Internet use and cognitive frailty in older adults: a large-scale multidimensional approach.

Aged adults Cognitive impairment Frailty ICT Internet Technology

Journal

European journal of ageing
ISSN: 1613-9372
Titre abrégé: Eur J Ageing
Pays: Germany
ID NLM: 101233661

Informations de publication

Date de publication:
12 2022
Historique:
accepted: 01 02 2022
entrez: 12 12 2022
pubmed: 13 12 2022
medline: 13 12 2022
Statut: epublish

Résumé

Although research on sociodemographic correlates of internet use in older adults without and with pronounced cognitive impairment is already quite extensive, much less is known about the relationship between cognitive frailty (CF) and this behaviour. As CF is associated to multidimensional frailty aspects, this study explored the relationship between internet use and CF, operationalised as Subjective Cognitive Impairment, in older adults by means of a comprehensive explanatory model including sociodemographic factors and multiple frailty measures. The dataset included a sample of community-dwelling 60 + older adults that were included in the Belgian Ageing Studies (BAS) and that completed survey questions on (i) internet use frequency and (ii) internet activities. Multidimensional frailty was measured with the CFAI-Plus. The analysis comprised a structural equation modelling (SEM) procedure. Internet use was frequent; however, it became less frequent with higher CF. Moreover, the latter used less tablets as compared to the no-low CF group. Navigating the web, sharing email and online banking were the most frequently reported activities. Tele-communicating with Skype, online shopping and using e-government services were the least frequent. Age, female gender, lower income and living with a partner were also negatively associated with internet use. To conclude, CF, along with other frailty and sociodemographic factors, was negatively related to internet use in older adults. Future research should focus, amongst others, on the dynamic processes underlying internet use in the population of older adults affected by CF. The online version contains supplementary material available at 10.1007/s10433-022-00686-2.

Identifiants

pubmed: 36506666
doi: 10.1007/s10433-022-00686-2
pii: 10.1007/s10433-022-00686-2
pmc: PMC9729622
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1135-1144

Subventions

Organisme : fonds wetenschappelijk onderzoek
ID : G0D8518N

Informations de copyright

© The Author(s) 2022.

Déclaration de conflit d'intérêts

Conflict of interestThe authors declare that there is no conflict of interest.

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Auteurs

Samantha Dequanter (S)

Department of Public Health Sciences, Biostatistics and Medical Informatics (BISI) Research Group, Vrije Universiteit Brussel, Brussels, Belgium.

Ellen Gorus (E)

Department of Gerontology, Frailty in Ageing (FRIA) Research Group, Vrije Universiteit Brussel, Brussels, Belgium.
Department of Geriatrics, UZ Brussel, Laarbeeklaan 101, 1090 Brussels, Belgium.

Sven Van Laere (S)

Department of Public Health Sciences, Biostatistics and Medical Informatics (BISI) Research Group, Vrije Universiteit Brussel, Brussels, Belgium.

Nico De Witte (N)

Department of Educational Sciences, Belgian Ageing Studies (BAS) Research Group, Vrije Universiteit Brussel, Brussels, Belgium.
Department of Education, Health and Social Work, University College Ghent, Ghent, Belgium.

Dominique Verté (D)

Department of Educational Sciences, Belgian Ageing Studies (BAS) Research Group, Vrije Universiteit Brussel, Brussels, Belgium.

Iris Steenhout (I)

Department of Public Health Sciences, Biostatistics and Medical Informatics (BISI) Research Group, Vrije Universiteit Brussel, Brussels, Belgium.

Maaike Fobelets (M)

Department of Public Health Sciences, Biostatistics and Medical Informatics (BISI) Research Group, Vrije Universiteit Brussel, Brussels, Belgium.

Ronald Buyl (R)

Department of Public Health Sciences, Biostatistics and Medical Informatics (BISI) Research Group, Vrije Universiteit Brussel, Brussels, Belgium.

Classifications MeSH