![]() ![]() ![]() 3, 18 Additionally, the majority of previous studies originated from English. Conclusion: The MoCA's ability to discriminate MCI from NC was modest in this Chinese population, because it was far more sensitive to the effect of education than MCI diagnosis. In order to promote the MoCA in clinical practice as a brief cognitive screening test in different domains and to facilitate interpretation of results, several authors recommend translating the full range of MoCA and MMSE scores in the future to make them comparable. In multivariate analyses controlling for age and gender, MCI diagnosis was associated with a <1-point decrement in MoCA score (η 2 = 0.010), but lower (1-6 years) and no education was associated with a 3- to 5-point decrement (η 2 = 0.115 and η 2 = 0.162, respectively). Overall, the MoCA's test performance was not better than that of the MMSE. The MoCA's test performance was least satisfactory in the highest (>6 years) education group: AUC = 0.50 (p = 0.98), Sn = 0.54, and Sp = 0.51 at a cut-off of 27/28. Aim The aim of this study is to characterize the trajectory of MoCA performance across a broad age continuum of older adults. To date, only a handful of studies have explored longitudinal characteristics of the MoCA. Results: The MoCA modestly discriminated MCI from NC in both study samples (AUC = 0.63 and 0.65): Sn = 0.64 and Sp = 0.36 at a cut-off of 28/29 in the clinic-based sample, and Sn = 0.65 and Sp = 0.55 at a cut-off of 22/23 in the community-based sample. Background The Montreal cognitive assessment (MoCA) has become one of the most widely used cognitive screening instruments since its initial publication. In study 1, the sensitivity to detect cognitive impairment increased from 62.5 to 92, while. Method: The MoCA and Mini-Mental State Examination (MMSE) were evaluated in two independent studies (clinic-based sample and community-based sample) of MCI and normal cognition (NC) controls, using receiver operating characteristic curve analyses: area under the curve (AUC), sensitivity (Sn), and specificity (Sp). Diagnostic accuracy increased with the new MoCA scoring algorithm. We evaluated the MoCA's test performance by educational groups among older Singaporean Chinese adults. Background: The Montreal Cognitive Assessment (MoCA) was developed as a screening instrument for mild cognitive impairment (MCI). ![]()
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