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Updated: Nov 20, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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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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Prevalence of Mild Cognitive Impairment in the Lothian Birth Cohort 1936

Miles Welstead1, Michelle Luciano1, Graciela Muniz-Terrera2

  • 1Lothian Birth Cohorts, Department of Psychology.

Alzheimer Disease and Associated Disorders
|January 22, 2021
PubMed
Abstract

Insights

Mild cognitive impairment (MCI) and its subtypes increased with age in the Lothian Birth Cohort 1936. Nonamnestic MCI rates were higher than anticipated, suggesting a need for further research into predictive factors.

Area of Science:

  • Gerontology
  • Neuroscience
  • Epidemiology

Background:

  • The Lothian Birth Cohort 1936 (LBC1936) is a key longitudinal study for understanding cognitive and brain aging.
  • Mild cognitive impairment (MCI) has significant clinical implications for aging populations.

Purpose of the Study:

  • To derive indicators for mild cognitive impairment (MCI) and its subtypes (amnestic and nonamnestic) at three distinct time points within the LBC1936 cohort.
  • To compare MCI prevalence using cohort-specific normative data versus general UK population norms.

Main Methods:

  • MCI status was assessed at ages 76, 79, and 82 in the LBC1936 study (n=567, 441, 341 respectively).
  • Both a general MCI category and specific subtypes, amnestic MCI (aMCI) and nonamnestic MCI (naMCI), were derived.
  • MCI classifications were compared using LBC1936 normative data against general UK population norms.

Main Results:

  • Prevalence of MCI increased from 15% at age 76 to 18% by age 82.
  • Rates for MCI subtypes also rose: aMCI from 4% to 6% and naMCI from 12% to 16% over the study period.
  • Using LBC1936 normative data resulted in higher MCI rates compared to using general UK population norms.

Conclusions:

  • MCI and aMCI prevalence align with existing research findings.
  • Nonamnestic MCI (naMCI) rates were observed to be higher than previously expected.
  • Further LBC1936 research is recommended to identify predictive factors for MCI prevalence and novel risk factors.

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