Prevalence and Risk of Mild Cognitive Impairment in Low and Middle-Income Countries: A Systematic Review.

Epidemiology low-and middle-income country, mild cognitive impairment prevalence risk factors systematic review

Journal

Journal of Alzheimer's disease : JAD
ISSN: 1875-8908
Titre abrégé: J Alzheimers Dis
Pays: Netherlands
ID NLM: 9814863

Informations de publication

Date de publication:
2021
Historique:
pubmed: 29 12 2020
medline: 18 9 2021
entrez: 28 12 2020
Statut: ppublish

Résumé

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. This systematic review aimed to review epidemiological reports to determine the prevalence of MCI and its associated risk factors in LMICs. Medline, Embase, and PsycINFO were searched from inception until November 2019. Eligible articles reported on MCI in population or community-based studies from LMICs and were included as long as MCI was clearly defined. 5,568 articles were screened, and 78 retained. In total, n = 23 different LMICs were represented; mostly from China (n = 55 studies). Few studies were 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 amnesic MCI (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. 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.

Sections du résumé

BACKGROUND
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 and were included as long as MCI was clearly defined.
RESULTS
5,568 articles were screened, and 78 retained. In total, n = 23 different LMICs were represented; mostly from China (n = 55 studies). Few studies were 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 amnesic MCI (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.

Identifiants

pubmed: 33361599
pii: JAD201043
doi: 10.3233/JAD-201043
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

743-762

Auteurs

Andrea M McGrattan (AM)

Population Health Sciences Institute, Newcastle University, UK.

Yueping Zhu (Y)

Department of Psychology and Behavioral Science, Zhejiang University, Hangzhou, China.

Connor D Richardson (CD)

Population Health Sciences Institute, Newcastle University, UK.

Devi Mohan (D)

Global Public Health, Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Malaysia.
South East Asia Community Observatory (SEACO), Monash University Malaysia, Segamat, Malaysia.

Yee Chang Soh (YC)

Global Public Health, Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Malaysia.
South East Asia Community Observatory (SEACO), Monash University Malaysia, Segamat, Malaysia.

Ayesha Sajjad (A)

Erasmus School of Health Policy and Management; Erasmus University Rotterdam, Rotterdam, The Netherlands.

Carla van Aller (C)

Population Health Sciences Institute, Newcastle University, UK.

Shulin Chen (S)

Department of Psychology and Behavioral Science, Zhejiang University, Hangzhou, China.

Stella-Maria Paddick (SM)

Translational and Clinical Research Institute, Newcastle University, UK.
Gateshead NHS Community Health Foundation Trust, Gateshead, UK.

Matthew Prina (M)

Social Epidemiology Research Group, Health Service and Population Research Department, King's College London, London, UK.

Mario Siervo (M)

School of Life Sciences, The University of Nottingham Medical School, Nottingham, UK.

Louise A Robinson (LA)

Population Health Sciences Institute, Newcastle University, UK.

Blossom C M Stephan (BCM)

Institute of Mental Health, Division of Psychiatry and Applied Psychology, Nottingham University, UK.

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