Inouye S K, Albert M S, Mohs R, Sun K, Berkman L F
Department of Internal Medicine, Yale University School of Medicine.
J Gerontol. 1993 Jul;48(4):M146-51. doi: 10.1093/geronj/48.4.m146.
The purpose of this study was to examine the role of demographic factors as predictors of cognitive performance in a high-functioning, community-dwelling elderly population.
The study cohort consisted of 1,192 community-dwelling subjects, who were selected to represent the highest third of an elderly population with respect to physical and cognitive functioning. A neuropsychological battery, including 5 cognitive performance subtests (confrontation naming, delayed recognition span, similarities, figure-copying, and incidental delayed recall) was administered to the subjects in their homes.
A summary measure of the 5 neuropsychological subtest scores, the total cognitive score, arrayed the study group across a broad range of difficulty, creating a near-normal distribution. Education, income, and race had statistically significant associations with the total score and the individual subtests. The effect of education was the most striking finding, explaining 30% of the variance in the total score. Education was most strongly related to the abstraction (partial R2 = .11) subtest, and least related to the memory subtests, delayed recognition (R2 = .02) and delayed recall (R2 = .01).
Demographic factors are important predictors of cognitive performance in this high-functioning cohort. Education had the strongest influence on overall cognitive performance, and particularly notable associations with subtests that depended upon the use of previously learned materials. Longitudinal follow-up, now underway, will help to determine whether high levels of education help to maintain cognitive performance with age.
本研究的目的是探讨人口统计学因素在功能良好的社区居住老年人群中作为认知表现预测指标的作用。
研究队列由1192名社区居住受试者组成,这些受试者是从身体和认知功能处于老年人群前三分之一的人群中挑选出来的。在家中对受试者进行了一套神经心理学测试,包括5项认知表现子测试(对物命名、延迟识别广度、相似性、图形临摹和附带延迟回忆)。
5项神经心理学子测试分数的综合指标,即总认知分数,将研究组按照广泛的难度范围进行了排列,形成了近似正态分布。教育程度、收入和种族与总分及各个子测试在统计学上有显著关联。教育程度的影响是最显著的发现,解释了总分中30%的变异。教育程度与抽象(偏R2 = 0.11)子测试的相关性最强,与记忆子测试、延迟识别(R2 = 0.02)和延迟回忆(R2 = 0.01)的相关性最弱。
在这个功能良好的队列中,人口统计学因素是认知表现的重要预测指标。教育程度对整体认知表现的影响最强,并且与依赖使用先前所学材料的子测试有特别显著的关联。目前正在进行的纵向随访将有助于确定高教育水平是否有助于随着年龄增长维持认知表现。