Cross-sectional survey of users of Internet depression communities

BMC Psychiatry. 2003 Dec 10:3:19. doi: 10.1186/1471-244X-3-19.

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 types

  • Comparative Study

MeSH terms

  • Adult
  • Cross-Cultural Comparison
  • Cross-Sectional Studies
  • Depressive Disorder / diagnosis
  • Depressive Disorder / epidemiology
  • Depressive Disorder / psychology*
  • Europe / epidemiology
  • Female
  • Health Services / statistics & numerical data
  • Humans
  • Information Services / organization & administration*
  • Internet / organization & administration*
  • Male
  • Middle Aged
  • Patient Acceptance of Health Care / psychology
  • Patient Acceptance of Health Care / statistics & numerical data
  • Personality Inventory
  • Prevalence
  • Research Design
  • Seasons
  • Self-Help Groups / organization & administration*
  • Stereotyping
  • Surveys and Questionnaires
  • United States / epidemiology