Anxin Wang1, Ruixuan Jiang2, Zhaoping Su3, Jiaokun Jia2, Ning Zhang2, Jianwei Wu2, Shengyun Chen4, Xingquan Zhao5. 1. Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, 100050, China; Department of Neurology, Beijing Tian Tan Hospital, Capital Medical University, Beijing, 100050, China; China National Clinical Research Center for Neurological Diseases, Beijing, 100050, China; Center of Stroke, Beijing Institute for Brain Disorders, Beijing, 100050, China; Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, 100050, China. 2. Department of Neurology, Beijing Tian Tan Hospital, Capital Medical University, Beijing, 100050, China; China National Clinical Research Center for Neurological Diseases, Beijing, 100050, China; Center of Stroke, Beijing Institute for Brain Disorders, Beijing, 100050, China; Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, 100050, China. 3. Department of Epidemiology and Health Statistics, Academy of Public Health and Management, Weifang Medical University, Weifang, China. 4. Department of Neurology, Beijing Tian Tan Hospital, Capital Medical University, Beijing, 100050, China; China National Clinical Research Center for Neurological Diseases, Beijing, 100050, China; Center of Stroke, Beijing Institute for Brain Disorders, Beijing, 100050, China; Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, 100050, China. Electronic address: csywindy@163.com. 5. Department of Neurology, Beijing Tian Tan Hospital, Capital Medical University, Beijing, 100050, China; China National Clinical Research Center for Neurological Diseases, Beijing, 100050, China; Center of Stroke, Beijing Institute for Brain Disorders, Beijing, 100050, China; Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, 100050, China. Electronic address: zxq@vip.163.com.
Abstract
BACKGROUND AND AIMS: Given the recognized links between atherosclerosis and cognitive impairment, the aim of this study was to examine the association between the ankle-brachial index (ABI) and cognitive impairment in a cross-sectional setting of a Chinese population. METHODS: Participants (n = 3,048, aged ≥40 years, 1727 men and 1321 women) were recruited from the ongoing community-based Asymptomatic Polyvascular Abnormalities Community Study. ABI was measured and a low ABI was defined as <0.9. Cognition status was evaluated via the Mini-Mental Status Exam. Multivariate logistic regression models and linear regression models were used to assess the association between ABI and cognitive impairment. RESULTS: A low ABI was associated with cognitive impairment (odds ratio, OR = 1.983; 95% confidence interval, CI: 1.150-3.419), independent of the potential confounders. In addition, a decreasing ABI (per standard deviation) was significantly associated with cognitive impairment in fully adjusted models (OR = 1.156; CI: 1.013-1.319) and with a significant trend of decreasing MMSE scores (β = 0.703, 95% CI 0.189-1.218, p = 0.0074). Furthermore, the odds of a low ABI associated with cognitive impairment in participants without hypertension and participants with diabetes were 4.924 (CI: 1.860-13.035) and 6.393 (CI: 2.431-16.810), respectively. CONCLUSIONS: A low ABI is associated with cognitive impairment, especially in non-hypertensive and diabetic patients. Copyright Â
BACKGROUND AND AIMS: Given the recognized links between atherosclerosis and cognitive impairment, the aim of this study was to examine the association between the ankle-brachial index (ABI) and cognitive impairment in a cross-sectional setting of a Chinese population. METHODS:Participants (n = 3,048, aged ≥40 years, 1727 men and 1321 women) were recruited from the ongoing community-based Asymptomatic Polyvascular Abnormalities Community Study. ABI was measured and a low ABI was defined as <0.9. Cognition status was evaluated via the Mini-Mental Status Exam. Multivariate logistic regression models and linear regression models were used to assess the association between ABI and cognitive impairment. RESULTS: A low ABI was associated with cognitive impairment (odds ratio, OR = 1.983; 95% confidence interval, CI: 1.150-3.419), independent of the potential confounders. In addition, a decreasing ABI (per standard deviation) was significantly associated with cognitive impairment in fully adjusted models (OR = 1.156; CI: 1.013-1.319) and with a significant trend of decreasing MMSE scores (β = 0.703, 95% CI 0.189-1.218, p = 0.0074). Furthermore, the odds of a low ABI associated with cognitive impairment in participants without hypertension and participants with diabetes were 4.924 (CI: 1.860-13.035) and 6.393 (CI: 2.431-16.810), respectively. CONCLUSIONS: A low ABI is associated with cognitive impairment, especially in non-hypertensive and diabeticpatients. Copyright Â