Kuchibhatla Maragatha, Hunter Jaimie C, Plassman Brenda L, Lutz Michael W, Casanova Ramon, Saldana Santiago, Hayden Kathleen M
Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC, USA.
Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA.
Aging Ment Health. 2020 Sep;24(9):1479-1486. doi: 10.1080/13607863.2019.1594169. Epub 2019 Apr 25.
A small but growing body of evidence supports a relationship between neighborhood socioeconomic status (NSES) and cognitive decline. Additional work is needed to characterize this relationship controlling for risk factors such as cardiovascular, cerebrovascular, and genetic risk factors. Cognitive decline was assessed in association with NSES, and cardiovascular and cerebrovascular risk factors (heart disease, diabetes, hypertension, and stroke) in 8,198 individuals from the 1992-2010 waves of the Health and Retirement Study (HRS). Latent class trajectory analysis determined the number of cognitive trajectory classes that best fit the data, and a multinomial logistic regression model in the latent class framework assessed the risk for cognitive classes conferred by NSES index score and heart disease, diabetes, hypertension, and stroke across three trajectory classes of cognitive function. The analyses controlled for genetic risk for cognitive decline (including APOE genotype) and demographic variables, including education. The HRS sample was 57.6% female and 85.5% White, with a mean age of 67.5(3.5) years at baseline. The three-quadratic-class model best fit the data, where higher classes represented better cognitive function. Those with better cognitive function were mainly younger white females. Those in the highest quartile of NSES had 57% higher odds of being in the high cognitive function class. Heart disease, diabetes, hypertension, and stroke each increased the odds having of lower cognitive function. In examining the relationship of cognitive status with various variables, neighborhood socioeconomic status, cardiovascular risk, and cerebrovascular risk persisted across the cognitive trajectory classes.
越来越多的证据表明社区社会经济地位(NSES)与认知衰退之间存在关联。需要开展更多研究来描述这种关系,并控制心血管、脑血管和遗传等风险因素。在健康与退休研究(HRS)1992 - 2010年各波次的8198名个体中,评估了认知衰退与NSES以及心血管和脑血管风险因素(心脏病、糖尿病、高血压和中风)之间的关系。潜在类别轨迹分析确定了最符合数据的认知轨迹类别数量,潜在类别框架下的多项逻辑回归模型评估了NSES指数得分以及心脏病、糖尿病、高血压和中风在认知功能的三个轨迹类别中赋予认知类别的风险。分析控制了认知衰退的遗传风险(包括APOE基因型)和人口统计学变量,包括教育程度。HRS样本中女性占57.6%,白人占85.5%,基线时平均年龄为67.5(3.5)岁。三次曲线类别模型最符合数据,其中较高类别代表更好的认知功能。认知功能较好的主要是年轻白人女性。NSES处于最高四分位数的人群处于高认知功能类别的几率高57%。心脏病、糖尿病、高血压和中风各自增加了认知功能较低的几率。在研究认知状态与各种变量的关系时,社区社会经济地位、心血管风险和脑血管风险在认知轨迹类别中持续存在。