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Five-factor model, technology enthusiasm and technology anxiety
Blekinge Institute of Technology, Faculty of Engineering, Department of Health.ORCID iD: 0000-0002-2848-2377
Blekinge Institute of Technology, Faculty of Engineering, Department of Health.ORCID iD: 0000-0002-6752-017X
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.ORCID iD: 0000-0003-0423-9927
Blekinge Institute of Technology, Faculty of Engineering, Department of Health.ORCID iD: 0000-0003-4312-2246
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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. © The Author(s) 2023.

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
Identifiers
URN: urn:nbn:se:bth-25426DOI: 10.1177/20552076231203602ISI: 001069602300001Scopus ID: 2-s2.0-85171753514OAI: oai:DiVA.org:bth-25426DiVA, id: diva2:1801549
Available from: 2023-10-02 Created: 2023-10-02 Last updated: 2023-10-30Bibliographically approved

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Berner, JessicaMoraes, Ana Luiza DalloraPalm, BrunaSanmartin Berglund, JohanAnderberg, Peter

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Berner, JessicaMoraes, Ana Luiza DalloraPalm, BrunaSanmartin Berglund, JohanAnderberg, Peter
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Department of HealthDepartment of Mathematics and Natural Sciences
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Digital Health
Gerontology, specialising in Medical and Health Sciences

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