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Problematic Internet Use and Cyberbullying Perpetration Among Chinese Adolescents: the Mediating and Moderating Roles of Negative Emotions

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Abstract

The present study examined the mediating and moderating roles of negative emotions on the association between problematic Internet use (PIU) and cyberbullying perpetration among adolescents. A sample of 831 junior high school students (50.8% males; Mage = 14 years; SDage = 0.55) was recruited for the completion of questionnaires assessing demographics, PIU, negative emotions, and cyberbullying perpetration. The gender- and grade-controlled result showed that (1) significant positive correlations existed among PIU, negative emotions, and cyberbullying perpetration; (2) negative emotions partially mediated the link between PIU and cyberbullying perpetration; and (3) negative emotions moderated the link between PIU and cyberbullying perpetration. Specifically, the positive association between PIU and cyberbullying perpetration was stronger in adolescents with high negative emotions than in those with low negative emotions. These findings provide important implications for the prevention and intervention of cyberbullying perpetration among adolescents.

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References

  • Aiken, L. S., West, S. G., & Reno, R. R. (1991). Multiple regression: Testing and interpreting interactions. Sage.

    Google Scholar 

  • Anderson, C. A., & Bushman, B. J. (2002). Human aggression. Annual Review of Psychology, 53(1), 27–51.

    PubMed  Google Scholar 

  • Ang, R. P., Chong, W. H., Chye, S., & Huan, V. S. (2012). Loneliness and generalized problematic Internet use: Parents’ perceived knowledge of adolescents’ online activities as a moderator. Computers in Human Behavior, 28(4), 1342–1347.

    Google Scholar 

  • Arslan, G. (2021a). School bullying and youth internalizing and externalizing behaviors: Do school belonging and school achievement matter? International Journal of Mental Health and Addiction, 1–18.

  • Arslan, G. (2021b). Psychological maltreatment predicts decreases in social wellbeing through resilience in college students: A conditional process approach of positive emotions, 1–11

  • Arslan, G., & Coşkun, M. (2021). Social exclusion, self-forgiveness, mindfulness, and Internet addiction in college students: A moderated mediation approach. International Journal of Mental Health and Addiction, 1–15.

  • Athanasiades, C., Kamariotis, H., Psalti, A., Baldry, A. C., & Sorrentino, A. (2015). Internet use and cyberbullying among adolescent students IN Greece: The “tabby” project. Hellenic Journal of Psychology, 12, 14–39.

    Google Scholar 

  • Barlett, C. P. (2015). Predicting adolescent’s cyberbullying behavior: A longitudinal risk analysis. Journal of Adolescence, 41, 86–95.

    PubMed  Google Scholar 

  • Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182.

    CAS  PubMed  Google Scholar 

  • Bauman, S. (2010). Cyberbullying in a rural intermediate school: An exploratory study. The Journal of Early Adolescence, 30(6), 803–833.

    Google Scholar 

  • Berkowitz, L. (1989). Frustration-aggression hypothesis: Examination and reformulation. Psychological Bulletin, 106(1), 59–73.

    CAS  PubMed  Google Scholar 

  • Block, J. J. (2008). Issues for DSM-V: Internet addiction. American Journal of Psychiatry, 165, 306–307.

    PubMed  Google Scholar 

  • Brighi, A., Menin, D., Skrzypiec, G., & Guarini, A. (2019). Young, bullying, and connected. Common pathways to cyberbullying and problematic internet use in adolescence. Frontiers in Psychology, 10, 1467–1481.

    PubMed  PubMed Central  Google 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, 164–173.

    Google Scholar 

  • Calvete, E., Orue, I., Estévez, A., Villardón, L., & Padilla, P. (2010). Cyberbullying in adolescents: Modalities and aggressors’ profile. Computers in Human Behavior, 26(5), 1128–1135.

    Google Scholar 

  • Casale, S., Caplan, S. E., & Fioravanti, G. (2016). Positive metacognitions about Internet use: The mediating role in the relationship between emotional dysregulation and problematic use. Addictive Behaviors, 59, 84–88.

    PubMed  Google Scholar 

  • Casas, J. A., Del Rey, R., & Ortega-Ruiz, R. (2013). Bullying and cyberbullying: Convergent and divergent predictor variables. Computers in Human Behavior, 29(3), 580–587.

    Google Scholar 

  • Casey, B. J., Jones, R. M., Levita, L., Libby, V., Pattwell, S. S., Ruberry, E. J., ... & Somerville, L. H. (2010). The storm and stress of adolescence: insights from human imaging and mouse genetics. Developmental Psychobiology, 52(3), 225–235.

  • Chang, F. C., Chiu, C. H., Miao, N. F., Chen, P. H., Lee, C. M., Chiang, J. T., & Pan, Y. C. (2015). The relationship between parental mediation and Internet addiction among adolescents, and the association with cyberbullying and depression. Comprehensive Psychiatry, 57, 21–28.

    PubMed  Google Scholar 

  • Chi, X. L., Hong, X., & Chen, X. C. (2020). Profiles and sociodemographic correlates of Internet addiction in early adolescents in Southern China. Addictive Behaviors, 106, 1–7.

    Google Scholar 

  • China Internet Network Information Center. (2020). The 46th China statistical report on Internet development.. Retrieved December 20, 2020 from: http://www.cnnic.net.cn/hlwfzyj/hlwxzbg/hlwtjbg/202009/P020200929546215182514.pdf

  • Chou, C., Condron, L., & Belland, J. C. (2005). A review of the research on internet addiction. Educational Psychology Review, 17(4), 363–388.

    Google Scholar 

  • Chu, X. W., Fan, C. Y., Liu, Q. Q., & Zhou, Z. K. (2018). Stability and change of bullying roles in the traditional and virtual contexts: A three-wave longitudinal study in Chinese early adolescents. Journal of Youth and Adolescence, 47(11), 2384–2400.

    PubMed  Google Scholar 

  • Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). Lawrence Erlbaum.

    Google Scholar 

  • Contardi, A., Imperatori, C., Penzo, I., Del Gatto, C., & Farina, B. (2016). The association among difficulties in emotion regulation, hostility, and empathy in a sample of young Italian adults. Frontiers in Psychology, 7, 1068.

    PubMed  PubMed Central  Google Scholar 

  • Dalbudak, E., Evren, A. S., Coskun, K. S., Ugurlu, H., & Yildirim, F. G. (2013). Relationship of internet addiction severity with depression, anxiety, and alexithymia, temperament and character in university students. Cyberpsychology, Behavior, and Social Networking, 16(4), 272–278.

    PubMed  Google Scholar 

  • De, L., Joseph, A., & Wulfert, E. (2013). Problematic Internet use and other risky behaviors in college students: An application of problem-behavior theory. Psychology of Addictive Behaviors, 27(1), 133–141.

    Google Scholar 

  • Den Hamer, A. H., Konijn, E. A., & Keijer, M. G. (2014). Cyberbullying behavior and adolescents’ use of media with antisocial content: A cyclic process model. Cyberpsychology, Behavior, and Social Networking, 17(2), 74–81.

    Google Scholar 

  • Den Hamer, A. H., & Konijn, E. A. (2016). Can emotion regulation serve as a tool in combating cyberbullying? Personality and Individual Differences, 102, 1–6.

    Google Scholar 

  • Duan, D. Y., Cheng, Q., Zhang, X. M., & Xia, Y. Q. (2014). Relationships between negative interrelationship, anxiety, exposureto violent media and aggression among middle school students. Chinese Journal of Clinical Psychology, 22(2), 281–285.

    Google Scholar 

  • Durkee, T., Kaess, M., Carli, V., Parzer, P., Wasserman, C., Floderus, B., ... & Brunner, R. (2012). Prevalence of pathological internet use among adolescents in Europe: Demographic and social factors. Addiction, 107(12), 2210–2222.

  • Erceghurn, D. M., & Mirosevich, V. M. (2008). Modern robust statistical methods: An easy way to maximize the accuracy and power of your research. American Psychologist, 63(7), 591–601.

    PubMed  Google Scholar 

  • Erdur-Baker, Ö., & Kavşut, F. (2007). Akran zorbalığının yeni yüzü: Siber zorbalık (Cyberbully ing: A new face of peer bullying). Eurasian Journal of Educational Research, 27, 31–42.

    Google Scholar 

  • Estévez, A., Jáuregui, P., Sánchez-Marcos, I., López-González, H., & Griffiths, M. D. (2017). Attachment and emotion regulation in substance addictions and behavioral addictions. Journal of Behavioral Addictions, 6(4), 534–544.

    PubMed  PubMed Central  Google Scholar 

  • Fan, C. Y., Chu, X. W., Zhang, M., & Zhou, Z. K. (2019). Are narcissists more likely to be involved in cyberbullying? Examining the mediating role of self-esteem. Journal of Interpersonal Violence, 34(15), 3127–3150.

  • Fang, J., & Zhang, M. Q. (2012). Assessing point and interval estimation for the mediating effect: Distribution of the product, nonparametric bootstrap and Markov chain Monte Carlo methods. Acta Psychologica Sinica, 44(10), 1408–1420.

    Google Scholar 

  • Ferri, J., Bress, J. N., Eaton, N. R., & Proudfit, G. H. (2014). The impact of puberty and social anxiety on Amygdala activation to faces in adolescence. Developmental Neuroscience, 36(3–4), 239–249.

    CAS  PubMed  Google Scholar 

  • Gámez-Guadix, M., Borrajo, E., & Almendros, C. (2016). Risky online behaviors among adolescents: Longitudinal relations among problematic Internet use, cyberbullying perpetration, and meeting strangers online. Journal of Behavioral Addictions, 5(1), 100–107.

    PubMed  PubMed Central  Google Scholar 

  • Garofalo, C., & Velotti, P. (2017). Negative emotionality and aggression in violent offenders: The moderating role of emotion dysregulation. Journal of Criminal Justice, 51, 9–16.

    Google Scholar 

  • Gary, W. G., & Patrick, M. M. (2007). Violent video games and anger as predictors of aggression. Journal of Research in Personality, 41(6), 1234–1243.

    Google Scholar 

  • Geng, J. Y., Wang, X. C., Wang, Y. H., Lei, L., & Wang, P. C. (2022). “If you love me, you must do...” parental psychological control and cyberbullying perpetration among Chinese adolescents. Journal of Interpersonal Violence. 37(9), 7932–7957.

  • Ha, Y. M., & Hwang, W. J. (2014). Gender differences in internet addiction associated with psychological health indicators among adolescents using a national web-based survey. International Journal of Mental Health and Addiction, 12(5), 660–669.

    Google Scholar 

  • Handonoa, S. G., Laeheema, K., & Sittichai, R. (2019). Factors related with cyberbullying among the youth of Jakarta, Indonesia. Children and Youth Services Review, 99, 235–239.

    Google Scholar 

  • Hao, Z., & Lirong, L. (2004). Statistical remedies for common method biases. Advances in Psychological Science, 12(6), 942–950.

    Google Scholar 

  • Huang, Y., Xu, L., Mei, Y., Wei, Z., Wen, H., & Liu, D. (2020). Problematic Internet use and the risk of suicide ideation in Chinese adolescents: a cross-sectional analysis. Psychiatry Research, 290, 1–7.

  • Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55.

    Google Scholar 

  • Hu, Y., Fan, C. Y., Zhang, F. J., Xie, X. C., & Hao, E. H. (2014). The effect of perceived stress and online social support on the relationship between cyber-victimization and depression among adolescents. Journal of Psychological Development and Education, 2, 177–184.

    Google Scholar 

  • Hu, Y., Huang, H., Zhang, Y. Q., & Zhou, C. Y. (2017). The mediating effect of negative emotions between mobile phone dependence and cognitive failure. Chinese Journal of Clinical Psychology, 25(6), 1088–1092.

    Google Scholar 

  • IBM Corp. (2018). IBM SPSS (AMOS) statistics for windows. IBM Corp V. 26.0.

    Google Scholar 

  • Iranzo, B., Buelga, S., Cava, M. J., & Ortega-Barón, J. (2019). Cyberbullying, psychosocial adjustment, and suicidal ideation in adolescence. Psychosocial Intervention, 28(2), 75–81.

    Google Scholar 

  • Jessor, R. (1987). Risky driving and adolescent problem behavior: An extension of problem-behavior theory. Alcohol, Drugs, and Driving, 3, 1–11.

    Google Scholar 

  • Jessor, R. (1991). Risk behavior in adolescence: A psycho-social framework for understanding and action. Journal of Adolescent Health, 12, 597–605.

    CAS  Google Scholar 

  • Jiang, Q. Y., Zhao, F. Q., Xie, X. C., Wang, X. C., Nie, J., Lei, L., & Wang, P. C. (2022). Difficulties in emotion regulation and cyberbullying among Chinese adolescents: A mediation model of loneliness and depression. Journal of Interpersonal Violence, 37(1–2), 1105–1124.

  • Kircaburun, K., & Bastug, I. (2016). Predicting cyberbullying tendencies of adolescents with problematic Internet use. The Journal of Academic Social Science Studies, 48, 385–396.

    Google Scholar 

  • Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed.). Guilford.

    Google Scholar 

  • Ko, C. H., Yen, J. Y., Chen, C. S., Yeh, Y. C., & Yen, C. F. (2009). Predictive values of psychiatric symptoms for internet addiction in adolescents. Archives of Pediatrics & Adolescent Medicine, 163(10), 937–943.

    Google Scholar 

  • Kokkinos, C. M., & Voulgaridou, I. (2017). Relational and cyber aggression among adolescents: Personality and emotion regulation as moderators. Computers in Human Behavior, 68, 528–537.

    Google Scholar 

  • König, A., Gollwitzer, M., & Steffgen, G. (2010). Cyberbullying as an act of revenge? Australian Journal of Guidance and Counselling, 20(2), 210–224.

    Google Scholar 

  • 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), 1073–1137.

    PubMed  Google Scholar 

  • Kowalski, R. M., Giumetti, G. W., Schroeder, A. N., & Reese, H. H. (2012). Cyberbullying among college students: Evidence from multiple domains of college life. In Misbehavior online in higher education (pp. 293–321). Emerald Group Publishing Limited.

  • Kowalski, R. M., Limber, S. P., & McCord, A. (2019). A developmental approach to cyberbullying: Prevalence and protective factors. Aggression and Violent Behavior, 45, 20–32.

    Google Scholar 

  • Kraut, R., Patterson, M., Lundmark, V., et al. (1998). Internet paradox: A social technology that reduces social involvement and psychological well-being? American Psychologist, 53(9), 1017–1031.

    CAS  PubMed  Google Scholar 

  • Kuss, D., Shorter, G., van rooij, A., Griffiths, M. D., & Schoenmakers, T. M. (2013). Internet addiction components model. International Journal of Mental Health and Addiction, 11(5), 1–26.

  • Lee, C., & Shin, N. (2017). Prevalence of cyberbullying and predictors of cyberbullying perpetration among Korean adolescents. Computers in Human Behavior, 68, 352–358.

    Google Scholar 

  • Lei, L., & Yang, Y. (2007). The development and validation of adolescent pathological internet use scale. Acta Psychologica Sinica, 39(4), 688–696.

    Google Scholar 

  • Leung, A. N. M., Wong, N., & Farver, J. M. (2018). Cyberbullying in Hong Kong Chinese students: Life satisfaction, and the moderating role of friendship qualities on cyberbullying victimization and perpetration. Personality and Individual Differences, 133, 7–12.

    Google Scholar 

  • Li, J. B., Lau, J. T. F., Mo, P. K. H., Su, X. F., Tang, J., Qin, Z. G., & Gross, D. L. (2017). Insomnia partially mediated the association between problematic Internet use and depression among secondary school students in China. Journal of Behavioral Addictions, 6(4), 554–563.

    PubMed  PubMed Central  Google Scholar 

  • Li, Y. (2004). A sociological analysis of adolescent conformity psychology. Educational Criticism, 1, 29–32.

    Google Scholar 

  • Lim, J. A., Gwak, A. R., Park, S. M., Kwon, J. G., Lee, J. Y., Jung, H. Y., Sohn, B. K., Kim, J. W., Kim, D. J., & Choi, J. S. (2015). Are adolescents with internet addiction prone to aggressive behavior? The mediating effect of clinical comorbidities on the predictability of aggression in adolescents with internet addiction. Cyberpsychology, Behavior, and Social Networking, 18(5), 260–267.

    PubMed  Google Scholar 

  • Liu, H. Y., He, J. L., Hu, Y., Wang, W., & Li, H. T. (2017). Relation of cyber bullying to psychological status, online social support and psychological resilience in college students. Chinese Mental Health Journal, 31(12), 988–993.

    Google Scholar 

  • Livazovi, G., & Ham, E. (2019). Cyberbullying and emotional distress in adolescents: The importance of family, peers and school. Heliyon, 5(6), e01992.

    Google Scholar 

  • Lonigro, A., Schneider, B. H., Laghi, F., Baiocco, R., Pallini, S., & Brunner, T. (2014). Is cyberbullying related to trait or state anger? Child Psychiatry and Human Development, 46(3), 445–454.

    Google Scholar 

  • Mak, K. K., Lai, C. M., Watanabe, H., Kim, D. I., Bahar, N., Ramos, M., Young, K. S., Ho, R. C. M., Ma, N. A., Cheng, P., & C. . (2014). Epidemiology of Internet behaviors and addiction among adolescents in six Asian countries. Cyberpsychology, Behavior, and Social Networking, 17(11), 720–728.

    PubMed  Google Scholar 

  • Milani, L., Osualdella, D., & Di Blasio, P. (2009). Quality of interpersonal relationships and problematic Internet use in adolescence. Cyber Psychology & Behavior, 12(6), 681–684.

    Google Scholar 

  • Modecki, K. L., Minchin, J., Harbaugh, A. G., Guerra, N. G., & Runions, K. C. (2014). Bullying prevalence across contexts: A meta-analysis measuring cyber and traditional bullying. Journal of Adolescent Health, 55(5), 602–611.

    Google Scholar 

  • Moreno, M. A., Jelenchick, L. A., & Christakis, D. A. (2013). Problematic Internet use among older adolescents: A conceptual framework. Computers in Human Behavior, 29, 1879–1887.

    Google Scholar 

  • Ochsner, K. N., & Gross, J. J. (2005). The cognitive control of emotion. Trends in Cognitive Sciences, 9(5), 242–249.

    PubMed  Google Scholar 

  • Park, S., Hong, K. E. M., Park, E. J., Ha, K. S., & Yoo, H. J. (2013). The association between problematic internet use and depression, suicidal ideation and bipolar disorder symptoms in Korean adolescents. Australian & New Zealand Journal of Psychiatry, 47(2), 153–159.

    Google Scholar 

  • Patchin, J. W., & Hinduja, S. (2010). Cyberbullying and self-esteem. Journal of School Health, 80(12), 614–621.

    PubMed  Google Scholar 

  • Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903.

    PubMed  Google Scholar 

  • Rothbart, M. K., & Bates, J. E. (2006). Temperament. In W. Damon & R. M. Lerner (Eds.), Handbook of child psychology (6th ed., Vol. 3, pp. 99–166). Wiley.

    Google Scholar 

  • Schniering, C. A., & Rapee, R. M. (2004). The relationship between automatic thoughts and negative emotions in children and adolescents: A test of the cognitive content-specificity hypothesis. Journal of Abnormal Psychology, 113(3), 464–470.

    PubMed  Google Scholar 

  • Slonje, R., & Smith, P. K. (2008). Cyberbullying: Another main type of bullying? Scandinavian Journal of Psychology, 49(2), 147–154.

    PubMed  Google Scholar 

  • Slonje, R., Smith, P. K., & Frisén, A. (2013). The nature of cyberbullying, and strategies for prevention. Computers in Human Behavior, 29(1), 26–32.

    Google Scholar 

  • Sorrentino, A., Baldry, A. C., Farrington, D. P., & Blaya, C. (2019). Epidemiology of cyberbullying across Europe: Differences between countries and genders. Educational Sciences: Theory and Practice, 19(2), 74–91.

    Google Scholar 

  • Stodt, B., Wegmann, E., & Brand, M. (2016). Predicting dysfunctional Internet use: The role of age, conscientiousness, and Internet literacy in Internet addiction and cyberbullying. International Journal of Cyber Behavior, Psychology and Learning, 6(4), 28–43.

    Google Scholar 

  • Suler, J. (1994). The Online Disinhibition Effect. Cyberpsychology Behavior., 7, 321–326.

    Google Scholar 

  • Teng, Z. J., Nie, Q., Zhu, Z. G., Guo, C. (2020). Violent video game exposure and (Cyber)bullying perpetration among Chinese youth: The moderating role of trait aggression and moral identity. Computers in Human Behavior, 104, 106193.

  • 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), 277–287.

    Google Scholar 

  • Tóth-Király, I., Morin, A. J. S., Hietajärvi, L., & Salmela-Aro, K. (2021). Longitudinal trajectories, social and individual antecedents, and outcomes of problematic internet use among late adolescents. Child Development, 92(4), 653–673.

  • Van Cleemput, K., Vandebosch, H., & Pabian, S. (2014). Personal characteristics and contextual factors that determine “helping”, “joining in”, and “doing nothing” when witnessing cyberbullying. Aggressive Behavior, 40(5), 383–396.

    PubMed  Google Scholar 

  • Wang, B. C., Jin, C. C., Zhao, B. B., & Ji, A. T. (2020). Relationship among dark triad, peer relationship and cyberbullying of middle school students. China Journal School Health, 41(2), 243–246.

    Google Scholar 

  • Wang, D. M., Zhang, L. X., & Zhang, Z. (2017). The relationship between problematic internet use, well-being, social anxiety and depression: A longitudinal study. Studies of Psychology and Behavior, 15(4), 569–576.

    Google Scholar 

  • Wang, H. J., & Lu, J. M. (2004). The compilation of the middle school students’ self-control ability questionnaire. Journal of Psychological Science, 27(6), 1477–1482.

    Google Scholar 

  • Wang, P., Wang, X., & Lei, L. (2021). Gender differences between student-student relationship and cyberbullying perpetration: An evolutionary perspective. Journal of Interpersonal Violence. 36(19–20), 9187–9207.

  • Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54(6), 1063–1070.

    CAS  PubMed  Google Scholar 

  • Wen, Z. L., & Ye, B. J. (2014). Analyses of mediating effects: The development of methods and models. Advances in Psychological Science, 22(5), 731–745.

    Google Scholar 

  • Wright, M. F., & Li, Y. (2013). Normative beliefs about aggression and cyber aggression among young adults: A longitudinal investigation. Aggressive Behavior, 39(3), 161–170.

    PubMed  Google Scholar 

  • Xun, S. W., Huang, Z., Guo, F., Hou, J. Q., & Chen, Z. Y. (2013). Bidirectional relationship between internet addiction and depression in adolescents. Chinese Journal of Clinical Psychology, 21(4), 613–615.

    Google Scholar 

  • Yang, L., Sun, L., Zhang, Z., Sun, Y., Wu, H., & Ye, D. (2014). Internet addiction, adolescent depression, and the mediating role of life events: Finding from a sample of Chinese adolescents. International Journal of Psychology, 49(5), 342–347.

    CAS  PubMed  Google Scholar 

  • Yang, X., Wang, Z., Chen, H., & Liu, D. (2018). Cyberbullying perpetration among Chinese adolescents: The role of interparental conflict, moral disengagement, and moral identity. Children and Youth Services Review, 86, 256–263.

    Google Scholar 

  • Yıldırım, M., Arslan, G., & Wong, P. (2020). Meaningful living, resilience, affective balance, and psychological health problems among Turkish young adults during coronavirus pandemic. Advance online publication.

    Google Scholar 

  • Yudes, C., Rey, L., & Extremera, N. (2020). Predictive factors of cyberbullying perpetration amongst Spanish adolescents. International Journal of Environmental Research and Public Health, 17(11), 3967–3981.

    PubMed  PubMed Central  Google Scholar 

  • Zhang, G. H., Dai, B. B., & Lei, L. (2013). The development of pathological Internet use and its relationship with self-esteem among junior high school students: The moderating role of classmate relationship. Acta Psychologica Sinica, 45(12), 1345–1354.

    Google Scholar 

  • Zhang, X. C., Chu, X. W., & Fan, C. Y. (2019). Peer victimization and cyberbullying: A mediating moderation model. Chinese Journal of Clinical Psychology, 27(1), 148–152.

    Google Scholar 

  • Zhang, Y., Qin, X., & Ren, P. (2018). Adolescents’ academic engagement mediates the association between internet addiction and academic achievement: The moderating effect of classroom achievement norm. Computers in Human Behavior, 89, 299–307.

    Google Scholar 

  • Zhao, B. B., Jin, C. C., & Wu, Y. T. (2018). Family function and cyberbullying in adolescents: A chain mediation analysis. Chinese Journal of Clinical Psychology, 26(6), 1146–1151.

    Google Scholar 

  • Zhou, N., Cao, H., Liu, F. G., Wu, L. L., Liang, Y., Xu, J. J., Meng, H. R., Zang, N., Hao, R. N., An, Y., Ma, S. S., Fang, X. Y., & Zhang, J. T. (2020). A four-wave, cross- lagged model of problematic Internet use and mental health among Chinese college students: Disaggregation of within-person and between-person effects. Developmental Psychology, 56(5), 1009–1021.

    PubMed  Google Scholar 

  • Zhou, Z., Tang, H., Tian, Y., Wei, H., Zhang, F., & Morrison, C. M. (2013). Cyberbullying and its risk factors among Chinese high school students. School Psychology International, 34(6), 630–647.

    Google Scholar 

  • Zhu, L. J., Ye, B. J., & Ni, L. Y. (2020). Social exclusion on college students’ online deviant behavior: The mediating effect of social anxiety and moderating effect of negative online emotion experience. Chinese Journal of Special Education, 235(1), 79–83.

    Google Scholar 

  • Zsila, Á., Orosz, G., Király, O., Urbán, R., Ujhelyi, A., Jármi, É., Griffiths, M. D., Elekes, Z., & Demetrovics, Z. (2018). Psychoactive substance use and problematic Internet use as predictors of bullying and cyberbullying victimization. International Journal of Mental Health and Addiction, 16, 466–479.

    PubMed  Google Scholar 

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Funding This work was supported by the national social science fund of China (18ZDA333).

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  1. School of Psychology, Shaanxi Normal University, Xi’an, 710062, China

    Ning He, Huizi Houmei, Mengyun Wang & Hangzhou Li

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  1. Ning He
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He, N., Houmei, H., Wang, M. et al. Problematic Internet Use and Cyberbullying Perpetration Among Chinese Adolescents: the Mediating and Moderating Roles of Negative Emotions. Int J Ment Health Addiction 21, 1515–1533 (2023). https://doi.org/10.1007/s11469-021-00675-z

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  • DOI: https://doi.org/10.1007/s11469-021-00675-z

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