Longitudinal and Reciprocal Relations of Cyberbullying With Depression, Substance Use, and Problematic Internet Use Among Adolescents.

Psychology Department of Personality, Assessment and Treatment, University of Deusto, Vizcaya, Spain. Electronic address: .
Journal of Adolescent Health (Impact Factor: 2.75). 05/2013; DOI: 10.1016/j.jadohealth.2013.03.030
Source: PubMed

ABSTRACT PURPOSE: To analyze the temporal and reciprocal relationships between being a victim of cyberbullying (CB) and three frequent problems during adolescence: depressive symptoms, substance use, and problematic Internet use; also, to analyze whether the relationship between CB and these psychological and behavioral health problems differs as a function of being only a victim or being both bully and victim. METHOD: A total of 845 adolescents (mean age = 15.2, SD = 1.2) completed measures at T1 and at T2, 6 months apart. The relationship among variables was analyzed using structural equation modeling. RESULTS: CB victimization at T1 predicted depressive symptoms and problematic Internet use at T2, and higher depressive symptoms and more substance use at T1 predicted more CB victimization at T2. However, the relationships of CB predicting substance use and problematic Internet use predicting CB were not significant. Bully-victims presented higher levels than victims of all three problem variables, both at T1 and T2. CONCLUSIONS: CB is predictive of some significant psychological and behavioral health problems among adolescents. Intervention efforts should pay attention to these in the prevention and treatment of consequences of CB.

  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Page 1 Societies 2015, 5, 109–135; doi:10.3390/soc5010109 societies ISSN Traditional, Cyber and Combined Bullying Roles: Differences inRisky Online and Offline Activities Sebastian Wachs 1,*, Marianne Junger 2 and Ruthaychonee Sittichai 3 1 Department of Educational Studies, University of Bremen, Bibliothekstr. 1-3, 28359 Bremen, Germany 2 Industrial Engineering and Business Information Systems, University of Twente, P.O. Box 217,7500-AE Enschede, The Netherland; E-Mail: 3 Faculty of Humanities and Social Sciences, Prince of Songkla University, Muang, Pattani 94000, Thailand; E-Mail:* Author to whom correspondence should be addressed; E-Mail:; Tel.: +49-421-218-69111.Academic Editors: Conor Mc Guckin and Lucie CorcoranReceived: 29 October 2014 / Accepted: 12 February 2015 / Published: 16 February 2015Abstract: This study (1) reports frequency rates of mutually exclusive traditional, cyberand combined (both traditional and cyber) bullying roles; and (2) investigates whetheradolescents belonging to particular bullying roles show higher levels of involvement inrisky online activities (Compulsive Internet Use (CIU), online grooming victimization, andsexting) and risky offline activities (bad behavior in school, drinking alcohol and truancy)than non-involved adolescents. The sample comprised self-reports of 1928 German, Dutchand Thai adolescents (Age = 12–18; M = 14.52; SD = 1.6). The results revealed age, sexand country differences in bullying frequency rates. CIU, sending of sexts and risky offlineactivities were most strongly associated with combined bully-victims. The receiving ofsexts was most strongly associated with combined bullies; and online groomingvictimization was most strongly related to cyber bully-victims. Another important finding isthat the associations between risky offline activities and combined bullying are stronger thanfor traditional and cyber bullying. The findings contribute to better understanding of theassociations between varying bullying roles and risky online and offline activities amongadolescents. In sum, the results underscore the need to promote life skills rather thanadopting more conventional approaches, which focus almost exclusively on reduction of risks
    02/2015; 5(1):109-135. DOI:10.3390/soc5010109
  • [Show abstract] [Hide abstract]
    ABSTRACT: The study’s purpose was to explore whether frequency of cyberbullying victimization, cognitive appraisals, and coping strategies were associated with psychological adjustments among college student cyberbullying victims. A convenience sample of 121 students completed questionnaires. Linear regression analyses found frequency of cyberbullying victimization, cognitive appraisals, and coping strategies respectively explained 30%, 30%, and 27% of the variance in depression, anxiety, and self-esteem. Frequency of cyberbullying victimization and approach and avoidance coping strategies were associated with psychological adjustments, with avoidance coping strategies being associated with all three psychological adjustments. Interventions should focus on teaching cyberbullying victims to not use avoidance coping strategies.
    Archives of Psychiatric Nursing 02/2015; DOI:10.1016/j.apnu.2015.01.008 · 1.03 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: The present study tried to answer the research need for empirically validated and theoretically based instruments to assess cyberbullying and cybervictimization. The psychometric properties of the Florence CyberBullying-CyberVictimization Scales (FCBVSs) were analyzed in a sample of 1,142 adolescents (Mage=15.18 years; SD=1.12 years; 54.5% male). For both cybervictimization and cyberbullying, results support a gender invariant model involving 14 items and four factors covering four types of behaviors (written-verbal, visual, impersonation, and exclusion). The second-order confirmatory factor analysis confirmed that a "global," second-order measure of cyberbullying and cybervictimization fits the data well. Overall, the scales showed good validity (construct, concurrent, and convergent) and reliability (internal consistency and test-retest). In addition, using the global key question measure as a criterion, ROC analyses, determining the ability of a test to discriminate between groups, allowed us to identify cutoff points to classify respondents as involved/not involved starting from the continuum measure derived from the scales.
    Cyberpsychology, Behavior, and Social Networking 01/2015; 18(2). DOI:10.1089/cyber.2014.0366 · 2.41 Impact Factor


Available from
Jun 6, 2014