1.武汉科技大学附属天佑医院,湖北 武汉430064
2.武汉科技大学医学部//武汉科技大学脑科学先进技术研究院, 湖北 武汉430065
罗玉,第一作者,研究方向:肥胖与认知功能,E-mail:907227283@qq.com
任宏伟,通信作者,E-mail:rhwrhw110@wust.edu.cn
收稿:2025-12-29,
修回:2026-02-12,
录用:2026-02-26,
纸质出版:2026-03-20
移动端阅览
罗玉,周文,胡斐斐等.内脏脂肪代谢评分与心血管代谢共病及认知分域的关联性[J].中山大学学报(医学科学版),2026,47(02):315-327.
LUO Yu,ZHOU Wen,HU Feifei,et al.The Association between Metabolic Score for Visceral Fat, Cardiometabolic Comorbidities and Cognitive Domain[J].Journal of Sun Yat-sen University(Medical Sciences),2026,47(02):315-327.
罗玉,周文,胡斐斐等.内脏脂肪代谢评分与心血管代谢共病及认知分域的关联性[J].中山大学学报(医学科学版),2026,47(02):315-327. DOI: 10.11714/jsysu.med.YX20260001.
LUO Yu,ZHOU Wen,HU Feifei,et al.The Association between Metabolic Score for Visceral Fat, Cardiometabolic Comorbidities and Cognitive Domain[J].Journal of Sun Yat-sen University(Medical Sciences),2026,47(02):315-327. DOI: 10.11714/jsysu.med.YX20260001.
目的
2
探讨内脏脂肪代谢评分(METS-VF)与老年人群心血管代谢共病(CMM)及认知功能的关联,揭示METS-VF作为评估工具在老年人群体中的作用,并为CMM和认知功能的早期筛查及干预策略提供依据和新视角。
方法
2
本研究基于湖北老年记忆队列(HMACS)的横断面数据,纳入60岁及以上老年人,计算METS-VF指数并进行四分位分组(Q1-Q4)。通过问卷调查评估CMM(糖尿病、心脏病、中风中至少两种共存),并采用标准化认知测试评估总体认知、记忆、语言、执行功能和注意力。采用Logistic和Linear回归分析METS-VF与CMM患病风险及认知功能之间的关联性,采用限制性立方样条检验剂量-反应关系,亚组分析评估METS-VF在不同群体中的差异性,并采用多分类无序Logistic回归评估METS-VF与CMM患病模式的表现。
结果
2
共纳入3 790名≥60岁的老年参与者。校正混杂因素后,与最低四分位组Q1组相比,Q4组METS-VF与更高的CMM患病风险相关[OR=3.00,95%CI (2.18,4.16)],且与更低的总体认知[
b
=-0.12,95%CI (-0.21,-0.04)]、注意[
b
=-0.14,95%CI (-0.24,-0.05)]和执行功能[
b
=-0.10,95%CI (-0.20,-0.00)]得分相关。剂量-反应分析未显示出METS-VF指数与CMM或认知功能的非线性关系(
P
for nonlinear
>
0.05)。亚组分析显示,高METS-VF指数的男性群体中的总体认知得分更低,而女性群体中执行功能得分更低(
P
for interaction均<0.05)。多分类无序Logistic回归分析显示,METS-VF指数与糖尿病合并冠心病[OR=2.62,95%CI (1.66,4.15)]或中风[OR=2.66,95%CI (1.73,4.09)]的患病风险增加相关,尤其在糖尿病同时伴随中风和冠心病的组别中,METS-VF与患病风险的关联最强。
结论
2
METS-VF升高与老年人群更高的CMM患病率及更低的总体认知、注意和执行功能得分相关,糖尿病可能是多病共存模式的关键驱动因素,METS-VF指数可作为筛查心血管代谢风险和评估认知功能的双用途工具。
Objective
2
To explore the association between metabolic score for visceral fat(METS-VF) and cardiometabolic multimorbidity(CMM) as well as cognitive function in the elderly population, revealing the role of METS-VF as an assessment tool in this population, and providing evidence and new perspectives for the early screening and intervention strategies of CMM and cognitive function.
Methods
2
This study is based on cross-sectional data from the Hubei memory and aging cohort study(HMACS), which includes elderly individuals aged 60 and above. The METS-VF index was calculated and divided into quartiles(Q1-Q4). CMM was assessed through a questionnaire, defining CMM as the coexistence of at least two of the following conditions: diabetes, heart disease, and stroke. Standardized cognitive tests were used to evaluate overall cognition, memory, language, executive function, and attention. Logistic and Linear regression analysis was performed to explore the association between METS-VF and the risk of CMM as well as cognitive function. A restricted cubic spline was used to test the dose-response relationship, and subgroup analysis was conducted to assess the variation of METS-VF in different populations. Additionally, multinomial unordered logistic regression was used to evaluate the performance of METS-VF in predicting CMM morbidity patterns.
Results
2
A total of 3 790 elderly participants aged 60 and above were included. After adjusting for confounding factors, compared with the lowest quartile(Q1), the Q4 group of METS-VF was associated with a higher risk of CMM [OR=3.00,95%CI (2.18, 4.16)], and with lower scores in overall cognition [
b
=-0.12, 95%CI (-0.21,-0.04)], attention [
b
=-0.14, 95%CI (-0.24,-0.05)], and executive function [
b
=-0.10, 95%CI (-0.20,-0.00)]. Dose-response analysis did not show a nonlinear relationship between METS-VF and either CMM or cognitive function (
P
for nonlinear
>
0.05). Subgroup analysis revealed that the male group with higher METS-VF had lower overall cognitive scores, while the female group showed lower executive function scores (
P
for interaction < 0.05 for both). Multinomial unordered logistic regression analysis indicated that the METS-VF index was associated with an increased risk of diabetes with coronary heart disease [OR=2.62,95%CI (1.66, 4.15)] or concomitant stroke [OR=2.66,95%CI (1.73, 4.09)], especially in the group with both diabetes and stroke and coronary heart d
isease, where the association between METS-VF and the risk was strongest.
Conclusions
2
An increased METS-VF is associated with a higher risk of CMM and lower scores in overall cognition, attention, and executive function in the elderly population. Diabetes may be a key driving factor in the multimorbidity model. The METS-VF index can serve as a dual-purpose tool for screening cardiovascular metabolic risks and assessing cognitive function.
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