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Relationship of Working Memory, Processing Speed, and Fluid Reasoning in Psychiatric Patients

OBJECTIVE: The present study aimed to investigate relationship among cognitive factors (working memory and processing speed) and fluid reasoning (Gf) in psychiatric patients using a standardized clinical tool. METHODS: We included the responses of 115 heterogeneous patients who were diagnosed with t...

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Autores principales: Kim, Se-Jin, Park, Eun Hee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Neuropsychiatric Association 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6318484/
https://www.ncbi.nlm.nih.gov/pubmed/30466206
http://dx.doi.org/10.30773/pi.2018.10.10.2
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author Kim, Se-Jin
Park, Eun Hee
author_facet Kim, Se-Jin
Park, Eun Hee
author_sort Kim, Se-Jin
collection PubMed
description OBJECTIVE: The present study aimed to investigate relationship among cognitive factors (working memory and processing speed) and fluid reasoning (Gf) in psychiatric patients using a standardized clinical tool. METHODS: We included the responses of 115 heterogeneous patients who were diagnosed with the MINI-Plus 5.0 and WAIS-IV/WMS-IV was administered. For our analysis, structured equation modeling (SEM) was conducted to evaluate which cognitive variables are closely related to the Gf. RESULTS: The results showed that the visual working memory was the strongest predictor of the Gf compared to other cognitive factors. CONCLUSION: Processing speed was capable of predicting the Gf, when visual working memory was controlled. The inter-relationship among the Gf and other cognitive factors and its clinical implications were further discussed.
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spelling pubmed-63184842019-01-11 Relationship of Working Memory, Processing Speed, and Fluid Reasoning in Psychiatric Patients Kim, Se-Jin Park, Eun Hee Psychiatry Investig Original Article OBJECTIVE: The present study aimed to investigate relationship among cognitive factors (working memory and processing speed) and fluid reasoning (Gf) in psychiatric patients using a standardized clinical tool. METHODS: We included the responses of 115 heterogeneous patients who were diagnosed with the MINI-Plus 5.0 and WAIS-IV/WMS-IV was administered. For our analysis, structured equation modeling (SEM) was conducted to evaluate which cognitive variables are closely related to the Gf. RESULTS: The results showed that the visual working memory was the strongest predictor of the Gf compared to other cognitive factors. CONCLUSION: Processing speed was capable of predicting the Gf, when visual working memory was controlled. The inter-relationship among the Gf and other cognitive factors and its clinical implications were further discussed. Korean Neuropsychiatric Association 2018-12 2018-11-26 /pmc/articles/PMC6318484/ /pubmed/30466206 http://dx.doi.org/10.30773/pi.2018.10.10.2 Text en Copyright © 2018 Korean Neuropsychiatric Association This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Kim, Se-Jin
Park, Eun Hee
Relationship of Working Memory, Processing Speed, and Fluid Reasoning in Psychiatric Patients
title Relationship of Working Memory, Processing Speed, and Fluid Reasoning in Psychiatric Patients
title_full Relationship of Working Memory, Processing Speed, and Fluid Reasoning in Psychiatric Patients
title_fullStr Relationship of Working Memory, Processing Speed, and Fluid Reasoning in Psychiatric Patients
title_full_unstemmed Relationship of Working Memory, Processing Speed, and Fluid Reasoning in Psychiatric Patients
title_short Relationship of Working Memory, Processing Speed, and Fluid Reasoning in Psychiatric Patients
title_sort relationship of working memory, processing speed, and fluid reasoning in psychiatric patients
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6318484/
https://www.ncbi.nlm.nih.gov/pubmed/30466206
http://dx.doi.org/10.30773/pi.2018.10.10.2
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