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Related Experiment Video

Updated: May 16, 2026

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

A sensorimotor function construct to assess mild cognitive impairment risk.

Amal A Wanigatunga1,2, Hang Wang1,2, Di Huang1

  • 1Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|May 14, 2026
PubMed
Summary

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This summary is machine-generated.

Good sensorimotor function is linked to lower odds of mild cognitive impairment (MCI) in older adults. This suggests sensorimotor assessments could aid in early cognitive decline detection.

Area of Science:

  • Gerontology
  • Neuroscience
  • Public Health

Background:

  • Mild cognitive impairment (MCI) is a critical precursor to dementia.
  • Sensory and motor impairments are individually linked to MCI.
  • The combined effect of sensorimotor function on MCI is not well understood.

Purpose of the Study:

  • To investigate the association between a composite sensorimotor score and MCI.
  • To explore the integrated contribution of sensory and motor functions to cognitive health.

Main Methods:

  • Analysis of cross-sectional data from ARIC (n=880) and BLSA (n=681) cohorts.
  • Creation of a composite sensorimotor score using hearing, vision, olfaction, balance, gait speed, and grip strength.
  • Structural equation modeling to assess associations with MCI, controlling for covariates.
Keywords:
dementia riskmotor performanceolder adultssensory integrationstructural equation modeling

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Main Results:

  • Higher sensorimotor function was associated with significantly lower odds of MCI in both cohorts.
  • ARIC: OR=0.53 (95% CI: 0.40-0.71).
  • BLSA: OR=0.59 (95% CI: 0.43-0.81).

Conclusions:

  • Sensorimotor function is robustly associated with MCI in older adults.
  • Sensorimotor assessments may be valuable for early detection of cognitive decline.
  • Further longitudinal research is required to establish causality.