Computer‐related self‐efficacy and anxiety in older adults with and without mild cognitive impairment

Wild, Katherine; Mattek, Nora; Maxwell, Shoshana A.; Dodge, Hiroko H.; Jimison, Holly; Kaye, Jeffrey

doi:10.1016/j.jalz.2011.12.008

Cited by 71 publications

(55 citation statements)

References 28 publications

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“…Many researchers have established that computer use helps alleviate computer anxiety [6,12,13]. Through our work, we have been able to see the change in older users over time.…”

Section: Resultsmentioning

confidence: 92%

Lessons from our elders

Kumar

Ureel

King

et al. 2013

Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments

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In today's world, technological change outpaces many people's ability to comprehend or trust it, let alone embrace it. It is vitally important that developers of pervasive technology for the elderly are grounded in the needs, experience, and capabilities of the people they seek to help. We have organized and participated in an ongoing outreach program that trains elderly residents of our rural community in digital literacy skills. The attendees at our help sessions, having been left behind in earlier iterations of the technological revolution, exemplify the challenges facing the designers of tomorrow's assistive technology. We report on the lessons we have learned in this regard through the interactions with our elderly participants. We identify three recurring themes: anxiety stifles exploration, details obscure abstraction, lag complicates adoption -illustrating them with real stories gleaned from our records. We offer our program as a model for engagement with the elderly, helping them overcome their obstacles to literacy and giving us researchers a non-invasive perspective on their situation.

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“…Many researchers have established that computer use helps alleviate computer anxiety [6,12,13]. Through our work, we have been able to see the change in older users over time.…”

Section: Resultsmentioning

confidence: 92%

Lessons from our elders

Kumar

Ureel

King

et al. 2013

Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments

View full text Add to dashboard Cite

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“…There were significant differences in several areas of computer self-efficacy between MCI and cognitively intact persons. MCI volunteers reported less confidence and more anxiety over time while using their computer relative to cognitively intact seniors who gained confidence[33]. …”

Section: Discussionmentioning

confidence: 99%

Unobtrusive measurement of daily computer use to detect mild cognitive impairment

Kaye

Mattek

Dodge

et al. 2013

Alzheimer's & Dementia

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127

139

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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 to 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 usage (number of days with use, mean daily usage and coefficient of variation of use) measured by remotely monitoring computer session start and end times. Results Over 230,000 computer sessions from 113 computer users (mean age, 85; 38 with MCI) were acquired during a mean of 36 months. In mixed effects models there was no difference in computer usage 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=0.01), mean daily usage (~1% greater decrease/month; p=0.009) and an increase in day-to-day use variability (p=0.002). Conclusions Computer use change can be unobtrusively monitored and indicate individuals with MCI. With 79% of those 55–64 years old now online, this may be an ecologically valid and efficient approach to track subtle clinically meaningful change with aging.

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“…After training in the use of the computer interface (16), participants completed an online health questionnaire every week that assessed nine domains of health during the last week. The item related to low mood asked, “During the last week, have you felt downhearted or blue for more than three days?”, with the answers “Yes” and “No”.…”

Section: Methodsmentioning

confidence: 99%

Associations Between Observed In‐Home Behaviors and Self‐Reported Low Mood in Community‐Dwelling Older Adults

Thielke

Mattek

Hayes

et al. 2014

J American Geriatrics Society

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Objective Using novel monitoring technologies, we sought to ascertain the association between self-report of low mood and unobtrusively measured behaviors (walking speed, time out of residence, frequency of room transitions, and computer use) in community-dwelling older adults. Design Longitudinal cohort study of older adults whose homes were outfitted with activity sensors. The participants completed internet-based weekly health questionnaires with questions about mood. Setting Apartments and homes of older adults living in the Portland, Oregon metropolitan area. Participants 157 adults, average age 84, followed for an average of 3.7 years. Measurements Mood was assessed by self-report each week. Walking speed, time spent out of residence, and room transitions were estimated using data from sensors; computer use was measured by timing actual use. We ascertained the association between global or weekly low mood and the four behavior measures, adjusting for baseline characteristics. Results 18,960 weekly observations of mood were analyzed; 2.6% involved low mood. Individuals who reported low mood more often showed no average differences in any behavior parameters compared to those who reported low mood less often. During weeks when they reported low mood, participants spent significantly less time out of residence and on the computer, but showed no change in walking speed or room transitions. Conclusion Low mood in these community-dwelling older adults involved going out of the house less and using the computer less, but no consistent changes in movements. Technologies to monitor in-home behavior may have potential for research and clinical care.

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Computer‐related self‐efficacy and anxiety in older adults with and without mild cognitive impairment

Cited by 71 publications

References 28 publications

Lessons from our elders

Lessons from our elders

Unobtrusive measurement of daily computer use to detect mild cognitive impairment

Associations Between Observed In‐Home Behaviors and Self‐Reported Low Mood in Community‐Dwelling Older Adults

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