Wilson Robert S, Rajan Kumar B, Barnes Lisa L, Weuve Jennifer, Evans Denis A
Rush Alzheimer's Disease Center, Department of Neurological Sciences, Rush University Medical Center.
Rush Institute for Healthy Aging.
Neuropsychology. 2016 Jul;30(5):517-24. doi: 10.1037/neu0000290. Epub 2016 May 5.
The study aim was to identify factors associated with racial differences in level of cognitive function in old age.
Older Black (n = 5,950) and White (n = 3,469) residents of a geographically defined urban community were randomly split into exploratory and confirmatory subgroups. A global measure of cognition was derived from 4 brief performance tests, and potential correlates of cognition (candidates) were selected from demographic, health-related, and experiential measures. In the exploratory subgroup, using a stepwise search algorithm, we examined the cognitive difference by race and then allowed candidate measures and Race × Candidate Measure interactions to enter the model.
The cognitive score in the exploratory subgroup (M = 0.257, SD = 0.714) was a mean of 0.403 unit lower in Black persons than White persons (SE = 0.021, p < .001), and race accounted for 7% of cognitive variability. After the candidate selection process, 16 measures were retained, including 12 candidate measures and the 2-way interactions of race with education, age, reading/cognitive activity, and neuroticism. In this model, which accounted for 45% of the variability in global cognition, race was no longer associated with global cognition (coefficient = 0.012, SE = 0.110, p = .912). Findings were replicated in the confirmatory subgroup.
These cross-sectional analyses suggest that consideration of demographic, health-related, and experiential factors greatly attenuates racial differences in late-life level of cognition. (PsycINFO Database Record
本研究旨在确定与老年认知功能水平种族差异相关的因素。
将一个地理区域界定明确的城市社区中的老年黑人居民(n = 5950)和白人居民(n = 3469)随机分为探索性子组和验证性子组。通过4项简短表现测试得出认知的综合测量指标,并从人口统计学、健康相关及经验性测量指标中选取认知的潜在相关因素(候选因素)。在探索性子组中,我们使用逐步搜索算法,先按种族检验认知差异,然后让候选测量指标以及种族×候选测量指标的交互项进入模型。
探索性子组中的认知得分(M = 0.257,标准差 = 0.714)显示,黑人的平均分比白人低0.403个单位(标准误 = 0.021,p <.001),种族因素解释了7%的认知变异性。经过候选因素筛选过程后,保留了16项测量指标,包括12项候选测量指标以及种族与教育程度、年龄、阅读/认知活动和神经质的双向交互项。在这个解释了45%的总体认知变异性的模型中,种族不再与总体认知相关(系数 = 0.012,标准误 = 0.110,p = 0.912)。研究结果在验证性子组中得到了重复验证。
这些横断面分析表明,考虑人口统计学、健康相关及经验性因素可大大减弱晚年认知水平的种族差异。(《心理学文摘数据库记录》)