认知正常老年人的实际智力与 CAMCOG-R 之间的关系

Jeremia Heinik
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摘要

摘要:我们研究了(1)认知能力正常的老年人的实际智力与 CAMCOG-R 成绩之间的关系;(2)年龄和教育程度对这种关系的假定影响。我们的回顾性研究对 94 名参与者进行了专门评估,用韦氏成人智力量表-Ⅲ、全量表智商(WAIS-Ⅲ FSIQ)及其特定子测试测量实际智力(一般智力和特殊智力)。CAMCOG-R 在很大程度上与 FSIQ 相关(.629,p <.001;与年龄相关时为 0.708)。随着智商的提高,CAMCOG-R 的得分在三个不同的智商水平上都有所提高。FSIQ 占 CAMCOG-R 变异性的 40%。FSIQ 和年龄加在一起占 CAMCOG-R 变异性的 59%。FSIQ 的权重高于年龄(β:分别为 0.644 和 -.439)。通过对 FSIQ 的子测试、年龄和教育程度进行回归分析,发现最佳平衡模型包括信息、年龄和图片完成度。三者合计占 CAMCOG-R 变异性的 55%。信息的权重最大(β:0.411)。总体而言,教育程度并不显著。因此,一般智力与 CAMCOG-R 之间存在着重要关系,而上述智力分测验与 CAMCOG-R 之间的关系较小。加入年龄会增加预测率。在解释 CAMCOG-R 分数时,应考虑实际智力和年龄。智力因素的实际应用是复杂的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Relationship Between Actual Intelligence & the CAMCOG-R in Cognitively Normal Elders
Abstract: We examined (1) the relationship between actual intelligence and the CAMCOG-R performance in cognitively normal elders and (2) the presumed impact of age and education on the relationship. Our retrospective study of 94 participants assessed in a specialized setting, measuring actual intelligence (general and specific) with the Wechsler Adult Intelligence Scale-III, the Full-Scale Intelligence Quotient (WAIS-III FSIQ), and the specific subtests thereof. The CAMCOG-R correlated largely with FSIQ (.629, p < .001; .708 when controlled for age). The CAMCOG-R’s scores increased across three different IQ levels as IQ increased. FSIQ accounted for 40% of the CAMCOG-R’s variability. Combined, FSIQ and age accounted for 59% of the CAMCOG-R’s variability. FSIQ had a stronger weight than age (β: .644 and −.439, respectively). Regression analyses with FSIQ’s subtests, age and education, found the best-equilibrated model to include Information, age, and Picture Completion. Combined, they accounted for 55% of the CAMCOG-R’s variability. Information received the strongest weight (β: .411). Overall, education was nonsignificant. Thus, a significant relationship existed primarily between general intelligence and the CAMCOG-R and, to a lesser extent, between the above-mentioned subtests of intelligence and the CAMCOG-R. Adding age increased the prediction rate. Actual intelligence and age should be considered when interpreting the CAMCOG-R’s scores. The practical implementation of the intelligence factor is complex.
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