Cited by 318Bullying, Victimization, and AggressionImpact of Technology on AdolescentsHate Speech and Cyberbullying Detection

Cyberbullying Prevalence Among US Middle and High School–Aged Adolescents: A Systematic Review and Quality Assessment

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Selkie, Ellen M., Fales, Jessica L., Moreno, Megan A.·2016·Journal of Adolescent Health

Abstract

Purpose Cyberbullying (CB) has established links to physical and mental health problems including depression, suicidality, substance use, and somatic symptoms. Quality reporting of CB prevalence is essential to guide evidence-based policy and prevention priorities. The purpose of this systematic review was to investigate study quality and reported prevalence among CB research studies conducted in populations of US adolescents of middle and high school age.Methods Searches of peer-reviewed literature published through June 2015 for "CB" and related terms were conducted using PubMed, PsycINFO, CINAHL Plus, and Web of Science. Included manuscripts reported CB prevalence in general populations of US adolescents between the ages of 10 and 19 years. Using a review tool based on the Strengthening the Reporting of Observational Studies in Epidemiology statement, reviewers independently scored study quality on study methods, results reporting, and reported prevalence.Results Search results yielded 1,447 manuscripts; 81 manuscripts representing 58 unique studies were identified as meeting inclusion criteria. Quality scores ranged between 12 and 37 total points of a possible 42 points (mean = 26.7, standard deviation = 4.6). Prevalence rates of CB ranged as follows: Perpetration, 1%-41%; victimization, 3%-72%; and overlapping perpetration and victimization, 2.3%-16.7%.Conclusions Literature on CB in US middle and high school-aged students is robust in quantity but inconsistent in quality and reported prevalence. Consistent definitions and evidence-based measurement tools are needed.

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  1. [5]Smith PK Slonje R Cyberbullying: The nature and extent of a new kind of bullying, in and out of school Handbook of bullying in schools: An international perspective [e-book] New York, NY, US Routledge/Taylor & Francis Group 2010 249 262
  2. [1]Allen KP Off the radar and ubiquitous: Text messaging and its relationship to ‘drama’ and cyberbullying in an affluent, academically rigorous US high school Journal of Youth Studies 2012 15 1 99 117
  3. [2]Ang RP Huan VS Florell D Understanding the Relationship Between Proactive and Reactive Aggression, and Cyberbullying Across United States and Singapore Adolescent Samples Journal of Interpersonal Violence 2013 29 2 237 254 24106145
  4. [3]Barboza GE The association between school exclusion, delinquency and subtypes of cyber- and F2F-victimizations: Identifying and predicting risk profiles and subtypes using latent class analysis Child abuse & neglect 2015 39 109 122 25194718
  5. [4]Bauman S Cyberbullying in a rural intermediate school: An exploratory study The Journal of Early Adolescence 2010 30 6 803 833
  6. [7]Byrne S Katz SJ Lee T Linz D McIlrath M Peers, Predators, and Porn: Predicting Parental Underestimation of Children’s Risky Online Experiences Journal of Computer-Mediated Communication 2014 19 2 215 231
  7. [9]Elgar FJ Napoletano A Saul G Cyberbullying victimization and mental health in adolescents and the moderating role of family dinners JAMA pediatrics 2014 168 11 1015 1022 25178884
  8. [11]Gan SS Zhong C Das S Gan JS Willis S Tully E The prevalence of bullying and cyberbullying in high school: a 2011 survey Int J Adolesc Med Health 2013 1 5 23337050
  9. [12]Gibson-Young L Martinasek MP Clutter M Forrest J Are students with asthma at increased risk for being a victim of bullying in school or cyberspace? Findings from the 2011 Florida youth risk behavior survey The Journal of school health 2014 84 7 429 434 24889079
  10. [13]Goebert D Else I Matsu C Chung-Do J Chang JY The impact of cyberbullying on substance use and mental health in a multiethnic sample Matern Child Health J 2011 15 8 1282 1286 20824318
  11. [15]Hinduja S Patchin JW Social influences on cyberbullying behaviors among middle and high school students J Youth Adolesc 2013 42 5 711 722 23296318
  12. [16]Holt TJ Turner MG Exum ML The impact of self control and neighborhood disorder on bullying victimization Journal of Criminal Justice 2014 42 4 347 355
  13. [17]Johnson RM Kidd JD Dunn EC Green JG Corliss HL Bowen D Associations Between Caregiver Support, Bullying, and Depressive Symptomatology Among Sexual Minority and Heterosexual Girls: Results From the 2008 Boston Youth Survey Journal of School Violence 2011 10 2 185 200 22707917 PMC3375119
  14. [18]Juvonen J Gross E Extending the school grounds?--Bullying experiences in cyberspace Journal of School Health 2008 78 9 496 505 18786042
  15. [19]Kessel Schneider S O’Donnell L Stueve A Coulter RWS Cyberbullying, school bullying, and psychological distress: A regional census of high school students American journal of public health 2012 102 1 171 177 22095343 PMC3490574
  16. [20]Khurana A Bleakley A Jordan AB Romer D The protective effects of parental monitoring and Internet restriction on adolescents’ risk of online harassment Journal of Youth and Adolescence 2015 44 5 1039 1047 25504217
  17. [21]Kowalski RM Limber SP Electronic bullying among middle school students J Adolesc Health 2007 41 6 Suppl 1 S22 30 18047942
  18. [23]Kowalski RM Limber SP Psychological, physical, and academic correlates of cyberbullying and traditional bullying J Adolesc Health 2013 53 1 Suppl S13 20 23790195
  19. [24]Litwiller BJ Brausch AM Cyber bullying and physical bullying in adolescent suicide: the role of violent behavior and substance use J Youth Adolesc 2013 42 5 675 684 23381779
  20. [25]Mesch G Parental mediation, online activities, and cyberbullying Cyberpsychology & behavior: the impact of the Internet, multimedia and virtual reality on behavior and society 2009 12 4 387 393 19630583
  21. [26]Messias E Kindrick K Castro J School bullying, cyberbullying, or both: correlates of teen suicidality in the 2011 CDC Youth Risk Behavior Survey Comprehensive psychiatry 2014 55 5 1063 1068 24768228 PMC4136518
  22. [29]Peleg-Oren N Cardenas GA Comerford M Galea S An association between bullying behaviors and alcohol use among middle school students The Journal of Early Adolescence 2012 32 6 761 775
  23. [31]Pergolizzi F Richmond D Macario S Gan Z Richmond C Macario E Bullying in middle schools: results from a four-school survey Journal of School Violence 2009 8 3 264 279
  24. [32]Pergolizzi F Pergolizzi J 3rd Gan Z Bullying in middle school: results from a 2008 survey Int J Adolesc Med Health 2011 23 1 11 18 21721358
  25. [34]Raskauskas J Stoltz A Involvement in traditional and electronic bullying among adolescents Developmental Psychology 2007 43 3 564 575 17484571
  26. [35]Rice E Petering R Rhoades H Cyberbullying perpetration and victimization among middle-school students American Journal of Public Health 2015 105 3 e66 e72 25602905 PMC4330864
  27. [36]Roberto AJ Eden J Savage MW Ramos-Salazar L Deiss DM Outcome Evaluation Results of School-Based Cybersafety Promotion and Cyberbullying Prevention Intervention for Middle School Students Health Communication 2014 29 10 1029 1042 24446820
  28. [37]Sontag LM Clemans KH Graber JA Lyndon ST Traditional and cyber aggressors and victims: a comparison of psychosocial characteristics J Youth Adolesc 2011 40 4 392 404 20680425
  29. [38]Steiner RJ Rasberry CN Brief report: Associations between in-person and electronic bullying victimization and missing school because of safety concerns among U.S. high school students Journal of adolescence 2015 43 1 4 26043166 PMC9125422
  30. [39]Stewart RW Drescher CF Maack DJ Ebesutani C Young J The Development and Psychometric Investigation of the Cyberbullying Scale J Interpers Violence 2014 29 12 2218 2238 24424252
  31. [40]Turner MG Exum ML Brame R Holt TJ Bullying victimization and adolescent mental health: General and typological effects across sex Journal of Criminal Justice 2013 41 1 53 59
  32. [41]Turner HA Finkelhor D Shattuck A Hamby S Mitchell K Beyond Bullying: Aggravating Elements of Peer Victimization Episodes School Psychology Quarterly 2014 25330389
  33. [42]Werner NE Bumpus MF Rock D Involvement in internet aggression during early adolescence J Youth Adolesc 2010 39 6 607 619 20422350
  34. [44]Williams KR Guerra NG Prevalence and predictors of internet bullying J Adolesc Health 2007 41 6 Suppl 1 S14 21 18047941
  35. [45]Yahner J Dank M Zweig JM Lachman P The co-occurrence of physical and cyber dating violence and bullying among teens Journal of Interpersonal Violence 2015 30 7 1079 1089 25038223
  36. [46]Wang J Iannotti RJ Nansel TR School bullying among adolescents in the United States: physical, verbal, relational, and cyber J Adolesc Health 2009 45 4 368 375 19766941 PMC2751860
  37. [47]Wang J Iannotti RJ Luk JW Nansel TR Co-occurrence of victimization from five subtypes of bullying: physical, verbal, social exclusion, spreading rumors, and cyber J Pediatr Psychol 2010 35 10 1103 1112 20488883 PMC2980945
  38. [48]Wang J Iannotti RJ Luk JW Bullying victimization among underweight and overweight U.S. youth: differential associations for boys and girls J Adolesc Health 2010 47 1 99 101 20547298 PMC2887712
  39. [49]Wang J Nansel TR Iannotti RJ Cyber and traditional bullying: differential association with depression J Adolesc Health 2011 48 4 415 417 21402273 PMC3058261
  40. [50]Wang J Iannotti RJ Luk JW Patterns of adolescent bullying behaviors: physical, verbal, exclusion, rumor, and cyber J Sch Psychol 2012 50 4 521 534 22710019 PMC3379007
  41. [51]Bevans KB Bradshaw CP Waasdorp TE Gender bias in the measurement of peer victimization: An application of item response theory Aggressive Behavior 2013 39 5 370 380 23740871
  42. [52]Bradshaw CP Waasdorp TE O’Brennan LM A Latent Class Approach to Examining Forms of Peer Victimization Journal of Educational Psychology 2013 105 3 839 849 25414522 PMC4235230
  43. [53]Bradshaw CP Waasdorp TE Johnson SL Overlapping verbal, relational, physical, and electronic forms of bullying in adolescence: Influence of school context Journal of Clinical Child and Adolescent Psychology 2015 44 3 494 508 24738548
  44. [54]Waasdorp TE Bradshaw CP The overlap between cyberbullying and traditional bullying Journal of Adolescent Health 2015 56 5 483 488 25631040
  45. [56]Dempsey AG Sulkowski ML Dempsey J Storch EA Has cyber technology produced a new group of peer aggressors? Cyberpsychol Behav Soc Netw 2011 14 5 297 302 21162661
  46. [58]Sengupta A Chaudhuri A Are social networking sites a source of online harassment for teens? Evidence from survey data Children and Youth Services Review 2011 33 2 284 290
  47. [59]Hinduja S Patchin JW Bullying, cyberbullying, and suicide Arch Suicide Res 2010 14 3 206 221 20658375
  48. [60]Patchin JW Hinduja S Cyberbullying and self-esteem J Sch Health 2010 80 12 614 621 quiz 622–614 21087257
  49. [62]Mitchell KJ Finkelhor D Wolak J Ybarra ML Turner H Youth Internet victimization in a broader victimization context J Adolesc Health 2011 48 2 128 134 21257110
  50. [63]Turner HA Finkelhor D Hamby SL Shattuck A Ormrod RK Specifying type and location of peer victimization in a national sample of children and youth J Youth Adolesc 2011 40 8 1052 1067 21373905
  51. [64]Ybarra ML Mitchell KJ Wolak J Finkelhor D Examining characteristics and associated distress related to Internet harassment: findings from the Second Youth Internet Safety Survey Pediatrics 2006 118 4 e1169 1177 17015505
  52. [65]Randa R The influence of the cyber-social environment on fear of victimization: Cyberbullying and school Security Journal 2013 26 4 331 348
  53. [67]Ybarra ML Espelage DL Mitchell KJ The co-occurrence of Internet harassment and unwanted sexual solicitation victimization and perpetration: associations with psychosocial indicators J Adolesc Health 2007 41 6 Suppl 1 S31 41 18047943
  54. [68]Ybarra ML Diener-West M Leaf PJ Examining the overlap in internet harassment and school bullying: implications for school intervention J Adolesc Health 2007 41 6 Suppl 1 S42 50 18047944
  55. [69]Ybarra ML Mitchell KJ Korchmaros JD National trends in exposure to and experiences of violence on the Internet among children Pediatrics 2011 128 6 e1376 1386 22106074
  56. [70]Korchmaros JD Mitchell KJ Ybarra ML Technology-based interpersonal victimization: Predictors of patterns of victimization over time Journal of Interpersonal Violence 2014 29 7 1297 1317 24269990
  57. [71]Ybarra ML Espelage DL Mitchell KJ Differentiating youth who are bullied from other victims of peer-aggression: The importance of differential power and repetition Journal of Adolescent Health 2014 55 2 293 300 24726463 PMC4112942
  58. [72]Mitchell KJ Finkelhor D Wolak J Victimization of Youths on the Internet Journal of Aggression, Maltreatment & Trauma 2003 8 1–2 1 39
  59. [73]Mitchell KJ Ybarra M Finkelhor D The relative importance of online victimization in understanding depression, delinquency, and substance use Child Maltreat 2007 12 4 314 324 17954938
  60. [74]Ybarra ML Mitchell KJ Online aggressor/targets, aggressors, and targets: a comparison of associated youth characteristics J Child Psychol Psychiatry 2004 45 7 1308 1316 15335350
  61. [76]Ybarra ML Linkages between depressive symptomatology and Internet harassment among young regular Internet users Cyberpsychol Behav 2004 7 2 247 257 15140367
  62. [77]Wells M Mitchell KJ How do high-risk youth use the Internet? Characteristics and implications for prevention Child Maltreat 2008 13 3 227 234 18349302
  63. [78]Wolak J Mitchell KJ Finkelhor D Does online harassment constitute bullying? An exploration of online harassment by known peers and online-only contacts J Adolesc Health 2007 41 6 Suppl 1 S51 58 18047945
  64. [79]Ybarra ML Mitchell KJ Prevalence and frequency of Internet harassment instigation: implications for adolescent health J Adolesc Health 2007 41 2 189 195 17659224
  65. [80]Jones LM Mitchell KJ Finkelhor D Online harassment in context: Trends from three Youth Internet Safety Surveys (2000, 2005, 2010) Psychology of Violence 2013 3 1 53 69
  66. [81]Tynes BM Mitchell KJ Black Youth Beyond the Digital Divide: Age and Gender Differences in Internet Use, Communication Patterns, and Victimization Experiences Journal of Black Psychology 2014 40 3 291 307

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Authors
Selkie, E. M., Fales, J. L., & Moreno, M. A.
Affiliations
  • Seattle Children's Hospital (US)
  • Washington State University Vancouver (US)
Corresponding author
Selkie, Ellen M.
Venue
Journal of Adolescent Health
Publisher
Elsevier BV
Published
2016-02
Volume
58
Issue
2
Pages
125-133
ISSN
1054-139X (ISSN-L)
OpenAlex
W2264177151
Cited by
318
References
98
Citations by year
2026: 14 · 2025: 21 · 2024: 28 · 2023: 36 · 2022: 37 · 2021: 35 · 2020: 33 · 2019: 35 · 2018: 47 · 2017: 19 · 2016: 13
FWCI
4.10
Type
journal article
Language
en
Open access
Locations
  • Journal of Adolescent Health (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health (2t32mh020021-26)
  • National Institute of Mental Health (T-32MH020021, 2T32MH020021-16)
Topics
  • Social Sciences › Psychology › Social Psychology › Bullying, Victimization, and Aggression
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Physical Sciences › Computer Science › Artificial Intelligence › Hate Speech and Cyberbullying Detection
Keywords
cyberbullying, prevalence, adolescents, junior high school students, high school students, cyberbullying perpetration, cyber victimization, study quality, reporting quality
MeSH terms
Humans, Students, United States, Prevalence, Crime Victims, Internet, Bullying, Observational Studies as Topic

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