title: 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.
authors.affiliation: Health Services Research Unit, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK. john.powell@soton.ac.uk
authors.forename: John
authors.initials: J
authors.lastname: Powell
authors.forename: Noel
authors.initials: N
authors.lastname: McCarthy
authors.forename: Gunther
authors.initials: G
authors.lastname: Eysenbach
mesh_terms: D000328:Adult; D003431:Cross-Cultural Comparison; D003430:Cross-Sectional Studies; D003866:Depressive Disorder / Q000175:diagnosis / Q000453:epidemiology / Q000523:psychology*; D005060:Europe / Q000453:epidemiology; D005260:Female; D006296:Health Services / Q000706:statistics & numerical data; D006801:Humans; D007255:Information Services / Q000458:organization & administration*; D020407:Internet / Q000458:organization & administration*; D008297:Male; D008875:Middle Aged; D010342:Patient Acceptance of Health Care / Q000523:psychology / Q000706:statistics & numerical data; D010555:Personality Inventory; D015995:Prevalence; D012107:Research Design; D012621:Seasons; D012657:Self-Help Groups / Q000458:organization & administration*; D013240:Stereotyping; D011795:Surveys and Questionnaires; D014481:United States / Q000453:epidemiology