Exploration of salient risk factors involved in mild cognitive impairment

Alexandria D Samson1,2, Kelly Shen1,3, Cheryl L Grady1,2,4

  • 1Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada.

Insights

This study identified key risk factors for mild cognitive impairment (MCI) in older adults, finding age, male sex, and education level are significant. Apolipoprotein E4 (ApoE4) status and cognitive performance also play crucial roles in MCI development and progression.

Area of Science:

  • Neuroscience
  • Gerontology
  • Neurology

Background:

  • Mild cognitive impairment (MCI) is a common condition in older adults, often preceding Alzheimer's disease (AD).
  • Understanding MCI risk factors is crucial for early intervention and developing targeted therapies.
  • Individual experiences of MCI vary, necessitating research into specific risk indicators.

Purpose of the Study:

  • To investigate the prevalence of seven established MCI risk categories in older adults.
  • To identify salient risk factors associated with MCI using statistical analysis.
  • To explore differences in risk factor profiles between cognitively unimpaired and MCI groups.

Main Methods:

  • Analysis of a large sample of older adults, categorized as cognitively unimpaired or with MCI.
  • Application of partial least squares to identify significant risk factors.
  • Assessment of neuropsychological measures, Apolipoprotein E4 (ApoE4) status, and cerebrospinal fluid (CSF) biomarkers (tau and amyloid beta).

Main Results:

  • Neuropsychological deficits were more pronounced in MCI groups compared to controls.
  • Apolipoprotein E4 (ApoE4) carriers were more prevalent in severe MCI, while non-carriers were common in healthy controls.
  • Increased age, male sex, and lower education were identified as key MCI risk factors. Higher CSF tau correlated with ApoE4, age, and functional decline. Amyloid beta correlated positively with cognitive performance and non-ApoE4 status.

Conclusions:

  • Specific risk factors, including age, sex, education, ApoE4 status, and CSF biomarkers, are strongly associated with MCI.
  • Findings differentiate MCI from healthy aging and suggest potential biomarkers for AD progression.
  • Results provide valuable insights for future research in healthy aging, MCI, and Alzheimer's disease.

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