![]() According to regression, belonging to psychiatric or NCD groups, respectively, was significantly predicted by age and years of education, rather than total MoCA scores, indicating poor discriminant validity of the MoCA. Cronbach’s alpha was 0.64 revealing moderate internal consistency of the MoCA Total MoCA scores were significantly correlated with years of education (p<0.001) and age (p=0.007) but not gender. Secondary data from 70 patients with human immunodeficiency virus (HIV) and comorbid psychiatric disorder, 13 patients with HIV and comorbid neurocognitive disorder (NCD), and 89 unaffected controls were compared. Purpose: The content area assessments are exit assessments that must be completed by the candidate in all areas of certification. Methods Data were analyzed from 496 Memory Clinic outpatients (447 individuals with a neurocognitive disorder 49 with cognitive normal findings. We aim to revise the cut-off on the German MoCA for its use in clinical routine. All participants completed the English MoCA version 8.1. Background The Montreal Cognitive Assessment (MoCA) has good sensitivity for mild cognitive impairment, but specificity is low when the original cut-off (25/26) is used. This study aimed to explore the influence of demographic variables (age, years of education and gender) on total MoCA score, calculate the psychometric properties (internal consistency and discriminant validity) of the MoCA, and provide normative data for a well-defined sample of South African adults (≥21 years) who are English second- or third-language speakers and who attained public education. Moreover, depressive symptoms may influence cognitive performance and, in fact, have been shown to decrease MoCA performance 18, 19. Valid, brief, and easily administered cognitive screening and diagnostic tests, such as the Montreal Cognitive Assessment (MoCA), can be of significant benefit in resource limited settings such as South Africa. For example, test scores are corrected for education, but not for age and sex, although all of these variables have been demonstrated to have an impact on test performance 14,15,16,17. ![]()
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