Department of Biobehavioral Sciences, Teachers College, Columbia University, New York City, NY, USA.
Department of Sociology, Maxwell School of Citizen and Public Affairs, Syracuse University, Syracuse, NY, USA.
Am J Hypertens. 2024 Oct 14;37(11):909-915. doi: 10.1093/ajh/hpae096.
In this paper, we use the Health and Retirement Study (HRS) to examine the relationship between an estimated measure of pulse wave velocity (ePWV) and cognitive impairment with no dementia and dementia, respectively.
We modeled the relationship between ePWV and cognitive status in 2006/2008 using data from 8,492 men and women (mean age 68.6 years) controlling for age, blood pressure, sociodemographic, and socioeconomic characteristics (sex, race and ethnicity, education, income, wealth), health behaviors (smoking and physical activity), body mass index (BMI), health status and related medication use (history of cardiovascular disease, diabetes, and stroke), and cerebrovascular disease (CVD)-related biomarkers (C-reactive protein, cystatin-C, hemoglobin A1c, total cholesterol, high-density lipoprotein [HDL] cholesterol). We assess cognitive function with the 27-item Langa-Weir Telephone Interview for Cognitive Status (TICS) scale. ePWV is derived from an equation based on participant age and resting blood pressure.
In a model that controlled for the constituent components of ePWV (age, age squared, systolic and diastolic blood pressure), ePWV is associated with increased odds of having cognitive impairment with no dementia (OR = 2.761) and dementia (OR = 6.344) relative to a group with no cognitive impairment or dementia. After controlling for the constituent components of ePWV, sociodemographic and socioeconomic characteristics, health behaviors, BMI, health status and medication use, and CVD-related biomarkers, ePWV remains significantly associated with dementia (OR = 3.969) but not cognitive impairment with no dementia (OR = 1.782).
These findings suggest that ePWV may be a novel research tool and biomarker of vascular aging that can be used in large, population-representative studies to examine cognitive aging and dementia risk.
在本文中，我们使用健康与退休研究（HRS）来分别检查估计的脉搏波速度（ePWV）与无痴呆和痴呆认知障碍之间的关系。
我们使用 2006/2008 年的数据，通过控制年龄、血压、社会人口统计学和社会经济特征（性别、种族和民族、教育、收入、财富）、健康行为（吸烟和体育活动）、体重指数（BMI）、健康状况和相关药物使用（心血管疾病、糖尿病和中风病史）以及与脑血管疾病（CVD）相关的生物标志物（C 反应蛋白、胱抑素 C、糖化血红蛋白、总胆固醇、高密度脂蛋白胆固醇），对 ePWV 与认知状况之间的关系进行建模。我们使用 27 项 Langa-Weir 电话认知状态测试（TICS）量表评估认知功能。ePWV 是根据参与者的年龄和静息血压得出的方程推导而来的。
在一个控制了 ePWV 组成成分（年龄、年龄平方、收缩压和舒张压）的模型中，ePWV 与认知无痴呆障碍（OR=2.761）和痴呆（OR=6.344）的发生几率增加相关，而与认知无痴呆或痴呆的组相比。在控制了 ePWV 的组成成分、社会人口统计学和社会经济特征、健康行为、BMI、健康状况和药物使用以及 CVD 相关生物标志物后，ePWV 与痴呆仍然显著相关（OR=3.969），但与认知无痴呆障碍不相关（OR=1.782）。
这些发现表明，ePWV 可能是一种新的血管老化研究工具和生物标志物，可用于大型、代表性人群研究中，以检查认知老化和痴呆风险。
