Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/105711
Title: | Montreal cognitive assessment as a screening instrument for cognitive impairments in schizophrenia | Authors: | Yang, Zixu Quek, Yue Feng Lam, Max See, Yuen Mei Maniam, Yogeswary Dauwels, Justin Tan, Bhing Leet Lee, Jimmy Nur Amirah Abdul Rashid |
Keywords: | Engineering::Electrical and electronic engineering Schizophrenia Cognition |
Issue Date: | 2018 | Source: | Yang, Z., Nur Amirah Abdul Rashid, Quek, Y. F., Lam, M., See, Y. M., Maniam, Y., . . . Lee, J. (2018). Montreal cognitive assessment as a screening instrument for cognitive impairments in schizophrenia. Schizophrenia Research, 199, 58-63. doi:10.1016/j.schres.2018.03.008 | Series/Report no.: | Schizophrenia Research | Abstract: | Background: Cognitive impairment is one of the core features of schizophrenia. For its evaluation, current clinical practice relies on detailed neuropsychological batteries which require trained testers and considerable amount of time to administer. Therefore, a brief and reliable screening tool for identification of overall cognitive impairment prior to a detailed comprehensive neurocognitive assessment is needed in a busy clinical setting. This study evaluates the clinical utility of the Montreal Cognitive Assessment (MoCA) in detecting cognitive impairments in schizophrenia and its relationship with functional outcome and demographic characters. Methods: The MoCA, the Brief Assessment of Cognition in Schizophrenia (BACS), and the Brief UCSD Performance-based Skills Assessment (UPSA-B) were administered to 64 patients with schizophrenia. Mild and severe cognitive impairments were defined as BACS Z-score (calculated with the age and gender adjustments using previously published local norm data) of one or two standard deviations below the mean, respectively. Results: The results showed that the MoCA was significantly correlated with BACS (r = .61, p < .001) and sensitive to detect both mild (AUC = 0.82, p < .001) and severe (AUC = 0.81, p < .001) cognitive impairments in schizophrenia. The MoCA was significantly correlated with UPSA-B score (r = .51, p < .001), and accounted for significant additional variance in UPSA-B score beyond the BACS. Conclusion: These findings indicate that MoCA is a useful bedside cognitive screening instrument for people with schizophrenia. | URI: | https://hdl.handle.net/10356/105711 http://hdl.handle.net/10220/49550 |
ISSN: | 0920-9964 | DOI: | 10.1016/j.schres.2018.03.008 | Schools: | School of Electrical and Electronic Engineering Lee Kong Chian School of Medicine (LKCMedicine) |
Rights: | © 2018 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Journal Articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Montreal cognitive assessment as a screening instrument for cognitive impairments in schizophrenia.pdf | 700.63 kB | Adobe PDF | View/Open |
SCOPUSTM
Citations
10
32
Updated on Mar 23, 2024
Web of ScienceTM
Citations
10
28
Updated on Oct 28, 2023
Page view(s) 50
466
Updated on Mar 28, 2024
Download(s) 10
348
Updated on Mar 28, 2024
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.