Skip to main content
padlock icon - secure page this page is secure

Embedded Online Questionnaire Measures Are Sensitive to Identifying Mild Cognitive Impairment

Buy Article:

$52.00 + tax (Refund Policy)


Early changes in cognitively demanding daily activities occur between normal cognition and the development of mild cognitive impairment (MCI). These real-world functional changes as early signals of cognitive change form a prime target for meaningful early detection of dementia. We examined whether passive aspects of responding to a remotely monitored weekly online questionnaire discriminated between older adults with and without MCI.


Participants were 83 independent, community-dwelling older adults enrolled in a longitudinal study of in-home monitoring technologies, which included completion of a short weekly online questionnaire of health and life events.


In longitudinal analyses, time to complete the online questionnaire decreased over 1 year in both MCI and cognitively intact participants (P<0.01). MCI and intact participants did not differ in the time of day they submitted their questionnaires initially; however, over the course of 1 year MCI participants began to submit their questionnaires progressively later in the day and they needed greater assistance from staff as compared with intact participants (P<0.05). The online questionnaire performance measures were significantly correlated to conventional cognitive test scores (P<0.05) across the spectrum of normal cognition to MCI.


Ambiently assessed, passive performance measures embedded within an online questionnaire are able to discriminate between normal cognition and MCI. Remote monitoring of cognitively demanding routine daily activities is a promising approach for ecologically valid real-world cognitive assessment.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: aging; cognitive assessment; cognitive impairment; computer use; early detection; everyday functioning; everyday technology; real-world settings; remote monitoring

Document Type: Research Article

Affiliations: 1: Departments of Neurology, Oregon Center for Aging and Technology, Oregon Health & Science University, Portland, OR 2: Departments of Neurology 3: Departments of Neurology, Oregon Center for Aging and Technology, Oregon Health & Science University, Portland, OR, Biomedical Engineering

Publication date: April 1, 2016

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more