Gait-Based Screening for Cognitive Impairment in Older Adults: A Fast and Objective Approach

Area of Science:

• Gerontology
• Neurology
• Biomechanical Engineering

Background:

• Cognitive impairment is a growing concern in aging populations.
• Current screening methods are time-consuming and require clinical expertise.
• Gait analysis presents a promising, objective alternative for early detection.

Purpose of the Study:

• Identify gait variables linked to cognitive impairment in older adults.
• Develop predictive algorithms for distinguishing impaired from non-impaired individuals.
• Validate gait analysis as a gold-standard screening tool.

Main Methods:

• Cross-sectional study of 42 adults over 60 years old.
• Cognitive function assessed via Mini-Mental State Examination (MMSE).
• Spatiotemporal gait parameters measured using the Optogait system; logistic regression models developed and validated.

Main Results:

• Algorithms using stride length and double support time showed high classification performance.
• Training group achieved an AUC-ROC of 0.91 (sensitivity 71.4%, specificity 92.3%).
• Validation group demonstrated an AUC-ROC of 0.84 with 81.0% accuracy.

Conclusions:

• Gold-standard gait analysis effectively identifies cognitive impairment in older adults.
• Developed algorithms provide a rapid, objective, and accurate screening alternative.
• Potential for significant clinical application in early cognitive decline detection.