Measuring Cognitive Function and Cognitive Decline With Response Time Data in the National Social Life, Health, and...

Area of Science:

• Gerontology
• Cognitive Science
• Survey Methodology

Background:

• Growing interest in cognitive function and dementia due to aging populations.
• Lack of adequate cognitive measures in existing research datasets.
• Potential for utilizing unexploited survey data for cognitive modeling.

Purpose of the Study:

• To investigate response times (RTs) as a novel measure of cognitive function.
• To compare RTs with a standard cognitive assessment (Montreal Cognitive Assessment - MoCA).
• To explore the predictive validity of RTs for concurrent and future cognitive decline.

Main Methods:

• Utilized response time (RT) metadata from the National Social Life, Health, and Aging Survey.
• Employed a survey-adapted version of the Montreal Cognitive Assessment (MoCA).
• Compared various RT measures against MoCA scores.

Main Results:

• RTs significantly predict concurrent and future MoCA scores.
• Longer and more variable baseline RTs predict lower MoCA scores five years later.
• Predictive effects of RTs vary by race and age, but not by gender.

Conclusions:

• Response times (RTs) represent a powerful, independent measure of cognitive functioning.
• RTs can enhance cognitive assessment accuracy without increasing administration time.
• RTs offer significant utility for both clinical and social science research.