Evidence map›Paper›PMID 42454307›Full record

ArticleFrontiers in public health2026

Multidimensional assessment of cognitive function in community-dwelling older adults: fNIRS dual-task assessment and nutritional evaluation in Japanese salons.

Nobuko Shimizu, Noboru Hasegawa, Takako Yamada, Tomohiro Umemura, Minatsu Kobayashi, Mayumi Kato, Kyosuke Yorozuya, Antonio Oliveira Nzinga Rene, Masahiro Matsunaga

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Nobuko ShimizuFaculty of Nursing, Toyama Prefectural University, Toyama, Japan.
Noboru HasegawaFaculty of Rehabilitation, AICHI Medical College of Rehabilitation, Kiyosu, Aichi, Japan.
Takako YamadaSchool of Health Sciences, Bukkyo University, Kyoto, Japan.
Tomohiro UmemuraSchool of Health and Sport Sciences, Chukyo University, Toyota, Aichi, Japan.
Minatsu KobayashiFaculty of Home Economics, Otsuma Women's University, Chiyoda-ku, Tokyo, Japan.
Mayumi KatoFaculty of Information Engineering, Toyama Prefectural University, Toyama, Japan.
Kyosuke YorozuyaSchool of Health Sciences, Bukkyo University, Kyoto, Japan.
Antonio Oliveira Nzinga ReneFaculty of Information Engineering, Toyama Prefectural University, Toyama, Japan.
Masahiro MatsunagaFaculty of Human Health, Aichi Toho University, Nagoya-shi, Aichi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Motor-cognitive dual-task performance is closely related to age-related changes in cognitive and motor function. Community-based approaches combining cognitive screening with neurophysiological and nutritional assessment may help characterize cognitive health in older adults. This study explored the feasibility of combining prefrontal oxygenated hemoglobin (Oxy-Hb) responses measured using functional near-infrared spectroscopy (fNIRS) during a seated motor-cognitive dual-task paradigm with cognitive screening and nutritional evaluation among older adults attending community salons. Methods: A total of 127 community-dwelling older adults attending local salons were included. Cognitive function was assessed using the Montreal Cognitive Assessment-Japanese version (MoCA-J) and the Mini-Mental State Examination. Nutritional intake and body composition were evaluated using a food frequency questionnaire and bioelectrical impedance analysis. Prefrontal Oxy-Hb responses were recorded using an 8-channel fNIRS system during a seated motor-cognitive dual-task condition. Exploratory hierarchical multiple regression analyses examined associations between MoCA-J scores and Oxy-Hb responses. Age and sex were entered as covariates, and all eight fNIRS channels were entered simultaneously using the forced-entry method. Multiple comparisons across fNIRS channel predictors were addressed using Benjamini-Hochberg false discovery rate correction. Results: Approximately 60.3% of participants scored below the MoCA-J cutoff, suggesting possible cognitive decline based on screening. For the MoCA-J total score, the overall regression model was significant, and adding the eight fNIRS channels significantly improved model fit beyond age and sex. After false discovery rate correction, Ch6 was positively associated and Ch8 was negatively associated with MoCA-J total score. In exploratory subdomain analyses, Ch8 remained significantly associated with naming and attention scores. Nutritional and body composition analyses suggested a marginal negative association between fat intake and MoCA-J scores, whereas protein mass was positively associated with MoCA-J scores. Discussion: fNIRS-derived prefrontal Oxy-Hb responses during a seated motor-cognitive dual-task paradigm, together with nutritional and body composition indicators, may provide complementary information for characterizing cognitive health in community-dwelling older adults. Although exploratory and requiring longitudinal validation, this multidimensional assessment approach may contribute to practical community-based strategies for dementia prevention and healthy aging.

Indexed as

CognitionGeriatric AssessmentIndependent LivingNutrition AssessmentAgedAged, 80 and overDual-Task TestsEast Asian PeopleFemaleHumansJapanMaleSpectroscopy, Near-Infraredcognitive functioncommunity-based preventioncommunity salon (senior salon)dual-taskfNIRSmild cognitive impairmentnutritionolder adults

Identifiers

PMID42454307
PMCPMC13364586

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.