Internet-Enabled Behaviors in Older Adults During the Pandemic: Patterns of Use, Psychosocial Impacts, and Plans for Continued Utilization.

COVID-19 older adults technology adoption technology use

Journal

Work, aging and retirement
ISSN: 2054-4642
Titre abrégé: Work Aging Retire
Pays: England
ID NLM: 101708619

Informations de publication

Date de publication:
Jan 2024
Historique:
medline: 6 8 2022
pubmed: 6 8 2022
entrez: 10 1 2024
Statut: epublish

Résumé

In response to social distancing measures during the COVID-19 pandemic, there was a need to increase the frequency of internet enabled behaviors (IEBs). To date, little is known about how the pandemic impacted IEBs in older adults, a population that has historically been linked to lower digital literacy and utilization. We administered an online survey between April and July 2021 to 298 adults who were over age 50 (mean age = 73 years; 93.5% non-Hispanic white; 94% smart phone owners; 83.5% retired). Older adults self-reported IEBs for social, shopping, medical, and leisure activities during the pandemic, plans for continued use of these behaviors, and completed measures of psychosocial functioning. 66.8% of respondents reported an overall increase in IEBs during the pandemic, most notably for online meeting attendance. More frequent online meeting use was associated with less depression (

Identifiants

pubmed: 38196827
doi: 10.1093/workar/waac026
pii: waac026
pmc: PMC10772966
doi:

Types de publication

Journal Article

Langues

eng

Pagination

6-13

Informations de copyright

© The Author(s) 2022. Published by Oxford University Press. For permissions please e-mail: journals.permissions@oup.com.

Auteurs

Jared F Benge (JF)

Department of Neurology, University of Texas at Austin, Austin, TX, United States.
Mulva Clinic for the Neurosciences, University of Texas at Austin, Austin, TX, United States.

Alyssa Aguirre (A)

Department of Neurology, University of Texas at Austin, Austin, TX, United States.
Mulva Clinic for the Neurosciences, University of Texas at Austin, Austin, TX, United States.

Michael K Scullin (MK)

Department of Psychology and Neurosciences, Baylor University, Waco, TX, United States.

Andrew M Kiselica (AM)

Department of Health Psychology, University of Missouri, Columbia, MO, United States.

Robin C Hilsabeck (RC)

Department of Neurology, University of Texas at Austin, Austin, TX, United States.
Mulva Clinic for the Neurosciences, University of Texas at Austin, Austin, TX, United States.

David Paydarfar (D)

Department of Neurology, University of Texas at Austin, Austin, TX, United States.
Mulva Clinic for the Neurosciences, University of Texas at Austin, Austin, TX, United States.

Michael Douglas (M)

Georgetown Neuroscience Foundation, Georgetown, TX, United States.

Classifications MeSH