Literature DB >> 29197258

Prevalence of mild cognitive impairment and its subtypes in community-dwelling residents aged 65 years or older in Guangzhou, China.

Dongping Rao1, Xiong Luo1, Muni Tang2, Yin Shen1, Ruoyan Huang1, Junchang Yu1, Jianjuan Ren1, Xiaoying Cheng1, Kangguang Lin1.   

Abstract

BACKGROUND: Prevalence of mild cognitive impairment (MCI) has been reported substantial variations, and mostly in Western countries. Less is known about MCI in the south of China. The study is to estimate the prevalence of MCI and its subtypes in residents aged 65year or older in community-dwelling residents of Guangzhou, China.
METHODS: The study was a community-based, cross-sectional study conducted in rural and urban areas of Guangzhou between April and October 2009. Eight communities were randomly selected using a cluster sampling method. Each elderly was interviewed with Montreal Cognitive Assessment, the Mini-Mental state examination, Auditory Verbal Learning Test, the Clinical Dementia Rating scale et al. MCI was classified as amnestic MCI (a-MCI) or nonamnestic MCI (na-MCI).
RESULTS: 2427 individuals were contacted, but in-person interviews were conducted with 2111 participants. 299 participants with MCI were identified. The prevalence of MCI, a-MCI and na-MCI was 14.2%, 12.2%, 2.0% respectively. The prevalence of MCI and a-MCI increased with age, decreased with education level, and was higher in rural areas than in urban areas. The difference of prevalence of MCI and a-MCI between women with men wasn't statistically significant(MCIχ2=1.0, OR 0.9, 95%CI=0.6-1.2; a-MCIχ2=1.0, OR 0.9, 95%CI=0.6-1.2), when controlling for education by logistic regression analysis.
CONCLUSIONS: The results suggest that 14.2% of elderly individuals are affected by MCI in Guangzhou, China. And MCI was dominated by a-MCI. The prevalence of MCI and a-MCI increased with age, decreased with education level, and was higher in the rural population compared to the urban population.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Elderly; Guangzhou; Mild cognitive impairment; Prevalence; Subtype

Mesh:

Year:  2017        PMID: 29197258     DOI: 10.1016/j.archger.2017.11.003

Source DB:  PubMed          Journal:  Arch Gerontol Geriatr        ISSN: 0167-4943            Impact factor:   3.250


  10 in total

1.  The Incidence and Burden of Risk Factors for Mild Cognitive Impairment in Older Rural Chinese Persons.

Authors:  Jiang Xue; Yongyong Jiao; Jiayu Wang; Shulin Chen
Journal:  Gerontol Geriatr Med       Date:  2022-07-29

Review 2.  Non-communicable Diseases and Cognitive Impairment: Pathways and Shared Behavioral Risk Factors Among Older Chinese.

Authors:  Vasoontara Sbirakos Yiengprugsawan; Colette Joy Browning
Journal:  Front Public Health       Date:  2019-10-23

3.  Strategies for the use of Ginkgo biloba extract, EGb 761® , in the treatment and management of mild cognitive impairment in Asia: Expert consensus.

Authors:  Nagaendran Kandiah; Yee Fai Chan; Christopher Chen; Darwin Dasig; Jacqueline Dominguez; Seol-Heui Han; Jianping Jia; SangYun Kim; Panita Limpawattana; Li-Ling Ng; Dinh Toan Nguyen; Paulus Anam Ong; Encarnita Raya-Ampil; Nor'izzati Saedon; Vorapun Senanarong; Siti Setiati; Harjot Singh; Chuthamanee Suthisisang; Tong Mai Trang; Yuda Turana; Narayanaswamy Venketasubramanian; Fee Mann Yong; Yong Chul Youn; Ralf Ihl
Journal:  CNS Neurosci Ther       Date:  2020-12-22       Impact factor: 5.243

4.  Diet-Cognition Associations Differ in Mild Cognitive Impairment Subtypes.

Authors:  Qiumin Huang; Xiaofang Jia; Jiguo Zhang; Feifei Huang; Huijun Wang; Bing Zhang; Liusen Wang; Hongru Jiang; Zhihong Wang
Journal:  Nutrients       Date:  2021-04-17       Impact factor: 5.717

5.  Prevalence of mild cognitive impairment in community-dwelling Chinese populations aged over 55 years: a meta-analysis and systematic review.

Authors:  Yuan Lu; Chaojie Liu; Dehua Yu; Sally Fawkes; Jia Ma; Min Zhang; Chunbo Li
Journal:  BMC Geriatr       Date:  2021-01-06       Impact factor: 3.921

6.  The complex burden of determining prevalence rates of mild cognitive impairment: A systematic review.

Authors:  Maria Casagrande; Giulia Marselli; Francesca Agostini; Giuseppe Forte; Francesca Favieri; Angela Guarino
Journal:  Front Psychiatry       Date:  2022-09-23       Impact factor: 5.435

7.  Discourse Measures to Differentiate Between Mild Cognitive Impairment and Healthy Aging.

Authors:  Bo Seon Kim; Yong Bum Kim; HyangHee Kim
Journal:  Front Aging Neurosci       Date:  2019-08-21       Impact factor: 5.750

8.  Cognitive, functional, physical, and nutritional status of the oldest old encountered in primary care: a systematic review.

Authors:  Emile Escourrou; Florence Durrieu; Bruno Chicoulaa; Julie Dupouy; Stéphane Oustric; Sandrine Andrieu; Virginie Gardette
Journal:  BMC Fam Pract       Date:  2020-03-27       Impact factor: 2.497

9.  The Efficacy of Cognitive Training for Elderly Chinese Individuals with Mild Cognitive Impairment.

Authors:  Zhenren Peng; Hu Jiang; Xiaomin Wang; Kaiyong Huang; Yukun Zuo; Xiangmin Wu; Abu S Abdullah; Li Yang
Journal:  Biomed Res Int       Date:  2019-11-30       Impact factor: 3.246

10.  Prevalence, Incidence, Influence Factors, and Cognitive Characteristics of Amnestic Mild Cognitive Impairment Among Older Adult: A 1-Year Follow-Up Study in China.

Authors:  Wei Li; Lin Sun; Shifu Xiao
Journal:  Front Psychiatry       Date:  2020-02-28       Impact factor: 4.157

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.