Literature DB >> 29878116

Predictors of Performance in Everyday Technology Tasks in Older Adults With and Without Mild Cognitive Impairment.

Laura I Schmidt1, Hans-Werner Wahl2.   

Abstract

Background and
Objectives: The ability to use everyday technology has become a key competence for conducting activities of daily living, maintaining an autonomous life, as well as participating in society. However, studying this issue in older adults needs more attention, particularly among those with mild cognitive impairment (MCI). Research Design and
Methods: We assessed the performance of N = 80 older adults (M = 73 years) in a range of tasks representing important life domains, i.e., using a blood pressure monitor, a mobile phone, and an eBook reader. Thirty-nine participants had been diagnosed with MCI by experienced geropsychiatrists and 41 healthy controls were matched for age, sex, and education. Standardized observation based on video-recording and coding was combined with cognitive testing and assessment of social-cognitive variables (self-efficacy, perceived obsolescence, attitudes towards technology).
Results: Cognitively healthy participants outperformed those with MCI regarding completion time and errors. An interaction effect of device and study group indicated larger differences in completion time for tasks with multilayered interfaces. In hierarchical regression models, aggregated cognitive factors (fluid and memory component) predicted performance and interactions with education level emerged. Obsolescence, addressing a perceived lack of competence to cope with modern society, mediated the effect of cognitive status on performance, both regarding time (partial mediation, adj.R2 = 28%) and errors (full mediation, adj.R2 = 23%). Discussion and Implications: Findings show that social-cognitive factors contribute to differences in performance on everyday technology tasks in addition to cognitive abilities. Training programs may profit from considering respective individual resources or limitations in the cognitive, personality-related or emotional-motivational domain.

Entities:  

Mesh:

Year:  2019        PMID: 29878116     DOI: 10.1093/geront/gny062

Source DB:  PubMed          Journal:  Gerontologist        ISSN: 0016-9013


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  9 in total

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