japan Agency for Medical Research and Development 15dk0107003h0003Japan Agency for Medical Research and Development 15dk0207004h0203JSPSKAKENHI Grant-in-Aid for Research Activity Start-up 24K23845JSPSKAKENHI Grant-in-Aid for Scientific Research A 26242059Research Funding for Longevity Sciences from the National Center for Geriatrics and Gerontology 27-22
6 · The paper itself

Abstract

purposeAlthough basal metabolic rate (BMR) is reportedly associated with physiological function decline, there is no consensus regarding its relationship with cognitive function. Therefore, we investigated the relationship between BMR and dementia risk over a 5-year period in 2550 of the 2975 older adults who were available for analysis (age 73.2 ± 6.0 years, 59.8% women).

methodsBMR was calculated using the TANITA, Mifflin-St Jeor, Harris-Benedict, and Cunningham equations. Furthermore, the BMR assessment method developed by the National Institute of Health and Nutrition (NIBIOHN) was used. Participants were classified into quartiles for BMR obtained using each method. Cox proportional hazards regression analysis was performed using the highest quartile (Q4) of each BMR to evaluate the association between BMR and dementia risk. Additionally, differences in the performance of each formula in predicting dementia risk were examined using the time-dependent receiver operating characteristic curve.

resultsParticipants in the lowest BMR quartile (Q1) had a higher risk of dementia than those in Q4 [TANITA BMR: hazard ratio (HR) = 2.49, p < 0.001; Harris-Benedict BMR: HR = 1.70, p < 0.05; Mifflin-St. Jeor BMR: HR: 3.83, p < 0.001; Cunningham BMR: HR = 2.78, p < 0.001; NIBIOHN BMR: HR = 2.98, p < 0.001]. The time-dependent ROC of Harris-Benedict BMR demonstrated the highest predictive accuracy among all BMRs calculated (area under the curve = 0.71, p < 0.05).

conclusionOur results reveal the association of low BMR with increased dementia risk, suggesting its potential as an early predictive biomarker, and demonstrate the usefulness of the Harris-Benedict equation for predicting dementia risk.

Indexed as

Basal MetabolismDementiaAgedAged, 80 and overCognitionFemaleGeriatric AssessmentHumansIndependent LivingLongitudinal StudiesMaleProportional Hazards ModelsRisk FactorsBasal metabolic rateCommunity-dwelling older adultDementiaNursing care prevention

Identifiers

PMID41071226
PMCPMC12743684

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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.