Leisure Activities and Chinese Older Adults’ Cognitive Function
Authors
Shen Wang1, Li Zhang2, *
1School of International Relations, Beijing International Studies University, Beijing, 100024, China
2School of Sociology, China University of Political Science and Law, Beijing, 102249, China
*Corresponding author.
Email: lzhang@cupl.edu.cn
Corresponding Author
Li Zhang
Available Online 26 March 2024.
- DOI
- 10.2991/978-2-38476-222-4_65How to use a DOI?
- Keywords
- older adults; CLHLS; cognitive function; leisure activity
- Abstract
Through analyzing the 2011 data released by the Chinese Longitudinal Healthy Longevity Survey (CLHLS), this study examined the correlation between leisure activities and older adults’ cognitive function. The study found that a higher level of leisure activity participation linked to a lower risk of cognitive function decline. Leisure activity types also matter. Social participation, intellectual activities and outdoor activities were found to be beneficial to maintain older adults’ cognitive function. Older adults are encouraged to be engaged in those types of leisure activities to prevent cognitive function decline.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Shen Wang AU - Li Zhang PY - 2024 DA - 2024/03/26 TI - Leisure Activities and Chinese Older Adults’ Cognitive Function BT - Proceedings of the 3rd International Conference on Culture, Design and Social Development (CDSD 2023) PB - Atlantis Press SP - 525 EP - 534 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-222-4_65 DO - 10.2991/978-2-38476-222-4_65 ID - Wang2024 ER -