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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

Association of diabetes with amnestic and nonamnestic mild cognitive impairment

Rosebud O Roberts1, David S Knopman2, Yonas E Geda3

  • 1Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA; Department of Neurology, Mayo Clinic, Rochester, MN, USA.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|April 9, 2013
PubMed
Abstract

Insights

Type 2 diabetes increases the risk of mild cognitive impairment (MCI) in older adults. This association varies by MCI subtype, affected cognitive domains, and sex, highlighting the need for diabetes management to prevent cognitive decline.

Area of Science:

  • Neurology
  • Endocrinology
  • Geriatrics

Background:

  • Type 2 diabetes is linked to Alzheimer's disease and vascular pathology, potentially increasing risks for amnestic MCI (aMCI) and nonamnestic MCI (naMCI).
  • Understanding the specific associations between type 2 diabetes and MCI subtypes is crucial for targeted prevention strategies.

Purpose of the Study:

  • To investigate the association between type 2 diabetes and mild cognitive impairment (MCI) in an elderly population.
  • To examine how type 2 diabetes relates to specific MCI subtypes: amnestic MCI (aMCI) and nonamnestic MCI (naMCI), considering sex differences.

Main Methods:

  • A prospective, population-based study of Olmsted County residents aged 70 years and older.
  • Participants underwent regular neurological and neuropsychological evaluations for diagnosis of normal cognition, MCI, or dementia.
  • Type 2 diabetes status was determined from baseline medical records.

Main Results:

  • Over a median of 4.0 years, type 2 diabetes was associated with an increased risk of MCI (HR 1.39).
  • Diabetes showed a significant association with aMCI (HR 1.58), particularly multiple-domain aMCI (HR 1.58) and single-domain aMCI (HR 1.49).
  • Sex-specific associations were observed, with stronger links to multiple-domain aMCI in men and single-domain naMCI in women.

Conclusions:

  • Type 2 diabetes is associated with a higher risk of MCI in the elderly population.
  • The relationship between diabetes and MCI is complex, influenced by MCI subtype, cognitive domain involvement, and sex.
  • Effective diabetes management may play a role in reducing the risk of MCI and Alzheimer's disease.
Keywords:
Cohort studiesDiabetic neuropathyDiabetic retinopathyIncidenceMild cognitive impairmentPopulation-based studiesRisk factorsSex differencesType 2 diabetes

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