Rosso Andrea L, Flatt Jason D, Carlson Michelle C, Lovasi Gina S, Rosano Caterina, Brown Arleen F, Matthews Karen A, Gianaros Peter J
Am J Epidemiol. 2016 Jun 15;183(12):1088-97. doi: 10.1093/aje/kwv337. Epub 2016 Jun 2.
Neighborhood socioeconomic status (NSES) is associated with cognitive function, independently of individual demographic, health, and socioeconomic characteristics. However, research has been largely cross-sectional, and mechanisms of the association are unknown. In 1992-1993, Cardiovascular Health Study participants (n = 3,595; mean age = 74.8 years; 15.7% black) underwent cognitive testing and magnetic resonance imaging of white matter hyperintensities (WMH), and their addresses were geocoded. NSES was calculated using 1990 US Census data (block groups; 6 measures of wealth, education, and occupation). The Modified Mini-Mental State Examination (3MS) was used to assess general cognition, and the Digit Symbol Substitution Test (DSST) was used to assess speed of processing annually for 6 years. Associations of race-specific NSES tertiles with 3MS, DSST, and WMH were estimated using linear mixed-effects models accounting for geographic clustering, stratified by race, and adjusted for demographic, health, and individual socioeconomic status (education, income, lifetime occupational status) variables. In fully adjusted models, higher NSES was associated with higher 3MS scores in blacks (mean difference between highest and lowest NSES = 2.4 points; P = 0.004) and whites (mean difference = 0.7 points; P = 0.02) at baseline but not with changes in 3MS over time. NSES was marginally associated with DSST and was not associated with WMH. Adjustment for WMH did not attenuate NSES-3MS associations. Associations of NSES with cognition in late adulthood differ by race, are not explained by WMH, and are evident only at baseline.
邻里社会经济地位(NSES)与认知功能相关,独立于个体人口统计学、健康状况和社会经济特征。然而,相关研究大多为横断面研究,这种关联的机制尚不清楚。在1992 - 1993年,心血管健康研究的参与者(n = 3595;平均年龄 = 74.8岁;15.7%为黑人)接受了认知测试和白质高信号(WMH)的磁共振成像检查,其住址进行了地理编码。NSES使用1990年美国人口普查数据(街区组;财富、教育和职业的6项指标)计算得出。采用改良简易精神状态检查表(3MS)评估总体认知,采用数字符号替换测验(DSST)每年评估6年的加工速度。使用考虑地理聚类的线性混合效应模型估计特定种族的NSES三分位数与3MS、DSST和WMH之间的关联,按种族分层,并对人口统计学、健康状况和个体社会经济地位(教育、收入、终身职业地位)变量进行调整。在完全调整模型中,较高的NSES在基线时与黑人(最高和最低NSES之间的平均差异 = 2.4分;P = 0.004)和白人(平均差异 = 0.7分;P = 0.02)的较高3MS得分相关,但与3MS随时间的变化无关。NSES与DSST存在微弱关联,与WMH无关。对WMH进行调整并未减弱NSES - 3MS之间的关联。NSES与成年晚期认知的关联因种族而异,不能用WMH来解释,且仅在基线时明显。