Correlation of Minority Status, Cyberbullying, and Mental Health: A Cross-Sectional Study of 1031 Adolescents
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Adolescent cyberbullying is increasingly prevalent. Depression and suicidal ideation are also common, particularly among minority adolescents and cyberbullied adolescents. Little data exists to establish whether minority cyberbullied adolescents are at greater risk of negative mental health outcomes associated with cyberbullying. This cross-sectional study of 1031 adolescents presenting to an emergency room examines the prevalence of cyberbullying in minority and non-minority populations. Using logistic regression, we compared mental health symptoms between minority and non-minority cyberbullying-involved adolescents (accounting for demographic factors), and examined the correlation between use of multiple forms of online technology, minority status, and prevalence of cyberbullying. Sexual orientation was the only demographic factor to strongly correlate with cyberbullying involvement or to correlate with negative mental health symptoms. Increased use of social media platforms also correlated with cyberbullying involvement. This analysis provides a baseline for future work around targeted cyberbullying interventions for minority adolescent populations.
KeywordsCyberbullying Adolescent Demographics Social media Mental health
This work was supported by grants from the National Institutes of Health K23 MH095866 and R21 HD088739.
- Bender, M. S., Choi, J., Arai, S., Paul, S. M., Gonzalez, P., & Fukuoka, Y. (2014). Digital technology ownership, usage, and factors predicting downloading health apps among caucasian, filipino, korean, and latino americans: the digital link to health survey. JMIR Mhealth Uhealth, 2(4), e43. https://doi.org/10.2196/mhealth.3710.CrossRefPubMedPubMedCentralGoogle Scholar
- Cyberbullying: its nature and impact in secondary school pupils. Journal of Child Psychology and Psychiatry, 49(4), 376–385. https://doi.org/10.1111/j.1469-7610.2007.01846.x.
- Elgar, F. J., Napoletano, A., Saul, G., Dirks, M. A., Craig, W., Poteat, V. P.,.. . Koenig, B. W. (2014). Cyberbullying victimization and mental health in adolescents and the moderating role of family dinners. JAMA Pediatrics, 168(11), 1015–1022. https://doi.org/10.1001/jamapediatrics.2014.1223.CrossRefPubMedGoogle Scholar
- Fletcher, A., Fitzgerald-Yau, N., Jones, R., Allen, E., Viner, R. M., & Bonell, C. (2014). Brief report: Cyberbullying perpetration and its associations with socio-demographics, aggressive behaviour at school, and mental health outcomes. Journal of Adolescence, 37(8), 1393–1398. https://doi.org/10.1016/j.adolescence.2014.10.005.CrossRefPubMedGoogle Scholar
- Gender Identity in U.S. Surveillance Group. (2013). Gender-Related Measures Overview. Retrieved from Los Angeles, CA: http://williamsinstitute.law.ucla.edu/wp-content/uploads/GenIUSS-Gender-related-Question-Overview.pdf.
- Gilbody, S., Richards, D., Brealey, S., & Hewitt, C. (2007). Screening for depression in medical settings with the Patient Health Questionnaire (PHQ): a diagnostic meta-analysis. Journal of General Internal Medicine, 22(11), 1596–1602. https://doi.org/10.1007/s11606-007-0333-y.CrossRefPubMedPubMedCentralGoogle Scholar
- Hamburger, M. E., Basile, K. C., & Vivolo, A. M. (2011). Measuring Bullying Victimization, Perpetration, and Bystander Experiences: A Compendium of Assessment Tools. Atlanta, GA.Google Scholar
- Harris, K., Florey, F., Tabor, J., Bearman, P., Jones, J., & Udry, J. (2003). The national longitudinal study of adolescent health: Research design [WWW document]. Retrieved from http://www.cpc.unc.edu/projects/addhealth/design.
- Human Rights Campaign. (2016). LGBTQ Youth in the Foster Care System. Issue Brief. Retrieved from: https://www.hrc.org/resources/lgbt-youth-in-the-foster-care-system.
- Jansen, J. V. S. (2011). Differences and Similarities between Perpetrators and Victims of Online Misconduct. Paper presented at the EU Kids Online Conference, London, England.Google Scholar
- Kann, L., O’Malley Olsen, E., McManus, T., Harris, W. A., Shanklin, S. L., Flint, K. H.,.. . Zaza, S (2016). Sexual Identity, Sex of Sexual Contacts, and Health-Related Behaviors Among Students in Grades 9–12 — United States and Selected Sites. MMWR Surveillance Summaries, 65(9), 1–202.CrossRefGoogle Scholar
- Kosciw, J. G., Greytak, E. A., Bartkiewicz, M. J., Boesen, M. J., & Palmer, N. A. (2016). The 2011 National School Climate Survey: The Experiences of Lesbian, Gay, Bisexual and Transgender Youth in Our Nation’s Schools. Gay, Lesbian and Straight Education Network (GLSEN).Google Scholar
- Kosciw, J. G., Greytak, E. A., & Diaz, E. M. (2009). Who, What, Where, When, and Why: Demographic and Ecological Factors Contributing to Hostile School Climate for Lesbian, Gay, Bisexual, and Transgender Youth. Journal of Youth and Adolescence, 38(7), 976–988. https://doi.org/10.1007/s10964-009-9412-1.CrossRefPubMedGoogle Scholar
- Kroenke, K., Spitzer, R. L., & Williams, J. B. (2001). The PHQ-9: validity of a brief depression severity measure. Journal of General Internal Medicine, 16(9), 606–613. https://doi.org/10.1046/j.1525-1497.2001.016009606.x.CrossRefPubMedPubMedCentralGoogle Scholar
- Leech, S. L., Larkby, C. A., Day, R., & Day, N. L. (2006). Predictors and Correlates of High Levels of Depression and Anxiety Symptoms Among Children at Age 10. Journal of the American Academy of Child & Adolescent Psychiatry, 45(2), 223–230. https://doi.org/10.1097/01.chi.0000184930.18552.4d.CrossRefGoogle Scholar
- Lenhart, A. (2015). Teens, Social Media & Technology Overview 2015. Retrieved from http://www.pewinternet.org/2015/04/09/teens-social-media-technology-2015/.
- Litman, L., Costantino, G., Waxman, R., Sanabria-Velez, C., Rodriguez-Guzman, V. M., Lampon-Velez, A., Brown, R., & Cruz, T. (2015). Relationship Between Peer Victimization and Posttraumatic Stress Among Primary School Children. Journal of Traumatic Stress, 28, 348–354. https://doi.org/10.1002/jts.22031.CrossRefPubMedGoogle Scholar
- Makadon, H. J., Mayer, K. H., Potter, J., & Goldhammer, H. (2007). The Fenway Guide to Lesbian, Gay, Bisexual, and Transgender Health (Vol. 1). Philadelphia: PA American College of Physicians.Google Scholar
- NTIA. (1998). Falling Through the Net II: New Data on the Digital Divide. Retrieved from http://www.ntia.doc.gov/report/1998/falling-through-net-ii-new-data-digital-divide.
- Pew Research Center Fact Tank. (2013). Teens, Social Media, and Privacy.Google Scholar
- Ranney, M. L., Choo, E. K., Cunningham, R. M., Spirito, A., Thorsen, M., Mello, M. J., & Morrow, K. (2014). Acceptability, language, and structure of text message-based behavioral interventions for high-risk adolescent females: a qualitative study. Journal of Adolescent Health, 55(1), 33–40. https://doi.org/10.1016/j.jadohealth.2013.12.017.CrossRefPubMedPubMedCentralGoogle Scholar
- Ranney, M. L., Choo, E. K., Wang, Y., Baum, A., Clark, M. A., & Mello, M. J. (2012). Emergency department patients’ preferences for technology-based behavioral interventions. Annals of Emergency Medicine, 60(2), 218–227. e248. https://doi.org/10.1016/j.annemergmed.2012.02.026.CrossRefPubMedGoogle Scholar
- Ranney, M. L., Patena, J. V., Nugent, N., Spirito, A., Boyer, E., Zatzick, D., & Cunningham, R. (2017). PTSD, cyberbullying and peer violence: prevalence and correlates among adolescent emergency department patients. General Hospital Psychiatry, 39, 32–38. https://doi.org/10.1016/j.genhosppsych.2015.12.002.CrossRefGoogle Scholar
- Ranney, M. L., Pittman, S. K., Dunsiger, S., Guthrie, K., Spirito, A., Boyer, E., & Cunningham, R. M. (in press). Emergency department text messaging for adolescent violence and depression prevention: A pilot RCT. Psychological Services.Google Scholar
- Russell, S. T., & Fish, J. N. (2016). Mental Health in Lesbian, Gay, Bisexual, and Transgender (LGBT) Youth. Annual Review of Clinical Psychology, 12, 465–487. https://doi.org/10.1146/annurev-clinpsy-021815-093153.CrossRefPubMedPubMedCentralGoogle Scholar
- Schneider, S. K., O’Donnell, L., Stueve, A., & Coulter, R. W. (2012). Cyberbullying, school bullying, and psychological distress: a regional census of high school students. American Journal of Public Health, 102(1), 171–177. https://doi.org/10.2105/AJPH.2011.300308.CrossRefPubMedPubMedCentralGoogle Scholar
- Simon, G. E., Coleman, K. J., Rossom, R. C., Beck, A., Oliver, M., Johnson, E., … & Rutter, C. (2016). Risk of suicide attempt and suicide death following completion of the Patient Health Questionnaire depression module in community practice. The Journal of Clinical Psychiatry, 77(2), 221–227.CrossRefPubMedPubMedCentralGoogle Scholar
- Smith, P. K., Mahdavi, J., Carvalho, M., Fisher, S., Russell, S., & Tippett, N. (2008).Google Scholar
- StataCorp. (2013). College Station, TX: StataCorp LP.Google Scholar
- World Health Organization. (2000). Health Behaviour in School-Aged Children: a WHO Cross-National Study (HBSC) International Report. Copenhagen, Denmark. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/119571/E67880.pdf.