Abstract
Deviant behavior of adolescents in the online world has emerged as a serious social issue in South Korea. Given the urgent need to address new forms of risks related to technological advancement such as the Internet, this study examined the mechanisms of online deviant behavior among adolescents guided by general strain theory. Two waves of the nationally representative Korean Children and Youth Panel Study (N = 2184; Mage = 13.6 years) were used. The study examines whether the association between parental maltreatment (7th grade) and online deviant behavior (8th grade) is mediated by depression (8th grade), and further whether the mediating effect of depression (8th grade) on online deviant behavior (8th grade) is moderated by mobile phone dependency (8th grade). Depression mediated the relationship between parental maltreatment and online deviant behavior in the following year. A significant indirect and negative effect of parental maltreatment on online deviant behavior through depression was observed when levels of mobile phone dependency were low and moderate but not when mobile phone dependency was high. The findings demonstrated that adolescent’s depression and mobile phone dependency represent a key mechanism in determining the association between parental maltreatment and online deviant behavior. However, these findings may not be applicable for youth with the highest levels of mobile phone dependency.
Highlights
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Adopted general strain theory to examine the mechanism of online deviant behavior.
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Depression mediated the parental maltreatment and online deviant behavior relationship.
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Mobile phone dependency partially moderated the indirect effect of depression on online deviant behavior.
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References
Agnew, R. (1992). Foundation for a general strain theory of crime and delinquency. Criminology, 30(1), 47–88.
Agnew, R., & Brezina, T. (2012). Juvenile delinquency: Causes and control. 4th ed. New York, MY: Oxford University Press.
Atkinson, C., & Newton, D. (2010). Online behaviours of adolescents: Victims, perpetrators and Web 2.0. Journal of Sexual Aggression, 16(1), 107–120.
Brensilver, M., Negriff, S., Mennen, F. E., & Trickett, P. K. (2011). Longitudinal relations between depressive symptoms and externalizing behavior in adolescence: Moderating effects of maltreatment experience and gender. Journal of Clinical Child & Adolescent Psychology, 40(4), 607–617.
Enders, C. K. (2010). Applied missing data analysis. New York, NY: Guilford Press.
Graham, J. W., & Schafer, J. L. (1999). On the performance of multiple imputation for multivariate data with small sample size. In R. Hoyle (Ed.), Statistical strategies for small sample research (pp. 1–29). Thousand Oaks, CA: Sage.
Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York, NY: Guilford Press.
Hayes, A. F. (2015). An index and test of linear moderated mediation. Multivariate Behavioral Research, 50(1), 1–22.
Hinduja, S., & Patchin, J. W. (2007). Offline consequences of online victimization: School violence and delinquency. Journal of School Violence, 6(3), 89–112.
Huh, M. (2000). The study for the development and validation of ‘parenting behavior inventory’ perceived by adolescent (Unpublished master’s thesis). Seoul, Republic of Korea: Ewha Womans University.
Jeong, J. & Lee, H. (2015). The relationship between internalizing problems and juvenile delinquency in middle school students; Moderating effects of moral judgment. Korean Journal of Youth Studies, 22(3), 261–286.
Jun, S., & Choi, E. (2015). Academic stress and Internet addiction from general strain theory framework. Computers in Human Behavior, 49, 282–287.
Jung, H. (2009). A study of social bonding, self-control, and opportunity theories on the persistent cyber delinquency. Information Policy, 16(4), 97–112.
Kawasaki, N., Tanei, S., Ogata, F., Burapadaja, S., Loetkham, C., Nakamura, T., & Tanada, S. (2006). Survey on cellular phone usage on students in Thailand. Journal of Physiological Anthropology, 25(6), 377–382.
Kim, E. (2014). ITU ‘Korea Youth Digital Native Level World’s Highest’ Yonhap News Agnecy. Retrieved from http://www.yonhapnews.co.kr/itu/2014/10/21/5201000000AKR20141021085500017.
Kim, J., & Kim, J. (2015). International note: Teen users’ problematic online behavior: Using panel data from South Korea. Journal of Adolescence, 40, 48–53.
Kim, K., & Yoon, H. (2012). Influence of eco-system factors relate to adolescents’ cyber violence. Journal of Adolescent Welfare, 14(1), 213–238.
Kim, K. (2013). Influential risk factors for youth cyber violence: with priority given to the mediating effects of delinquent friends. Journal of Future Oriented Youth Society, 10(4), 133–159.
Kim, K., Kim, J., & Won, H. (1984). Korean manual of symptom checklist-90-revision. Seoul, Korea: Chungang Aptitude Publishing.
Kim, S., & Han, Y. (2015). Longitudinal study of mobile phone dependency and school adjustment in adolescence: Mediating role of ego identity. Journal of Family Relations, 20(1), 75–89.
Kim, S. (2003). (The) effect of social support on abused children’s adjustment. (Masters dissertation), Seoul national university, Seoul.
Kong, J., & Lim, J. (2012). The longitudinal influence of parent–child relationships and depression on cyber delinquency in South Korean adolescents: A latent growth curve model. Children and Youth Services Review, 34(5), 908–913.
Korea Internet and Security Agency. (2015). 2015 Survey on the Internet usage. Retrieved from Seoul: http://isis.kisa.or.kr/board/?pageId=060100&bbsId=7&itemId=815&pageIndex=1.
Korea Information Society Development Institute. (2014). The types of social media user and social function or dysfunction Retrieved December 31, 2014, from http://m.kisdi.re.kr/mobile/repo/res_view.m?key1=13560&key2=0&key3=&category=1.
Lau, W. W., & Yuen, A. H. (2013). Adolescents’ risky online behaviours: The influence of gender, religion, and parenting style. Computers in Human Behavior, 29(6), 2690–2696.
Lee, J. (2015). Digital generation, culture, and identity. Seoul. Korea: Communication Books.
Lee, J., Onifade, E., Ryu, J., Rasul, A., & Maynard, Q. R. (2014). Online activity, alcohol use, and internet delinquency among Korean youth: A multilevel approach. Journal of Ethnicity in Criminal Justice, 12(4), 247–263.
Lee, S. (2004). Strain, negative emotions, and cyberdelinquency: Testing a gender difference. Korean Academy of Public Safety and Criminal Justice, 18(-), 1–27.
Lee, S., Kim, H., Na, U., Lee, S., Kim, S., & Bae, J. (2002). A study on the effect of the cell phone use of adolescents. Seoul, Korea: Samsung Social Mental Health Institute.
Leena, K., Tomi, L., & Arja, R. (2005). Intensity of mobile phone use and health compromising behaviours—how is information and communication technology connected to health-related lifestyle in adolescence? Journal of Adolescence, 28(1), 35–47.
Lenhart, A., Madden, M., Smith, A., Purcell, K., Zickuhr, K., & Rainie, L. (2011). Teens, kindness and cruelty on social network sites. Pew Internet and American Life Project.
Lianos, H., & McGrath, A. (2018). Can the general theory of crime and general strain theory explain cyberbullying perpetration? Crime & Delinquency, 64(5), 674–700.
Mallett, C. A., Stoddard Dare, P., & Seck, M. M. (2009). Predicting juvenile delinquency: The nexus of childhood maltreatment, depression and bipolar disorder. Criminal Behaviour and Mental Health, 19(4), 235–246.
Mazerolle, P., & Maahs, J. (2000). General strain and delinquency: An alternative examination of conditioning influences. Justice Quarterly, 17(4), 753–778.
Moon, B., Blurton, D., & McCluskey, J. D. (2008). General strain theory and delinquency: Focusing on the influences of key strain characteristics on delinquency. Crime & Delinquency, 54(4), 582–613.
National Youth Policy Institute (2017). Codebook for KCYPS waves 1-7. Retrieved from http://www.nypi.re.kr/archive/brdartcl/boardarticleView.do?menu_nix=qZc474Ak&brd_id=BDIDX_k9Fd9oFi29nooCcJ7kX1I4&srch_ctgry_idx=CTIDX00043.
Paez, G. R. (2018). Cyberbullying among adolescents: A general strain theory perspective. Journal of School Violence, 17(1), 74–85.
Patchin, J. W., & Hinduja, S. (2011). Traditional and nontraditional bullying among youth: A test of general strain theory. Youth & Society, 43(2), 727–751.
Poushter, J. (2016, February 22). Smartphone ownership and Internet usage continues to climb in emerging economies. Retrieved from Pew Research Center, For Media or Other Inquiries: http://s1.pulso.cl/wp-content/uploads/2016/02/2258581.pdf.
Pratt, T. C., Cullen, F. T., Sellers, C. S., Thomas Winfree, Jr, L., Madensen, T. D., Daigle, L. E., & Gau, J. M. (2010). The empirical status of social learning theory: A meta-analysis. Justice Quarterly, 27(6), 765–802.
Preacher, K. J., & Hayes, A. F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, 36(4), 717–731.
Preacher, K. J., Rucker, D. D., & Hayes, A. F. (2007). Addressing moderated mediation hypotheses: Theory, methods, and prescriptions. Multivariate Behavioral Research, 42(1), 185–227.
Prensky, M. (2001). Digital natives, digital immigrants part 1. On the Horizon, 9(5), 1–6.
Rebellon, C. J., Manasse, M. E., Van Gundy, K. T., & Cohn, E. S. (2012). Perceived injustice and delinquency: A test of general strain theory. Journal of Criminal Justice, 40(3), 230–237.
Shim, H. (2014). The adolescents’ microsystem effect on delinquency–Mediated moderation analysis of self-esteem and cellular phone dependency. (Masters dissertation). Seoul: Korea university.
Simons, R. L., Simons, L. G., Chen, Y. F., Brody, G. H., & Lin, K. H. (2007). Identifying the psychological factors that mediate the association between parenting practices and delinquency. Criminology, 45(3), 481–517.
Son, J., & Son, E. (2007). The relationship between family environment, computer overuse, and Internet related delinquency. Studies on Korean Youth, 18(1), 135–162.
Valkenburg, P. M., & Peter, J. (2011). Online communication among adolescents: An integrated model of its attraction, opportunities, and risks. Journal of Adolescent Health, 48(2), 121–127.
Yang, S., & Park, Y. (2005). A prediction model of cellular phone addiction tendency among adolescents. Family and Environment Research, 43(4), 1–16.
Ybarra, M. L., & Mitchell, K. J. (2004). Online aggressor/targets, aggressors, and targets: A comparison of associated youth characteristics. Journal of child Psychology and Psychiatry, 45(7), 1308–1316.
Yen, C. F., Tang, T. C., Yen, J. Y., Lin, H. C., Huang, C. F., Liu, S. C., & Ko, C. H. (2009). Symptoms of problematic cellular phone use, functional impairment and its association with depression among adolescents in Southern Taiwan. Journal of Adolescence, 32(4), 863–873.
Yoon, M., & Lee, J. (2010). A longitudinal effects of parent attachment on depression in early adolescence. Social Science Research, 26(2), 69–92.
You, S., & Lim, S. A. (2015). Development pathways from abusive parenting to delinquency: the mediating role of depression and aggression. Child Abuse & Neglect, 46, 152–162.
Acknowledgements
This work was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2015R1C1A2A01055203).
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Kim, S., Han, Y. Associations Between Parental Maltreatment and Online Behavior Among Young Adolescents. J Child Fam Stud 30, 2782–2791 (2021). https://doi.org/10.1007/s10826-021-02059-2
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DOI: https://doi.org/10.1007/s10826-021-02059-2