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Correlations between age, biomedical variables, and cognition in patients with schizophrenia
OBJECTIVE: To illustrate the influence of clinical variables on cognition performance in patients with schizophrenia (SCZ). METHODS: Using the 66nao Brain Training device (a novel measurement tool), the cognitive performance of 99 patients with SCZ was evaluated. Patients were diagnosed by the ICD-1...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7303996/ https://www.ncbi.nlm.nih.gov/pubmed/32577406 http://dx.doi.org/10.1016/j.scog.2020.100182 |
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author | Tang, Wei Fan, Kai-li Zhao, Shu-zhen Zhang, Yao-yao Li, Yan Shao, Sheng-min Wang, Zheng Ke, Jiang-qiong |
author_facet | Tang, Wei Fan, Kai-li Zhao, Shu-zhen Zhang, Yao-yao Li, Yan Shao, Sheng-min Wang, Zheng Ke, Jiang-qiong |
author_sort | Tang, Wei |
collection | PubMed |
description | OBJECTIVE: To illustrate the influence of clinical variables on cognition performance in patients with schizophrenia (SCZ). METHODS: Using the 66nao Brain Training device (a novel measurement tool), the cognitive performance of 99 patients with SCZ was evaluated. Patients were diagnosed by the ICD-10 diagnostic criteria for SCZ, and their age were 16–68 years old. Furthermore, we explored the relationship between age, biomedical variables and specific cognitive domains in patients with SCZ. Patients were divided into two groups: various of cognitive domains impairment group and non-impairment group according to the norm scores. All data were analyzed using RStudio Version 1.0.44 (RStudio, Inc.) RESULTS: Patients with SCZ had obvious cognitive impairment in total and five subdomains of cognitive function. We found that 1) SCZ patients with impaired cognitive total score experienced significant older age and longer illness duration compared with those with normal cognitive total score. 2) SCZ patients with impaired memory experienced significant older age compared with those with normal memory. 3) SCZ patients with impaired attention showed significant lower serum triglyceride (TG) level compared with those with normal attention. 4) SCZ patients with impaired flexibility performed significant longer illness duration compared with those with normal flexibility. 5) SCZ patients with impaired cognitive agility performed significant older age, longer duration, and higher systolic blood pressure (SBP) compared with those with normal cognitive agility. 6) The age, illness duration and SBP in patients with impaired time perception were marginally different from those of subjects with normal time perception. CONCLUSION: There are five dimensions (memory, attention, flexibility, cognitive agility, and time perception) of cognitive dysfunction in SCZ patients. Age, illness duration, TG, and SBP might play vital roles in various subdomains of the cognitive deficits respectively in patients with SCZ. |
format | Online Article Text |
id | pubmed-7303996 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-73039962020-06-22 Correlations between age, biomedical variables, and cognition in patients with schizophrenia Tang, Wei Fan, Kai-li Zhao, Shu-zhen Zhang, Yao-yao Li, Yan Shao, Sheng-min Wang, Zheng Ke, Jiang-qiong Schizophr Res Cogn Article OBJECTIVE: To illustrate the influence of clinical variables on cognition performance in patients with schizophrenia (SCZ). METHODS: Using the 66nao Brain Training device (a novel measurement tool), the cognitive performance of 99 patients with SCZ was evaluated. Patients were diagnosed by the ICD-10 diagnostic criteria for SCZ, and their age were 16–68 years old. Furthermore, we explored the relationship between age, biomedical variables and specific cognitive domains in patients with SCZ. Patients were divided into two groups: various of cognitive domains impairment group and non-impairment group according to the norm scores. All data were analyzed using RStudio Version 1.0.44 (RStudio, Inc.) RESULTS: Patients with SCZ had obvious cognitive impairment in total and five subdomains of cognitive function. We found that 1) SCZ patients with impaired cognitive total score experienced significant older age and longer illness duration compared with those with normal cognitive total score. 2) SCZ patients with impaired memory experienced significant older age compared with those with normal memory. 3) SCZ patients with impaired attention showed significant lower serum triglyceride (TG) level compared with those with normal attention. 4) SCZ patients with impaired flexibility performed significant longer illness duration compared with those with normal flexibility. 5) SCZ patients with impaired cognitive agility performed significant older age, longer duration, and higher systolic blood pressure (SBP) compared with those with normal cognitive agility. 6) The age, illness duration and SBP in patients with impaired time perception were marginally different from those of subjects with normal time perception. CONCLUSION: There are five dimensions (memory, attention, flexibility, cognitive agility, and time perception) of cognitive dysfunction in SCZ patients. Age, illness duration, TG, and SBP might play vital roles in various subdomains of the cognitive deficits respectively in patients with SCZ. Elsevier 2020-06-16 /pmc/articles/PMC7303996/ /pubmed/32577406 http://dx.doi.org/10.1016/j.scog.2020.100182 Text en © 2020 Published by Elsevier Inc. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Tang, Wei Fan, Kai-li Zhao, Shu-zhen Zhang, Yao-yao Li, Yan Shao, Sheng-min Wang, Zheng Ke, Jiang-qiong Correlations between age, biomedical variables, and cognition in patients with schizophrenia |
title | Correlations between age, biomedical variables, and cognition in patients with schizophrenia |
title_full | Correlations between age, biomedical variables, and cognition in patients with schizophrenia |
title_fullStr | Correlations between age, biomedical variables, and cognition in patients with schizophrenia |
title_full_unstemmed | Correlations between age, biomedical variables, and cognition in patients with schizophrenia |
title_short | Correlations between age, biomedical variables, and cognition in patients with schizophrenia |
title_sort | correlations between age, biomedical variables, and cognition in patients with schizophrenia |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7303996/ https://www.ncbi.nlm.nih.gov/pubmed/32577406 http://dx.doi.org/10.1016/j.scog.2020.100182 |
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