Carotid Intima-Media Thickness (cIMT) and Cognitive Performance A Population-Based Cross-Sectional Study From North India

被引:4
|
作者
Vibha, Deepti [1 ]
Prasad, Kameshwar [6 ]
Dwivedi, Sada Nand [2 ]
Kant, Shashi [3 ]
Pandit, Awadh Kishor [1 ]
Tiemeier, Henning [7 ]
Srivastava, Achal Kumar [1 ]
Karthikeyan, Ganesan [1 ]
Garg, Ajay [4 ]
Verma, Vivek [1 ]
Kumar, Amit [1 ]
Nehra, Ashima [5 ]
Ikram, Arfan [8 ]
机构
[1] All India Inst Med Sci, Dept Neurol, New Delhi, India
[2] All India Inst Med Sci, Dept Biostat, New Delhi, India
[3] All India Inst Med Sci, Dept Community Med, New Delhi, India
[4] All India Inst Med Sci, Dept Neuroimaging & Intervent Neuroradiol, New Delhi, India
[5] All India Inst Med Sci, Dept Neurol, Div Neuropsychol, New Delhi, India
[6] Rajendra Inst Med Sci, Ranchi 834009, Jharkhand, India
[7] Harvard TH Chan Sch Publ Hlth, Dept Social & Behav Sci, Boston, MA USA
[8] Erasmsus Med Ctr, Dept Epidemiol, Rotterdam, Netherlands
来源
关键词
Carotid intima-media thickness; information processing; executive function; memory; mini-mental status examination; population-based study; cross-sectional; RISK-FACTORS; ATHEROSCLEROSIS; DISEASE; PREVALENCE; PREDICTORS; INFARCTION; BURDEN;
D O I
10.1097/WAD.0000000000000542
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Introduction: Atherosclerosis has been shown to impact cognitive impairment, with most of the evidence originating from European, African, or East Asian populations that have employed carotid intima-media thickness (cIMT) as a biomarker for atherosclerosis. Vascular disease is related to dementia/cognitive decline. There is no community-based study from India that has looked at the association of cIMT with cognitive performance. Methods: In this cross-sectional study between December 2014 and 2019, we recruited 7505 persons [(mean age 64.6 (9.2) y) and 50.9% women] from a community-dwelling population in New Delhi. These persons underwent carotid ultrasound to quantify cIMT and a cognitive test battery that tapped into memory, processing speed, and executive function. We also computed the general cognitive factor (g-factor), which was identified as the first unrotated component of the principal component analysis and explained 37.4% of all variances in the cognitive tests. We constructed multivariate linear regression models adjusted for age, sex, education, and cardiovascular risk factors. Additional adjustment was made for depression, anxiety, and psychosocial support in the final model. Results: We found a significant association of higher cIMT with worse performance in general cognition (beta=-0. 01(95% CI: -0.01; -0.01); P<0.001), processing speed (beta=-0.20; 95% CI: -0.34; -0.07); P=0.003), memory (beta=-0.29; 95% CI: -0.53; -0.05); P=0.016), and executive function (beta=-0.54; 95% CI: -0.75; -0.33); P=<0.001). There was no statistically significant association of cIMT with Mini-Mental Status Examination score (beta=0.02; 95% CI: -0.34; 0.40; 0.89). Conclusion: The cross-sectional study found significant associations of increased cIMT with worse performance in global cognition, information processing, memory, and executive function.
引用
收藏
页码:35 / 41
页数:7
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