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Differentiation of cognitive deficit profiles in Multiple Sclerosis patients: latent profile analysis


Slavkovic, S and Lazic, M and Honan, C and Nad, C and Brkic-Jovanovic, N and Golubovic, S, Differentiation of cognitive deficit profiles in Multiple Sclerosis patients: latent profile analysis, Medical Principles and Practice, 28, (4) pp. 373-379. ISSN 1011-7571 (2019) [Refereed Article]


Copyright Statement

2019 The Author(s) Published by S. Karger AG, Basel. This is an Open Access article licensed under the Creative Commons Attribution-NonCommercial-4.0 International License (CC BY-NC) (, applicable to the online version of the article only. Usage and distribution for commercial purposes requires written permission.

DOI: doi:10.1159/000499312


Objective: The purpose of this study was to ascertain whether the application of the Audio Recorded Cognitive Screen (ARCS) in cognitive functioning screening of persons with multiple sclerosis (MS) differentiates profiles of existing cognitive deficits (CDs) and whether this instrument can discriminate accurately between subjects who are cognitively intact (CI) and those with a cognitive disorder.

Subjects and Methods: The research was conducted on a sample of 359 subjects, with two subsets of participants: 108 persons with a relapsing-remitting form of MS and 251 persons from the general population.

Results: We labeled the three profiles obtained by applying the ARCS questionnaire: the CI profile, the profile of CI with visuospatial difficulties, and the profile of persons with CD.

Conclusion: ARCS has the ability to differentiate persons with a CD from those without, both in a sample of persons suffering from MS and in a sample of persons from the general population. This finding indicates that this instrument is well suited for profiling the cognitive status into specific categories, which puts it among the instruments with a wide range of implementation.

Item Details

Item Type:Refereed Article
Keywords:multiple sclerosis, latent profile, work, cognitive ability, diagnostic, Multiple Sclerosis, prognosis
Research Division:Psychology
Research Group:Biological psychology
Research Field:Behavioural neuroscience
Objective Division:Health
Objective Group:Clinical health
Objective Field:Clinical health not elsewhere classified
UTAS Author:Honan, C (Dr Cynthia Honan)
ID Code:134374
Year Published:2019
Web of Science® Times Cited:2
Deposited By:Psychology
Deposited On:2019-08-09
Last Modified:2020-08-07
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