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Journal article

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.

Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1186/1471-244x-3-19

Authors

More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Primary Care Health Sciences
Role:
Author


Publisher:
BioMed Central
Journal:
BMC Psychiatry More from this journal
Volume:
3
Article number:
19
Publication date:
2003-12-10
Acceptance date:
2003-12-10
DOI:
EISSN:
1471-244X


Language:
English
Keywords:
Pubs id:
353395
UUID:
uuid:079f7c77-79ab-415f-98ac-0c70385e49a9
Local pid:
pubs:353395
Source identifiers:
353395
Deposit date:
2012-12-19
ARK identifier:

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