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Analysis of sociodemographic, clinical, and lifestyle factors associated with cognitive aging

INTRODUCTION: Cognitive aging is defined as the cognitive decline during the aging process. Most cognitive skills deteriorate in old age; however, there are individual differences in the speed of the decline and severity of neuropsychological deficits. OBJECTIVES: The aim of the study was to delinea...

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Autores principales: Suwalska, A., Pałys, W., Łojko, D., Suwalska, J., Tobis, S., Kasierska, M., Wieczorowska-Tobis, K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10596660/
http://dx.doi.org/10.1192/j.eurpsy.2023.415
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author Suwalska, A.
Pałys, W.
Łojko, D.
Suwalska, J.
Tobis, S.
Kasierska, M.
Wieczorowska-Tobis, K.
author_facet Suwalska, A.
Pałys, W.
Łojko, D.
Suwalska, J.
Tobis, S.
Kasierska, M.
Wieczorowska-Tobis, K.
author_sort Suwalska, A.
collection PubMed
description INTRODUCTION: Cognitive aging is defined as the cognitive decline during the aging process. Most cognitive skills deteriorate in old age; however, there are individual differences in the speed of the decline and severity of neuropsychological deficits. OBJECTIVES: The aim of the study was to delineate the associations of sociodemographic, clinical, and lifestyle factors with cognitive aging. METHODS: 302 participants aged 60 years and above (mean age 69,6±7,2; range 60-92 years) were included in the study. Women were 69.9% of the group (N = 211). Subjects completed the questionnaire (sociodemographic and anthropometric data, chronic diseases), and depression intensity was assessed by Beck Depression Inventory (BDI). Cognitive functions were evaluated using MiniMental State Examination, Trail Making Test, Stroop test, and selected tests from CANTAB battery (Pattern Recognition Memory, Spatial Recognition Memory, Spatial Span, Spatial Working Memory). RESULTS: Age influenced most of the studied cognitive functions. Higher education level and more frequent cognitive activities (e.g. reading and crosswords) had a protective effect on the performance of tests assessing working memory and executive functions. Working memory and attention assessed in the Stroop test in part B were most sensitive to the negative impact of age, lower education level, and lower frequency of cognitive activity. Higher body mass index (BMI≥28) and diabetes were associated with worse spatial working memory. CONCLUSIONS: The results suggesting the association between lifestyle factors – cognitive activity and cognitive functions can contribute to the development of interventions aimed at the preservation of cognitive functions in older age. DISCLOSURE OF INTEREST: None Declared
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spelling pubmed-105966602023-10-25 Analysis of sociodemographic, clinical, and lifestyle factors associated with cognitive aging Suwalska, A. Pałys, W. Łojko, D. Suwalska, J. Tobis, S. Kasierska, M. Wieczorowska-Tobis, K. Eur Psychiatry Abstract INTRODUCTION: Cognitive aging is defined as the cognitive decline during the aging process. Most cognitive skills deteriorate in old age; however, there are individual differences in the speed of the decline and severity of neuropsychological deficits. OBJECTIVES: The aim of the study was to delineate the associations of sociodemographic, clinical, and lifestyle factors with cognitive aging. METHODS: 302 participants aged 60 years and above (mean age 69,6±7,2; range 60-92 years) were included in the study. Women were 69.9% of the group (N = 211). Subjects completed the questionnaire (sociodemographic and anthropometric data, chronic diseases), and depression intensity was assessed by Beck Depression Inventory (BDI). Cognitive functions were evaluated using MiniMental State Examination, Trail Making Test, Stroop test, and selected tests from CANTAB battery (Pattern Recognition Memory, Spatial Recognition Memory, Spatial Span, Spatial Working Memory). RESULTS: Age influenced most of the studied cognitive functions. Higher education level and more frequent cognitive activities (e.g. reading and crosswords) had a protective effect on the performance of tests assessing working memory and executive functions. Working memory and attention assessed in the Stroop test in part B were most sensitive to the negative impact of age, lower education level, and lower frequency of cognitive activity. Higher body mass index (BMI≥28) and diabetes were associated with worse spatial working memory. CONCLUSIONS: The results suggesting the association between lifestyle factors – cognitive activity and cognitive functions can contribute to the development of interventions aimed at the preservation of cognitive functions in older age. DISCLOSURE OF INTEREST: None Declared Cambridge University Press 2023-07-19 /pmc/articles/PMC10596660/ http://dx.doi.org/10.1192/j.eurpsy.2023.415 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstract
Suwalska, A.
Pałys, W.
Łojko, D.
Suwalska, J.
Tobis, S.
Kasierska, M.
Wieczorowska-Tobis, K.
Analysis of sociodemographic, clinical, and lifestyle factors associated with cognitive aging
title Analysis of sociodemographic, clinical, and lifestyle factors associated with cognitive aging
title_full Analysis of sociodemographic, clinical, and lifestyle factors associated with cognitive aging
title_fullStr Analysis of sociodemographic, clinical, and lifestyle factors associated with cognitive aging
title_full_unstemmed Analysis of sociodemographic, clinical, and lifestyle factors associated with cognitive aging
title_short Analysis of sociodemographic, clinical, and lifestyle factors associated with cognitive aging
title_sort analysis of sociodemographic, clinical, and lifestyle factors associated with cognitive aging
topic Abstract
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10596660/
http://dx.doi.org/10.1192/j.eurpsy.2023.415
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