Why the study?
Although glucose and lipid metabolic disorders contribute to cognitive impairment, the link between the glucose-lipid metabolism index (GLMI) and cognitive impairment remains unclear.
Is a high glucose-lipid metabolism index (GLMI) associated with cognitive impairment in non-diabetic older adults?
Is a high glucose-lipid metabolism index (GLMI) associated with cognitive impairment in non-diabetic older adults?
A high glucose-lipid metabolism index is associated with greater severity of cognitive impairment in non-diabetic older adults.
Answers are grounded in this paper and cite their sources.
High GLMI was associated with cognitive impairment in non-diabetic elders; leaves open causal role and need for prospective validation.
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.
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Zeng et al. (2025) studied this question.
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