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

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.

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0254055
Author(s):  
Hwabeen Yang ◽  
Daehyuk Yim ◽  
Moon Ho Park

Objective The Montreal Cognitive Assessment (MoCA) and Mini-Mental State Examination-2 (MMSE-2) are useful psychometric tests for cognitive screening. Many clinicians want to predict the MMSE-2 score based on the MoCA score. To facilitate the transition from the MoCA to the MMSE-2, this study developed a conversion method. Methods This study retrospectively examined the relationship between the MoCA and MMSE-2. Overall, 303 participants were evaluated. We produced a conversion table using the equipercentile equating method with log-linear smoothing. Then, we evaluated the reliability and accuracy of this algorithm to convert the MoCA to the MMSE-2. Results MoCA scores were converted to MMSE-2 scores according to a conversion table that achieved a reliability of 0.961 (intraclass correlation). The accuracy of this algorithm was 84.5% within 3 points difference from the raw score. Conclusions This study reports a reliable and easy conversion algorithm for transforming MoCA scores into converted MMSE-2 scores. This method will greatly enhance the utility of existing cognitive data in clinical and research settings.


2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
Kaycee M. Sink ◽  
Suzanne Craft ◽  
S. Carrie Smith ◽  
Joseph A. Maldjian ◽  
Donald W. Bowden ◽  
...  

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.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiaofang Jia ◽  
Zhihong Wang ◽  
Feifei Huang ◽  
Chang Su ◽  
Wenwen Du ◽  
...  

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.


2018 ◽  
Vol 59 (6) ◽  
pp. e743-e763 ◽  
Author(s):  
Glória S A Siqueira ◽  
Paula de M S Hagemann ◽  
Daniela de S Coelho ◽  
Flávia Heloísa Dos Santos ◽  
Paulo H F Bertolucci

Abstract Background and Objectives Cognitive disorders may be an early sign of neuropsychiatric disorders; however, it remains unclear whether the screening measures are interchangeable. The aim of this study was to contrast the most commonly used screening tools—Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA)—for early detection of neurocognitive disorder (NCD). Research Design and Methods This study presents a descriptive systematic review and informative literature according to the Cochrane Foundation’s guidelines. The keywords “Mini-Mental State Examination” and “Montreal Cognitive Assessment” were searched in the Web of Science, SciELO, and LILACS databases. Results Fifty-one studies were selected including a total sample of 11,870 participants (8,360 clinical patients and 3,510 healthy controls). Most studies were published in the past 5 years using a cross-sectional design, carried out across the world. They were organized by age ranges (18–69 years and 20–89 years), years of schooling, and mental status (with and without mental and behavior disorders). Sixteen of 18 studies had participants aged 18–69 years, and 21 out of 33 studies within the older set suggested that the MoCA is a more sensitive tool for detecting NCD. Discussion and Implications Thirty-seven studies suggested that the MoCA is a more sensitive tool for NCD detection because it assesses executive function and visuospatial abilities. Some individuals who demonstrated normal cognitive function on the MMSE had lower performance on the MoCA. However, it seems necessary to establish different cutoffs based on years of schooling to avoid false positives. Future studies should contrast MoCA with other screening tools designed for NCD assessment.


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