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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

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Mild cognitive impairment is associated with poorer decision-making in community-based older persons

S Duke Han1, Patricia A Boyle, Bryan D James

  • 1Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois; Department of Behavioral Sciences, Rush University Medical Center, Chicago, Illinois; Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois; Mental Health Care Group, Veterans Affairs Long Beach Healthcare System, Long Beach, California.

Journal of the American Geriatrics Society
|April 9, 2015
PubMed
Abstract

Insights

Mild cognitive impairment (MCI) is linked to worse financial and healthcare decision-making. Perceptual speed is a key factor in these decision-making deficits in individuals with MCI.

Area of Science:

  • Neuroscience
  • Gerontology
  • Cognitive Psychology

Background:

  • Mild cognitive impairment (MCI) represents a transitional stage between normal aging and dementia.
  • Understanding the functional consequences of MCI is crucial for early intervention and support.

Purpose of the Study:

  • To investigate the association between mild cognitive impairment (MCI) and financial and healthcare decision-making.
  • To identify specific cognitive domains that contribute to decision-making deficits in individuals with MCI.

Main Methods:

  • A community-based epidemiological cohort study involving 730 older adults without dementia.
  • Decision-making was assessed using real-world financial and healthcare scenarios.
  • Regression models analyzed the relationship between MCI, cognitive systems, and decision-making performance.

Main Results:

  • Mild cognitive impairment (MCI) was significantly associated with poorer overall, financial, and healthcare decision-making.
  • The impact of MCI on decision-making was comparable to over 10 additional years of aging.
  • Perceptual speed emerged as the primary cognitive predictor of decision-making deficits in MCI.

Conclusions:

  • Individuals with mild cognitive impairment (MCI) may exhibit impaired financial and healthcare decision-making in practical settings.
  • Perceptual speed is a critical cognitive domain influencing decision-making abilities in persons with MCI.
Keywords:
cognitiondecision-makingmild cognitive impairmentperceptual speed

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