The public health impact and policy implications of online support group use for mental health in Singapore : cross-sectional survey

• Main Authors: Roystonn, Kumarasan, Vaingankar, Janhavi Ajit, Chua, Boon Yiang, Sambasivam, Rajeswari, Shafie, Saleha, Jeyagurunathan, Anitha, Verma, Swapna, Abdin, Edimansyah, Chong, Siow Ann, Subramaniam, Mythily
• Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
• Format: Article
• Language: English
• Published: 2021
• Subjects: Science::Medicine; Online Support Group; Internet
• Online Access: https://hdl.handle.net/10356/148789
• Institution: Nanyang Technological University

Background: The wide mental health treatment gap continues to pose a global and local public health challenge. Online support groups are on the rise and could be used to complement formal treatment services for mental health. Objective: This study aimed to examine the prevalence of online support group use and explore factors associated with the use in the general population using data from a national cross-sectional mental health survey in Singapore. Methods: Singapore residents aged 18 years and above participated in a nationally representative household survey in which the World Health Organization Composite International Diagnostic Interview 3.0 was administered by trained interviewers to examine the use of online support groups for mental health. Multiple logistic regressions were used to analyze the association of online support group use with various sociodemographic and health factors. Results: A total of 6110 respondents with complete data were included in this study. Overall, 10 individuals per 1000 adults (1%) reported seeking help from online support groups for their mental health problems. Compared to younger adults (those aged 18 to 34 years) and those with university education, individuals aged 50 to 64 years (P<.001; OR 0.1, 95% CI 0.0-0.3) and those with preuniversity qualifications (P=.02; OR 0.1, 95% CI 0.0-0.8) were less likely to use online support groups for mental health, respectively. Participants with a Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) mental disorder were 6.8 times more likely (P<.001; 95% CI 3.0-15.4) to use an online support group; in particular, individuals with major depressive disorder (P<.001; OR 5.4, 95% CI 2.1-13.8) and obsessive compulsive disorder (P=.01; OR 3.5, 95% CI 1.3-9.7) were more likely to use an online support group for their mental health. Conclusions: Online support groups could be used to complement formal treatment services, especially for mood and anxiety-related disorders. As online support group use for mental health issues may be more prevalent among younger people, early detection and accurate information in online support groups may guide individuals toward seeking professional help for their mental health problems.