Hostname: page-component-586b7cd67f-gb8f7 Total loading time: 0 Render date: 2024-11-28T23:35:25.528Z Has data issue: false hasContentIssue false
  • English
  • Français

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

Published online by Cambridge University Press:  19 July 2023

A. Suwalska ,
W. Pałys ,
D. Łojko ,
J. Suwalska ,
S. Tobis ,
M. Kasierska  and
K. Wieczorowska-Tobis
A. Suwalska*
Affiliation:
1Department of Mental Health, Poznan University of Medical Sciences, Poznan
W. Pałys
Affiliation:
2Faculty of Health Sciences, Academy of Kalisz, Kalisz
D. Łojko
Affiliation:
3Department of Adult Psychiatry
J. Suwalska
Affiliation:
4Department of Treatment of Obesity, Metabolic Disorders and Clinical Dietetics
S. Tobis
Affiliation:
5Department of Occupational Therapy
M. Kasierska
Affiliation:
1Department of Mental Health, Poznan University of Medical Sciences, Poznan
K. Wieczorowska-Tobis
Affiliation:
6Department of Palliative Medicine, Poznan University of Medical Sciences, Poznan, Poland
*
*Corresponding author.

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
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

Type
Abstract
Information
European Psychiatry , Volume 66 , Special Issue S1: Abstracts of the 31st European Congress of Psychiatry , March 2023 , pp. S172
Creative Commons
Creative Common License - CCCreative Common License - BY
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.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of the European Psychiatric Association
Submit a response

Comments

No Comments have been published for this article.