Glucose-lipid metabolic index reflects cognitive impairment of non-diabetic elderly individuals

BackgroundGlucose and lipid metabolic disorders are involved in the impairment of cognitive function. However, it remains unclear the link between a new indicator of glucose-lipid metabolism index (GLMI) and cognitive impairment.ObjectiveThis study investigates the relationship between GLMI and multidimensional cognitive function in adults aged ≥ 60 years.MethodsGLMI was derived from glucose and lipid metabolism parameters. Consortium to Establish a Registry for Alzheimer's Disease (CERAD) Word Learning test, Animal Fluency Test (AFT) and Digit Symbol Substitution Test (DSST) were used to evaluate the cognitive abilities of participants. Linear regression, subgroup analyses, multivariable adjustments, and restricted cubic spline (RCS) models were employed to evaluate GLMI-cognition associations.ResultsAmong 787 participants from NHANES 2011-2014, diabetic individuals exhibited higher GLMI levels and more severe cognitive impairment than non-diabetic counterparts. In non-diabetic adults, GLMI showed linear correlations with CERAD and DSST assessed cognitive deficits. Subgroup analyses confirmed high GLMI as an independent risk factor for cognitive dysfunction in CERAD and DSST assessment. Multivariable regression revealed increased GLMI significantly elevated cognitive decline risk. ROC analysis identified 581.41 as the optimal GLMI cutoff (specificity: 86.0%) for predicting DSST impairment, outperforming traditional indices (TyG/HOMA-IR). RCS models demonstrated nonlinear GLMI-cognition associations, with a dose-dependent risk curve (200-800 range) and critical threshold at 545.ConclusionsThis study establishes that a high score of GLMI is associated with great severity of cognitive impairment in non-diabetic population.

Authors

Institutions

Publication Details

Journal
Journal of Alzheimer s Disease
Published
2025-07-01
DOI
https://doi.org/10.1177/13872877251352548
Citations
1
Primary Topic
Blood Pressure and Hypertension Studies
Type
article
Field-Weighted Citation Impact
1.39
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Glucose-lipid metabolic index reflects cognitive impairment of non-diabetic elderly individuals

Xiangteng Zhao, Yeting Zeng, Chunjiu Zhong, Shaoming Sang et al.
1 citations
Journal of Alzheimer s Disease
Blood Pressure and Hypertension Studies
1.39
article

Glucose-lipid metabolic index reflects cognitive impairment of non-diabetic elderly individuals

Xiangteng Zhao, Yeting Zeng, Chunjiu Zhong, Shaoming Sang, Shiwen Yu
article en
1 citations

Abstract

BackgroundGlucose and lipid metabolic disorders are involved in the impairment of cognitive function. However, it remains unclear the link between a new indicator of glucose-lipid metabolism index (GLMI) and cognitive impairment.ObjectiveThis study investigates the relationship between GLMI and multidimensional cognitive function in adults aged ≥ 60 years.MethodsGLMI was derived from glucose and lipid metabolism parameters. Consortium to Establish a Registry for Alzheimer's Disease (CERAD) Word Learning test, Animal Fluency Test (AFT) and Digit Symbol Substitution Test (DSST) were used to evaluate the cognitive abilities of participants. Linear regression, subgroup analyses, multivariable adjustments, and restricted cubic spline (RCS) models were employed to evaluate GLMI-cognition associations.ResultsAmong 787 participants from NHANES 2011-2014, diabetic individuals exhibited higher GLMI levels and more severe cognitive impairment than non-diabetic counterparts. In non-diabetic adults, GLMI showed linear correlations with CERAD and DSST assessed cognitive deficits. Subgroup analyses confirmed high GLMI as an independent risk factor for cognitive dysfunction in CERAD and DSST assessment. Multivariable regression revealed increased GLMI significantly elevated cognitive decline risk. ROC analysis identified 581.41 as the optimal GLMI cutoff (specificity: 86.0%) for predicting DSST impairment, outperforming traditional indices (TyG/HOMA-IR). RCS models demonstrated nonlinear GLMI-cognition associations, with a dose-dependent risk curve (200-800 range) and critical threshold at 545.ConclusionsThis study establishes that a high score of GLMI is associated with great severity of cognitive impairment in non-diabetic population.

Journal of Alzheimer s DiseaseVol. 106(4)
Sun Yat-sen University (CN), Fudan University (CN), Zhongshan Hospital (CN), The First Affiliated Hospital, Sun Yat-sen University (CN), Huashan Hospital (CN), State Key Laboratory of Medical Neurobiology
Openalex Percentile: Top 17%
Blood Pressure and Hypertension Studies
1.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.