Literature DB >> 23410539

Online peer support for mental health problems in the United States: 2004-2010.

D C DeAndrea1, J C Anthony.   

Abstract

BACKGROUND: Help seeking for online peer and other social support in response to depression and other mental health problems offers an electronic technology alternative to traditional mental health care. Here, with nationally representative samples of adult community residents in the USA, we study online peer support help seeking, estimate its occurrence, and investigate depression and other suspected predictors and correlates, some of which might prove to be causal influences.
METHOD: The data are from nationally representative probability sample surveys of the non-institutionalized US adult population, with a new independent sample assessed via confidential computerized self-assessment modules each year from 2004 to 2010, yielding estimates about online peer support. A total of 264,431 adults participated in these years.
RESULTS: An estimated three per 1000 adults (0.3%) seek online peer support for mental health problems each year (95% confidence interval 0.0022-0.0036). Individuals with depression and/or serious psychological distress are strongly over-represented among these adult online peer support help seekers (odds ratio >7, p < 0.001). Associations with college education, being non-Hispanic white, being female, and age are also noteworthy (p < 0.05).
CONCLUSIONS: Online help seeking for mental health social support is becoming frequent enough for study in large sample national surveys, and might well be fostered by active neuropsychiatric ailments such as depression or other serious psychological distress. Open questions remain about whether the result is beneficial, or conditions required for efficacious online peer support, as might be disclosed in definitive evidence from randomized controlled trials.

Entities:  

Mesh:

Year:  2013        PMID: 23410539      PMCID: PMC4327823          DOI: 10.1017/S0033291713000172

Source DB:  PubMed          Journal:  Psychol Med        ISSN: 0033-2917            Impact factor:   7.723


  21 in total

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2.  Internet use and stigmatized illness.

Authors:  Magdalena Berger; Todd H Wagner; Laurence C Baker
Journal:  Soc Sci Med       Date:  2005-04-26       Impact factor: 4.634

3.  Age differences in stress and coping processes.

Authors:  S Folkman; R S Lazarus; S Pimley; J Novacek
Journal:  Psychol Aging       Date:  1987-06

Review 4.  Stress, coping, and social support processes: where are we? What next?

Authors:  P A Thoits
Journal:  J Health Soc Behav       Date:  1995

5.  Are consumers of Internet health information "cyberchondriacs"? Characteristics of 24,965 users of a depression screening site.

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7.  Psychotherapeutic drugs. Use among adults in California.

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8.  Use of the Internet and e-mail for health care information: results from a national survey.

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10.  Cross-sectional survey of users of Internet depression communities.

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  9 in total

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4.  Infertility patients' need and preferences for online peer support.

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5.  When support is needed: Social support solicitation and provision in an online alcohol use disorder forum.

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Review 7.  Suicidal behaviours and moderator support in online health communities: a scoping review.

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8.  Detecting Recovery Problems Just in Time: Application of Automated Linguistic Analysis and Supervised Machine Learning to an Online Substance Abuse Forum.

Authors:  Rachel Kornfield; Prathusha K Sarma; Dhavan V Shah; Fiona McTavish; Gina Landucci; Klaren Pe-Romashko; David H Gustafson
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9.  Detection of Suicidality Among Opioid Users on Reddit: Machine Learning-Based Approach.

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  9 in total

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