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Longitudinal relations among family dysfunction, depressive symptoms, and cyberbullying involvement in Chinese early adolescents: Disentangling between- and within-person associations

Published online by Cambridge University Press:  09 December 2022

Jianhua Zhou
Affiliation:
School of Psychology, Northwest Normal University, Lanzhou, China
Xiang Li
Affiliation:
Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, China
Yan Zou
Affiliation:
School of Psychology, Northwest Normal University, Lanzhou, China
Xue Gong*
Affiliation:
School of Psychology, South China Normal University, Guangzhou, China
*
Corresponding author: Xue Gong, email: gongxuedw@163.com

Abstract

Family dysfunction plays an important role in cyberbullying and cybervictimization. However, little research has investigated the longitudinal relations and the mediating mechanisms between them during adolescence. This study examined the longitudinal relations between family dysfunction and cyberbullying and cybervictimization, along with whether depressive symptoms function as mediators between them at the within-person level. A total of 3,743 Chinese adolescents (46.2% females; Mage = 9.92 years; SD = 0.51) participated a five-wave longitudinal study with a 6-month time interval. The results of random intercept cross-lagged panel model found that: (1) family dysfunction directly predicted depressive symptoms and vice versa at the within-person level; (2) depressive symptoms directly predicted cyberbullying and cybervictimization at the within-person level, but not vice versa; (3) family dysfunction indirectly predicted cyberbullying and cybervictimization via depressive symptoms at the within-person level; (4) at the between-person level, there were significant associations among family dysfunction, depressive symptoms, cyberbullying and cybervictimization. The results are discussed on the basis of the mechanisms that lead to cyberbullying and cybervictimization.

Type
Regular Article
Copyright
© The Author(s), 2022. Published by Cambridge University Press

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References

Achenbach, T. M. (1991). Manual for the youth self-report and 1991 profiles. University of Vermont Department of Psychiatry.Google Scholar
Álvarez-García, D., Pérez, J. C. N., González, A. D., & Pérez, C. R. (2015). Risk factors associated with cybervictimization in adolescence. International Journal of Clinical and Health Psychology, 15(3), 226235. https://doi.org/10.1016/j.ijchp.2015.03.002 CrossRefGoogle ScholarPubMed
Arató, N., Zsidó, A. N., Rivnyák, A., Péley, B., & Lábadi, B. (2022). Risk and protective factors in cyberbullying: The role of family, social support and emotion regulation. International Journal of Bullying Prevention, 4(2), 160173. https://doi.org/10.1007/s42380-021-00097-4 CrossRefGoogle Scholar
Baldry, A. C., Farrington, D. P., & Sorrentino, A. (2015). Am I at risk of cyberbullying. Aggression and Violent Behavior, 23, 3651. https://doi.org/10.1016/j.avb.2015.05.014 CrossRefGoogle Scholar
Bollen, K. A. (2014). Structural equations with latent variables (Vol. 210). John Wiley & Sons.Google Scholar
Buehler, C. (2020). Family processes and children’s and adolescents' well-being. Journal of Marriage and Family, 82(1), 145174. https://doi.org/10.1111/jomf.12637 CrossRefGoogle Scholar
Buelga, S., Martínez-Ferrer, B., & Cava, M. J. (2017). Differences in family climate and family communication among cyberbullies, cybervictims, and cyber bully-victims in adolescents. Computers in Human Behavior, 76, 164173. https://doi.org/10.1016/j.chb.2017.07.017 CrossRefGoogle Scholar
Carlson, G. A., & Cantwell, D. P. (1980). Unmasking masked depression in children and adolescents. American Journal of Psychiatry, 137(4), 445449. https://doi.org/10.1176/ajp.137.4.445 Google ScholarPubMed
Chen, F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 14(3), 464504. https://doi.org/10.1080/10705510701301834 CrossRefGoogle Scholar
Chen, L., Ho, S. S., & Lwin, M. O. (2017). A meta-analysis of factors predicting cyberbullying perpetration and victimization: From the social cognitive and media effects approach. New Media & Society, 19(8), 11941213. https://doi.org/10.1177/1461444816634037 CrossRefGoogle Scholar
Chu, X. W., Fan, C. Y., Lian, S. L., & Zhou, Z. K. (2019). Does bullying victimization really influence adolescents’ psychosocial problems? A three-wave longitudinal study in China. Journal of Affective Disorders, 246, 603610. https://doi.org/10.1016/j.jad.2018.12.103 CrossRefGoogle ScholarPubMed
Cross, D., Barnes, A., Papageorgiou, A., Hadwen, K., Hearn, L., & Lester, L. (2015). A social-ecological framework for understanding and reducing cyberbullying behaviours. Aggression and Violent Behavior, 23, 109117. https://doi.org/10.1016/j.avb.2015.05.016 CrossRefGoogle Scholar
De Goede, I. H. A., Branje, S. J. T., & Meeus, W. H. J. (2009). Developmental changes in adolescents’ perceptions of relationships with their parents. Journal of Youth and Adolescence, 38(1), 7588. https://doi.org/10.1007/s10964-008-9286-7 CrossRefGoogle ScholarPubMed
Epstein, N. B., Bishop, D. S., & Levin, S. (1978). The McMaster model of family functioning. Journal of Marital and Family Therapy, 4(4), 1931. https://doi.org/10.1111/j.1752-0606.1978.tb00537.x CrossRefGoogle Scholar
Fan, Y. (2000). A classification of Chinese culture. Cross Cultural Management: An International Journal, 7(2), 310. https://doi.org/10.1108/13527600010797057 CrossRefGoogle Scholar
Gámez-Guadix, M., Orue, I., Smith, P. K., & Calvete, E. (2013). Longitudinal and reciprocal relations of cyberbullying with depression, substance use, and problematic internet use among adolescents. Journal of Adolescent Health, 53(4), 446452. https://doi.org/10.1016/j.jadohealth.2013.03.030 CrossRefGoogle ScholarPubMed
Gao, L., Liu, J., Yang, J., & Wang, X. (2021). Longitudinal relationships among cybervictimization, peer pressure, and adolescents’ depressive symptoms. Journal of Affective Disorders, 286, 19. https://doi.org/10.1016/j.jad.2021.02.049 CrossRefGoogle ScholarPubMed
Gardner, M. J., Thomas, H. J., & Erskine, H. E. (2019). The association between five forms of child maltreatment and depressive and anxiety disorders: A systematic review and meta-analysis. Child Abuse & Neglect, 96, 104082. https://doi.org/10.1016/j.chiabu.2019.104082 CrossRefGoogle ScholarPubMed
Gong, X., Huebner, E. S., & Tian, L. (2022). Longitudinal relations between child maltreatment in families and psychological maltreatment by teachers: The mediating roles of internalizing and externalizing problems among Chinese children. Journal of Interpersonal Violence, 08862605221104524. https://doi.org/10.1177/08862605221104524 Google ScholarPubMed
Gross, J. J., & John, O. P. (2003). Individual differences in two emotion regulation processes: Implications for affect, relationships, and well-being. Journal of Personality and Social Psychology, 85(2), 348362. https://doi.org/10.1037/0022-3514.85.2.348 CrossRefGoogle ScholarPubMed
Guo, L., Tian, L., & Huebner, E. S. (2018). Family dysfunction and anxiety in adolescents: A moderated mediation model of self-esteem and perceived school stress. Journal of School Psychology, 69, 1627. https://doi.org/10.1016/j.jsp.2018.04.002 CrossRefGoogle ScholarPubMed
Hamaker, E. L., Kuiper, R. M., & Grasman, R. P. (2015). A critique of the cross-lagged panel model. Psychological Methods, 20(1), 102116. https://doi.org/10.1037/a0038889 CrossRefGoogle ScholarPubMed
Holfeld, B., & Leadbeater, B. J. (2017). Concurrent and longitudinal associations between early adolescents’ experiences of school climate and cyber victimization. Computers in Human Behavior, 76, 321328. https://doi.org/10.1016/j.chb.2017.07.037 CrossRefGoogle Scholar
Holfeld, B., & Mishna, F. (2019). Internalizing symptoms and externalizing problems: Risk factors for or consequences of cyber victimization? Journal of Youth and Adolescence, 48(3), 567580. https://doi.org/10.1007/s10964-018-0974-7 CrossRefGoogle ScholarPubMed
Hong, J. S., Kim, D. H., Thornberg, R., Kang, J. H., & Morgan, J. T. (2018). Correlates of direct and indirect forms of cyberbullying victimization involving South Korean adolescents: An ecological perspective. Computers in Human Behavior, 87, 327336. https://doi.org/10.1016/j.chb.2018.06.010 CrossRefGoogle Scholar
Huang, J., Huebner, E. S., & Tian, L. (2021). Stability and changes in traditional and cyberbullying perpetration and victimization in childhood: The predictive role of depressive symptoms. Journal of Interpersonal Violence, 37, NP17300NP17324. https://doi.org/10.1177/08862605211028004 CrossRefGoogle ScholarPubMed
Humphreys, K. L., LeMoult, J., Wear, J. G., Piersiak, H. A., Lee, A., & Gotlib, I. H. (2020). Child maltreatment and depression: A meta-analysis of studies using the Childhood Trauma Questionnaire. Child Abuse & Neglect, 102, 104361. https://doi.org/10.1016/j.chiabu.2020.104361 CrossRefGoogle ScholarPubMed
Kapetanovic, S., Boele, S., & Skoog, T. (2019). Parent-adolescent communication and adolescent delinquency: Unraveling within-family processes from between-family differences. Journal of Youth and Adolescence, 48(9), 17071723. https://doi.org/10.1007/s10964-019-01043-w CrossRefGoogle ScholarPubMed
Kashian, N. (2021). The impact of media use on the spillover and crossover effect of couple conflict. New Media & Society, 146144482110148. https://doi.org/10.1177/14614448211014841 Google Scholar
Kaufman, T. M., Kretschmer, T., Huitsing, G., & Veenstra, R. (2020). Caught in a vicious cycle? Explaining bidirectional spillover between parent-child relationships and peer victimization. Development and Psychopathology, 32(1), 1120. https://doi.org/10.1017/S0954579418001360 CrossRefGoogle Scholar
Kim, K. H. (2005). The relation among fit indexes, power, and sample size in structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 12(3), 368390. https://doi.org/10.1207/s15328007sem1203_2 CrossRefGoogle Scholar
Kim, Y., Richards, J. S., & Oldehinkel, A. J. (2022). Self-control, mental health problems, and family functioning in adolescence and young adulthood: Between-person differences and within-person effects. Journal of Youth and Adolescence, 51(6), 11811195. https://doi.org/10.1007/s10964-021-01564-3 CrossRefGoogle Scholar
Klasen, F., Otto, C., Kriston, L., Patalay, P., Schlack, R., & Ravens-Sieberer, U. (2015). Risk and protective factors for the development of depressive symptoms in children and adolescents: Results of the longitudinal BELLA study. European Child & Adolescent Psychiatry, 24(7), 695703. https://doi.org/10.1007/s00787-0140637-5 CrossRefGoogle ScholarPubMed
Kline, R. B. (2015). Principles and practice of structural equation modeling. Guilford Publications.Google Scholar
Kochel, K. P., Ladd, G. W., & Rudolph, K. D. (2012). Longitudinal associations among youth depressive symptoms: An interpersonal process perspective. Child Development, 83(2), 637650. https://doi.org/10.1111/j.1467-8624.2011.01722.x CrossRefGoogle ScholarPubMed
Kowalski, R. M., Giumetti, G. W., Schroeder, A. N., & Lattanner, M. R. (2014). Bullying in the digital age: A critical review and meta-analysis of cyberbullying research among youth. Psychological Bulletin, 140(4), 10731137. https://doi.org/10.1037/a0035618 CrossRefGoogle ScholarPubMed
Kowalski, R. M., Limber, S. P., & McCord, A. (2019). A developmental approach to cyberbullying: Prevalence and protective factors. Aggression and Violent Behavior, 45, 2032. https://doi.org/10.1016/j.avb.2018.02.009 CrossRefGoogle Scholar
Kwan, I., Dickson, K., Richardson, M., MacDowall, W., Burchett, H., Stansfield, C., Brunton, G., Sutcliffe, K., & Thomas, J. (2020). Cyberbullying and children and young people’s mental health: A systematic map of systematic reviews. Cyberpsychology, Behavior, and Social Networking, 23(2), 7182. https://doi.org/10.1089/cyber.2019.0370 CrossRefGoogle Scholar
Li, X., Huebner, E. S., & Tian, L. (2021). Vicious cycle of emotional maltreatment and bullying perpetration/victimization among early adolescents: Depressive symptoms as a mediator. Social Science & Medicine, 291, 114483. https://doi.org/10.1016/j.socscimed.2021.114483 CrossRefGoogle ScholarPubMed
Little, R. J., & Rubin, D. B. (2002). Statistical analysis with missing data. Wiley. https://doi.org/10.1002/9781119013563 CrossRefGoogle Scholar
Liu, Q. Q., Yang, X. J., Hu, Y. T., Zhang, C. Y., & Nie, Y. G. (2020). How and when is family dysfunction associated with adolescent mobile phone addiction? Testing a moderated mediation model. Children and Youth Services Review, 111, 104827. https://doi.org/10.1016/j.childyouth.2020.104827 CrossRefGoogle Scholar
López-Castro, L., & Priegue, D. (2019). Influence of family variables on cyberbullying perpetration and victimization: A systematic literature review. Social Sciences, 8(3), 98. https://doi.org/10.3390/socsci8030098 CrossRefGoogle Scholar
Marciano, L., Schulz, P. J., & Camerini, A. L. (2020). Cyberbullying perpetration and victimization in youth: A meta-analysis of longitudinal studies. Journal of Computer-Mediated Communication, 25(2), 163181. https://doi.org/10.1093/jcmc/zmz031 CrossRefGoogle Scholar
Mastrotheodoros, S., Canário, C., Gugliandolo, M. C., Merkas, M., & Keijsers, L. (2020). Family functioning and adolescent internalizing and externalizing problems: Disentangling between-, and within-family associations. Journal of Youth and Adolescence, 49(4), 804817. https://doi.org/10.1007/s10964-019-01094-z CrossRefGoogle ScholarPubMed
Nie, Q., Tian, L., & Huebner, E. S. (2020). Relations among family dysfunction, loneliness and life satisfaction in Chinese children: A longitudinal mediation model. Child Indicators Research, 13(3), 839862. https://doi.org/10.1007/s12187-019-09650-6 CrossRefGoogle Scholar
Nocentini, A., Fiorentini, G., Di Paola, L., & Menesini, E. (2019). Parents, family characteristics and bullying behavior: A systematic review. Aggression and Violent Behavior, 45, 4150. https://doi.org/10.1016/j.avb.2018.07.010 CrossRefGoogle Scholar
Ortega Barón, J., Postigo, J., Iranzo, B., Buelga, S., & Carrascosa, L. (2019). Parental communication and feelings of affiliation in adolescent aggressors and victims of cyberbullying. Social Sciences, 8(1), 3. https://doi.org/10.3390/socsci8010003 CrossRefGoogle Scholar
Orth, U., Clark, D. A., Donnellan, M. B., & Robins, R. W. (2021). Testing prospective effects in longitudinal research: Comparing seven competing cross-lagged models. Journal of Personality and Social Psychology, 120(4), 10131034. https://doi.org/10.1037/pspp0000358 CrossRefGoogle ScholarPubMed
Parke, R. D., & Ladd, G. W. (2016). Family-peer relationships: Modes of linkage. Routledge.CrossRefGoogle Scholar
Rodríguez-de-Dios, I., van Oosten, J. M., & Igartua, J. J. (2018). A study of the relationship between parental mediation and adolescents’ digital skills, online risks and online opportunities. Computers in Human Behavior, 82, 186198. https://doi.org/10.1016/j.chb.2018.01.012 CrossRefGoogle Scholar
Rodriguez-Rivas, M. E., Varela, J. J., González, C., & Chuecas, M. J. (2022). The role of family support and conflict in cyberbullying and subjective well-being among Chilean adolescents during the Covid-19 period. Heliyon, 8(4), e09243. https://doi.org/10.1016/j.heliyon.2022.e09243 CrossRefGoogle ScholarPubMed
Romero-Abrio, A., Martínez-Ferrer, B., Musitu-Ferrer, D., León-Moreno, C., Villarreal-González, M. E., & Callejas-Jerónimo, J. E. (2019). Family communication problems, psychosocial adjustment and cyberbullying. International Journal of Environmental Research and Public Health, 16(13), 24172430. https://doi.org/10.3390/ijerph16132417 CrossRefGoogle ScholarPubMed
Rose, C. A., & Tynes, B. M. (2015). Longitudinal associations between cybervictimization and mental health among US adolescents. Journal of Adolescent Health, 57(3), 305312. https://doi.org/10.1016/j.jadohealth.2015.05.002 CrossRefGoogle Scholar
Rose, D. T., & Abramson, L. Y. (1992). Developmental predictors of depressive cognitive style: Research and theory. In Cicchetti, D., & Toth, S. L. (Eds.), Developmental perspectives on depression (pp. 323349). University of Rochester Press.Google Scholar
Rudolph, K. D., Flynn, M., & Abaied, J. L. (2008). A developmental perspective on interpersonal theories of youth depression. In Abela, J. R., & Hankin, B. L. (Eds.), Handbook of depression in children and adolescents (pp. 79102). Guilford.Google Scholar
Su, L., Yang, Z., Wan, G., Luo, X., & Li, X. (1999). Child behavior checklist used for Chinese children aged 6-11. Chinese Journal of Clinical Psychology, 7, 7073.Google Scholar
Thornberry, T. P., Matsuda, M., Greenman, S. J., Augustyn, M. B., Henry, K. L., Smith, C. A., & Ireland, T. O. (2014). Adolescent risk factors for child maltreatment. Child Abuse & Neglect, 38(4), 706722. https://doi.org/10.1016/j.chiabu.2013.08.009 CrossRefGoogle ScholarPubMed
Timmons, A. C., & Margolin, G. (2015). Family conflict, mood, and adolescents' daily school problems: Moderating roles of internalizing and externalizing symptoms. Child Development, 86(1), 241258. https://doi.org/10.1111/cdev.12300 CrossRefGoogle ScholarPubMed
Tokunaga, R. S. (2010). Following you home from school: A critical review and synthesis of research on cyberbullying victimization. Computers in Human Behavior, 26(3), 277287. https://doi.org/10.1016/j.chb.2009.11.014 CrossRefGoogle Scholar
Topcu, Ç., & Erdur-Baker, Ö. (2018). RCBI-II: The second revision of the revised cyber bullying inventory. Measurement and Evaluation in Counseling and Development, 51(1), 3241. https://doi.org/10.1080/07481756.2017.1395705 CrossRefGoogle Scholar
UNICEF. (2019). UNICEF poll: More than a third of young people in 30 countries report being a victim of online bullying. Retrieved April 8, 2020, from https://www.unicef.org/press-releases/unicef-poll-morethird-young-people-30-countries-report-being-victim-onlinebullying Google Scholar
Wang, Y., Tian, L., Guo, L., & Huebner, E. S. (2020). Family dysfunction and Adolescents’ anxiety and depression: A multiple mediation model. Journal of Applied Developmental Psychology, 66, 101090. https://doi.org/10.1016/j.appdev.2019.101090 CrossRefGoogle Scholar
Yuan, G., & Liu, Z. (2021). Longitudinal cross-lagged analyses between cyberbullying perpetration, mindfulness and depression among Chinese high school students. Journal of Health Psychology, 26(11), 18721881. https://doi.org/10.1177/13591053198903 CrossRefGoogle ScholarPubMed
Zhang, D., Huebner, E. S., & Tian, L. (2020). Longitudinal associations among neuroticism, depression, and cyberbullying in early adolescents. Computers in Human Behavior, 112, 106475. https://doi.org/10.1016/j.chb.2020.106475 CrossRefGoogle Scholar
Zhao, H., Gong, X., Huebner, E. S., Yang, X., & Zhou, J. (2022). Cyberbullying victimization and nonsuicidal self-injury in adolescents: Testing a moderated mediating model of emotion reactivity and dispositional mindfulness. Journal of Affective Disorders, 299, 256263. https://doi.org/10.1016/j.jad.2021.11.070 CrossRefGoogle ScholarPubMed
Zhou, J., Gong, X., Lu, G., Xu, X., Zhao, H., & Yang, X. (2022). Bidirectional spillover between maladaptive parenting and peer victimization and the mediating roles of internalizing and externalizing problems: A within-person analysis among Chinese early adolescents. Development and Psychopathology, 117. https://doi.org/10.1017/S0954579422000682 CrossRefGoogle ScholarPubMed
Zych, I., Farrington, D. P., & Ttofi, M. M. (2019). Protective factors against bullying and cyberbullying: A systematic review of meta-analyses. Aggression and Violent Behavior, 45, 419. https://doi.org/10.1016/j.avb.2018.06.008 CrossRefGoogle Scholar
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