Ann Geriatr Med Res.  2024 Jun;28(2):134-143. 10.4235/agmr.23.0174.

Social Network Typologies and Digital Literacy Differences among Korean Older Adults: A Latent Class Analysis

Affiliations
  • 1Department of Occupational Therapy, Graduate School, Yonsei University, Wonju, Korea
  • 2Department of Occupational Therapy, College of Software and Digital Healthcare Convergence, Yonsei University, Wonju, Korea
  • 3Department of Occupational Therapy, Baekseok University, Cheonan, Korea

Abstract

Background
This study categorized older Korean adults’ social networks and analyzed their characteristics and digital literacy differences based on type.
Methods
We analyzed data from 9,377 Korean older adult participants of the 2020 National Survey of Older Koreans, and performed latent class analysis (LCA) chi-square and Welch’s F analyses to understand the characteristics of each social network type. The Games–Howell post-hoc test was applied to determine the significance of differences between groups.
Results
The three social network types derived using LCA were “child-centered,” “child-friend,” and “friend-centered.” The digital literacy levels differed significantly according to social network type.
Conclusion
The results of this study can be used to propose intervention programs and services associated with older adults’ social networks by examining their social network types and the corresponding differences in digital literacy.

Keyword

Computer literacy; Korean; Aged; Social network
Full Text Links
  • AGMR
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr