Cross-cultural difference and validation of the Chinese version of Montreal Cognitive Assessment in older adults residing in Eastern China: Preliminary findings

2013 ◽  
Vol 56 (1) ◽  
pp. 38-43 ◽  
Author(s):  
Jian-bo Hu ◽  
Wei-hua Zhou ◽  
Shao-hua Hu ◽  
Man-li Huang ◽  
Ning Wei ◽  
...  
2021 ◽  
pp. 089198872110361
Author(s):  
Yue Hong ◽  
Xiaoyi Zeng ◽  
Carolyn W. Zhu ◽  
Judith Neugroschl ◽  
Amy Aloysi ◽  
...  

Objective: This study aims to evaluate the performance of a Chinese version of the Montreal Cognitive Assessment (MoCA) as a screener to detect mild cognitive impairment (MCI) and dementia from normal cognition in the monolingual Chinese-speaking immigrant population. Method: A cohort of 176 Chinese-speaking older adults from the National Alzheimer’s Coordinating Center Uniform Data Set is used for analysis. We explore the impact of demographic variables on MoCA performance and calculate the optimal cutoffs for the detection of MCI and dementia from normal cognition with appropriate demographic adjustment. Results: MoCA performance is predicted by age and education independent of clinical diagnoses, but not by sex, years of living in the U.S., or primary Chinese dialect spoken (i.e., Mandarin vs. Cantonese). With adjustment and stratification for education and age, we identify optimal cutoff scores to detect MCI and dementia, respectively, in this population. These optimal cutoff scores are different from the established scores for non-Chinese-speaking populations residing in the U.S. Conclusions: Our findings suggest that the Chinese version of MoCA is a valid screener to detect cognitive decline in older Chinese-speaking immigrants in the U.S. They also highlight the need for population-based cutoff scores with appropriate considerations for demographic variables.


2018 ◽  
Vol 28 (9) ◽  
pp. 2700-2704 ◽  
Author(s):  
Samantha H. Mohun ◽  
Mary B. Spitznagel ◽  
John Gunstad ◽  
Amber Rochette ◽  
Leslie J. Heinberg

2021 ◽  
Vol 15 (9) ◽  
pp. 2272-2275
Author(s):  
Hafsah Arshad ◽  
Kinza Anwar ◽  
Hafsah Gul Khattak ◽  
Imran Amjad ◽  
Yaser Majeed

Aim: To determine effects of Kinect- based games on neurocognitive functions in older adults with mild cognitive impairment. Methodology: A quasi experimental pre-post trail was conducted on 18 mild cognitive impairment (MCI) older adults. The subjects were recruited to access cognitive impairment through purposive sampling technique. The inclusion criteria were elderly aged ≥ 50 years, both genders, able to read and write, whereas older adults with severe cognitive impairments, neurological disorders and un controlled comorbidities were excluded. Brain training was provided for 30 minutes with 5-minute warm-up time and 5-minute cool-down time for 6 weeks. Blind assessor measured readings at baseline and after six weeks. The outcome measures were Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MOCA), Trail making test A & B and verbal fluency test (Semantic &Phonemic). The data was analyzed at baseline and after six weeks of intervention Results: Significant improvements were observed in post-test measurements (p <0.05) in MMSE, MoCA, TMT A & B and verbal fluency (Semantic &Phonemic) tests after 6 weeks of treatment. Conclusion: Kinect-based virtual reality games are beneficial in improving cognitive abilities of older adults with mild cognitive impairment. Keywords: Cognitive training, Mild cognitive impairment, Montreal Cognitive Assessment


2019 ◽  
Vol 39 (10) ◽  
pp. 1115-1123 ◽  
Author(s):  
Ryan J. Walsh ◽  
Jenica Lee ◽  
Ruxandra M. Drasga ◽  
Caniece S. Leggett ◽  
Holly M. Shapnick ◽  
...  

Background: Older adults manage increasing numbers of everyday technologies to participate in home and community activities. Purpose: We investigated how assessing use of everyday technologies enhanced predictions of overall needed assistance among urban older adults. Method: We used a cross-sectional design to analyze responses from 114 participants completing the Everyday Technology Use Questionnaire, the Montreal Cognitive Assessment, and a sociodemographic questionnaire. We estimated overall needed assistance based on definitions in the Assessment of Motor and Process Skills. We created logistic regression models and receiver operator characteristic curves to analyze variables predicting overall needed assistance. Findings: With high specificity and sensitivity, the Everyday Technology Use Questionnaire and the Montreal Cognitive Assessment were the strongest predictors of overall needed assistance. Implications: Assessing everyday technology use enhanced predictions of overall needed assistance among urban older adults.


2019 ◽  
Author(s):  
Yan-rong Zhang ◽  
Yun-Long Ding ◽  
Ke-liang Chen ◽  
Yan Liu ◽  
Can Wei ◽  
...  

Abstract Background To determine whether items of the Chinese version of the Montreal Cognitive Assessment Basic (MoCA-BC) could discriminate among cognitively normal controls (NC), and those with mild cognitive impairment (MCI), mild Alzheimer’s disease (AD), and moderate-severe (AD), as well as their sensitivity and specificity.Methods MCI (n=456), mild AD (n=502) and moderate-severe AD (n=102) patients were recruited from the memory clinic, Huashan Hospital, Shanghai, China. NC (n=329) were recruited from health checkup outpatients. Five MoCA-BC item scores were collected in interviews.Results The MoCA-BC orientation test had high sensitivity and specificity for discrimination among MCI, mild AD and moderate-severe AD. The delayed recall memory test had high sensitivity and specificity for MCI screening. The verbal fluency test was efficient for detecting MCI and differentiating AD severity.Conclusions Various items of the MoCA-BC can identify MCI patients early and identify the severity of dementia.


2019 ◽  
Author(s):  
Yan-rong Zhang ◽  
Yun-Long Ding ◽  
Ke-liang Chen ◽  
Yan Liu ◽  
Can Wei ◽  
...  

Abstract Background To determine whether items of the Chinese version of the Montreal Cognitive Assessment Basic (MoCA-BC) could discriminate among cognitively normal controls (NC), and those with mild cognitive impairment (MCI), mild Alzheimer’s disease (AD), and moderate-severe (AD). Methods MCI (n=456), mild AD (n=502) and moderate-severe AD (n=102) patients were recruited from the memory clinic, Huashan Hospital, Shanghai, China. NC (n=329) were recruited from health checkup outpatients. Five MoCA-BC item scores were collected in interviews. Results The MoCA-BC orientation test had high sensitivity and specificity for discrimination among MCI, mild AD and moderate-severe AD. The delay recall memory test had high sensitivity and specificity for MCI screening. The verbal fluency test was efficient for detecting MCI and differentiating AD severity. Conclusions Various items of the MoCA-BC can identify MCI patients early and identify the severity of dementia.


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