scholarly journals Montreal Cognitive Assessment and Modified Mini Mental State Examination in African Americans

2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
Kaycee M. Sink ◽  
Suzanne Craft ◽  
S. Carrie Smith ◽  
Joseph A. Maldjian ◽  
Donald W. Bowden ◽  
...  
Keyword(s):  
African Americans ◽  
Mental State ◽  
Cognitive Assessment ◽  
Mini Mental State Examination ◽  
Functional Brain Imaging ◽  
Montreal Cognitive Assessment ◽  
Published Data ◽  
Cross Sectional ◽  
Positive Screen ◽  
State Examination

Background. Sparse data limit the interpretation of Montreal Cognitive Assessment (MoCA) scores, particularly in minority populations. Additionally, there are no published data on how MoCA scores compare to the widely used Modified Mini Mental State Examination (3MSE). We provide performance data on the MoCA in a large cohort of African Americans and compare 3MSE and MoCA scores, providing a “crosswalk” for interpreting scores.Methods. Five hundred and thirty African Americans with type 2 diabetes were enrolled in African American-Diabetes Heart Study-MIND, a cross-sectional study of cognition and structural and functional brain imaging. After excluding participants with possible cognitive impairment (n=115), mean (SD) MoCA and 3MSE scores are presented stratified by age and education.Results. Participant mean age was 58.2 years (range: 35-83); 61% were female; and 64.9% had >12 years of education. Mean (SD) 3MSE and MoCA scores were 86.9 (8.2) and 19.8 (3.8), respectively. 93.5% of the cohort had a “positive” screen on the MoCA, scoring <26 (education-adjusted), compared with 47.5% on the 3MSE (cut-point < 88). A 3MSE score of 88 corresponded to a MoCA score of 20 in this population.Conclusion. The present data suggest the need for caution when applying proposed MoCA cutoffs to African Americans.

scholarly journals A comparison of the Mini-Mental State Examination (MMSE) with the Montreal Cognitive Assessment (MoCA) for mild cognitive impairment screening in Chinese middle-aged and older population: a cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiaofang Jia ◽  
Zhihong Wang ◽  
Feifei Huang ◽  
Chang Su ◽  
Wenwen Du ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Mental State ◽  
Cognitive Assessment ◽  
Mini Mental State Examination ◽  
Ceiling Effect ◽  
Montreal Cognitive Assessment ◽  
Cross Sectional ◽  
Relative Standard ◽  
State Examination

Abstract Background The Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) are the most commonly used scales to detect mild cognitive impairment (MCI) in population-based epidemiologic studies. However, their comparison on which is best suited to assess cognition is scarce in samples from multiple regions of China. Methods We conducted a cross-sectional analysis of 4923 adults aged ≥55 years from the Community-based Cohort Study on Nervous System Diseases. Objective cognition was assessed by Chinese versions of MMSE and MoCA, and total score and subscores of cognitive domains were calculated for each. Education-specific cutoffs of total score were used to diagnose MCI. Demographic and health-related characteristics were collected by questionnaires. Correlation and agreement for MCI between MMSE and MoCA were analyzed; group differences in cognition were evaluated; and multiple logistic regression model was used to clarify risk factors for MCI. Results The overall MCI prevalence was 28.6% for MMSE and 36.2% for MoCA. MMSE had good correlation with MoCA (Spearman correlation coefficient = 0.8374, p < 0.0001) and moderate agreement for detecting MCI with Kappa value of 0.5973 (p < 0.0001). Ceiling effect for MCI was less frequent using MoCA versus MMSE according to the distribution of total score. Percentage of relative standard deviation, the measure of inter-individual variance, for MoCA (26.9%) was greater than for MMSE (19.0%) overall (p < 0.0001). Increasing age (MMSE: OR = 2.073 for ≥75 years; MoCA: OR = 1.869 for≥75 years), female (OR = 1.280 for MMSE; OR = 1.163 for MoCA), living in county town (OR = 1.386 and 1.862 for MMSE and MoCA, respectively) or village (OR = 2.579 and 2.721 for MMSE and MoCA, respectively), smoking (OR = 1.373 and 1.288 for MMSE and MoCA, respectively), hypertension (MMSE: OR = 1.278; MoCA: OR = 1.208) and depression (MMSE: OR = 1.465; MoCA: OR = 1.350) were independently associated with greater likelihood of MCI compared to corresponding reference group in both scales (all p < 0.05). Conclusions MoCA is a better measure of cognitive function due to lack of ceiling effect and with good detection of cognitive heterogeneity. MCI prevalence is higher using MoCA compared to MMSE. Both tools identify concordantly modifiable factors for MCI, which provide important evidence for establishing intervention measures.

scholarly journals Correlation between the Montreal Cognitive Assessment-Indonesian Version (Moca-INA) and the Mini-Mental State Examination (MMSE) in Elderly

2017 ◽  
Vol 5 (7) ◽  
pp. 915-919 ◽  
Author(s):  
Aldy Safruddin Rambe ◽  
Fasihah Irfani Fitri
Keyword(s):  
Mental State ◽  
Cognitive Assessment ◽  
Mini Mental State Examination ◽  
Pearson Correlation ◽  
Montreal Cognitive Assessment ◽  
Elderly Subjects ◽  
Cognitive Screening ◽  
Cross Sectional ◽  
Significant Difference ◽  
State Examination

BACKGROUND: As the rapid growth of the elderly population and the increased prevalence of Alezheimer’s Disease and related disorders, there is an increasing need for effective cognitive screening. The Mini Mental State Examination (MMSE) is the most frequently used screening test of cognitive impairment because of its convenience. The Montreal Cognitive Assessment-Indonesian Version (MoCA-INA) has been validated and recently been used as a cognitive screening tool.OBJECTIVES: The aim of this study was to compare the MMSE and MoCA-INA scores and to determine the correlation between the MMSE and MoCA-INA scores in elderly.MATERIAL AND METHODS: This was a cross-sectional study including 83 elderly subjects from November 2016 until June 2017. We performed MMSE and MoCA-INA for assessment of cognitive function and the time between each test was at least 30 minutes.RESULTS: The study included 83 subjects which were consisted of 46 (55.4%) males and 37 (44.6%) females. The mean age was 69.19 ± 4.23 ranging from 65 to 79 years old. The average MMSE scores was 24.96 ± 3.38 (range 14 to 30). The average MoCA-INA scores was 21.06 ± 4.56 (range 5 to 30). The Pearson correlation coefficient between the scores was 0.71 (p<0.005). There were no significant differences of both scores based on history of hypertension, diabetes mellitus and previous stroke, but there was a significant difference in MMSE scores based on level of education.CONCLUSION: The MoCA-INA score showed a good correlation with the MMSE score. Both tests showed comparable results but MoCA-INA showed lower average with wider range of scores.

The mini-mental state examination and the montreal cognitive assessment after traumatic brain injury: An early predictive study

Brain Injury ◽  
2013 ◽  
Vol 27 (12) ◽  
pp. 1428-1434 ◽  
Author(s):  
Elaine de Guise ◽  
Joanne LeBlanc ◽  
Marie-Claude Champoux ◽  
Céline Couturier ◽  
Abdulrahman Yaqub Alturki ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Mental State ◽  
Cognitive Assessment ◽  
Mini Mental State Examination ◽  
Montreal Cognitive Assessment ◽  
State Examination ◽  
Predictive Study

Improving precision in the quantification of cognition using the Montreal Cognitive Assessment and the Mini-Mental State Examination

2011 ◽  
Vol 23 (7) ◽  
pp. 1107-1115 ◽  
Author(s):  
Lisa Koski ◽  
Haiqun Xie ◽  
Susanna Konsztowicz
Keyword(s):  
Cognitive Impairment ◽  
Cognitive Ability ◽  
Mental State ◽  
Cognitive Assessment ◽  
Mini Mental State Examination ◽  
Montreal Cognitive Assessment ◽  
Word Repetition ◽  
Highly Sensitive ◽  
Changes Over Time ◽  
State Examination

ABSTRACTBackground: The Montreal Cognitive Assessment (MoCA) can be used to quantify cognitive ability in older persons undergoing screening for cognitive impairment. Although highly sensitive in detecting mild cognitive impairment, its measurement precision is weakest among persons with milder forms of impairment. We sought to overcome this limitation by integrating information from the Mini-Mental State Examination (MMSE) into the calculation of cognitive ability.Methods: Data from 185 geriatric outpatients screened for cognitive impairment with the MoCA and the MMSE were Rasch analyzed to evaluate the extent to which the MMSE items improved measurement precision in the upper ability ranges of the population.Results: Adding information from the MMSE resulted in a 13.8% (13.3–14.3%) reduction in measurement error, with significant improvements in all quartiles of patient ability. The addition of three-word repetition and recall, copy pentagons, repeat sentence, and write sentence improved measurement of cognition in the upper levels of ability.Conclusions: The algorithm presented here maximizes the yield of available clinical data while improving measurement of cognitive ability, which is particularly important for tracking changes over time in patients with milder levels of impairment.

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