有哪些信誉好的足球投注网站the beijing version of the montreal cognitive assessment as a brief screening tool for mild cognitive impairment a community-based study北京版的蒙特利尔认知评估作为一个短暂的轻度认知障碍筛查工具以社区为基础的研究.pdfVIP
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the beijing version of the montreal cognitive assessment as a brief screening tool for mild cognitive impairment a community-based study北京版的蒙特利尔认知评估作为一个短暂的轻度认知障碍筛查工具以社区为基础的研究
Yu et al. BMC Psychiatry 2012, 12:156 /1471-244X/12/156 RESEARCH ARTICLE Open Access The Beijing version of the montreal cognitive assessment as a brief screening tool for mild cognitive impairment: a community-based study Jing Yu1,2,3, Juan Li1* and Xin Huang1,2 Abstract Background: A cross-sectional validation study was conducted in several urban and rural communities in Beijing, China, to evaluate the effectiveness of the Beijing version of the Montreal Cognitive Assessment (MoCA-BJ) as a screening tool to detect mild cognitive impairment (MCI) among Chinese older adults. Methods: The MoCA-BJ and the Mini-Mental State Examination (MMSE) were administered to 1001 Chinese elderly community dwellers recruited from three different regions (i.e., newly developed, old down-town, and rural areas) in Beijing. Twenty-one of these participants were diagnosed by experienced psychiatrists as having dementia, 115 participants were diagnosed as MCI, and 865 participants were considered to be cognitively normal. To analyze the effectiveness of the MoCA-BJ, we examined its psychometric properties, conducted item analyses, evaluated the sensitivity and specificity of the scale, and compared the scale with the MMSE. Demographic and regional differences among our subjects were also taken into consideration. Results: Under the recommended cut-off score of 26, the MoCA-BJ demonstrated an excellent sensitivity of 90.4%, and a fair specificity (31.3%). The MoCA-BJ showed optimal sensitivity (68.7%) and specificity (63.9%) when the cut-off score was lowered to 22. Among all the seven cognitive sub-domains, delayed recall was shown to be the best index to differentiate MCI from the normal controls. Regional differences disappeared when the confounding demographic variables (i.e., age and education) were controlled. Item analysis sho
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