Can Changes in Older Adults' Technology Use Patterns Be Used to Detect Cognitive Decline?

Area of Science:

• Gerontology
• Neuroscience
• Digital Health

Background:

• Dementia diagnoses in older adults are projected to double by mid-century.
• Early dementia detection is crucial for effective treatment and disease management.
• Current detection methods are costly, invasive, and not universally accessible.

Purpose of the Study:

• To investigate if technology use patterns can serve as an early indicator of cognitive changes.
• To explore the relationship between changes in technology engagement and cognitive function in older adults.

Main Methods:

• Utilized 6 waves of data (2015-2020) from the National Health and Aging Trends Study.
• Examined within-person and between-person effects of discontinuing four types of technology use.
• Assessed the impact on four distinct cognitive outcomes.

Main Results:

• Discontinuation of Internet, computer, and tablet use was associated with cognitive decline.
• Reduced engagement in texting and email communication also correlated with cognitive decline.

Conclusions:

• Technology use patterns offer a potential innovative method for identifying individuals at risk of cognitive decline.
• Monitoring digital engagement may provide an economical and efficient approach to early detection.