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Longitudinal and Reciprocal Relations of Cyberbullying With Depression, Substance Use, and Problematic Internet Use Among Adolescents
Open accessAbstract
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.
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“Cyberbullying can also have physical effects on victims such as weight loss or gain, substance abuse, headache, abdominal pain and sleeping problems (Gámez-Guadix et al., 2013;Jang et al., 2014).”
From A review of cyberbullying and suggestions for online psychological therapy (2015) · cites this paper as Gámez-Guadix et al., 2013
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“Research indicates that this relationship between psychological problems and cyberbullying victimization is bidirectional, as individuals with pre-existing conditions are more vulnerable to cyberbullying, which in turn exacerbates their symptoms84.”
From Umbrella review of meta-analyses on the risk factors, protective factors, consequences and interventions of cyberbullying victimization (2024) · cites this paper as [84]
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“research indicates that both cyber bullies and victims use the Internet as a coping mechanism in which they try to escape or avoid their feelings of distress (Gámez-Guadix et al., 2013).”
From A review of cyberbullying and suggestions for online psychological therapy (2015) · cites this paper as Gámez-Guadix et al., 2013
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“The worst psychological impact has been related to being a bully/victim.”
From A review of cyberbullying and suggestions for online psychological therapy (2015) · cites this paper as Gámez-Guadix et al., 2013
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“Gámez-Guadix et al. (2013) | 15.2 (mean years) | 845 Spain | Victim | Depressive symptoms”
From A review of cyberbullying and suggestions for online psychological therapy (2015) · cites this paper as Gámez-Guadix et al. (2013)
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“Cyberbullying victimization led to an increase in depressive symptoms, which in turn increased the probability of cyberbullying (Gámez-Guadix et al., 2013).”
From Social functioning in major depressive disorder (2016) · cites this paper as Gámez-Guadix et al., 2013
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Citations
Cites
EQS : structural equations program manual
Bentler, P. M. (1989) · Medical Entomology and Zoology · Cited by 9,669
A scaled difference chi-square test statistic for moment structure analysis
Satorra, A., & Bentler, P. M. (2001) · Psychometrika · doi:10.1007/bf02296192 · Cited by 5,282
Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming, Third Edition
Byrne, B. M. (2016) · doi:10.4324/9781315757421 · Cited by 4,653
Byrne, B. M. (2013) · doi:10.4324/9780203805534 · Cited by 4,016
Tokunaga, R. S. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2009.11.014 · Cited by 2,566
Hankin, B. L., Abramson, L. Y., Moffitt, T. E., Silva, P. A., McGee, R., & Angell, K. E. (1998) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.107.1.128 · Cited by 2,333
Risk behavior in adolescence: A psychosocial framework for understanding and action
JESSOR, R. (1991) · Journal of Adolescent Health · doi:10.1016/1054-139x(91)90007-k · Cited by 1,508
Cyberbullying: An Exploratory Analysis of Factors Related to Offending and Victimization
Hinduja, S., & Patchin, J. W. (2008) · Deviant Behavior · doi:10.1080/01639620701457816 · Cited by 1,497
Online aggressor/targets, aggressors, and targets: a comparison of associated youth characteristics
Ybarra, M. L., & Mitchell, K. J. (2004) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2004.00328.x · Cited by 1,313
Risk Behavior in Adolescence: A Psychosocial Framework for Understanding and Action
Jessor, R. (2021) · Routledge eBooks · doi:10.4324/9780429046582-4 · Cited by 1,216
Theory and measurement of generalized problematic internet use : A two-step approach
Caplan, S. E. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.03.012 · Cited by 1,061
Assessing the non-random sampling effects of subject attrition in longitudinal research
Goodman, J. S., & Blum, T. C. (1996) · Journal of Management · doi:10.1177/014920639602200405 · Cited by 766
Ybarra, M. L., & Mitchell, K. J. (2004) · Journal of Adolescence · doi:10.1016/j.adolescence.2004.03.007 · Cited by 737
Cyberbullying in adolescents: Modalities and aggressors’ profile
Calvete, E., Orue, I., Estévez, A., Villardón, L., & Padilla, P. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.03.017 · Cited by 686
Self-citationSubtypes of Victims and Aggressors in Children's Peer Groups
Schwartz, D. (2000) · Research on Child and Adolescent Psychopathology · doi:10.1023/a:1005174831561 · Cited by 542
Perren, S., Dooley, J. J., Shaw, T., & CROSS, D. S. (2010) · Child and Adolescent Psychiatry and Mental Health · doi:10.1186/1753-2000-4-28 · Cited by 443
Cyber and Traditional Bullying: Differential Association with Depression
Wang, J., Nansel, T. R., & Iannotti, R. J. (2011) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2010.07.012 · Cited by 436
Mitchell, K. J., Ybarra, M. L., & David Finkelhor, B. (2007) · Child Maltreatment · doi:10.1177/1077559507305996 · Cited by 417
Campbell, M. A., Spears, B. A., Slee, P. T., Butler, D., & Kift, S. (2012) · Emotional and Behavioural Difficulties · doi:10.1080/13632752.2012.704316 · Cited by 389
Child/Adolescent Anxiety Multimodal Study (CAMS): rationale, design, and methods
Compton, S. N., Walkup, J. T., Albano, A. M., Piacentini, J. C., Birmaher, B. B., Sherrill, J. T., Ginsburg, G. S., Rynn, M. A., McCracken, J. T., WASLICK, B. D., et al. (2010) · Child and Adolescent Psychiatry and Mental Health · doi:10.1186/1753-2000-4-1 · Cited by 341
Victimization from Mental and Physical Bullying and Substance Use in Early Adolescence
Tharp-Taylor, S., Haviland, A. M., & D'Amico, E. (2009) · Addictive Behaviours · doi:10.1016/j.addbeh.2009.03.012 · Cited by 313
The influences of information literacy, internet addiction and parenting styles on internet risks
Leung, L., & Lee, P. S. N. (2012) · New Media & Society · doi:10.1177/1461444811410406 · Cited by 273
The Emotional Impact on Victims of Traditional Bullying and Cyberbullying
Ruiz, R. O., Elipe, P., Mora-Merchán, J. A., Villén, J. C., & Gea, E. M. V. (2009) · Zeitschrift für Psychologie · doi:10.1027/0044-3409.217.4.197 · Cited by 255
Cyber-Bullying: Creating a Culture of Respect in a Cyber World
Keith, S. J., & Martin, M. E. (2005) · Reclaiming Children and Youth · Cited by 238
Involvement in bullying and depression in a 2-year follow-up in middle adolescence
Kaltiala‐Heino, R., Fröjd, S. A., & MARTTUNEN, M. J. (2009) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-009-0039-2 · Cited by 232
(2007) · Wiley eBooks · doi:10.1002/9781118013991 · Cited by 230
Handbook of School Violence and School Safety
(2012) · Routledge eBooks · doi:10.4324/9780203841372 · Cited by 223
Perren, S., Dooley, J. J., Shaw, T., & CROSS, D. S. (2010) · Zurich Open Repository and Archive (University of Zurich) · doi:10.5167/uzh-40250 · Cited by 184
Cyberbullying and Cyber Aggression
Smith, P. K. (2012) · doi:10.4324/9780203841372-15 · Cited by 180
Self-citationCyberbullying victimisation in adolescence: relationships with loneliness and depressive mood
Olenik-Shemesh, D., Heiman, T., & Eden, S. (2012) · Emotional and Behavioural Difficulties · doi:10.1080/13632752.2012.704227 · Cited by 176
Gámez‐Guadix, M., Villa‐George, F. I., & Calvete, E. (2012) · Journal of Adolescence · doi:10.1016/j.adolescence.2012.06.005 · Cited by 120
Self-citationClinical Assessment of Internet‐Addicted Clients
YOUNG, K. S. (2007) · doi:10.1002/9781118013991.ch2 · Cited by 85
Schultze‐Krumbholz, A., Jäkel, A., Schultze, M., & Scheithauer, H. (2012) · Emotional and Behavioural Difficulties · doi:10.1080/13632752.2012.704317 · Cited by 76
ADOLESCENTES VÍCTIMAS DE CYBERBULLYING: PREVALENCIA Y CARACTERÍSTICAS
Estévez, A., Villardón-Gallego, L., Calvete, E., Padilla, P., & Orue, I. (2010) · Psicología conductual = behavioral psychology: Revista internacional de psicología clínica y de la salud · Cited by 65
Self-citationCalvete, E., & Estévez, A. (2009) · Adicciones · doi:10.20882/adicciones.251 · Cited by 50
Self-citationPeer Support as a Means of Improving School Safety and Reducing Bullying and Violence
Cowie, H., & Smith, P. K. (2015) · Routledge eBooks · doi:10.4324/9780203866412.ch9 · Cited by 49
Self-citationAssociations between types of involvement in bullying, friendships and mental health status
Skrzypiec, G., Slee, P. T., Askell‐Williams, H., & Lawson, M. J. (2012) · Emotional and Behavioural Difficulties · doi:10.1080/13632752.2012.704312 · Cited by 48
Problem behaviours, traditional bullying and cyberbullying among adolescents: longitudinal analyses
Lester, L., CROSS, D. S., & Shaw, T. (2012) · Emotional and Behavioural Difficulties · doi:10.1080/13632752.2012.704313 · Cited by 45
Encuesta estatal sobre uso de drogas en enseñanzas secundarias
Drogas, P. N. S. (2004) · Farmacéuticos: revista del Consejo General de Colegios Oficiales de Farmacéuticos · Cited by 33
Gibb, B. E., & Hanley, A. J. (2010) · International Journal of Cognitive Therapy · doi:10.1521/ijct.2010.3.4.358 · Cited by 23
Research works printed but not linked: 1
- Spanish Society of Epidemilogy, 2000, Una propuesta de medida de clase social (Proposal for a social class measure), Aten Primaria, 20, 350
Cited by
Sorted by citations
Oberst, U., Wegmann, E., Stodt, B., Brand, M., & Chamarro, A. (2017) · Journal of Adolescence · doi:10.1016/j.adolescence.2016.12.008 · Cited by 894
Anderson, E. L., Steen, E., & Stavropoulos, V. (2017) · International Journal of Adolescence and Youth · doi:10.1080/02673843.2016.1227716 · Cited by 722
Social functioning in major depressive disorder
Kupferberg, A., Bicks, L., & Hasler, G. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.07.002 · Cited by 663
Livingstone, S., & Smith, P. K. (2014) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12197 · Cited by 590
Self-citationCyberbullying, self-esteem, empathy and loneliness
Brewer, G., & Kerslake, J. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.01.073 · Cited by 459
Metadata
- Authors
- Gámez-Guadix, M., Orue, I., Smith, P. K., & Calvete, E.
- Affiliations
- Universidad de Deusto (ES)
- Goldsmiths University of London (GB)
- Venue
- Journal of Adolescent Health
- Publisher
- Elsevier BV
- Published
- 2013-10
- Volume
- 53
- Issue
- 4
- Pages
- 446-452
- ISSN
- 1054-139X (ISSN-L)
- OpenAlex
- W2163169807
- Cited by
- 532
- References
- 43
- Citations by year
- 2026: 21 · 2025: 40 · 2024: 28 · 2023: 48 · 2022: 56 · 2021: 41 · 2020: 48 · 2019: 63 · 2018: 44 · 2017: 45 · 2016: 36 · 2015: 42 · 2014: 17 · 2013: 2
- FWCI
- 47.91
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Adolescent Health (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Ministerio de Economía y Competitividad (PSI2012-31550)
- 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, cyber victimization, bully-victims, depressive symptoms, substance use, problematic internet use, adolescents, bidirectional relationship, longitudinal associations, adolescent mental health
- MeSH terms
- Adolescent, Adolescent Behavior, Depressive Disorder, Female, Humans, Male, Spain, Crime Victims, Substance-Related Disorders, Internet, Bullying
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