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Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach
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Can Changes in Older Adults' Technology Use Patterns Be Used to Detect Cognitive Decline?

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Monitoring technology use can help detect cognitive decline in older adults. Stopping internet, computer, tablet, texting, and email use indicates potential cognitive changes.

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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.