在线认知追踪软件（BEYNEX）的效度与信度研究
Validity and Reliability Study of Online Cognitive Tracking Software (BEYNEX).
作者信息
Çınar Nilgün, Aslan Kendirli Sude, Florentina Ateş Miruna, Yakupoğlu Ezgi, Akbuğa Ebru, Bolu Naci Emre, Karalı Fenise Selin, Okluoğlu Tuğba, Bülbül Nazlı Gamze, Bayindir Elif, Atam Kamil Tolga, Hisarlı Enis, Akgönül Sarp, Bagatır Oğulcan, Sahiner Emre, Orgen Bora, Sahiner Türker Ahmet Hasan
机构信息
Department of Neurology, Faculty of Medicine, Maltepe University, Istanbul, Turkey.
Department of Neurology, Acıbadem Altunizade Hospitals, Istanbul, Turkey.
出版信息
J Alzheimers Dis Rep. 2024 Feb 6;8(1):163-171. doi: 10.3233/ADR-230117. eCollection 2024.
BACKGROUND
Detecting cognitive impairment such as Alzheimer's disease early and tracking it over time is essential for individuals at risk of cognitive decline.
OBJECTIVE
This research aimed to validate the Beynex app's gamified assessment tests and the Beynex Performance Index (BPI) score, which monitor cognitive performance across seven categories, considering age and education data.
METHODS
Beynex test cut-off scores of participants ( = 91) were derived from the optimization function and compared to the Montreal Cognitive Assessment (MoCA) test. Validation and reliability analyses were carried out with data collected from an additional 214 participants.
RESULTS
Beynex categorization scores showed a moderate agreement with MoCA ratings (weighted Cohen's Kappa = 0.48; 95% CI: 0.38-0.60). Calculated Cronbach's Alpha indicates good internal consistency. Test-retest reliability analysis using a linear regression line fitted to results yielded R2 of 0.65 with a 95% CI: 0.58, 0.71.
DISCUSSION
Beynex's ability to reliably detect and track cognitive impairment could significantly impact public health, early intervention strategies and improve patient outcomes.
背景
对于有认知能力下降风险的个体而言，早期检测诸如阿尔茨海默病之类的认知障碍并长期跟踪监测至关重要。
目的
本研究旨在验证Beynex应用程序的游戏化评估测试以及Beynex表现指数（BPI）评分，该评分在纳入年龄和教育数据的情况下，对七个类别的认知表现进行监测。
方法
参与者（n = 91）的Beynex测试临界值分数源自优化函数，并与蒙特利尔认知评估（MoCA）测试结果进行比较。使用从另外214名参与者收集的数据进行了效度和信度分析。
结果
Beynex分类分数与MoCA评分呈现出中度一致性（加权科恩kappa系数 = 0.48；95%置信区间：0.38 - 0.60）。计算得出的克朗巴哈系数表明具有良好的内部一致性。使用拟合结果的线性回归线进行的重测信度分析得出R²为0.65，95%置信区间为：0.58，0.71。
讨论
Beynex可靠检测和跟踪认知障碍的能力可能会对公共卫生、早期干预策略产生重大影响，并改善患者预后。
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