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

Cognitive screening Mild cognitive impairment Montreal cognitive assessment Psychometric properties

Journal

Dementia and geriatric cognitive disorders extra
ISSN: 1664-5464
Titre abrégé: Dement Geriatr Cogn Dis Extra
Pays: Switzerland
ID NLM: 101564825

Informations de publication

Date de publication:
Historique:
received: 21 01 2021
accepted: 22 01 2021
entrez: 12 5 2021
pubmed: 13 5 2021
medline: 13 5 2021
Statut: epublish

Résumé

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). 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. 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. 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.

Identifiants

pubmed: 33976692
doi: 10.1159/000514673
pii: dee-0011-0051
pmc: PMC8077519
doi:

Types de publication

Journal Article

Langues

eng

Pagination

51-57

Informations de copyright

Copyright © 2021 by S. Karger AG, Basel.

Déclaration de conflit d'intérêts

The authors declare no potential conflict of interests.

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Auteurs

Vahid Rashedi (V)

School of Behavioral Sciences and Mental Health (Tehran Institute of Psychiatry), Iran University of Medical Sciences, Tehran, Iran.
Iranian Research Center on Aging, The University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.

Mahshid Foroughan (M)

Iranian Research Center on Aging, The University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.

Negin Chehrehnegar (N)

Linnaeus Centre HEAD, Swedish Institute for Disability Research, Department of Behavioural Sciences and Learning, Linköping University, Linköping, Sweden.

Classifications MeSH