Cyberbullying and adolescent mental health


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  • What are some assumptions we have about technology?Maybe that all children and adolescents are online?That they are all on Face book and Twitter?And constantly text messaging?Let’s see..
  • What are your assumptions about CyberBullying?Maybe that everyone is involved / it’s impossible to be online and not be involved?That it’s terribly upsetting to youth that are victimizedThat it’s part of an inescapable experience that bleeds from school to text to online?Maybe that it’s getting worse – more frequent, more intense
  • 1739 / 3989 13-18 year olds report some type of bullying in the past year(44%)1) The majority of youth are *not* bullied across any of these modes2) the biggest % of bullied youth are bullied through one mode
  • Among the 83% who say they are bullied at home and online, 92% say this is the only place they are bullied (6% are bullied here and another environment, 2% are bullied in 3 of the 4 places)
  • Not asked in 2006
  • Concurrent behavior and psychosocial problems have been noted
  • Cyberbullying and adolescent mental health

    1. 1. Rutgers University Symposium:Identity, Connectedness, and Threat in SocialNetworks: Adolescent and Young Adult Use andMisuse of New MediaNovember 14, 2011, Piscataway, NJPanel Discussion in: Cyberbullying, OnlineDisinhibition, and Interpersonal Interactions in OnlineCommunities: Consequences for Youth and YoungAdultsCyberbullying and Adolescent Mental HealthMichele Ybarra MPH PhDCenter for Innovative Public Health Research* Thank you for your interest in thispresentation. Please note that analyses includedherein are preliminary. More recent, finalized analysesmay be available by contacting CiPHR for furtherinformation.
    2. 2. Technology is ubiquitousImage from:
    3. 3. Online activity
    4. 4. Technology is ubiquitous:RecapMost children and adolescents areonline (93%) – but not all are (7% arenot)Many (73%) are on Face book andother social network sites But very few (8%) are tweeting Constantly text messaging? YES 72% of teens text; at an average of 112texts per day
    5. 5. CyberBullying is everywhereImage from:
    6. 6. Growing up with MediasurveyThe data we will be discussing today largelycome from the Growing up with Media survey: Longitudinal design: Fielded 2006, 2007, 2008 Data collected online National sample (United States) Households randomly identified from the 4 million-member Harris Poll OnLine (HPOL) Sample selection was stratified based on youthage and sex. Data were weighted to match the US population ofadults with children between the ages of 10 and 15years and adjust for the propensity of adult to beonline and in the HPOL.
    7. 7. Eligibility criteria Youth:◦ Between the ages of 10-15 years◦ Use the Internet at least once in the last 6 months◦ Live in the household at least 50% of the time◦ English speaking Adult:◦ Be a member of the Harris Poll Online (HPOL) opt-inpanel◦ Be a resident in the USA (HPOL has membersinternationally)◦ Be the most (or equally) knowledgeable of the youth‟smedia use in the home◦ English speaking
    8. 8. Youth Demographic Characteristics2006(n=1,577)2007(n=1189)2008(n=1149)Female 50% 50% 51%Age (SE) 12.6 (0.05) 13.7 (0.05) 14.5 (0.05)Hispanic ethnicity 18% 17% 17%Race: White 70% 72% 72%Race: Black / AfricanAmerican15% 13% 14%Race: Mixed race 7% 9% 9%Race: Other 8% 6% 6%Household less than$35,00025% 24% 25%Internet use 1 hour+ perday47% 49% 52%
    9. 9. Teen Health and TechnologySurvey Online survey Conducted between August 4, 2010 toJanuary 17, 2011 Youth recruited through the Harris Poll Online(HPOL) opt-in panel:◦ 13 to 18 year olds directly◦ Adults with a 13 to 17 year old in theirhousehold◦ Adults with a child under 18 in their household◦ A general population of adults Median survey length was 23 minutes Response rate: 7.2%
    10. 10. Eligibility criteria U.S. resident Ages 13 to 18 In 5th grade or above; and Assent to participate in the survey◦ Parental permission requirementswaived Valid responses: >5 minutesurvey, age confirmation atbeginning and end of the survey
    11. 11. Sample characteristics(n=3,777) Demographic characteristics◦ Mean age: 15.7 years (SE: 0.07; Range: 13-18 years)◦ 77% White, 13% Hispanic◦ 57% Female◦ 39% Suburban setting, 28% urban, 33%small town◦ 60% household income „similar‟ to otherpeople‟s 85% attend public school
    12. 12. The definition of bullyingWe follow Olweus‟ definition, which says that bullyingis a specific type of aggression that occurs: Between two people of differential power Over time RepeatedlyBullying can happen through any mode (online, in-person)And in any environment (at school, at home)We tend to talk about different types: Physical (e.g., hitting, kicking) Relational (e.g., social exclusion) Verbal (e.g., threatening and aggressivecomments)
    13. 13. Past-year rates of bullyingamong 13-18 year olds, by type(n=3777)16%40%38%29%34%16%0% 10% 20% 30% 40% 50%Some otherwayMean namesNasty teasingSocialexclusionRumorsHitting, kicking,pushing, or…Data are from the Teen Health and Technology study
    14. 14. Past-year rates of bullyingamong 13-18 year olds, by mode(n=3777)10%10%13%17%38%0% 10% 20% 30% 40% 50%Some otherwayBy phoneTextmessageOnlineIn-personData are from the Teen Health and Technology study
    15. 15. Cyberbullying is inescapable(?)56%21%11%6%3% 3%# of different modes one is bullied inNo bullying1 mode2 modes3 modes4 modesall 5 modesTeen Health and Technology (n=3,777)
    16. 16. Cyberbullying is inescapable(?)15%83%4% 7%0%20%40%60%80%% of youth reportingbeing bullied online92%6%2%# of differentenvironments one isbullied among thosebullied online1 2 3Data are from Teen Health and Technology(n=3,777)
    17. 17. A comparison of distress among youthbullied across environments and modes35% 38%16% 15%23%33%35%39%0%10%20%30%40%50%60%70%80%Bullied 12-15 y.o. All bullied youthSchoolInternetPhoneOn the way to and from scholDistress = very or extremely upset about self-defined most “serious” timeData are from Growing up with Media 2007 and 2008, sample sizes vary based upon n reporting eachexperience
    18. 18. Suicidal ideation based upon past-yearbullying experiences15%37%24%35%61%28%0% 20% 40% 60% 80% 100%Suicidal ideation in the past 2weeksNo suicidal ideation in the past 2weeksNo bullyingInfrequent bullyingFrequent bullyingTeen Health and Technology Study, LGBQ comparative data (n=5542)
    19. 19. Relative odds of current suicidalideation given past year bullyingexperiences0.8 youth Questioning, unsureyouthBisexual youth Gay, lesbian, queeryouthNo bullying Infrequent bullying Frequent bullyingTeen Health and Technology Study, LGBQ comparative data (n=5542)
    20. 20. Psychosocial issues for victims Interpersonal victimization / bullying offline(Ybarra, Mitchell, Espelage, 2007;Ybarra, Mitchell, Wolak, Finkelhor, 2006; Ybarra, 2004) Depressive symptomatology and suicidalideation (Ybarra, 2004; Mitchell, Finkelhor, Wolak, 2000; TheBerkman Center for Internet & Society, 2008; Hinduja & Patchin, inpress) Alcohol use (Ybarra, Mitchell, Espelage, 2007) Social problems (Ybarra, Mitchell, Wolak, Finkelhor, 2006) School behavior problems (Ybarra, Diener-West, Leaf, 2007) Poor caregiver-child relationships (Ybarra, Diener-West, Leaf, 2007)
    21. 21. Psychosocial issues forperpetrators Interpersonal victimization and perpetration(bullying) offline (Ybarra, Mitchell, Espelage, 2007; Ybarra &Mitchell, 2007; Ybarra & Mitchell, 2004) Aggression / rule breaking(Ybarra, Mitchell, Espelage, 2007; Ybarra & Mitchell, 2007) Binge drinking (Ybarra, Mitchell, Espelage, 2007) Substance use (Ybarra, Mitchell, Espelage, 2007; Ybarra &Mitchell, 2007) Poor caregiver child relationship(Ybarra, Mitchell, Espelage, 2007; Ybarra & Mitchell, 2004; Ybarra &Mitchell, 2007) Low school commitment (Ybarra & Mitchell, 2004)
    22. 22. CyberBullying: Recap• More than 4 in 5 youthwho use the Internetare *not* cyberbulliedCyberbullying(bullyingonline) affectsbetween 15-17% of youtheach year• For a concerningminority (12%), bullyingis ubiquitous (inperson, online, via text)Bullying ismostcommonly anin-personexperience.
    23. 23. CyberBullying: Recap• 5 out of 6 cyberbullied youth are lessaffectedAbout 1/6 ofcyberbullied youthare very orextremely upset• Frequent bullying may be particularlyharmful for LGB youthBullying is relatedto suicidal ideation• More than twice as many youth bulliedat school (38%) are distress comparedto those bullied online (15%)Cyberbullying isnot moredistressing than in-person bullying
    24. 24. Prevention musingsInternet versus school-basedprograms• Motivated versus captive audiencesPrograms for bullies versusbullied youth• Behavior change versuspsychosocial support
    25. 25.
    26. 26. AcknowledgementsGrowing up with Media: This survey was supported by CooperativeAgreement number U49/CE000206 from the Centers for DiseaseControl and Prevention (CDC). The contents of this presentation aresolely the responsibility of the authors and do not necessarily representthe official views of the CDC. I would like to thank the entire Growing upwith Media Study team from Center for Innovative Public HealthResearch, Harris Interactive, Johns Hopkins Bloomberg School ofPublic Health, and the CDC, who contributed to the planning andimplementation of the study. Finally, we thank the families for their timeand willingness to participate in this study.Teen Health and Technology : The project described was supportedby Award Number R01 HD057191 from the National Institute of ChildHealth and Human Development. The content is solely the responsibilityof the authors and does not necessarily represent the official views ofthe National Institute of Child Health and Human Development or theNational Institutes of Health. We would like to thank the entire Studyteam from Internet Solutions for Kids, the University of NewHampshire, the Gay Lesbian Straight Education Network(GLSEN), Labtrobe University, and Harris Interactive, who contributedto the planning and implementation of the study. Finally, we thank thestudy participants for their time and willingness to participate in thisstudy.