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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Prevalence and Risk of Mild Cognitive Impairment in Low and Middle-Income Countries: A Systematic Review
Andrea M McGrattan1, Yueping Zhu2, Connor D Richardson1
1Population Health Sciences Institute, Newcastle University, UK.
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.
Insights
Mild cognitive impairment (MCI) research is scarce in low- and middle-income countries (LMICs). This review found significant variability in MCI prevalence and diagnosis, highlighting the need for standardized methods and more population-based studies in LMICs.
Area of Science:
- Neurology
- Epidemiology
- Public Health
Background:
- Mild cognitive impairment (MCI) is a significant risk factor for dementia.
- There is a lack of epidemiological research on MCI in low- and middle-income countries (LMICs).
- Dementia prevalence is high in LMICs, underscoring the need for MCI research in these regions.
Purpose of the Study:
- To systematically review epidemiological studies on MCI prevalence and associated risk factors in LMICs.
- To identify research gaps in MCI epidemiology within LMIC settings.
Main Methods:
- Systematic review of Medline, Embase, and PsycINFO databases.
- Inclusion of population or community-based studies from LMICs with clearly defined MCI criteria.
- Screening of 5,568 articles, retaining 78 for analysis, representing 23 LMICs.
Main Results:
- Prevalence estimates for MCI varied widely across studies and diagnostic criteria (e.g., amnesic MCI ranged from 0.6% to 22.3%).
- Most studies were from China, with limited representation from lower-middle and low-income countries or population-representative samples.
- Risk factors for MCI included demographic (age), health (cardio-metabolic disease), and lifestyle (social isolation, smoking, diet, physical activity) factors.
Conclusions:
- There is a critical need for more population-representative epidemiological studies on MCI in LMICs outside of China.
- Standardization of MCI diagnostic methodologies is essential for cross-study comparisons and effective resource allocation.
- Further research is required to understand MCI prevalence and risk factors in diverse LMIC populations.
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