Reciprocal associations between social media use and self-perception of aging among older adults: Do men and women differ?
Kun Wang and
Danan Gu
Social Science & Medicine, 2023, vol. 321, issue C
Abstract:
Despite the positive impact of social media use in late adulthood, social media use is still low among older adults. Research in technology adoption and utilization indicates the importance of age-specific factors, such as self-perception of aging (SPA). As it is unclear whether SPA facilitates social media use or social media use promotes SPA, reverse causality has emerged as a major point of contention within this literature, with several studies reporting conflicting results. Thus, in this study, we aim to contribute unique insight by examining (1) whether positive and negative SPAs demonstrate unique associations with social media use and (2) whether these reciprocal associations differ by gender.
Keywords: Social media use; Self-perception of aging; Older adults; Gender differences; Reciprocal associations; Health and retirement study (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0277953623001430
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:socmed:v:321:y:2023:i:c:s0277953623001430
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
http://www.elsevier. ... _01_ooc_1&version=01
DOI: 10.1016/j.socscimed.2023.115786
Access Statistics for this article
Social Science & Medicine is currently edited by Ichiro (I.) Kawachi and S.V. (S.V.) Subramanian
More articles in Social Science & Medicine from Elsevier
Bibliographic data for series maintained by Catherine Liu ().