Literature DB >> 35253766

Modifiable Factors Associated with Reversion from Mild Cognitive Impairment to Cognitively Normal Status: A Prospective Cohort Study.

Feng Sha1, Ziyi Zhao1, Chang Wei1, Bingyu Li2.   

Abstract

BACKGROUND: Previous studies found that about 24% of the mild cognitive impairment (MCI) patients reverse to cognitive normal (CN) status. However, it is unclear which modifiable factors are associated with this reversion.
OBJECTIVE: To identify potential modifiable factors associated with the reversion of MCI to CN status.
METHODS: We conducted a prospective community-based cohort study based on 2002-2018 Chinese Longitudinal Health Longevity Survey (CLHLS). Multivariable Cox regression with least absolute shrinkage and selection operator (LASSO) penalty for variable selection was adopted to investigate the associations between reversion to CN and potential modifiable dietary/lifestyle, cardiometabolic, and psychological factors.
RESULTS: Our analysis included 7,422 MCI participants [average age: 90.0 (SD 9.5) years]. Among these participants, 1,604 (21.6%) reversed from MCI to CN with a mean (SD) follow-up of 2.9 (1.8) years. Several dietary/lifestyle factors, including daily consumption of fresh fruits (Hazard Ratio [HR]: 1.28, 95% CI: 1.15 to 1.42), engagement in reading (HR: 1.24, 95% CI: 1.00 to 1.54), housework (HR: 1.21, 95% CI: 1.08 to 1.35), and mah-jongg or other card games (HR: 1.23, 95% CI: 1.08 to 1.39), were positively associated with possibility of reversion. Cigarette smoking (HR: 0.92, 95% CI: 0.84 to 1.00) and duration of alcohol drinking (HR: 0.97, 95% CI: 0.94 to 0.99) were negatively associated with possibility of reversion. None of the modifiable cardiometabolic and psychological factors was found to be significantly associated with reversion to CN.
CONCLUSION: This study identified several dietary/lifestyle factors associated with MCI reversion that may transfer into large-scale dementia prevention practices.

Entities:  

Keywords:  Cognitive health; dementia prevention; dietary/lifestyle factors; mild cognitive impairment; modifiable factors

Mesh:

Year:  2022        PMID: 35253766     DOI: 10.3233/JAD-215677

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  2 in total

1.  Using machine learning algorithms for predicting cognitive impairment and identifying modifiable factors among Chinese elderly people.

Authors:  Shuojia Wang; Weiren Wang; Xiaowen Li; Yafei Liu; Jingming Wei; Jianguang Zheng; Yan Wang; Birong Ye; Ruihui Zhao; Yu Huang; Sixiang Peng; Yefeng Zheng; Yanbing Zeng
Journal:  Front Aging Neurosci       Date:  2022-08-11       Impact factor: 5.702

Review 2.  Exercise interventions for older people with cognitive frailty-a scoping review.

Authors:  Xiaohua Li; Yan Zhang; Yutong Tian; Qingyun Cheng; Yue Gao; Mengke Gao
Journal:  BMC Geriatr       Date:  2022-09-01       Impact factor: 4.070

  2 in total

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