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Examining Social Media Experiences and Attitudes Toward Technology-Based Interventions for Reducing Social Isolation Among LGBTQ Youth Living in Rural United States: An Online Qualitative Study

Escobar-Viera, César G., Choukas-Bradley, Sophia, Sidani, Jaime, Maheux, Anne J., Roberts, Savannah R., Rollman, Bruce L.·2022·Frontiers in Digital Health
DOI 10.3389/fdgth.2022.900695PMC PMC9271672
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Abstract

Purpose: Lesbian, gay, bisexual, transgender, and queer (LGBTQ) youth living in rural areas who feel isolated are at high risk of depression and suicidality. Given the lack of support in their offline communities, many rural-living LGBTQ youth turn to social media for social support. In this qualitative study, we examined rural LGBTQ youth's social media experiences and attitudes toward technology-based interventions for reducing perceived isolation. Method: In Spring 2020, we conducted online interviews with LGBTQ youth aged 14-19, living in rural areas of the United States, who screened positive for perceived social isolation (n = 20; 11 cisgender sexual minority, 9 transgender). Interviews examined (1) supportive social media experiences, (2) personal strategies to improve social media experiences, and (3) perspective on potential digital intervention delivery modalities. Data were analyzed using thematic analysis. Findings: Related to supportive content and interactions, themes included (1) positive representation of and connecting with LGBTQ groups on social media are important; (2) content from people with shared experience feels supportive, and (3) lack of feedback to one's experiences is isolating. Regarding personal strategies to improve social media experiences, themes were (1) selecting platforms to connect with different audiences helps make for a more enjoyable social media experience, and (2) several social media platform features can help make for a safer social media experience. Youth discussed advantages and disadvantages of intervention delivery via a mobile app, social media pages or groups, conversational agents (chatbots), and a dedicated website. Conclusion: Viewing positive representation of and connecting with LGBTQ groups, content from people shared experiences, and utilizing a wide array of platform features to increase the likelihood of positive connections are key to a positive social media experience among this group. Combining delivery modalities is key to engaging rural-living LGBTQ youth in digitally delivered support interventions to reduce perceived isolation. Our results inform future intervention research and conversations about social determinants of health between providers and rural LGBTQ patients.

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Research works printed but not linked: 46

  1. 2015, Reducing Social Isolation Across the Lifecourse
  2. Chatterjee, 2018, Risk factors for depression among civilians after the 9/11 world trade center terrorist attacks: a systematic review and meta-Analysis, PLoS Currents., 10, 10.1371/currents.dis.6a00b40c8ace0a6a0017361d7577c50a · DOI
  3. Ge, 2017, Social isolation, loneliness and their relationships with depressive symptoms: a population-based study. Khan HTA, ed, PLoS ONE., 12, e0182145, 10.1371/journal.pone.0182145 · DOI
  4. Baldessarini, 2019, Epidemiology of suicide: recent developments, Epidemiol Psychiatr Sci., 29, e71, 10.1017/S2045796019000672 · DOI
  5. Monteith, 2021, Preventing suicide in rural communities during the COVID-19 pandemic, J Rural Health., 37, 179, 10.1111/jrh.12448 · DOI · Paper page
  6. Hirsch, 2014, Suicide in rural areas: an updated review of the literature, J Rural Ment Health., 38, 65, 10.1037/rmh0000018 · DOI
  7. Zavaleta, 2014, Social isolation: A conceptual and measurement proposal, 10.35648/20.500.12413/11781/ii029 · DOI
  8. Henning-Smith, 2018, Key Informant Perspectives on Rural Social Isolation and Loneliness: Policy Brief
  9. Paceley, 2016, Gender and sexual minority youth in nonmetropolitan communities: individual- and community-level needs for support, Fam Soc., 97, 77, 10.1606/1044-3894.2016.97.11 · DOI · Paper page
  10. Cohn, 2012, Affective distress among adolescents who endorse same-sex sexual attraction: urban versus rural differences and the role of protective factors, J Gay Lesbian Ment Health., 16, 291, 10.1080/19359705.2012.690931 · DOI
  11. Horvath, 2014, A comparison of mental health, substance use, and sexual risk behaviors between rural and non-rural transgender persons, J Homosex., 61, 1117, 10.1080/00918369.2014.872502 · DOI · Paper page
  12. Lyons, 2015, Rural-urban differences in mental health, resilience, stigma, and social support among young Australian gay men, J Rural Health., 31, 89, 10.1111/jrh.12089 · DOI · Paper page
  13. McConnell, 2016, Families matter: social support and mental health trajectories among lesbian, gay, bisexual, and transgender youth, J Adolesc Health., 59, 674, 10.1016/j.jadohealth.2016.07.026 · DOI
  14. McConnell, 2015, Typologies of social support and associations with mental health outcomes among LGBT youth, LGBT Health., 2, 55, 10.1089/lgbt.2014.0051 · DOI
  15. Curtis, 2011, Rural adolescent health: the importance of prevention services in the rural community, J Rural Health., 27, 60, 10.1111/j.1748-0361.2010.00319.x · DOI
  16. DiFulvio, 2011, Sexual minority youth, social connection and resilience: from personal struggle to collective identity, Soc Sci Med., 72, 1611, 10.1016/j.socscimed.2011.02.045 · DOI · Paper page
  17. Ceglarek, 2016, A tool for help or harm? How associations between social networking use, social support, and mental health differ for sexual minority and heterosexual youth, Comp Hum Behav., 65, 201, 10.1016/j.chb.2016.07.051 · DOI
  18. Escobar-Viera, 2018, For better or for worse? A systematic review of the evidence on social media use and depression among lesbian, gay, and bisexual minorities, JMIR Ment Health., 5, e10496, 10.2196/10496 · DOI
  19. Van Zalk, 2011, Who benefits from chatting, and why?, Pers Soc Psychol Bull., 37, 1202, 10.1177/0146167211409053 · DOI
  20. Van Zalk, 2014, Van, Kerr M, Stattin H. Influences between online-exclusive, conjoint and offline-exclusive friendship networks: the moderating role of shyness, Eur J Personal., 28, 134, 10.1002/per.1895 · DOI
  21. Escobar-Viera, 2021, A systematic review of the engagement with social media–delivered interventions for improving health outcomes among sexual and gender minorities, Int Inter, 25, 100428, 10.1016/j.invent.2021.100428 · DOI · Paper page
  22. 2013, Out Online: The Experiences of Lesbian, Gay, Bisexual and Transgender Youth on the Internet.
  23. Escobar-Viera, 2020, Association between LGB sexual orientation and depression mediated by negative social media experiences: national survey study of US young adults, JMIR Ment Health., 7, e23520, 10.2196/23520 · DOI · Paper page
  24. Paceley, 2017, Nonmetropolitan sexual and gender minority youths' friendships: Perceptions of social support among SGM and non-SGM peers, J Gay Lesbian Soc Serv, 29, 399, 10.1080/10538720.2017.1365674 · DOI
  25. Paceley, 2022, “Sometimes You Get Married on Facebook”: the use of social media among nonmetropolitan sexual and gender minority youth, J Homosex., 69, 41, 10.1080/00918369.2020.1813508 · DOI · Paper page
  26. Steinke, 2017, Meeting the needs of sexual and gender minority youth: formative research on potential digital health interventions, J Adolesc Health., 60, 541, 10.1016/j.jadohealth.2016.11.023 · DOI · Paper page
  27. Batterham, 2017, Preferences for internet-based mental health interventions in an adult online sample: findings from an online community survey, JMIR Ment Health., 4, e26, 10.2196/mental.7722 · DOI · Paper page
  28. Yardley, 2016, Understanding and promoting effective engagement with digital behavior change interventions, Am J Prev Med., 51, 833, 10.1016/j.amepre.2016.06.015 · DOI · Paper page
  29. Craig, 2020, Navigating negativity: a grounded theory and integrative mixed methods investigation of how sexual and gender minority youth cope with negative comments online, Psychol Sexual., 11, 161, 10.1080/19419899.2019.1665575 · DOI
  30. Tong, 2007, Consolidated criteria for reporting qualitative research (COREQ): A 32- item checklist for interviews and focus group, I J Qual Health Care., 19, 349, 10.1093/intqhc/mzm042 · DOI · Paper page
  31. Salk, 2020, The gender minority youth study: overview of methods and social media recruitment of a nationwide sample of U.S cisgender and transgender adolescents., Arch Sex Behav., 49, 2601, 10.1007/s10508-020-01695-x · DOI
  32. Russomanno, 2019, Social media recruitment of marginalized, hard-to-reach populations: development of recruitment and monitoring guidelines, JMIR Public Health Surveill., 5, e14886, 10.2196/14886 · DOI
  33. 2005, Qualtrics
  34. Hahn, 2010, Measuring social health in the patient-reported outcomes measurement information system (PROMIS): item bank development and testing, Qual Life Res., 19, 1035, 10.1007/s11136-010-9654-0 · DOI
  35. Vidyo, 2019, Vidyo - Video Conferencing
  36. Nvivo 12 for Windows
  37. Braun, 2022, It's almost time to depart: getting ready for your thematic analysis adventure.
  38. Escobar-Viera, 2019, “I Don't Feel Like the Odd One”: utilizing content analysis to compare the effects of social media use on well-being among sexual minority and nonminority US young adults, Am J Health Promot, 34, 285, 10.1177/0890117119885517 · DOI
  39. Yao, 2015, The impact of online social support on patients' quality of life and the moderating role of social exclusion, J Serv Res., 18, 369, 10.1177/1094670515583271 · DOI
  40. Meyer, 2003, Prejudice, social stress, and mental health in lesbian, gay, and bisexual populations: Conceptual issues and research evidence, Psychol Bull., 129, 674, 10.1037/0033-2909.129.5.674 · DOI · Paper page
  41. Higa, 2014, Negative and positive factors associated with the well-being of lesbian, gay, bisexual, transgender, queer, and questioning (LGBTQ) youth, Youth Soc., 46, 663, 10.1177/0044118X12449630 · DOI
  42. Charmaraman, 2021, Young sexual minority adolescent experiences of self-expression and isolation on social media: cross-sectional survey study, JMIR Ment Health, 8, e26207, 10.2196/26207 · DOI
  43. Bowling, 2020, “It just feels right”: Perceptions of the effects of community connectedness among trans individuals, PLoS ONE, 15, e0240295, 10.1371/journal.pone.0240295 · DOI
  44. Puckett, 2019, Mental health and resilience in transgender individuals: what type ofsupport makes a difference?, J Fam Psychol., 33, 954, 10.1037/fam0000561 · DOI
  45. Rothbaum, 2021, Transgender community resilience on YouTube: Constructing an informational, emotional, and sociorelational support exchange
  46. Pagoto, 2016, A call for a science of engagement: comment on rus and cameron, Ann Behav Med., 50, 690, 10.1007/s12160-016-9839-z · DOI

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Metadata

Authors
Escobar-Viera, C. G., Choukas-Bradley, S., Sidani, J., Maheux, A. J., Roberts, S. R., & Rollman, B. L.
Venue
Frontiers in Digital Health
Publisher
Frontiers Media SA
Published
2022-06-27
Volume
4
ISSN
2673-253X
DOI
10.3389/fdgth.2022.900695
PMC
PMC9271672
Cited by
43
References
10
Licence
creativecommons.org/licenses/by/4.0/ (vor)
Funders
  • National Institutes of Health
  • National Institute of Mental Health

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