Leung-Wing Chu1, Kathy H Y Ng, Andrew C K Law, Antoinette M Lee, Fiona Kwan. 1. Division of Geriatric Medicine, Department of Medicine, Queen Mary Hospital, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong; Alzheimer's Disease Research Network, The University of Hong Kong, Pokfulam, Hong Kong; Research Center of Heart, Brain, Hormone & Healthy Aging, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong; Sau Po Center on Aging, The University of Hong Kong, Pokfulam, Hong Kong.
Abstract
AIM: The objective of the present study was to investigate the reliability and the validity of the Cantonese Chinese Montreal Cognitive Assessment (MoCA) as a brief screening tool of amnestic mild cognitive impairment (aMCI) and Alzheimer's disease (AD) in Southern Chinese older adults. METHODS: Cognitively normal, aMCI and AD Cantonese-speaking Chinese older adults were recruited from a memory clinic and the community. The English MoCA was translated into Cantonese Chinese and then back-translated. We then evaluated the content validity, reliability, sensitivity and specificity of the Chinese Cantonese MoCA. RESULTS: We recruited 115 cognitively normal controls, 87 aMCI and 64 AD patients. Only education was positively correlated with the Cantonese MoCA score (r = 0.46, P < 0.001). The Chinese Cantonese MoCA had a high internal consistency with a Cronbach's alpha of 0.85. In the test-retest reliability assessment, the intraclass correlation coefficient (ICC) was 0.95 (P < 0.001). The ICC for the interrater reliability was 0.96 (P < 0.001). Receiving operating characteristic curve analyses showed an area under the curve of 0.85 and 0.99 for aMCI and AD, respectively (both P < 0.001). The optimal cut-off score for detection of aMCI was 22/23, which yielded a sensitivity and specificity of 78% and 73%, respectively. The optimal cut-off score for detection of AD was 19/20, which gave sensitivity and specificity of 94% and 92%, respectively. CONCLUSION: The Cantonese Chinese MoCA is a consistent and reliable instrument. In terms of its validity, the MoCA is better in the detection of AD than aMCI in Cantonese-speaking Chinese persons. It is only fair for the screening of aMCI.
AIM: The objective of the present study was to investigate the reliability and the validity of the Cantonese Chinese Montreal Cognitive Assessment (MoCA) as a brief screening tool of amnestic mild cognitive impairment (aMCI) and Alzheimer's disease (AD) in Southern Chinese older adults. METHODS: Cognitively normal, aMCI and AD Cantonese-speaking Chinese older adults were recruited from a memory clinic and the community. The English MoCA was translated into Cantonese Chinese and then back-translated. We then evaluated the content validity, reliability, sensitivity and specificity of the Chinese Cantonese MoCA. RESULTS: We recruited 115 cognitively normal controls, 87 aMCI and 64 ADpatients. Only education was positively correlated with the Cantonese MoCA score (r = 0.46, P < 0.001). The Chinese Cantonese MoCA had a high internal consistency with a Cronbach's alpha of 0.85. In the test-retest reliability assessment, the intraclass correlation coefficient (ICC) was 0.95 (P < 0.001). The ICC for the interrater reliability was 0.96 (P < 0.001). Receiving operating characteristic curve analyses showed an area under the curve of 0.85 and 0.99 for aMCI and AD, respectively (both P < 0.001). The optimal cut-off score for detection of aMCI was 22/23, which yielded a sensitivity and specificity of 78% and 73%, respectively. The optimal cut-off score for detection of AD was 19/20, which gave sensitivity and specificity of 94% and 92%, respectively. CONCLUSION: The Cantonese Chinese MoCA is a consistent and reliable instrument. In terms of its validity, the MoCA is better in the detection of AD than aMCI in Cantonese-speaking Chinese persons. It is only fair for the screening of aMCI.
Authors: José Wagner Leonel Tavares-Júnior; Ana Célia Caetano de Souza; Gilberto Sousa Alves; Janine de Carvalho Bonfadini; José Ibiapina Siqueira-Neto; Pedro Braga-Neto Journal: Front Psychiatry Date: 2019-12-13 Impact factor: 4.157
Authors: Zhenren Peng; Hu Jiang; Xiaomin Wang; Kaiyong Huang; Yukun Zuo; Xiangmin Wu; Abu S Abdullah; Li Yang Journal: Biomed Res Int Date: 2019-11-30 Impact factor: 3.246