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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

[Prevalence of mild cognitive impairment, amnestic-type, in a Colombian population]

E Henao-Arboleda1, D C Aguirre-Acevedo, C Muñoz

  • 1Grupo de Neuropsicología y Conducta, Universidad de San Buenaventura, Medellin, Colombia. eliana.henao@neurociencias.udea.edu.co

Revista De Neurologia
|June 11, 2008
PubMed
Abstract

Insights

The prevalence of amnestic mild cognitive impairment (MCI) in individuals over 50 in Valle de Aburra was 9.7%. This condition was more common in males and less common in those with over 12 years of schooling.

Area of Science:

  • Neurology
  • Epidemiology

Context:

  • Mild cognitive impairment (MCI) is a predictor of dementia.
  • Amnestic-type MCI often precedes Alzheimer's disease.
  • MCI prevalence ranges from 1-29%.

Purpose:

  • To determine the prevalence of amnestic MCI in adults over 50 in Valle de Aburra.

Summary:

  • A study of 848 participants aged over 50 in Medellin found a 9.7% prevalence of amnestic MCI.
  • Amnestic MCI was more prevalent in males (p=0.01).
  • Higher education (over 12 years) was associated with significantly lower prevalence (p<0.05).

Impact:

  • The study provides crucial epidemiological data on amnestic MCI in the Valle de Aburra region.
  • Findings contribute to understanding MCI risk factors and demographics.
  • Results align with global MCI prevalence ranges, aiding comparative research.

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