The use of the Montreal Cognitive Assessment (MoCA) to assess cognitive impairment in Prader-Willi syndrome

2020 ◽  
Vol 14 (6) ◽  
pp. 273-285
Author(s):  
Johann Chevalère ◽  
Virginie Laurier ◽  
Maite Tauber ◽  
Anna-Malika Camblats ◽  
Denise Thuilleaux ◽  
...  
Keyword(s):  
Psychometric Properties ◽  
Cognitive Assessment ◽  
Healthy Adults ◽  
Montreal Cognitive Assessment ◽  
Prader Willi Syndrome ◽  
Cognitive Profiles ◽  
Current Version ◽  
Content Type ◽  
Normative Population ◽  
Normal Performance

Purpose When a comprehensive neuropsychological assessment cannot be carried out, a quick and discriminant tool of good psychometric properties can be useful to practitioners. The purpose of this paper is to examine the use of the Montreal Cognitive Assessment (MoCA) in patients with Prader–Willi syndrome (PWS) and to test its reliability for cognitive assessment in a population with intellectual disabilities. Design/methodology/approach Thirty-seven adults with PWS took the MoCA. Reliability of the battery was tested using Cronbach’s alphas. The performance of PWS adults in each subtest was then compared to that of a normative population of healthy adults. Findings The MoCA was found to be unreliable in PWS. The subtests analyses indicated that the PWS sample underperformed the normative population of healthy adults on most subtests of the MoCA. A sub-sample aged between 17and 29 years showed normal performance on Naming and Memory, and a sub-sample aged from 30 to 39 years showed similar performance on Language, Memory and Orientation relative to age-matched normative healthy adults. Research limitations/implications Results showed that the current version of the MoCA, if taken as a whole test for cognitive assessment, does not present with adequate psychometric properties, which the authors interpret as reflecting the heterogeneity in PWS cognitive profiles. If used in PWS, the MoCA may however be useful in examining cognitive functions separately using subtest-based comparisons to normative data. Originality/value This research contributes to a better assessment of cognitive profile in PWS and people with learning disabilities by arguing that the use of psychometric tests should depend more on the specificity of the population under evaluation.

scholarly journals Psychometric Properties of the Persian Montreal Cognitive Assessment in Mild Cognitive Impairment and Alzheimer Disease

2021 ◽  
pp. 51-57
Author(s):  
Vahid Rashedi ◽  
Mahshid Foroughan ◽  
Negin Chehrehnegar
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Alzheimer Disease ◽  
Psychometric Properties ◽  
Cognitive Assessment ◽  
Screening Test ◽  
Cognitive Status ◽  
Montreal Cognitive Assessment ◽  
Cutoff Score ◽  
Persian Version

Introduction: The Montreal Cognitive Assessment (MoCA) is a cognitive screening test widely used in clinical practice and suited for the detection of Mild Cognitive Impairment (MCI). The aims were to evaluate the psychometric properties of the Persian MoCA as a screening test for mild cognitive dysfunction in Iranian older adults and to assess its accuracy as a screening test for MCI and mild Alzheimer disease (AD). Method: One hundred twenty elderly with a mean age of 73.52 ± 7.46 years participated in this study. Twenty-one subjects had mild AD (MMSE score ≤21), 40 had MCI, and 59 were cognitively healthy controls. All the participants were administered the Mini-Mental State Examination (MMSE) to evaluate their general cognitive status. Also, a battery of comprehensive neuropsychological assessments was administered. Results: The mean score on the Persian version of the MoCA and the MMSE were 19.32 and 25.62 for MCI and 13.71 and 22.14 for AD patients, respectively. Using an optimal cutoff score of 22 the MoCA test detected 86% of MCI subjects, whereas the MMSE with a cutoff score of 26 detected 72% of MCI subjects. In AD patients with a cutoff score of 20, the MoCA had a sensitivity of 94% whereas the MMSE detected 61%. The specificity of the MoCA was 70% and 90% for MCI and AD, respectively. Discussion: The results of this study show that the Persian version of the MoCA is a reliable screening tool for detection of MCI and early stage AD. The MoCA is more sensitive than the MMSE in screening for cognitive impairment, proving it to be superior to MMSE in detecting MCI and mild AD.

The Metacognitive Component of Academic Self-Concept: The Development of a Triarchic Self-Scale

2010 ◽  
Vol 9 (1) ◽  
pp. 73-86 ◽  
Author(s):  
Samuel D. Mandelman ◽  
Mei Tan ◽  
Sergey A. Kornilov ◽  
Robert J. Sternberg ◽  
Elena L. Grigorenko
Keyword(s):  
Academic Achievement ◽  
Psychometric Properties ◽  
Cognitive Assessment ◽  
Self Concept ◽  
Q Factor ◽  
Cognitive Profiles ◽  
Factor Analyses ◽  
Additional Source ◽  
Successful Intelligence ◽  
Source Of Information

Self-concept—more specifically academic self-concept—and its connection to academic achievement have long been studied. It has been widely accepted that one’s self-concept is formed through interaction with one’s environment and significant others. Here we suggest that an internal metacognitive component of self-concept is also critical to its development. This hypothesis is investigated here by the development of a metacognitive-academic self-concept scale as part of a larger battery based on Sternberg’s triarchic model of successful intelligence. The academic self-concept scale’s psychometric properties, with respect to both children and adults, and its correlations with a group-administered cognitive assessment are presented. Additionally, a series of Q-factor analyses of the results on the scale are provided, revealing multiple distinguishable academic self-concept profiles. Collectively, these data suggest that a self-concept scale regarding one’s abilities can provide an additional source of information for the cognitive profiles of students.

scholarly journals Construct Validity and Psychometric Properties of the Tamil (India) Version of Montreal Cognitive Assessment (T-MoCA) in Elderly

2021 ◽  
Author(s):  
M Abdulkarim ◽  
J Venkatachalam
Keyword(s):  
Construct Validity ◽  
Psychometric Properties ◽  
Internal Consistency ◽  
Cognitive Assessment ◽  
Rating Scale ◽  
Area Under The Curve ◽  
Montreal Cognitive Assessment ◽  
Clinical Dementia Rating ◽  
Sensitivity Specificity ◽  
Test Retest Reliability

Background: The Montreal Cognitive Assessment (MoCA) is a neuropsychological cognitive tool developed and adapted widely in various languages for screening mild cognitive impairment (MCI). Objectives: The present study aimed to evaluate the psychometric properties of the Tamil (India) Version of MoCA (T-MoCA) and further examine the construct validity of the tool.Method: The authors conducted internal consistency, test-retest, sensitivity-specificity, and construct validity using 233 Tamil-speaking elderly participants. The inclusion criteria of the study participants were 0.5 or less than 0.5 scores in the Clinical Dementia Rating scale (CDR). Further, T-MoCA was used to screen MCI. Results: The result showed that the T-MoCA had high internal consistency (0.83) and high test-retest reliability (0.92). Receiver operating characteristic (ROC) analyses showed an area under the curve (AUC) of 0.91 (95% CI 0.87-0.94) for detecting MCI. Furthermore, the optimal cut-off score to detect MCI was 24, accommodated a sensitivity and specificity of 88.4% and 77.9%, respectively. Conclusions: The Tamil (India) version of the MoCA maintained its core diagnostic properties, furnishing it a valid and reliable tool for the screening of MCI. Also, its latent dimensions help to understand the elders’ cognitive function in a better way.

scholarly journals Psychometric properties of the Montreal Cognitive Assessment (MoCA) in healthy participants aged 18–70

2020 ◽  
Vol 24 (3) ◽  
pp. 293-300 ◽  
Author(s):  
Carolien J. W. H. Bruijnen ◽  
Boukje A. G. Dijkstra ◽  
Serge J. W. Walvoort ◽  
Manon J. J. Budy ◽  
Harmen Beurmanjer ◽  
...  
Keyword(s):  
Psychometric Properties ◽  
Cognitive Assessment ◽  
Montreal Cognitive Assessment ◽  
Healthy Participants

Screening for cognitive impairment in systemic lupus erythematosus: Application of the Montreal Cognitive Assessment (MoCA) in a Greek patient sample

Lupus ◽  
2021 ◽  
pp. 096120332110610
Author(s):  
Emmanouil Papastefanakis ◽  
Georgia Dimitraki ◽  
Georgia Ktistaki ◽  
Antonis Fanouriakis ◽  
Penny Karamaouna ◽  
...  
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Cognitive Impairment ◽  
Lupus Erythematosus ◽  
Cognitive Assessment ◽  
Verbal Learning ◽  
Population Data ◽  
Screening Tools ◽  
Montreal Cognitive Assessment ◽  
Systemic Lupus ◽  
Normative Population

Background Cognitive impairment (CI) is one of the most frequent neuropsychiatric manifestations of systemic lupus erythematosus (SLE). Given that extensive neuropsychological testing is not always feasible in routine clinical practice, brief cognitive screening tools are desirable. The aim of this study was to evaluate the Montreal Cognitive Assessment (MoCA) as a screening tool for CI in SLE. Methods Consecutive SLE patients followed at a single centre were evaluated using MoCA and an extensive neuropsychological test battery (NPT), including the Digits Forward and Digits Backwards, Rey Auditory Verbal Learning Memory Test, Trail Making Test, Stroop Colour-Word Test, Semantic and Phonetic Verbal Fluency tests and a 25-problem version of the General Adult Mental Ability test. The criterion validity of MoCA was assessed through receiver operating characteristic (ROC) analyses using three different case definitions: i) against normative population data, ii) and iii) against average performance of a comparison group of rheumatoid arthritis (RA) patients, to adjust for possible confounding effects of chronic illness and inflammatory processes on cognitive performance. The effect of patient-related (age, years of education, anxiety, depression, fatigue and pain) and disease-related (activity, damage, age at diagnosis, disease duration, use of glucocorticoid, psychotropic and pain medication) parameters on the MoCA was examined. Results A total of 71 SLE patients were evaluated. MoCA significantly correlated with all NPT scores and was affected by education level ( p < 0.001), but not by other demographic or clinical variables. The optimal cutoff for detecting CI, as defined on the basis of normative population data, was 23/30 points, demonstrating 73% sensitivity and 75% specificity. A cutoff of 22/30 points, using neuropsychological profiles of the RA group as inflammatory disease controls, exhibited higher sensitivity (100%, based on both definitions) and specificity (87% and 90%, depending on the definition). The standard cutoff of 26/30 points displayed excellent sensitivity (91–100%) with significant expenses in specificity (43–45%). Conclusion The MoCA is an easily applied tool, which appears to be reliable for identifying CI in SLE patients. The standard cutoff score (26/30) ensures excellent sensitivity while lower cutoff scores (22–23/30) may, also, provide higher specificity.

scholarly journals A-021 Normative Data on Montreal Cognitive Assessment Total Scores in Healthy Controls

2020 ◽  
Vol 35 (6) ◽  
pp. 811-811
Author(s):  
Ratcliffe L ◽  
Marker C
Keyword(s):  
Cognitive Assessment ◽  
Normative Data ◽  
Screening Tool ◽  
Geographical Location ◽  
Healthy Adults ◽  
Montreal Cognitive Assessment ◽  
Healthy Controls ◽  
Strongly Correlated ◽  
Cognitive Screening ◽  
Cutoff Scores

Abstract The Montreal Cognitive Assessment (MoCA) is considered to be a suitable, sensitive, and specific cognitive screening tool for detecting mild cognitive impairment. Research has reported variable cutoff scores for the MoCA based upon geographical location. The aim of the present study is to provide normative data in a sample of cognitively healthy adults. Data was collected through the National Alzheimer’s Coordinating Center (NACC). A population of healthy adults (N = 3610) was examined (66% female, 78% Caucasian, 16% African American, 6% Other). MoCA normative data were derived from age and education, which were found to be weakly but significantly associated with age (r = −.203, p = .000) and more strongly correlated with education (r = .402, p = .000). Total scores (M = 26.25, SD = 2.75) were at the suggested cutoff for impairment (&lt; 26). Based on an ANOVA, age had a significant effect on MoCA scores (F (6, 3603) = 25.30, p &lt; .001). A second ANOVA revealed that education also had a significant effect on MoCA scores (F (2, 3582) = 290.56, p &lt; .001). Individuals with higher levels of education obtained higher MoCA scores. Performance was also found to decrease slightly with age. Therefore, clinicians should use caution when applying the recommended cutoff scores.

scholarly journals The Psychometric Properties of the Montreal Cognitive Assessment (MoCA)

2020 ◽  
Vol 79 (3-4) ◽  
pp. 155-161
Author(s):  
Giovanni Sala ◽  
Hiroki Inagaki ◽  
Yoshiko Ishioka ◽  
Yukie Masui ◽  
Takeshi Nakagawa ◽  
...  
Keyword(s):  
Older Adults ◽  
Psychometric Properties ◽  
Measurement Invariance ◽  
Cognitive Assessment ◽  
Economic Status ◽  
Montreal Cognitive Assessment ◽  
General Factor ◽  
Factorial Structure ◽  
Global Cognition ◽  
Japanese Older Adults

Abstract. The Montreal Cognitive Assessment (MoCA) is a test assessing global cognition in older adults which is often used by researchers and clinicians worldwide, although some of its psychometric properties have yet to be established. We focus on three fundamental aspects: the factorial structure of the MoCA, its general factor saturation, and the measurement invariance of the test. We administered the MoCA to a large sample of Japanese older adults clustered in three cohorts (69–71-year-olds, 79–81-year-olds, and 89–91-year-olds; N = 2,408). Our results show that the test has an overall stable hierarchical factorial structure with a general factor at its apex and satisfactory general-factor saturation. We also found measurement invariance across participants of different ages, educational levels, economic status, and sex. This comprehensive investigation thus supports the idea that the MoCA is a valid tool to assess global cognition in older adults of different socioeconomic status and age ranges.

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