Hsu Fang-Chi, Raffield Laura M, Hugenschmidt Christina E, Cox Amanda, Xu Jianzhao, Carr J Jeffery, Freedman Barry I, Maldjian Joseph A, Williamson Jeff D, Bowden Donald W
Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, N.C., USA.
Neuroepidemiology. 2015;45(1):1-11. doi: 10.1159/000435775. Epub 2015 Jul 14.
Type 2 diabetes mellitus increases the risk of cognitive decline and dementia, and elevated burdens of vascular disease are hypothesized to contribute to this risk. These relationships were examined in the Diabetes Heart Study-MIND using a battery of cognitive tests, neuroimaging measures and subclinical cardiovascular disease (CVD) burden assessed by coronary artery calcified (CAC) plaque. We hypothesized that CAC would attenuate the association between neuroimaging measures and cognition performance.
Associations were examined using marginal models in this family-based cohort of 572 European Americans from 263 families. All models were adjusted for age, gender, education, type 2 diabetes and hypertension, with some neuroimaging measures additionally adjusted for intracranial volume.
Higher total brain volume was associated with better performance on the Digit Symbol Substitution Task and Semantic Fluency (both p ≤ 7.0 × 10(-4)). Higher gray matter volume was associated with better performance on the Modified Mini-Mental State Examination and Semantic Fluency (both p ≤ 9.0 × 10(-4)). Adjusting for CAC caused minimal changes to the results.
Relationships exist between neuroimaging measures and cognitive performance in a type 2 diabetes-enriched European American cohort. Associations were minimally attenuated after adjusting for subclinical CVD. Additional work is needed to understand how subclinical CVD burden interacts with other factors and impacts relationships between neuroimaging and cognitive testing measures.
2型糖尿病会增加认知能力下降和痴呆的风险,血管疾病负担加重被认为是导致这种风险的原因。在糖尿病心脏研究-认知(Diabetes Heart Study-MIND)中,通过一系列认知测试、神经影像学测量以及用冠状动脉钙化(CAC)斑块评估的亚临床心血管疾病(CVD)负担来研究这些关系。我们假设CAC会减弱神经影像学测量与认知表现之间的关联。
在这个由263个家庭的572名欧裔美国人组成的基于家庭的队列中,使用边际模型来检验关联。所有模型都对年龄、性别、教育程度、2型糖尿病和高血压进行了调整,对于一些神经影像学测量,还对颅内体积进行了额外调整。
更高的全脑体积与数字符号替换任务和语义流畅性方面的更好表现相关(两者p≤7.0×10⁻⁴)。更高的灰质体积与改良简易精神状态检查和语义流畅性方面的更好表现相关(两者p≤9.0×10⁻⁴)。对CAC进行调整后,结果变化极小。
在一个富含2型糖尿病的欧裔美国人队列中,神经影像学测量与认知表现之间存在关联。在对亚临床CVD进行调整后,关联减弱极小。需要进一步开展工作来了解亚临床CVD负担如何与其他因素相互作用,并影响神经影像学与认知测试测量之间的关系。