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Defining cognitive and functional profiles in schizophrenia and affective disorders
BACKGROUND: Neurocognitive dysfunction is a common symptom of various major psychiatric disorders, including schizophrenia, major depressive disorder (MDD), and bipolar I disorder (BD). In this study, we investigated whether cognitive profiles and daily skill functioning could effectively differenti...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6995055/ https://www.ncbi.nlm.nih.gov/pubmed/32005199 http://dx.doi.org/10.1186/s12888-020-2459-y |
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author | Huang, Yu-Chi Lee, Yu Lee, Chun-Yi Lin, Pao-Yen Hung, Chi-Fa Lee, Sheng-Yu Wang, Liang-Jen |
author_facet | Huang, Yu-Chi Lee, Yu Lee, Chun-Yi Lin, Pao-Yen Hung, Chi-Fa Lee, Sheng-Yu Wang, Liang-Jen |
author_sort | Huang, Yu-Chi |
collection | PubMed |
description | BACKGROUND: Neurocognitive dysfunction is a common symptom of various major psychiatric disorders, including schizophrenia, major depressive disorder (MDD), and bipolar I disorder (BD). In this study, we investigated whether cognitive profiles and daily skill functioning could effectively differentiate between patients with schizophrenia, MDD, and BD. METHOD: In this cross-sectional study, we recruited a total of 63 patients with schizophrenia, 55 patients with MDD, 43 patients with BD, and 92 healthy control subjects. We evaluated participants’ cognitive functions and functional capacity using the Brief Assessment of Cognition in Schizophrenia (BACS) and the UCSD Performance-based Skills Assessment, Brief Version (UPSA-B), respectively. Multivariate analysis of covariance was then adopted to determine inter-group differences in BACS and UPSA-B performance. RESULTS: The BACS was capable of differentiating patients with a major psychiatric disorder (schizophrenia, MDD, and BD) from healthy subjects. Furthermore, schizophrenia patients had poorer motor speed performance than patients with affective disorders. The UPSA-B, particularly the financial portion, was able to distinguish schizophrenia patients from other groups. However, we did not observe any differences in UPSA-B performance between patients with mood disorders and the healthy controls. No significant difference between patients with BD and those with MDD were observed in either cognitive function or in functional capacity. The performances of the BACS and the UPSA-B were positively correlated, particularly in the MDD group. CONCLUSION: Considering overall performance, the BACS and the UPSA-B characterize different endophenotyping profiles in the aforementioned four participant groups. Therefore, the results support the need for comprehensive assessments that target both cognitive function and functional capacity for patients with major psychiatric disorders. |
format | Online Article Text |
id | pubmed-6995055 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-69950552020-02-04 Defining cognitive and functional profiles in schizophrenia and affective disorders Huang, Yu-Chi Lee, Yu Lee, Chun-Yi Lin, Pao-Yen Hung, Chi-Fa Lee, Sheng-Yu Wang, Liang-Jen BMC Psychiatry Research Article BACKGROUND: Neurocognitive dysfunction is a common symptom of various major psychiatric disorders, including schizophrenia, major depressive disorder (MDD), and bipolar I disorder (BD). In this study, we investigated whether cognitive profiles and daily skill functioning could effectively differentiate between patients with schizophrenia, MDD, and BD. METHOD: In this cross-sectional study, we recruited a total of 63 patients with schizophrenia, 55 patients with MDD, 43 patients with BD, and 92 healthy control subjects. We evaluated participants’ cognitive functions and functional capacity using the Brief Assessment of Cognition in Schizophrenia (BACS) and the UCSD Performance-based Skills Assessment, Brief Version (UPSA-B), respectively. Multivariate analysis of covariance was then adopted to determine inter-group differences in BACS and UPSA-B performance. RESULTS: The BACS was capable of differentiating patients with a major psychiatric disorder (schizophrenia, MDD, and BD) from healthy subjects. Furthermore, schizophrenia patients had poorer motor speed performance than patients with affective disorders. The UPSA-B, particularly the financial portion, was able to distinguish schizophrenia patients from other groups. However, we did not observe any differences in UPSA-B performance between patients with mood disorders and the healthy controls. No significant difference between patients with BD and those with MDD were observed in either cognitive function or in functional capacity. The performances of the BACS and the UPSA-B were positively correlated, particularly in the MDD group. CONCLUSION: Considering overall performance, the BACS and the UPSA-B characterize different endophenotyping profiles in the aforementioned four participant groups. Therefore, the results support the need for comprehensive assessments that target both cognitive function and functional capacity for patients with major psychiatric disorders. BioMed Central 2020-01-31 /pmc/articles/PMC6995055/ /pubmed/32005199 http://dx.doi.org/10.1186/s12888-020-2459-y Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Huang, Yu-Chi Lee, Yu Lee, Chun-Yi Lin, Pao-Yen Hung, Chi-Fa Lee, Sheng-Yu Wang, Liang-Jen Defining cognitive and functional profiles in schizophrenia and affective disorders |
title | Defining cognitive and functional profiles in schizophrenia and affective disorders |
title_full | Defining cognitive and functional profiles in schizophrenia and affective disorders |
title_fullStr | Defining cognitive and functional profiles in schizophrenia and affective disorders |
title_full_unstemmed | Defining cognitive and functional profiles in schizophrenia and affective disorders |
title_short | Defining cognitive and functional profiles in schizophrenia and affective disorders |
title_sort | defining cognitive and functional profiles in schizophrenia and affective disorders |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6995055/ https://www.ncbi.nlm.nih.gov/pubmed/32005199 http://dx.doi.org/10.1186/s12888-020-2459-y |
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