MMORPG gaming and hostility predict Internet Addiction symptoms in adolescents: An empirical multilevel longitudinal study

Addictive Behaviors

Volumn 64, Issue , 2017, Pages 294-300

  Stavropoulos, Vasilis ^a   Kuss, Daria J ^b   Griffiths, Mark D ^b   Wilson, Peter ^c   Motti Stefanidi, Frosso ^a  

^a UNIVERSITY OF ATHENS   (Greece)

^b NOTTINGHAM TRENT UNIVERSITY   (United Kingdom)

^c AUSTRALIAN CATHOLIC UNIVERSITY   (Australia)

Author keywords

Adolescence; Classroom; Hostility; Internet Addiction; MMORPG

Indexed keywords

ADOLESCENT; ADOLESCENT BEHAVIOR; ARTICLE; COPING BEHAVIOR; DISEASE SEVERITY; FEMALE; GAME ADDICTION; GREECE; HEALTH CARE POLICY; HOSTILITY; HUMAN; INTERNET ADDICTION; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MALE; PRACTICE GUIDELINE; PREDICTION; ROLE PLAYING; SOCIAL INTERACTION; SYMPTOM CHECKLIST 90; ADDICTION; INTERNET; PSYCHOLOGY; VIDEO GAME;

ADOLESCENT; ADOLESCENT BEHAVIOR; BEHAVIOR, ADDICTIVE; FEMALE; GREECE; HOSTILITY; HUMANS; INTERNET; LONGITUDINAL STUDIES; MALE; ROLE PLAYING; VIDEO GAMES;

EID: 84945410079     PISSN: 03064603     EISSN: 18736327     Source Type: Journal    
DOI: 10.1016/j.addbeh.2015.09.001     Document Type: Article

References (68)

1. American Psychiatric Association, Diagnostic and Statistical Manual of Mental Disorders (DSM-5). 2013, American Psychiatric Association, Arlington, VA.
2. Asendorpf, J.B., Van Aken, M.A., Validity of Big Five personality judgments in childhood: A 9 year longitudinal study. European Journal of Personality 17:1 (2003), 1–17.
3. Brand, M., Young, K.S., Laier, C., Prefrontal control and Internet addiction: A theoretical model and review of neuropsychological and neuroimaging findings. Frontiers in Human Neuroscience, 8, 2014, 375, 10.3389/fnhum.2014.00375.
4. Chang, L., The role of classroom norms in contextualizing the relations of children's social behaviors to peer acceptance. Developmental Psychology, 40(5), 2004, 691.
5. Chen, H., Wigand, R.T., Nilan, M.S., Optimal experience of web activities. Computers in Human Behavior 15:5 (1999), 585–608.
6. Choi, D.S., Kim, J., Why people continue to play online games: In search of critical design factors to increase customer loyalty to online contents. CyberPsychology and Behavior 7:1 (2004), 11–24.
7. Coie, J.D., Dodge, K.A., Coppotelli, H., Dimensions and types of social status: A cross-age perspective. Developmental Psychology, 18(4), 1982, 557.
8. Cole, H., Griffiths, M.D., Social interactions in massively multiplayer online role-playing gamers. CyberPsychology and Behavior 10 (2007), 575–583.
9. De Freitas, S., Griffiths, M.D., Massively multiplayer online role-play games for learning. Gaming and simulations: concepts, methodologies, tools and applications, 2011, IGI Global, Pennsylvania, 779–793.
10. Derogatis, L.R., Savitz, K.L., The SCL-90-R, Brief Symptom Inventory, and Matching Clinical Rating Scales. The use of psychological testing for treatment planning and outcomes assessment, 2nd ed., 1999, Lawrence Erlbaum Associates, Mahwah, NJ, US, 679–724.
11. Derogatis, L.R., Unger, R., Symptom checklist-90-revised. Corsini encyclopedia of psychology, 2010, US. John Wiley & Sons, New York.
12. Dom, G., D'haene, P., Hulstijn, W., Sabbe, B.G.C.C., Impulsivity in abstinent early-and late-onset alcoholics: differences in self-report measures and a discounting task. Addiction 101:1 (2006), 50–59.
13. Douglas, A.C., Mills, J.E., Niang, M., Stepchenkova, S., Byun, Blanton, M., Internet addiction: Meta-synthesis of qualitative research for the decade 1996–2006. Computers in Human Behavior 24:6 (2008), 3027–3044.
14. Englund, M.M., Egeland, B., Oliva, E.M., Collins, W.A., Childhood and adolescent predictors of heavy drinking and alcohol use disorders in early adulthood: A longitudinal developmental analysis. Addiction 103 (2008), 23–35.
15. Festl, R., Scharkow, M., Quandt, T., Problematic computer game use among adolescents, younger and older adults. Addiction 108:3 (2013), 592–599.
16. Freeman, C.B., Internet gaming addiction. Journal for Nurse Practitioners 4:1 (2008), 42–47.
17. Gentile, D.A., Choo, H., Liau, A., Sim, T., Li, D., Khoo, A., Pathological video game use among youths: A two-year longitudinal study. Pediatrics 127:2 (2011), E319–E329.
18. Gilmore, K., Meersand, P., Normal child and adolescent development. Hales, R.E., Yudofsky, S.C., Roberts, L.W., (eds.) The American Psychiatric Publishing Textbook of Psychiatry, DSM-5 ed., 2014, American Psychiatric, Arlington, V.A.
19. Greek Ministry of Education, Office for information., 2010 (Contacted on 01 February 2010 http://www.minedu.gov.gr/epikoinonia-main/gepo-main.html?view=message&layout=message&pf=1&redirect_on_success).
20. Griffiths, M.D., A “components” model of addiction within a biopsychosocial framework. Journal of Substance Use 10 (2005), 191–197.
21. Griffiths, M.D., Kuss, D.J., Demetrovics, Z., Social networking addiction: An overview of preliminary findings. Rosenberg, K., Feder, L., (eds.) Behavioral addictions: Criteria, evidence and treatment, 2014, Elsevier, New York, 119–141.
22. Guan, N. C., Isa, S. M., Hashim, A. H., Pillai, S. K., & Singh, M. K. H. (2012). Validity of the Malay version of the Internet Addiction Test: A study on a group of medical students in Malaysia. Asia-Pacific Journal of Public Health, 10(1), 1–12. doi: http://dx.doi.org/10.1177/1010539512447808.
23. Holi, M., Assessment of psychiatric symptoms using the SCL-90. 2003, University of Elsinki, Department of Psychiatry (Doctoral Dissertation, Retrieved on February 1st 2010, from http://ethesis.helsinki.fi/julkaisut/laa/kliin/vk/holi/assessme.pdf).
24. Hong, S., You, S., Kim, E., No, U., A group-based modeling approach to estimating longitudinal trajectories of Korean adolescents' on-line game time. Personality and Individual Differences 59 (2014), 9–15.
25. Hull, D., Williams, G.A., Griffiths, M.D., Video game characteristics, happiness and flow as predictors of addiction among video game players: A pilot study. Journal of Behavioral Addictions 2 (2013), 145–152.
26. Jones, C. M., Scholes, L., Johnson, D., Katsikitis, M., & Carras, M. C. (2014). Gaming well: Links between videogames and flourishing mental health. Frontiers in Psychology, 5, 260. doi: http://dx.doi.org/10.3389/fpsyg.2014.00260.
27. Kardefelt-Winther, D., A conceptual and methodological critique of internet addiction research: Towards a model of compensatory internet use. Computers in Human Behavior 31 (2014), 351–354.
28. Ko, C.H., Yen, J.Y., Liu, S.C., Huang, C.F., Yen, C.F., The associations between aggressive behaviors and Internet addiction and online activities in adolescents. Journal of Adolescent Health 44:6 (2009), 598–605.
29. Kuss, D.J., Griffiths, M.D., Internet gaming addiction: A systematic review of empirical research. International Journal of Mental Health and Addiction 10:2 (2012), 278–296.
30. Kuss, D.J., Louws, J., Wiers, R.W.W., Online gaming addiction? Motives predict addictive play behavior in Massively Multiplayer Online Role-Playing Games Cyberpsychology. Behavior and Social Networking 15:9 (2012), 480–485.
31. Kuss, D.J., Griffiths, M.D., Karila, L., Billieux, J., Internet addiction: A systematic review of epidemiological research for the last decade. Current Pharmaceutical Design 20 (2014), 4026–4052.
32. LaRose, R., Lin, C.A., Eastin, M.S., Unregulated Internet usage: Addiction, habit, or deficient self-regulation?. Media Psychology 5:3 (2003), 225–253.
33. Lemmens, J.S., Valkenburg, P.M., Peter, J., The effects of pathological gaming on aggressive behavior. Journal of Youth and Adolescence 40:1 (2011), 38–47.
34. Lo, S.K., Wang, C.C., Fang, W.C., Physical interpersonal relationships and social anxiety among online game players. CyberPsychology and Behavior 8:1 (2005), 15–20.
35. Madden, M., Lenhart, A., Duggan, M., Cortesi, S., Gasser, U., Teens and technology. PEW Research Internet Project., 2013 (Retrieved from http://www.pewinternet.org/2013/03/13/teens-and-technology-2013/).
36. Mehroof, M., Griffiths, M.D., Online gaming addiction: The role of sensation seeking, self-control, neuroticism, aggression, state anxiety, and trait anxiety. CyberPsychology and Behavior 13:3 (2010), 313–316.
37. Moffitt, T.E., Adolescence-limited and life-course-persistent antisocial behavior: A developmental taxonomy. Psychological Review 100:4 (1993), 674–701.
38. Motti-Stefanidi, F., Asendorpf, J., Masten, A., The adaptation and well-being of adolescent immigrants in Greek schools: A multilevel, longitudinal study of risks and resources. Development and Psychopathology 24:2 (2012), 451–473, 10.1017/S0954579412000090.
39. Olson, D.H., Circumplex model of marital and family systems. Journal of Family Therapy 22:2 (2000), 144–167.
40. Pan, G., Lu, S., Ke, M., Han, S., Guo, H., Fang, X., Epidemiologic study of the irritable bowel syndrome in Beijing: Stratified randomized study by cluster sampling. Chinese Medical Journal 113:1 (2000), 35–39.
41. Patel, D.R., Greydanus, D.E., Substance abuse: A pediatric concern. Indian Journal of Pediatrics 66:4 (1999), 557–567.
42. Raudenbush, S.W., Bryk, A.S., Congdon, R.T., Hierarchical linear modeling. 2002, Sage, Thousands Oaks, CA.
43. Rice, E., Barman-Adhikari, A., Internet and social media use as a resource among homeless youth. Journal of Computer-Mediated Communication 19:2 (2014), 232–247.
44. Rosenberg, M., Society and the adolescent self-image. 1965, Princeton University Press, Princeton NJ.
45. Ryan, A.M., Patrick, H., The classroom social environment and changes in adolescents' motivation and engagement during middle school. American Educational Research Journal 38:2 (2001), 437–460.
46. Schwarzer, R., Measurement of perceived self-efficacy. Psychometric scales for cross-cultural research. 1993, Freie Universität Berlin, Berlin, Germany.
47. Segal, B., Adolescent initiation into drug-taking behavior: Comparisons over a 5-year interval. Substance Use and Misuse 26:3 (1991), 267–279.
48. Skoric, M.M., Kwan, G.C.E., Platforms for mediated sociability and online social capital: the role of Facebook and massively multiplayer online games. Asian Journal of Communication 21:5 (2011), 467–484.
49. Society of Information Observatory, The use of the Internet in Greece., 2010 (Retrieved on February 1st 2010 from http://www.infosoc.gr/infosoc/el-GR/services/elibrary/reports_list/).
50. Spear, L.P., The adolescent brain and age-related behavioral manifestations. Neuroscience and Biobehavioral Reviews 24:4 (2000), 417–463.
51. Stavropoulos, V., Alexandraki, K., Motti-Stefanidi, F., Recognizing internet addiction: Prevalence and relationship to academic achievement in adolescents enrolled in urban and rural Greek high schools. Journal of Adolescence 36 (2013), 565–576.
52. Stavropoulos, V., Alexandraki, K., Motti-Stefanidi, F., Flow and telepresence contributing to internet abuse: Differences according to gender and age. Computers in Human Behavior 29:5 (2013), 1941–1948.
53. Stavropoulos, V., Kuss, D., Griffiths, M.D., Motti-Stefanidi, F., A longitudinal study of adolescent Internet addiction: The role of conscientiousness and classroom hostility. Journal of Adolescent Research, 2015, 10.1177/0743558415580163.
54. Stavropoulos, V., Gentile, D., Motti-Stefanidi, F., A multilevel longitudinal study of adolescent Internet addiction: The role of obsessive compulsive symptoms and classroom openness to experience. The European Journal of Developmental Psychology, 2015 (in press).
55. Thatcher, A., Wretschko, G., Fridjhon, P., Online flow experiences, problematic Internet use and Internet procrastination. Computers in Human Behavior 24:5 (2008), 2236–2254.
56. Thege, B.K., Woodin, E.M., Hodgins, D.C., Williams, R.J., Natural course of behavioral addictions: a 5-year longitudinal study. BMC Psychiatry, 15(1), 2015, 4.
57. Thorsteinsson, E.B., Davey, L., Adolecents' compulsive Internet use and depression: A longitudinal study. Open Journal of Depression 3:1 (2014), 13–17.
58. Tsagarakis, M., Kafetsios, K., Stalikas, A., Reliability and validity of the Greek version of the revised experiences in close relationships measure of adult attachment. European Journal of Psychological Assessment 23:1 (2007), 47–55.
59. Van Buuren, S., Multiple imputation of multilevel data. Handbook of Advanced Multilevel Analysis, 2010, 173–196.
60. Wallace, P., Internet addiction disorder and youth. EMBO Reports 15:1 (2014), 12–16.
61. Wan, C.S., Chiou, W.B., Psychological motives and online games addiction: A test of flow theory and humanistic needs theory for Taiwanese adolescents. CyberPsychology and Behavior 9:3 (2006), 317–324.
62. Williams, K., McGillicuddy-De Lisi, A., Coping strategies in adolescents. Journal of Applied Developmental Psychology 20:4 (1999), 537–549.
63. Williams, D., Ducheneaut, N., Xiong, L., Zhang, Y., Yee, N., Nickell, E., From tree house to barracks: The social life of guilds in World of Warcraft. Games and Culture 1:4 (2006), 338–361.
64. Witmer, B.G., Singer, M.J., Measuring presence in virtual environments: A presence questionnaire. Presence: Teleoperators and Virtual Environments, 7(3), 1998, 225–240.
65. Yang, S.C., Tung, C.J., Comparison of Internet addicts and non-addicts in Taiwanese high school. Computers in Human Behavior 23:1 (2007), 79–96.
66. Yen, J.Y., Ko, C.H., Yen, C.F., Wu, H.Y., Yang, M.J., The comorbid psychiatric symptoms of Internet addiction: attention deficit and hyperactivity disorder (ADHD), depression, social phobia, and hostility. Journal of Adolescent Health 41:1 (2007), 93–98.
67. Yen, J.Y., Ko, C.H., Yen, C.F., Chen, S.H., Chung, W.L., Chen, C.C., Psychiatric symptoms in adolescents with Internet addiction: Comparison with substance use. Psychiatry and Clinical Neurosciences 62:1 (2008), 9–16.
68. Young, K., Caught in the net. 1998, Wiley, New York.