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Lookup NU author(s): Dr Andrea McGrattanORCiD,
Dr Connor Richardson,
Dr Stella PaddickORCiD,
Dr Mario Siervo,
Dr Louise Robinson
This is the authors' accepted manuscript of an article that has been published in its final definitive form by IOS Press, 2021.
For re-use rights please refer to the publisher's terms and conditions.
AbstractBackground: Mild cognitive impairment (MCI) is a cognitive state associated with increased risk of dementia. Little research on MCI exists from low-and middle-income countries (LMICs), despite high prevalence of dementia in these settings. Objective: This systematic review aimed to review epidemiological reports to determine the prevalence of MCI and its associated risk factors in LMICs. Methods: Medline, Embase, and PsycINFO were searched from inception until November 2019. Eligible articles reported on MCI in population or community-based studies from LMICs. No restrictions on the definition of MCI used as long as it was clearly defined. Results: 4,621 articles were screened, and 78 retained. In total, n = 23 different LMICs were represented; mostly from China (n = 55 studies). Few studies from countries defined as lower-middle income (n = 14), low income (n = 4), or from population representative samples (n = 4). There was large heterogeneity in how MCI was diagnosed; with Petersen criteria the most commonly applied (n = 26). Prevalence of aMCI (Petersen criteria) ranged from 0.6%to 22.3%. Similar variability existed across studies using the International Working Group Criteria for aMCI (range 4.5%to 18.3%) and all-MCI (range 6.1%to 30.4%). Risk of MCI was associated with demographic (e.g., age), health (e.g., cardio-metabolic disease), and lifestyle (e.g., social isolation, smoking, diet and physical activity) factors. Conclusion: Outside of China, few MCI studies have been conducted in LMIC settings. There is an urgent need for population representative epidemiological studies to determine MCI prevalence in LMICs. MCI diagnostic methodology also needs to be standardized. This will allow for cross-study comparison and future resource planning.
Author(s): McGrattan AM, Zhu Y, Richardson CD, Mohan D, Soh YC, Sajjad A, Aller CV, Chen S, Paddick SM, Prina M, Siervo M, Robinson LA, Stephan BCM
Publication type: Article
Publication status: Published
Journal: Journal of Alzheimer's Disease
Print publication date: 19/01/2021
Online publication date: 17/01/2021
Acceptance date: 03/11/2020
Date deposited: 09/02/2021
ISSN (print): 1387-2877
Publisher: IOS Press
PubMed id: 33361599
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