Evidence map›Paper›PMID 41462486›Full record

ArticleEuropean journal of medical research2025

Metabolic status and brain health: the relationship between the metabolic score for insulin resistance and cognitive function in older adults.

Baiyang Gu, Yifan Bu, Zhihua Hao, Mingrong Song, Jing Chen

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Article in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Baiyang Gu *Heilongjiang University of Chinese Medicine, Harbin, China.
Yifan Bu *Heilongjiang University of Chinese Medicine, Harbin, China.
Zhihua HaoHeilongjiang University of Chinese Medicine, Harbin, China.
Mingrong SongHeilongjiang University of Chinese Medicine, Harbin, China.
Jing ChenHeilongjiang University of Chinese Medicine, Harbin, China. jingchen6385@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic disorders are closely associated with cognitive decline, and the metabolic score for insulin resistance (METS-IR), as a comprehensive indicator reflecting metabolic status, may offer a novel perspective for cognitive function assessment. This study aims to explore the association between METS-IR and cognitive function in older adults and evaluate its potential value in assessing the risk of cognitive impairment.

methodsA cross-sectional analysis was carried out utilizing data from the National Health and Nutrition Examination Survey conducted between 2011 and 2014. The relationship between METS-IR and cognitive function was analyzed using weighted multivariable linear regression. Nonlinear relationships were examined using restricted cubic spline techniques and threshold effect analyses. In addition, subgroup interaction analyses were performed based on demographic characteristics, lifestyle factors, and metabolic diseases. Finally, the discriminative ability of METS-IR for cognitive decline was evaluated using receiver operating characteristic curve analysis.

resultsMETS-IR was significantly negatively correlated with all cognitive function test scores. After adjusting for demographic characteristics, lifestyle factors, and metabolic-related diseases, the negative association remained significant. Threshold effect analysis suggested that there is a tipping point, where the association between METS-IR and cognitive impairment becomes more evident. Subgroup analyses indicated that most subgroups did not exert a significant modifying effect on the association between METS-IR and cognitive function; however, smoking may affect the strength of the relationship between METS-IR and cognitive decline. The ROC curves demonstrated that METS-IR demonstrated relatively stable discriminative ability for cognitive decline, highlighting its potential as a supplementary tool for risk stratification.

conclusionsElevated METS-IR is independently associated with cognitive decline in older adults and shows a threshold effect. Its accessibility and stable discriminative ability support its potential as a supplementary tool for risk stratification. Future longitudinal studies are needed to verify the causal relationship and explore the feasibility of improving cognitive function through metabolic interventions. This study provides new evidence for the association between metabolic health and brain health, offering scientific basis for early screening and intervention strategies for high-risk populations.

Indexed as

BrainCognitionCognitive DysfunctionInsulin ResistanceAgedCross-Sectional StudiesFemaleHumansLife StyleMaleMiddle AgedNutrition SurveysRisk FactorsCognitive functionGlucose metabolismLipid metabolismMetabolic disordersMETS-IR

Identifiers

PMID41462486
PMCPMC12750669

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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.