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Five-factor model, technology enthusiasm and technology anxiety
Department of Health, Blekinge Institute of Technology, Karlskrona, Sweden.
Department of Health, Blekinge Institute of Technology, Karlskrona, Sweden.
Department of Mathematics, Blekinge Institute of Technology, Karlskrona, Sweden.
Department of Health, Blekinge Institute of Technology, Karlskrona, Sweden.
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2023 (English)In: Digital Health, E-ISSN 2055-2076, Vol. 9Article in journal (Refereed) Published
Abstract [en]

Older adults need to participate in the digital society, as societal and personal changes and what they do with the remaining time that they have in their older years has an undeniable effect on motivation, cognition and emotion. Changes in personality traits were investigated in older adults over the period 2019–2021. Technology enthusiasm and technology anxiety are attitudes that affect the relationship to the technology used. The changes in the score of technology enthusiasm and technology anxiety were the dependent variables. They were investigated with personality traits, age, gender, education, whether someone lives alone, cognitive function, digital social participation (DSP) and health literacy as predictors of the outcome. The Edwards-Nunnally index and logistic regression were used. The results indicated that DSP, lower age, lower neuroticism and higher education were indicative of less technology anxiety. High DSP and high extraversion are indicative of technology enthusiasm. DSP and attitude towards technology seem to be key in getting older adults to stay active online. 

Place, publisher, year, edition, pages
Sage Publications, 2023. Vol. 9
Keywords [en]
digital social participation, five-factor model, older adults, personality, Technology anxiety, technology enthusiasm
National Category
Gerontology, specialising in Medical and Health Sciences Geriatrics Applied Psychology Human Aspects of ICT
Research subject
Family-Centred Health
Identifiers
URN: urn:nbn:se:his:diva-23263DOI: 10.1177/20552076231203602ISI: 001069602300001PubMedID: 37744749Scopus ID: 2-s2.0-85171753514OAI: oai:DiVA.org:his-23263DiVA, id: diva2:1800850
Note

CC BY 4.0

© The Author(s) 2023.

Corresponding author: Jessica Berner, Department of Health, Blekinge Institute of Technology, Valhallavägen 1, 371 79, Karlskrona, Sweden. Email: jessica.berner@bth.se

The authors received no financial support for the research, authorship, and/or publication of this article.

Available from: 2023-09-28 Created: 2023-09-28 Last updated: 2024-01-17Bibliographically approved

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Anderberg, Peter

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