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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
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Cognitive impairment in the population-based ural very old study.
Mukharram M Bikbov1, Gyulli M Kazakbaeva1,2, Ellina M Iakupova1
1Ufa Eye Research Institute, Ufa, Russia.
Frontiers in Aging Neuroscience
|August 5, 2022
Summary
Cognitive impairment (CI) affects nearly half of very elderly Russians, with higher rates in rural areas. Vision and hearing loss significantly contribute to CI in this population.
Area of Science:
- Gerontology
- Epidemiology
- Public Health
Background:
- Cognitive impairment (CI) is a significant public health concern in aging populations.
- Prevalence and associated factors of CI in elderly Russian populations remain understudied.
Purpose of the Study:
- To determine the prevalence of cognitive impairment in a very elderly Russian population.
- To identify key factors associated with cognitive impairment in this demographic.
Main Methods:
- The Ural Very Old Study surveyed 1,526 individuals aged 85+ in Russia.
- Cognitive impairment was assessed using the Mini-Mental State Examination (MMSE).
Main Results:
- Nearly half (48.6%) of the 1,442 participants exhibited cognitive impairment (MMSE score < 24).
- Prevalence of mild, moderate, and severe CI was 24.8%, 17.1%, and 6.8%, respectively.
- Lower MMSE scores correlated with older age, rural residence, lower education, depression, hearing loss, poor vision, and reduced physical activity.
Conclusions:
- Cognitive impairment is highly prevalent in very elderly Russians, affecting 48.6% of the study group.
- Factors such as vision impairment, hearing loss, and lifestyle significantly influence cognitive function in this population.
Keywords:
Alzheimer’s diseaseMini-Mental State ExaminationUral Very Old Studycognitive impairmentdementiaepidemiologypopulation-based studyMore Related Videos
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