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 delineat...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Cambridge University Press
2023-03-01
|
| Series: | European Psychiatry |
| Online Access: | https://www.cambridge.org/core/product/identifier/S0924933823004157/type/journal_article |
| _version_ | 1827754215867416576 |
|---|---|
| author | A. Suwalska W. Pałys D. Łojko J. Suwalska S. Tobis M. Kasierska K. Wieczorowska-Tobis |
| author_facet | A. Suwalska W. Pałys D. Łojko J. Suwalska S. Tobis M. Kasierska K. Wieczorowska-Tobis |
| author_sort | A. Suwalska |
| collection | DOAJ |
| 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 |
| first_indexed | 2024-03-11T07:46:07Z |
| format | Article |
| id | doaj.art-40ccfe15a26245aa8ef6a757712681f4 |
| institution | Directory Open Access Journal |
| issn | 0924-9338 1778-3585 |
| language | English |
| last_indexed | 2024-03-11T07:46:07Z |
| publishDate | 2023-03-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | European Psychiatry |
| spelling | doaj.art-40ccfe15a26245aa8ef6a757712681f42023-11-17T05:07:31ZengCambridge University PressEuropean Psychiatry0924-93381778-35852023-03-0166S172S17210.1192/j.eurpsy.2023.415Analysis of sociodemographic, clinical, and lifestyle factors associated with cognitive agingA. Suwalska0W. Pałys1D. Łojko2J. Suwalska3S. Tobis4M. Kasierska5K. Wieczorowska-Tobis61Department of Mental Health, Poznan University of Medical Sciences, Poznan2Faculty of Health Sciences, Academy of Kalisz, Kalisz3Department of Adult Psychiatry4Department of Treatment of Obesity, Metabolic Disorders and Clinical Dietetics5Department of Occupational Therapy1Department of Mental Health, Poznan University of Medical Sciences, Poznan6Department of Palliative Medicine, Poznan University of Medical Sciences, Poznan, Poland 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 Declaredhttps://www.cambridge.org/core/product/identifier/S0924933823004157/type/journal_article |
| spellingShingle | A. Suwalska W. Pałys D. Łojko J. Suwalska S. Tobis M. Kasierska K. Wieczorowska-Tobis Analysis of sociodemographic, clinical, and lifestyle factors associated with cognitive aging European Psychiatry |
| 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 |
| url | https://www.cambridge.org/core/product/identifier/S0924933823004157/type/journal_article |
| work_keys_str_mv | AT asuwalska analysisofsociodemographicclinicalandlifestylefactorsassociatedwithcognitiveaging AT wpałys analysisofsociodemographicclinicalandlifestylefactorsassociatedwithcognitiveaging AT dłojko analysisofsociodemographicclinicalandlifestylefactorsassociatedwithcognitiveaging AT jsuwalska analysisofsociodemographicclinicalandlifestylefactorsassociatedwithcognitiveaging AT stobis analysisofsociodemographicclinicalandlifestylefactorsassociatedwithcognitiveaging AT mkasierska analysisofsociodemographicclinicalandlifestylefactorsassociatedwithcognitiveaging AT kwieczorowskatobis analysisofsociodemographicclinicalandlifestylefactorsassociatedwithcognitiveaging |