TY - JOUR
T1 - Unobtrusive measurement of daily computer use to detect mild cognitive impairment
AU - Kaye, Jeffrey
AU - Mattek, Nora
AU - Dodge, Hiroko H.
AU - Campbell, Ian
AU - Hayes, Tamara
AU - Austin, Daniel
AU - Hatt, William
AU - Wild, Katherine
AU - Jimison, Holly
AU - Pavel, Michael
N1 - Funding Information:
Dr. Kaye receives research support from the Department of Veterans Affairs and the National Institutes of Health (NIH) , directs centers that receive research support from the NIH, Johnson & Johnson , Roche , Bristol Myers Squibb , receives reimbursement through Medicare or commercial insurance plans for providing clinical assessment and care for patients, is salaried to see patients at the Portland VA Medical Center, and serves on the editorial advisory board of the journals Alzheimer's & Dementia and Frontiers of Aging Neuroscience. Dr. Dodge receives research support from the NIH and serves on the Statistical Review Board for International Psychogeriatrics. Dr. Hayes receives research support from the NIH . She has a significant financial interest in Intel Corporation, a company that may have a commercial interest in the results of this research and technology. This potential conflict has been reviewed and managed by the Oregon Health and Science University. Dr. Jimison receives research support from the NIH and the National Science Foundation (NSF) . Dr. Pavel has received research support from the NIH and NSF .
Funding Information:
The study was funded by grants from the National Institutes of Health ( P30AG024978 , R01AG024059 , P30 AG008017 , R01 AG033581 ) and the Intel Corporation . We thank all the participants and research staff of the ISAAC Study.
PY - 2014/1
Y1 - 2014/1
N2 - 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.
AB - 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.
KW - Activities of daily living
KW - Assessment of cognitive disorders/dementia
KW - Cohort studies
KW - Computer use
KW - Mild cognitive impairment
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U2 - 10.1016/j.jalz.2013.01.011
DO - 10.1016/j.jalz.2013.01.011
M3 - Article
C2 - 23688576
AN - SCOPUS:84891166017
SN - 1552-5260
VL - 10
SP - 10
EP - 17
JO - Alzheimer's and Dementia
JF - Alzheimer's and Dementia
IS - 1
ER -