Sawada Yoichi, Satoh Toru, Saba Hideaki, Kitamoto Hiroshi, Kato Yoshiki, Shiozuka Yoshiko, Kuwada Tomoko, Murakami Kana, Sasaki Megumi, Abe Yudai, Harano Kaori
Department of Contemporary Welfare, Faculty of Health and Welfare Okayama Prefectural University Soja Okayama Japan.
Department of Neurological Surgery Ryofukai Satoh Neurosurgical Hospital Fukuyama Hiroshima Japan.
PCN Rep. 2023 Jan 6;2(1):e67. doi: 10.1002/pcn5.67. eCollection 2023 Mar.
The aim of this study was to determine the validity and reliability of cognitive function evaluation battery, CogEvo, a recently developed computerized cognitive function evaluation battery, as a screening tool for decreased cognitive function.
The study sample comprised 123 (age: 57-97 years) community-dwelling elderly people. They were required to perform five CogEvo tasks and complete two questions-based neuropsychological tests, including the Mini-Mental State Examination, so that the correlations could be analyzed. The validity and reliability of CogEvo were examined using factor analysis, MacDonald's omega reliability coefficient, logistic regression analysis, and receiver operating characteristic curve analysis.
Exploratory factor analysis revealed the orientation/spatial cognitive function (orientation and spatial cognition) and attention/executive function (attention, memory, and execution) factors. Structural validity was supported by confirmatory factor analysis. All two-factor-based subtasks showed adequate internal consistency (MacDonald's omega ≥0.6). The total CogEvo score and two-factor scores were significantly correlated with neuropsychological test results. Based on the total CogEvo score, the cognitively normal and cognitive decline groups were identified by receiver operating characteristic curve analysis with a moderate predictive performance. The cognitive decline group was well identified using the orientation/spatial cognitive function factor.
CogEvo is a valid and reliable screening tool for cognitive function evaluation. It proved useful in the early identification of cognitive decline in our study sample.
本研究旨在确定最近开发的计算机化认知功能评估工具CogEvo作为认知功能减退筛查工具的有效性和可靠性。
研究样本包括123名（年龄57 - 97岁）社区居住的老年人。他们被要求完成五项CogEvo任务，并完成两项基于问题的神经心理学测试，包括简易精神状态检查表，以便进行相关性分析。使用因子分析、麦克唐纳ω可靠性系数、逻辑回归分析和受试者工作特征曲线分析来检验CogEvo的有效性和可靠性。
探索性因子分析揭示了定向/空间认知功能（定向和空间认知）和注意力/执行功能（注意力、记忆和执行）因子。验证性因子分析支持结构效度。所有基于双因子的子任务均显示出足够的内部一致性（麦克唐纳ω≥0.6）。CogEvo总分和双因子得分与神经心理学测试结果显著相关。根据CogEvo总分，通过受试者工作特征曲线分析确定认知正常和认知衰退组，预测性能中等。使用定向/空间认知功能因子能很好地识别认知衰退组。
CogEvo是一种有效且可靠的认知功能评估筛查工具。在我们的研究样本中，它被证明在早期识别认知衰退方面很有用。
