IR@PKUHSC  > 北京大学第三临床医学院  > 临床流行病学研究中心
学科主题临床医学
Optimal Cutoff Scores for Dementia and Mild Cognitive Impairment of the Montreal Cognitive Assessment among Elderly and Oldest-Old Chinese Population
Tan, Ji-Ping1; Li, Nan2; Gao, Jing3; Wang, Lu-ning1; Zhao, Yi-ming2; Yu, Bao-cheng4; Du, Wei5; Zhang, Wen-jun6; Cui, Lian-qi7; Wang, Qing-song8; Li, Jian-jun9,10; Yang, Jin-sheng; Yu, Jian-min11; Xia, Xiang-nan12; Zhou, Pei-yi13
关键词Dementia Elderly Mild Cognitive Impairment Mini-mental State Examination Montreal Cognitive Assessment Oldest Old
刊名JOURNAL OF ALZHEIMERS DISEASE
2015
DOI10.3233/JAD-141278
43期:4页:1403-1412
收录类别SCI
文章类型Article
WOS标题词Science & Technology
类目[WOS]Neurosciences
资助者Special Research Project on Health Care, Health Sector of the General Logistics Department of People&prime ; s Liberation Army ; national science and technology support program ; Special Research Project on Health Care, Health Sector of the General Logistics Department of People&prime ; s Liberation Army ; national science and technology support program
研究领域[WOS]Neurosciences & Neurology
关键词[WOS]BRIEF SCREENING TOOL ; ASSESSMENT MOCA ; ALZHEIMERS-DISEASE ; VERSION ; VALIDATION ; VALIDITY
英文摘要

Background: All versions of the Montreal Cognitive Assessment (MoCA) lack population-based data of 80-plus individuals. The norms and cut-off scores for mild cognitive impairment (MCI) and dementia of the MoCA are different among five Chinese versions.

Objective: To provide the cut-off scores in detecting MCI and dementia of the Peking Medical Union College Hospital version of the MoCA (MoCA-P).

Methods: In a cross-sectional survey, Chinese veterans aged >= 60 years completed the MoCA-P and the Mini-Mental State Examination (MMSE).

Results: Among 7,445 elderly veterans, 5,085 (68.30%) were aged >= 80 years old, 2,621 (35.20%) had 6 years of education or less, 6,847 (91.97%) were male, and 2,311 (31.04%) and 984 (13.22%) veterans were diagnosed as having MCI and dementia, respectively. Adding two points and one point to the MoCA scores for the primary and middle school groups, respectively, can fully adjust for the notable impact of education but cannot compensate for the effect of age. In the three age groups (60-79, 80-89, and >= 90 years old), the optimal MoCA-P cut-off scores for detecting MCI were <= 25, <= 24, and <= 23, respectively, and for detecting dementia were <= 24, <= 21, and <= 19, respectively, which demonstrated relatively high sensitivities and specificities. The areas under the curves for the MoCA-P for detecting MCI and dementia (0.937 and 0.908, respectively) were greater than those for the MMSE (0.848 and 0.892, respectively).

Conclusion: Compared with the MMSE, the MoCA-P is significantly better for detecting MCI in the elderly, particularly in the oldest old population, and it also displays more effectiveness in detecting dementia.

语种英语
所属项目编号07BJZ04 ; 10BJZ19 ; 11BJZ09 ; 12BJZ46 ; 2013BAI09B14
资助者Special Research Project on Health Care, Health Sector of the General Logistics Department of People&prime ; s Liberation Army ; national science and technology support program ; Special Research Project on Health Care, Health Sector of the General Logistics Department of People&prime ; s Liberation Army ; national science and technology support program
WOS记录号WOS:000346857400027
Citation statistics
Cited Times:16[WOS]   [WOS Record]     [Related Records in WOS]
文献类型期刊论文
条目标识符http://ir.bjmu.edu.cn/handle/400002259/56152
Collection北京大学第三临床医学院_临床流行病学研究中心
作者单位1.Bethune Int Peace Hosp, Dept Gerontol, Shijiazhuang, Peoples R China
2.Chinese PLA 201 Hosp, Dept Neurol, Dalian, Peoples R China
3.Changhai Hosp, Dept Gerontol, Shanghai, Peoples R China
4.Chinese PLA 401 Hosp, Dept Neurol, Qingdao, Peoples R China
5.Gen Hosp Chengdu Mil Command, Dept Neurol, Chengdu, Peoples R China
6.Chinese PLA 323 Hosp, Dept Neurol, Xian, Peoples R China
7.Gen Hosp Lanzhou Mil Command, Dept Neurol, Lanzhou, Peoples R China
8.Chinese PLA 107 Hosp, Dept Neurol, Yantai, Peoples R China
9.Chinese Peoples Liberat Army Gen Hosp, Dept Geriatr Neurol, Beijing, Peoples R China
10.Peking Univ, Hosp 3, Res Ctr Clin Epidemiol, Beijing 100871, Peoples R China
11.Beijing Union Med Coll Hosp, Dept Neurol, Beijing 100730, Peoples R China
12.Fuzhou Gen Hosp Nanjing Mil Command, Cadre Dept 1, Fuzhou, Peoples R China
13.Gen Hosp Guangzhou Mil Command, Cadre Dept 4, Guangzhou, Guangdong, Peoples R China
Recommended Citation
GB/T 7714
Tan, Ji-Ping,Li, Nan,Gao, Jing,et al. Optimal Cutoff Scores for Dementia and Mild Cognitive Impairment of the Montreal Cognitive Assessment among Elderly and Oldest-Old Chinese Population[J]. JOURNAL OF ALZHEIMERS DISEASE,2015,43(4):1403-1412.
APA Tan, Ji-Ping.,Li, Nan.,Gao, Jing.,Wang, Lu-ning.,Zhao, Yi-ming.,...&Zhou, Pei-yi.(2015).Optimal Cutoff Scores for Dementia and Mild Cognitive Impairment of the Montreal Cognitive Assessment among Elderly and Oldest-Old Chinese Population.JOURNAL OF ALZHEIMERS DISEASE,43(4),1403-1412.
MLA Tan, Ji-Ping,et al."Optimal Cutoff Scores for Dementia and Mild Cognitive Impairment of the Montreal Cognitive Assessment among Elderly and Oldest-Old Chinese Population".JOURNAL OF ALZHEIMERS DISEASE 43.4(2015):1403-1412.
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