EconPapers    
Economics at your fingertips  
 

Selective sharing and social bonding: a qualitative study of online health information behaviour among older adults in Shanghai

Minzhi Ye and Yan Liu

Behaviour and Information Technology, 2025, vol. 44, issue 19, 4823-4837

Abstract: The health information landscape has been revolutionised by the advent of social media, significantly affecting older adults’ access to and interaction with online health information. In this study, we examine how older adults interact with health information on social media. In total, 30 participants aged 60 years and older from Shanghai were interviewed, focusing on their health information-seeking behaviour, perceptions, and subsequent actions using a semi-structured, in-depth interview approach. Furthermore, in this study, we employed grounded theory to analyze the data, and the results revealed that older adults utilise a comprehensive cognitive process for evaluating health information. Information-sharing decisions among participants were significantly influenced by ethical considerations and a sense of responsibility. Selective sharing, particularly within close relationships, underscored the role of online health information in fostering connections. This study illuminates the multifaceted nature of older adults’ interactions with online health information and emphasises the significance of ethical considerations in sharing behaviours. Furthermore, this study provides practical implications for public health initiatives and regulatory measures to empower older adults to make informed decisions in an evolving digital healthcare landscape.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2025.2494281 (text/html)
Access to full text is restricted to subscribers.

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:taf:tbitxx:v:44:y:2025:i:19:p:4823-4837

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20

DOI: 10.1080/0144929X.2025.2494281

Access Statistics for this article

Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos

More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-12-13
Handle: RePEc:taf:tbitxx:v:44:y:2025:i:19:p:4823-4837