A Cyberbullying Media-Based Prevention Intervention for Adolescents on Instagram: Pilot Randomized Controlled Trial

Emily R Kutok, Shira Dunsiger, John V Patena, Nicole R Nugent, Alison Riese, Rochelle K Rosen, Megan L Ranney, Emily R Kutok, Shira Dunsiger, John V Patena, Nicole R Nugent, Alison Riese, Rochelle K Rosen, Megan L Ranney

Abstract

Background: Between 15% and 70% of adolescents report experiencing cybervictimization. Cybervictimization is associated with multiple negative consequences, including depressed mood. Few validated, easily disseminated interventions exist to prevent cybervictimization and its consequences. With over 97% of adolescents using social media (such as YouTube, Facebook, Instagram, or Snapchat), recruiting and delivering a prevention intervention through social media and apps may improve accessibility of prevention tools for at-risk youth.

Objective: This study aims to evaluate the feasibility and acceptability of and obtain preliminary outcome data on IMPACT (Intervention Media to Prevent Adolescent Cyber-Conflict Through Technology), a brief, remote app-based intervention to prevent and reduce the effect of cyberbullying.

Methods: From January 30, 2020, to May 3, 2020, a national sample of 80 adolescents with a history of past-year cybervictimization was recruited through Instagram for a randomized control trial of IMPACT, a brief, remote research assistant-led intervention and a fully automated app-based program, versus enhanced web-based resources (control). Feasibility and acceptability were measured by consent, daily use, and validated surveys. Although not powered for efficacy, outcomes (victimization, bystander self-efficacy, and well-being) were measured using validated measures at 8 and 16 weeks and evaluated using a series of longitudinal mixed models.

Results: Regarding feasibility, 24.5% (121/494) of eligible participants provided contact information; of these, 69.4% (84/121) completed full enrollment procedures. Of the participants enrolled, 45% (36/80) were randomized into the IMPACT intervention and 55% (44/80) into the enhanced web-based resources groups. All participants randomized to the intervention condition completed the remote intervention session, and 89% (77/80) of the daily prompts were answered. The retention rate was 99% (79/80) at 8 weeks and 96% (77/80) at 16 weeks for all participants. Regarding acceptability, 100% (36/36) of the intervention participants were at least moderately satisfied with IMPACT overall, and 92% (33/36) of the participants were at least moderately satisfied with the app. At both 8 and 16 weeks, well-being was significantly higher (β=1.17, SE 0.87, P=.02 at 8 weeks and β=3.24, SE 0.95, P<.001 at 16 weeks) and psychological stress was lower (β=-.66, SE 0.08, P=.04 at 8 weeks and β=-.89, SE 0.09, P<.001 at 16 weeks) among IMPACT users than among control group users. Participants in the intervention group attempted significantly more bystander interventions than those in the control group at 8 weeks (β=.82, SE 0.42; P=.02).

Conclusions: This remote app-based intervention for victims of cyberbullying was feasible and acceptable, increased overall well-being and bystander interventions, and decreased psychological stress. Our findings are especially noteworthy given that the trial took place during the COVID-19 pandemic. The use of Instagram to recruit adolescents can be a successful strategy for identifying and intervening with those at the highest risk of cybervictimization.

Trial registration: ClinicalTrials.gov NCT04259216; https://ichgcp.net/clinical-trials-registry/NCT04259216.

Keywords: adolescents; brief interventions; cyberbullying; messaging; mobile application; mobile phone; recruitment; social media.

Conflict of interest statement

Conflicts of Interest: The authors have no conflicts directly related to this paper, but MLR notes National Institute of Health and Center for Disease Control funding; fees from Medscape to provide talks about COVID; Board of Directors (volunteer) for GetUsPPE, a 501c3; and Chief Research Officer (volunteer) for American Foundation for Firearm Injury Reduction in Medicine Research, a 501c3.

©Emily R Kutok, Shira Dunsiger, John V Patena, Nicole R Nugent, Alison Riese, Rochelle K Rosen, Megan L Ranney. Originally published in JMIR Mental Health (https://mental.jmir.org), 15.09.2021.

Figures

Figure 1
Figure 1
Screenshot of the IMPACT (Intervention Media to Prevent Adolescent Cyber-Conflict Through Technology) “app”.
Figure 2
Figure 2
Participant recruitment flow through the IMPACT (Intervention Media to Prevent Adolescent Cyber-Conflict Through Technology) pilot trial.

References

    1. Anderson M, Jiang J. Pew Research Center. 2018. [2019-05-16].
    1. Álvarez-García D, Núñez JC, Barreiro-Collazo A, García T. Validation of the cybervictimization questionnaire (CYVIC) for adolescents. Comput Hum Behav. 2017 May;70:270–81. doi: 10.1016/j.chb.2017.01.007.
    1. Bottino SM, Bottino CM, Regina CG, Correia AV, Ribeiro WS. Cyberbullying and adolescent mental health: systematic review. Cad Saude Publica. 2015 Mar;31(3):463–75. doi: 10.1590/0102-311x00036114. S0102-311X2015000300463
    1. Messias E, Kindrick K, Castro J. School bullying, cyberbullying, or both: correlates of teen suicidality in the 2011 CDC Youth Risk Behavior Survey. Compr Psychiatry. 2014 Jul;55(5):1063–8. doi: 10.1016/j.comppsych.2014.02.005. S0010-440X(14)00025-X
    1. Hinduja S, Patchin JW. Bullying, cyberbullying, and suicide. Arch Suicide Res. 2010;14(3):206–21. doi: 10.1080/13811118.2010.494133.924722304
    1. Kowalski RM, Giumetti GW, Schroeder AN, Lattanner MR. Bullying in the digital age: a critical review and meta-analysis of cyberbullying research among youth. Psychol Bull. 2014 Jul;140(4):1073–137. doi: 10.1037/a0035618.2014-04307-001
    1. Rémond JJ, Kern L, Romo L. [A cyberbullying study: analysis of cyberbullying, comorbidities and coping mechanisms] Encephale. 2015 Sep;41(4):287–94. doi: 10.1016/j.encep.2014.08.003.S0013-7006(14)00172-9
    1. Smokowski PR, Evans CB, Cotter KL. The differential impacts of episodic, chronic, and cumulative physical bullying and cyberbullying: the effects of victimization on the school experiences, social support, and mental health of rural adolescents. Violence Vict. 2014;29(6):1029–46. doi: 10.1891/0886-6708.vv-d-13-00076.
    1. Schneider SK, O'Donnell L, Stueve A, Coulter RW. Cyberbullying, school bullying, and psychological distress: a regional census of high school students. Am J Public Health. 2012 Jan;102(1):171–7. doi: 10.2105/ajph.2011.300308.
    1. Sinclair KO, Bauman S, Poteat VP, Koenig B, Russell ST. Cyber and bias-based harassment: associations with academic, substance use, and mental health problems. J Adolesc Health. 2012 May;50(5):521–3. doi: 10.1016/j.jadohealth.2011.09.009.S1054-139X(11)00332-6
    1. Kann L, McManus T, Harris WA, Shanklin SL, Flint KH, Queen B, Lowry R, Chyen D, Whittle L, Thornton J, Lim C, Bradford D, Yamakawa Y, Leon M, Brener N, Ethier KA. Youth risk behavior surveillance - United States, 2017. MMWR Surveill Summ. 2018 Jun 15;67(8):1–114. doi: 10.15585/mmwr.ss6708a1.
    1. Aboujaoude E, Savage M, Starcevic V, Salame W. Cyberbullying: review of an old problem gone viral. J Adolesc Health. 2015 Jul;57(1):10–8. doi: 10.1016/j.jadohealth.2015.04.011.S1054-139X(15)00166-4
    1. Ybarra M, Mitchell K, Wolak J, Finkelhor D. Examining characteristics and associated distress related to internet harassment: findings from the second youth internet safety survey. Pediatrics. 2006 Oct;118(4):e1169–77. doi: 10.1542/peds.2006-0815.118/4/e1169
    1. Ybarra ML, Mitchell KJ. Online aggressor/targets, aggressors, and targets: a comparison of associated youth characteristics. J Child Psychol Psychiatry. 2004 Oct;45(7):1308–16. doi: 10.1111/j.1469-7610.2004.00328.x.JCPP328
    1. Mishna F, Cook C, Gadalla T, Daciuk J, Solomon S. Cyber bullying behaviors among middle and high school students. Am J Orthopsychiatry. 2010 Jul;80(3):362–74. doi: 10.1111/j.1939-0025.2010.01040.x.AJOP1040
    1. Juvonen J, Gross EF. Extending the school grounds?--Bullying experiences in cyberspace. J Sch Health. 2008 Sep;78(9):496–505. doi: 10.1111/j.1746-1561.2008.00335.x.JOSH335
    1. Elgar FJ, Napoletano A, Saul G, Dirks MA, Craig W, Poteat VP, Holt M, Koenig BW. Cyberbullying victimization and mental health in adolescents and the moderating role of family dinners. JAMA Pediatr. 2014 Nov;168(11):1015–22. doi: 10.1001/jamapediatrics.2014.1223.1900477
    1. Selkie E, Fales J, Moreno M. Cyberbullying prevalence among US middle and high school-aged adolescents: a systematic review and quality assessment. J Adolesc Health. 2016 Mar;58(2):125–33. doi: 10.1016/j.jadohealth.2015.09.026. S1054-139X(15)00382-1
    1. Peskin MF, Markham CM, Shegog R, Temple JR, Baumler ER, Addy RC, Hernandez B, Cuccaro P, Gabay EK, Thiel M, Emery ST. Prevalence and correlates of the perpetration of cyber dating abuse among early adolescents. J Youth Adolesc. 2017 Feb;46(2):358–75. doi: 10.1007/s10964-016-0568-1.10.1007/s10964-016-0568-1
    1. Mitchell KJ, Jones LM, Turner HA, Shattuck A, Wolak J. The role of technology in peer harassment: does it amplify harm for youth? Psychol Violence. 2016;6(2):193–204. doi: 10.1037/a0039317.
    1. Anderson M, Smith A, Rainie L, Jiang J, Hefferon M, Perrin A. A Majority of Teens Have Experienced Some Form of Cyberbullying. Pew Research Center. 2018. Oct, [2019-08-13].
    1. Bucchianeri MM, Gower AL, McMorris BJ, Eisenberg ME. Youth experiences with multiple types of prejudice-based harassment. J Adolesc. 2016 Aug;51:68–75. doi: 10.1016/j.adolescence.2016.05.012.S0140-1971(16)30047-1
    1. Bouris A, Everett BG, Heath RD, Elsaesser CE, Neilands TB. Effects of victimization and violence on suicidal ideation and behaviors among sexual minority and heterosexual adolescents. LGBT Health. 2016 Apr;3(2):153–61. doi: 10.1089/lgbt.2015.0037.
    1. Espelage DL, Hong JS. Cyberbullying prevention and intervention efforts: current knowledge and future directions. Can J Psychiatry. 2017 Jun;62(6):374–80. doi: 10.1177/0706743716684793.
    1. Schultze-Krumbholz A, Schultze M, Zagorscak P, Wölfer R, Scheithauer H. Feeling cybervictims' pain-the effect of empathy training on cyberbullying. Aggress Behav. 2016;42(2):147–56. doi: 10.1002/ab.21613.
    1. Garaigordobil M, Martínez-Valderrey V. Technological resources to prevent cyberbullying during adolescence: the cyberprogram 2.0 program and the cooperative cybereduca 2.0 videogame. Front Psychol. 2018;9:745. doi: 10.3389/fpsyg.2018.00745. doi: 10.3389/fpsyg.2018.00745.
    1. Jacobs NC, Völlink T, Dehue F, Lechner L. Online Pestkoppenstoppen: systematic and theory-based development of a web-based tailored intervention for adolescent cyberbully victims to combat and prevent cyberbullying. BMC Public Health. 2014 Apr 24;14:396. doi: 10.1186/1471-2458-14-396. 1471-2458-14-396
    1. Ranney ML, Pittman S, Riese A, Ybarra M, Huang J, Spirito A, Rosen R. Mobile health intervention development principles: lessons from an adolescent cyberbullying intervention. HICSS. 2018 Jan;:3329–38. doi: 10.24251/hicss.2018.422.
    1. Siry B, Betz M, Azrael D, Knoepke C, Simpson S, Omeragic F, Matlock D. A Pilot Trial of Suicidal Adults Within Emergency Departmentsnrollment Challenges and Strategies Related to Firearm Access Internet. New York, USA: Sage Publications; 2020.
    1. Kutok ER, Doria N, Dunsiger S, Patena JV, Nugent NR, Riese A, Rosen RK, Ranney ML. Feasibility and cost of using Instagram to recruit adolescents to a remote intervention. J Adolesc Health. 2021 May 28;:A. doi: 10.1016/j.jadohealth.2021.04.021. S1054-139X(21)00218-4
    1. Ramo DE, Rodriguez TM, Chavez K, Sommer MJ, Prochaska JJ. Facebook recruitment of young adult smokers for a cessation trial: methods, metrics, and lessons learned. Internet Interv. 2014 Apr;1(2):58–64. doi: 10.1016/j.invent.2014.05.001. S2214-7829(14)00010-4
    1. Guillory J, Wiant KF, Farrelly M, Fiacco L, Alam I, Hoffman L, Crankshaw E, Delahanty J, Alexander TN. Recruiting hard-to-reach populations for survey research: using Facebook and Instagram advertisements and in-person intercept in LGBT bars and nightclubs to recruit LGBT young adults. J Med Internet Res. 2018 Jun 18;20(6):e197. doi: 10.2196/jmir.9461. v20i6e197
    1. Kayrouz R, Dear BF, Karin E, Titov N. Facebook as an effective recruitment strategy for mental health research of hard to reach populations. Internet Interv. 2016 May;4:1–10. doi: 10.1016/j.invent.2016.01.001. S2214-7829(16)00002-6
    1. Moreno M, Waite A, Pumper M, Colburn T, Holm M, Mendoza J. Recruiting adolescent research participants: in-person compared to social media approaches. Cyberpsychol Behav Soc Netw. 2017 Jan;20(1):64–7. doi: 10.1089/cyber.2016.0319.
    1. Webb M, Burns J, Collin P. Providing online support for young people with mental health difficulties: challenges and opportunities explored. Early Interv Psychiatry. 2008 May;2(2):108–13. doi: 10.1111/j.1751-7893.2008.00066.x.
    1. Loades ME, Chatburn E, Higson-Sweeney N, Reynolds S, Shafran R, Brigden A, Linney C, McManus M, Borwick C, Crawley E. Rapid systematic review: the impact of social isolation and loneliness on the mental health of children and adolescents in the context of covid-19. J Am Acad Child Adolesc Psychiatry. 2020 Nov;59(11):1218–39.e3. doi: 10.1016/j.jaac.2020.05.009. S0890-8567(20)30337-3
    1. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009 Apr;42(2):377–81. doi: 10.1016/j.jbi.2008.08.010. S1532-0464(08)00122-6
    1. Harris K, Halpern C, Whitsel E. Study Design - Add Health. The National Longitudinal Study of Adolescent Health: Research Design. 2009. [2020-09-15].
    1. Protection of Human Subjects. US Department of Health and Human Services. 2009. [2020-11-05]. .
    1. Santelli J. Guidelines for adolescent health research, a position paper of the society for adolescent medicine. J Adol Health. 2003 Nov;33(5):396–409. doi: 10.1016/j.jadohealth.2003.06.009.
    1. Ranney ML, Choo EK, Cunningham RM, Spirito A, Thorsen M, Mello MJ, Morrow K. Acceptability, language, and structure of text message-based behavioral interventions for high-risk adolescent females: a qualitative study. J Adolesc Health. 2014 Jul;55(1):33–40. doi: 10.1016/j.jadohealth.2013.12.017. S1054-139X(13)00840-9
    1. Ranney ML, Patena JV, Nugent N, Spirito A, Boyer E, Zatzick D, Cunningham R. PTSD, cyberbullying and peer violence: prevalence and correlates among adolescent emergency department patients. Gen Hosp Psychiatry. 2016;39:32–8. doi: 10.1016/j.genhosppsych.2015.12.002. S0163-8343(15)00266-2
    1. Bandura A. Social cognitive theory: an agentic perspective. Annu Rev Psychol. 2001;52:1–26.
    1. Ranney ML, Pittman SK, Dunsiger S, Guthrie KM, Spirito A, Boyer EW, Cunningham RM. Emergency department text messaging for adolescent violence and depression prevention: a pilot randomized controlled trial. Psychol Serv. 2018 Nov;15(4):419–28. doi: 10.1037/ser0000193. 2018-53824-006
    1. Jones LM, Mitchell KJ. Defining and measuring youth digital citizenship. New Med Soc. 2016 Jul 9;18(9):2063–79. doi: 10.1177/1461444815577797.
    1. Ybarra ML, Espelage DL, Mitchell KJ. Differentiating youth who are bullied from other victims of peer-aggression: the importance of differential power and repetition. J Adolesc Health. 2014 Aug;55(2):293–300. doi: 10.1016/j.jadohealth.2014.02.009. S1054-139X(14)00089-5
    1. Elipe P, Mora-Merchán JA, Nacimiento L. Development and validation of an instrument to assess the impact of cyberbullying: the cybervictimization emotional impact scale. Cyberpsychol Behav Soc Netw. 2017 Aug;20(8):479–85. doi: 10.1089/cyber.2017.0069.
    1. Brooke J. SUS: a 'quick and dirty' usability scale. In: Jordan PW, Thomas B, McClelland IL, Weerdmeester B, editors. Usability Scale. London, UK: CRC Press; 1996. Jun 11, pp. 207–212.
    1. Best Practices for Asking Questions to Identify Transgender and Other Gender Minority Respondents on Population-Based Surveys. The Williams Institute. 2014. [2021-06-29]. .
    1. Transgender Health: Data Requirements/Policy Implications. Centers for Disease Control and Prevention. 2012. [2021-06-29]. .
    1. Use of Well-Being Measures in Primary Health Care. Regional Office for Europe WHO. 1998. [2020-10-28]. .
    1. Blom EH, Bech P, Högberg G, Larsson JO, Serlachius E. Screening for depressed mood in an adolescent psychiatric context by brief self-assessment scales-testing psychometric validity of WHO-5 and BDI-6 indices by latent trait analyses. Health Qual Life Outcomes. 2012 Dec 11;10:149. doi: 10.1186/1477-7525-10-149. 1477-7525-10-149
    1. Hall T, Krahn G, Horner-Johnson W, Lamb G, Rehabilitation ResearchTraining Center Expert Panel on Health Measurement Examining functional content in widely used health-related quality of life scales. Rehabil Psychol. 2011 May;56(2):94–9. doi: 10.1037/a0023054.2011-09991-002
    1. Bevans KB, Gardner W, Pajer K, Riley AW, Forrest CB. Qualitative development of the PROMIS(R) pediatric stress response item banks. J Pediatr Psychol. 2013 Mar;38(2):173–91. doi: 10.1093/jpepsy/jss107. jss107
    1. Bevans K, Gardner W, Pajer K, Becker B, Carle A, Tucker C, Forrest C. Psychometric evaluation of the PROMIS® pediatric psychological and physical stress experiences measures. J Pediatr Psychol. 2018 Jul 1;43(6):678–92. doi: 10.1093/jpepsy/jsy010. 4912417
    1. Forrest CB, Ravens-Sieberer U, Devine J, Becker BD, Teneralli RE, Moon J, Carle AC, Tucker CA, Bevans KB. Development and evaluation of the PROMIS® pediatric positive affect item bank, child-report and parent-proxy editions. J Happiness Stud. 2018 Mar;19(3):699–718. doi: 10.1007/s10902-016-9843-9.
    1. Canty-Mitchell J, Zimet GD. Psychometric properties of the multidimensional scale of perceived social support in urban adolescents. Am J Community Psychol. 2000 Jun;28(3):391–400. doi: 10.1023/A:1005109522457.10.1023/A:1005109522457
    1. Zimet GD, Powell SS, Farley GK, Werkman S, Berkoff KA. Psychometric characteristics of the multidimensional scale of perceived social support. J Pers Assess. 1990;55(3-4):610–7. doi: 10.1080/00223891.1990.9674095.
    1. Zimet GD, Dahlem NW, Zimet SG, Farley GK. The multidimensional scale of perceived social support. J Pers Assess. 1988 Mar;52(1):30–41. doi: 10.1207/s15327752jpa5201_2.
    1. Cunningham RM, Whiteside LK, Chermack ST, Zimmerman MA, Shope JT, Bingham CR, Blow FC, Walton MA. Dating violence: outcomes following a brief motivational interviewing intervention among at-risk adolescents in an urban emergency department. Acad Emerg Med. 2013 Jun;20(6):562–9. doi: 10.1111/acem.12151. doi: 10.1111/acem.12151.
    1. Brener N, Kann L, Kinchen S, Grunbaum J, Whalen L, Eaton D, Hawkins J, Ross J. Methodology of the youth risk behavior surveillance system. MMWR Recomm Rep. 2004 Sep 24;53(RR-12):1–13. rr5312a1
    1. Dahlberg L, Toal S, Swahn M, Behrens C. Measuring Violence-Related Attitudes, Behaviors, and Influences among Youths: A Compendium of Assessment Tools. Second Edition. Education Resources Information Center. 2005. [2020-10-28]. .
    1. Espelage DL, Holt MK. Bullying and victimization during early adolescence. J Emotion Abuse. 2001 Mar;2(2-3):123–42. doi: 10.1300/j135v02n02_08.
    1. Smith J, Firth J. Qualitative data analysis: application of the framework approach. Nurse Res. 2011;18(2):52–62. doi: 10.7748/nr2011.01.18.2.52.c8284.
    1. Gale NK, Heath G, Cameron E, Rashid S, Redwood S. Using the framework method for the analysis of qualitative data in multi-disciplinary health research. BMC Med Res Methodol. 2013 Sep 18;13:117. doi: 10.1186/1471-2288-13-117. 1471-2288-13-117
    1. Arigo D, Pagoto S, Carter-Harris L, Lillie S, Nebeker C. Using social media for health research: methodological and ethical considerations for recruitment and intervention delivery. Digit Health. 2018;4:2055207618771757. doi: 10.1177/2055207618771757. 10.1177_2055207618771757
    1. Hoermann S, McCabe KL, Milne DN, Calvo RA. Application of synchronous text-based dialogue systems in mental health interventions: systematic review. J Med Internet Res. 2017 Jul 21;19(8):e267. doi: 10.2196/jmir.7023. v19i8e267
    1. Bruehlman-Senecal E, Hook C, Pfeifer J, FitzGerald C, Davis B, Delucchi K, Haritatos J, Ramo D. Smartphone app to address loneliness among college students: pilot randomized controlled trial. JMIR Ment Health. 2020 Oct 20;7(10):e21496. doi: 10.2196/21496. v7i10e21496

Source: PubMed

3
Subscribe