Cross-sectional survey of users of Internet depression communities
- PMID: 14664725
- PMCID: PMC317315
- DOI: 10.1186/1471-244X-3-19
Cross-sectional survey of users of Internet depression communities
Abstract
Background: Internet-based depression communities provide a forum for individuals to communicate and share information and ideas. There has been little research into the health status and other characteristics of users of these communities.
Methods: Online cross-sectional survey of Internet depression communities to identify depressive morbidity among users of Internet depression communities in six European countries; to investigate whether users were in contact with health services and receiving treatment; and to identify user perceived effects of the communities.
Results: Major depression was highly prevalent among respondents (varying by country from 40% to 64%). Forty-nine percent of users meeting criteria for major depression were not receiving treatment, and 35% had no consultation with health services in the previous year. Thirty-six percent of repeat community users who had consulted a health professional in the previous year felt that the Internet community had been an important factor in deciding to seek professional help.
Conclusions: There are high levels of untreated and undiagnosed depression in users of Internet depression communities. This group represents a target for intervention. Internet communities can provide information and support for stigmatizing conditions that inhibit more traditional modes of information seeking.
References
-
- Fox S, Rainie L. Vital Decisions: How internet users decide what information to trust when they or their loved ones are sick. Washington, DC: The Pew Internet & American Life Project. 2002.
-
- Pleace N, Burrows R, Loader B, Muncer S, Nettleton S. On-Line With the Friends of Bill W: Social Support and the Net. Sociological Research Online. 2000;5:U134–U148.
-
- Glasgow RE, Barrera M, Mckay HG, Boles SM. Social Support and Health Among Participants in an Internet-Based Diabetes Support Program: a Multi-Dimensional Investigation. Diabetes. 1998;47:1263. - PubMed
-
- White H, Mcconnell E, Clipp E, Bynum L, Teague C, Navas L, et al. Surfing the Net in Later Life: a Review of the Literature and Pilot Study of Computer Use and Quality of Life. Journal of Applied Gerontology. 1999;18:358–378.
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