JOURNAL ARTICLE

Change in Healthy Lifestyle and Subsequent Risk of Cognitive Impairment Among Chinese Older Adults: A National Community-Based Cohort Study.

  • Published In: Journals of Gerontology Series A: Biological Sciences & Medical Sciences, 2024, v. 79, n. 8. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Hu, Chengxiang; Jiang, Kexin; Sun, Xiaoyue; He, Yue; Li, Runhong; Chen, Yana; Zhang, Yuan; Tao, Yuchun; Jin, Lina 3 of 3

Abstract

This article investigates the association between 3-year changes in lifestyle and the risk of cognitive impairment among Chinese adults aged 65 and older, using data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) from 2008 to 2018. A weighted healthy lifestyle score, based on smoking, alcohol consumption, physical activity, and diet, was used to classify participants into persistently unhealthy, decreased, improved, or persistently healthy lifestyle groups. Findings indicate that both improving from an unhealthy to a healthy lifestyle and maintaining a healthy lifestyle are associated with significantly lower risks of cognitive impairment, with stronger effects observed in men than women. The study highlights the importance of lifestyle modifications, particularly physical activity and diet, in mitigating cognitive decline in older adults, while noting limitations such as self-reported data and potential survivor bias.

Additional Information

  • Source:Journals of Gerontology Series A: Biological Sciences & Medical Sciences. 2024/08, Vol. 79, Issue 8, p1
  • Document Type:Article
  • Subject Area:Complementary and Alternative Medicine
  • Publication Date:2024
  • ISSN:1079-5006
  • DOI:10.1093/gerona/glae148
  • Accession Number:178778860
  • Copyright Statement:Copyright of Journals of Gerontology Series A: Biological Sciences & Medical Sciences is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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