Unobtrusive measurement of daily computer use to detect mild cognitive impairment

Jeffrey Kaye, Nora Mattek, Hiroko Dodge, Ian Campbell, Tamara Hayes, Daniel Austin, William Hatt, Katherine Wild, Holly Jimison, Michael Pavel

Research output: Contribution to journalArticle

53 Citations (Scopus)

Abstract

Background: Mild disturbances of higher order activities of daily living are present in people diagnosed with mild cognitive impairment (MCI). These deficits may be difficult to detect among those still living independently. Unobtrusive continuous assessment of a complex activity such as home computer use may detect mild functional changes and identify MCI. We sought to determine whether long-term changes in remotely monitored computer use differ in persons with MCI in comparison with cognitively intact volunteers. Methods: Participants enrolled in a longitudinal cohort study of unobtrusive in-home technologies to detect cognitive and motor decline in independently living seniors were assessed for computer use (number of days with use, mean daily use, and coefficient of variation of use) measured by remotely monitoring computer session start and end times. Results: More than 230,000 computer sessions from 113 computer users (mean age, 85 years; 38 with MCI) were acquired during a mean of 36 months. In mixed-effects models, there was no difference in computer use at baseline between MCI and intact participants controlling for age, sex, education, race, and computer experience. However, over time, between MCI and intact participants, there was a significant decrease in number of days with use (P =.01), mean daily use (∼1% greater decrease/month; P =.009), and an increase in day-to-day use variability (P =.002). Conclusions: Computer use change can be monitored unobtrusively and indicates individuals with MCI. With 79% of those 55 to 64 years old now online, this may be an ecologically valid and efficient approach to track subtle, clinically meaningful change with aging.

Original languageEnglish (US)
Pages (from-to)10-17
Number of pages8
JournalAlzheimer's and Dementia
Volume10
Issue number1
DOIs
StatePublished - Jan 2014

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Cognitive Dysfunction
Sex Education
Activities of Daily Living
Longitudinal Studies
Volunteers
Cohort Studies
Technology

Keywords

  • Activities of daily living
  • Assessment of cognitive disorders/dementia
  • Cohort studies
  • Computer use
  • Mild cognitive impairment

ASJC Scopus subject areas

  • Health Policy
  • Epidemiology
  • Geriatrics and Gerontology
  • Psychiatry and Mental health
  • Cellular and Molecular Neuroscience
  • Developmental Neuroscience
  • Clinical Neurology

Cite this

Unobtrusive measurement of daily computer use to detect mild cognitive impairment. / Kaye, Jeffrey; Mattek, Nora; Dodge, Hiroko; Campbell, Ian; Hayes, Tamara; Austin, Daniel; Hatt, William; Wild, Katherine; Jimison, Holly; Pavel, Michael.

In: Alzheimer's and Dementia, Vol. 10, No. 1, 01.2014, p. 10-17.

Research output: Contribution to journalArticle

Kaye, J, Mattek, N, Dodge, H, Campbell, I, Hayes, T, Austin, D, Hatt, W, Wild, K, Jimison, H & Pavel, M 2014, 'Unobtrusive measurement of daily computer use to detect mild cognitive impairment', Alzheimer's and Dementia, vol. 10, no. 1, pp. 10-17. https://doi.org/10.1016/j.jalz.2013.01.011
Kaye, Jeffrey ; Mattek, Nora ; Dodge, Hiroko ; Campbell, Ian ; Hayes, Tamara ; Austin, Daniel ; Hatt, William ; Wild, Katherine ; Jimison, Holly ; Pavel, Michael. / Unobtrusive measurement of daily computer use to detect mild cognitive impairment. In: Alzheimer's and Dementia. 2014 ; Vol. 10, No. 1. pp. 10-17.
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