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. 2009 Jul 23;11(3):e29.
doi: 10.2196/jmir.1142.

Potential benefits and harms of a peer support social network service on the internet for people with depressive tendencies: qualitative content analysis and social network analysis

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Potential benefits and harms of a peer support social network service on the internet for people with depressive tendencies: qualitative content analysis and social network analysis

Yoshimitsu Takahashi et al. J Med Internet Res. .

Abstract

Background: Internet peer support groups for depression are becoming popular and could be affected by an increasing number of social network services (SNSs). However, little is known about participant characteristics, social relationships in SNSs, and the reasons for usage. In addition, the effects of SNS participation on people with depression are rather unknown.

Objective: The aim was to explore the potential benefits and harms of an SNS for depression based on a concurrent triangulation design of mixed methods strategy, including qualitative content analysis and social network analysis.

Methods: A cross-sectional Internet survey of participants, which involved the collection of SNS log files and a questionnaire, was conducted in an SNS for people with self-reported depressive tendencies in Japan in 2007. Quantitative data, which included user demographics, depressive state, and assessment of the SNS (positive vs not positive), were statistically analyzed. Descriptive contents of responses to open-ended questions concerning advantages and disadvantages of SNS participation were analyzed using the inductive approach of qualitative content analysis. Contents were organized into codes, concepts, categories, and a storyline based on the grounded theory approach. Social relationships, derived from data of "friends," were analyzed using social network analysis, in which network measures and the extent of interpersonal association were calculated based on the social network theory. Each analysis and integration of results were performed through a concurrent triangulation design of mixed methods strategy.

Results: There were 105 participants. Median age was 36 years, and 51% (36/71) were male. There were 37 valid respondents; their number of friends and frequency of accessing the SNS were significantly higher than for invalid/nonrespondents (P = .008 and P = .003). Among respondents, 90% (28/31) were mildly, moderately, or severely depressed. Assessment of the SNS was performed by determining the access frequency of the SNS and the number of friends. Qualitative content analysis indicated that user-selectable peer support could be passive, active, and/or interactive based on anonymity or ease of use, and there was the potential harm of a downward depressive spiral triggered by aggravated psychological burden. Social network analysis revealed that users communicated one-on-one with each other or in small groups (five people or less). A downward depressive spiral was related to friends who were moderately or severely depressed and friends with negative assessment of the SNS.

Conclusions: An SNS for people with depressive tendencies provides various opportunities to obtain support that meets users' needs. To avoid a downward depressive spiral, we recommend that participants do not use SNSs when they feel that the SNS is not user-selectable, when they get egocentric comments, when friends have a negative assessment of the SNS, or when they have additional psychological burden.

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Conflict of interest statement

None declared.

Figures

Figure 1
Figure 1
Screenshot of the SNS home page for people with depressive tendencies (Friends: online friends whose profiles are featured as links on one’s own profile. Communities: online communities for people with similar interests or activities. Messages: online messages, such as Web-based email. Information: displays information from the administrator. Invitation function: users who want to participate need an invitation from a participant for registration. Footprints function: participants can ascertain and access the history of another participant. Privacy controls function: participants can choose who can view their profile or contact them.)
Figure 2
Figure 2
Flow diagram of subjects surveyed and analyzed: “Participants” were subjects of the SNS log file analysis; “Valid respondents” were subjects of the Internet questionnaire analysis; “Withdrew” refers to people who had deleted their accounts themselves; “Exclusion” refers to people who were excluded (one was the administrator, and two had registered within the week before collection of data from the SNS log files); “Respondents” were people who provided informed consent; “Valid respondents” were people who answered any item of the questionnaire; “Invalid respondents” were people who did not answer any item, although they provided informed consent. † is subjects of the SNS log file analysis. ‡ is subjects of the Internet questionnaire survey analysis.
Figure 3
Figure 3
Social network in the SNS. Each node with a number represents one person. Numbers refer to anonymous registrants’ IDs, corresponding to Table 3. Each line between nodes indicates a “friend” relationship. Depressive states, assessment of the SNS, and mood states are explained in Table 2. We compared the mood states in two situations: (A) during normal time (time not using the SNS or Internet) and (C) while using the SNS. “Better than during normal time” means that the mood state in (C) is better than the mood state in (A).

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References

    1. Powell John, McCarthy Noel, Eysenbach Gunther. Cross-sectional survey of users of Internet depression communities. BMC Psychiatry. 2003 Dec 10;3(1):19–26. doi: 10.1186/1471-244X-3-19. http://www.biomedcentral.com/1471-244X/3/191471-244X-3-19 - DOI - PMC - PubMed
    1. Moussavi Saba, Chatterji Somnath, Verdes Emese, Tandon Ajay, Patel Vikram, Ustun Bedirhan. Depression, chronic diseases, and decrements in health: results from the World Health Surveys. Lancet. 2007 Sep 8;370(9590):851–858. doi: 10.1016/S0140-6736(07)61415-9.S0140-6736(07)61415-9 - DOI - PubMed
    1. American Psychiatric Association Work Group on Major Depressive Disorder, authors. Practice Guideline for the Treatment of Patients With Major Depressive Disorder, Second Edition. 2000. http://www.psychiatryonline.com/pracGuide/pracGuideTopic_7.aspx.
    1. U.S. Preventive Services Task Force, authors. Screening for depression: recommendations and rationale. Ann Intern Med. 2002 May 21;136(10):760–764. http://www.annals.org/cgi/pmidlookup?view=long&pmid=12020145200205210-00012 - PubMed
    1. Sharp Lisa K, Lipsky Martin S. Screening for depression across the lifespan: a review of measures for use in primary care settings. Am Fam Physician. 2002 Sep 15;66(6):1001–1008. http://www.aafp.org/link_out?pmid=12358212 - PubMed