Issue |
SHS Web Conf.
Volume 200, 2024
2024 International Conference on Sustainable Economy and Social Sciences (SESS 2024)
|
|
---|---|---|
Article Number | 02023 | |
Number of page(s) | 5 | |
Section | Social Development | |
DOI | https://doi.org/10.1051/shsconf/202420002023 | |
Published online | 31 October 2024 |
Research on Exercise Intervention for Elderly People Based on Cognitive Function Improvement
Fuzhou Sunshine Experimental School, Fuzhou, China
* Corresponding author: linxinqi2006@126.com
Against the backdrop of the increasingly significant global aging trend, the problem of cognitive decline in the elderly has received widespread attention from all sectors of society. This article first systematically reviews the relevant concepts of cognitive decline in the elderly, including its definition, main manifestations, and epidemiological characteristics, and deeply analyzes the various impacts of cognitive decline on the daily lives of the elderly. On this basis, the article focuses on exploring the theoretical basis, empirical research results, and mechanism of action of exercise intervention as a non-pharmacological treatment method for improving cognitive function in the elderly. Through a comprehensive evaluation of existing research, this article further proposes design principles and implementation strategies for elderly exercise intervention programs. It demonstrates the effectiveness and feasibility of exercise intervention in delaying cognitive decline in the elderly through specific case analysis. The article also proposes suggestions for future research directions, emphasizing the need to strengthen interdisciplinary cooperation, deeply explore the long-term effects of exercise intervention on cognitive function in the elderly, and optimize intervention plans to achieve more personalized and accurate health management services, providing scientific basis and practical guidance for addressing global aging challenges.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.