PDF(Pubmed)
Abstract：
UNASSIGNED: The Montreal Cognitive Assessment (MoCA) is a valuable tool for detecting cognitive impairment, widely used in many countries. However, there is still a lack of large sample normative data and whose cut-off values for detecting cognitive impairment is considerable controversy.
UNASSIGNED: The assessment conducted in this study utilizes the MoCA scale, specifically employing the Mandarin-8.1 version. This study recruited a total of 3,097 healthy adults aged over 20 years. We performed multiple linear regression analysis, incorporating age, gender, and education level as predictor variables, to examine their associations with the MoCA total score and subdomain scores. Subsequently, we established normative values stratified by age and education level. Finally, we included 242 patients with vascular cognitive impairment (VCI) and 137 controls with normal cognition, and determined the optimal cut-off value of VCI through ROC curves.
UNASSIGNED: The participants in this study exhibit a balanced gender distribution, with an average age of 54.46 years (SD = 14.38) and an average education period of 9.49 years (SD = 4.61). The study population demonstrates an average MoCA score of 23.25 points (SD = 4.82). The multiple linear regression analysis indicates that MoCA total score is influenced by age and education level, collectively accounting for 46.8% of the total variance. Higher age and lower education level are correlated with lower MoCA total scores. A score of 22 is the optimal cut-off value for diagnosing vascular cognitive impairment (VCI).
UNASSIGNED: This study offered normative MoCA values specific to the Chinese adults. Furthermore, this study indicated that a score of 26 may not represent the most optimal cut-off value for VCI. And for detecting VCI, a score of 22 may be a better cut-off value.
UNASSIGNED: The assessment conducted in this study utilizes the MoCA scale, specifically employing the Mandarin-8.1 version. This study recruited a total of 3,097 healthy adults aged over 20 years. We performed multiple linear regression analysis, incorporating age, gender, and education level as predictor variables, to examine their associations with the MoCA total score and subdomain scores. Subsequently, we established normative values stratified by age and education level. Finally, we included 242 patients with vascular cognitive impairment (VCI) and 137 controls with normal cognition, and determined the optimal cut-off value of VCI through ROC curves.
UNASSIGNED: The participants in this study exhibit a balanced gender distribution, with an average age of 54.46 years (SD = 14.38) and an average education period of 9.49 years (SD = 4.61). The study population demonstrates an average MoCA score of 23.25 points (SD = 4.82). The multiple linear regression analysis indicates that MoCA total score is influenced by age and education level, collectively accounting for 46.8% of the total variance. Higher age and lower education level are correlated with lower MoCA total scores. A score of 22 is the optimal cut-off value for diagnosing vascular cognitive impairment (VCI).
UNASSIGNED: This study offered normative MoCA values specific to the Chinese adults. Furthermore, this study indicated that a score of 26 may not represent the most optimal cut-off value for VCI. And for detecting VCI, a score of 22 may be a better cut-off value.
摘要：
■蒙特利尔认知评估（MoCA）是检测认知障碍的有价值的工具，在许多国家广泛使用。然而,目前仍缺乏大样本的规范性数据,其检测认知障碍的临界值存在相当大的争议.
■本研究采用MoCA量表进行评估，特别使用普通话8.1版本。这项研究共招募了3097名20岁以上的健康成年人。我们进行了多元线性回归分析，结合年龄，性别,和教育水平作为预测变量，检查它们与MoCA总分和子域分数的关联。随后，我们建立了按年龄和教育水平分层的规范价值观。最后,我们纳入了242例血管性认知障碍（VCI）患者和137例认知正常的对照，并通过ROC曲线确定VCI的最佳截断值。
■这项研究的参与者表现出平衡的性别分布，平均年龄为54.46岁（SD=14.38），平均受教育时间为9.49岁（SD=4.61）。研究人群的平均MoCA评分为23.25分（SD=4.82）。多元线性回归分析表明,MoCA总分受年龄和文化程度的影响,合计占总方差的46.8%。较高的年龄和较低的教育水平与较低的MoCA总分相关。22分是诊断血管性认知障碍(VCI)的最佳临界值。
■这项研究提供了针对中国成年人的规范MoCA值。此外，这项研究表明,26分可能并不代表VCI的最佳临界值.并且对于检测VCI,22的分数可以是更好的截止值。
■本研究采用MoCA量表进行评估，特别使用普通话8.1版本。这项研究共招募了3097名20岁以上的健康成年人。我们进行了多元线性回归分析，结合年龄，性别,和教育水平作为预测变量，检查它们与MoCA总分和子域分数的关联。随后，我们建立了按年龄和教育水平分层的规范价值观。最后,我们纳入了242例血管性认知障碍（VCI）患者和137例认知正常的对照，并通过ROC曲线确定VCI的最佳截断值。
■这项研究的参与者表现出平衡的性别分布，平均年龄为54.46岁（SD=14.38），平均受教育时间为9.49岁（SD=4.61）。研究人群的平均MoCA评分为23.25分（SD=4.82）。多元线性回归分析表明,MoCA总分受年龄和文化程度的影响,合计占总方差的46.8%。较高的年龄和较低的教育水平与较低的MoCA总分相关。22分是诊断血管性认知障碍(VCI)的最佳临界值。
■这项研究提供了针对中国成年人的规范MoCA值。此外，这项研究表明,26分可能并不代表VCI的最佳临界值.并且对于检测VCI,22的分数可以是更好的截止值。
