糖脂代谢指数反映非糖尿病老年人的认知功能障碍。

IF 3.4 3区 医学 Q2 NEUROSCIENCES
Yeting Zeng, Xiangteng Zhao, Shaoming Sang, Shiwen Yu, Chunjiu Zhong
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引用次数: 0

摘要

背景糖脂代谢紊乱与认知功能障碍有关。然而,目前尚不清楚糖脂代谢指数(GLMI)与认知障碍之间的联系。目的探讨≥60岁成人GLMI与多维认知功能的关系。方法glmi来源于糖脂代谢参数。采用词汇学习测试、动物流畅性测试(AFT)和数字符号替代测试(DSST)评估被试的认知能力。采用线性回归、亚组分析、多变量调整和限制性三次样条(RCS)模型来评估glmi与认知的关联。结果在2011-2014年NHANES的787名参与者中,糖尿病患者的GLMI水平高于非糖尿病患者,认知功能障碍更严重。在非糖尿病成人中,GLMI与CERAD和DSST评估的认知缺陷呈线性相关。亚组分析证实,在CERAD和DSST评估中,高GLMI是认知功能障碍的独立危险因素。多变量回归显示,GLMI增加显著增加认知能力下降的风险。ROC分析发现581.41是预测DSST损伤的最佳GLMI截止值(特异性:86.0%),优于传统指标(TyG/HOMA-IR)。RCS模型显示出非线性glmi -认知关联,具有剂量依赖性风险曲线(200-800范围)和临界阈值为545。结论在非糖尿病人群中,GLMI评分越高,认知功能障碍越严重。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.

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来源期刊
Journal of Alzheimer's Disease
Journal of Alzheimer's Disease 医学-神经科学
CiteScore
6.40
自引率
7.50%
发文量
1327
审稿时长
2 months
期刊介绍: The Journal of Alzheimer''s Disease (JAD) is an international multidisciplinary journal to facilitate progress in understanding the etiology, pathogenesis, epidemiology, genetics, behavior, treatment and psychology of Alzheimer''s disease. The journal publishes research reports, reviews, short communications, hypotheses, ethics reviews, book reviews, and letters-to-the-editor. The journal is dedicated to providing an open forum for original research that will expedite our fundamental understanding of Alzheimer''s disease.
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