Study protocol of the internet user Cohort for Unbiased Recognition of gaming disorder in Early adolescence (iCURE), Korea, 2015-2019

Hyunsuk Jeong, Hyeon Woo Yim, Sun-Jin Jo, Seung-Yup Lee, Eunjin Kim, Hye Jung Son, Hyun-Ho Han, Hae Kook Lee, Yong-Sil Kweon, Soo-Young Bhang, Jung-Seok Choi, Bung-Nyun Kim, Douglas A Gentile, Marc N Potenza, Hyunsuk Jeong, Hyeon Woo Yim, Sun-Jin Jo, Seung-Yup Lee, Eunjin Kim, Hye Jung Son, Hyun-Ho Han, Hae Kook Lee, Yong-Sil Kweon, Soo-Young Bhang, Jung-Seok Choi, Bung-Nyun Kim, Douglas A Gentile, Marc N Potenza

Abstract

Introduction: In 2013, the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) proposed nine internet gaming disorder (IGD) diagnostic criteria as a condition warranting further empirical and clinical research. The aim of this study is to clarify the natural and clinical courses of IGD proposed DSM-5 in adolescents and to evaluate its risk and protective factors.

Methods and analysis: The Internet user Cohort for Unbiased Recognition of gaming disorder in Early Adolescence (iCURE) study is an ongoing multidisciplinary, prospective, longitudinal cohort study conducted in 21 schools in Korea. Participant recruitment commenced in March 2015 with the goal of registering 3000 adolescents. The baseline assessment included surveys on emotional, social and environmental characteristics. A parent or guardian completed questionnaires and a structured psychiatric comorbidity diagnostic interview regarding their children. Adolescents with the Internet Game Use-Elicited Symptom Screen total scores of 6 or higher were asked to participate in the clinical diagnostic interview. Two subcohorts of adolescents were constructed: a representative subcohort and a clinical evaluation subcohort. The representative subcohort comprises a randomly selected 10% of the iCURE to investigate the clinical course of IGD based on clinical diagnosis and to estimate the false negative rate. The clinical evaluation subcohort comprised participants meeting three or more of the nine IGD criteria, determined by clinical diagnostic interview, to show the clinical course of IGD. Follow-up data will be collected annually for the 3 years following the baseline assessments. The primary endpoint is 2-year incidence, remission and recurrence rates of IGD. Cross-sectional and longitudinal associations between exposures and outcomes as well as mediation factors will be evaluated.

Ethics and dissemination: This study is approved by the Institutional Review Board of the Catholic University of Korea. Results will be published in peer-reviewed journals.

Trial registration number: ClinicalTrials.gov (identifier: NCT02415322).

Keywords: adolescents; cohort; internet gaming disorder; protocol.

Conflict of interest statement

Competing interests: None declared.

© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

References

    1. Entertainment_software_association. 2012 Essential facts about the computer and video game industry. 2012.
    1. Wan CS, Chiou WB. Why are adolestants addicted to online gaming? An interview study in Taiwan. The impact of the Internet, multimedia and virtual reality on behavior and society 2006;9:762–6. 10.1089/cpb.2006.9.762
    1. Wood RT, Griffiths MD. A qualitative investigation of problem gambling as an escape-based coping strategy. Psychol and Psychother 2007;80:107–25. 10.1348/147608306X107881
    1. Kuss DJ, Griffiths MD, Karila L, et al. . Internet addiction: a systematic review of epidemiological research for the last decade. Curr Pharm Des 2014;20:4026–52. 10.2174/13816128113199990617
    1. Boot WR, Kramer AF, Simons DJ, et al. . The effects of video game playing on attention, memory, and executive control. Acta Psychol 2008;129:387–98. 10.1016/j.actpsy.2008.09.005
    1. Witt EA, Massman AJ, Jackson LA. Trends in youth’s videogame playing, overall computer use, and communication technology use: the impact of self-esteem and the big five personality factors. Comput Human Behav 2011;27:763–9. 10.1016/j.chb.2010.10.025
    1. Chan PA, Rabinowitz T. A cross-sectional analysis of video games and attention deficit hyperactivity disorder symptoms in adolescents. Ann Gen Psychiatry 2006;5:16 10.1186/1744-859X-5-16
    1. Desai RA, Krishnan-Sarin S, Cavallo D, et al. . Video-gaming among high school students: health correlates, gender differences, and problematic gaming. Pediatrics 2010;126:e1414–1424. 10.1542/peds.2009-2706
    1. Van Rooij AJ, Schoenmakers TM, Vermulst AA, et al. . Online video game addiction: identification of addicted adolescent gamers. Addiction 2011;106:205–12. 10.1111/j.1360-0443.2010.03104.x
    1. Barnett JaC. Mark virtually real: a psychological perspective on massively multiplayer online games. Review of General Psychology 2010;14:167–79.
    1. Union IT. World Telecommunication/ICT Indicators Database. 17th edition, 2013.
    1. Service KSI. Statistics on internet use. National Information Society Agency (2011) internet addiction survey. Seoul, South Korea: Agency NIS Agency NIS.
    1. Ministry of Culture S, and Tourism. Introduction of regulations of internet game in Korea, 2014.
    1. Choo H, Gentile DA, Sim T, et al. . Pathological video-gaming among singaporean youth. Ann Acad Med Singapore 2010;39:822–9.
    1. Lemmens JS, Valkenburg PM, Gentile DA. The Internet Gaming Disorder Scale. Psychol Assess 2015;27:567–82. 10.1037/pas0000062
    1. Gentile D. Pathological video-game use among youth ages 8 to 18: a national study. Psychol Sci 2009;20:594–602. 10.1111/j.1467-9280.2009.02340.x
    1. Lam LT, Peng ZW, Mai JC, et al. . Factors associated with Internet addiction among adolescents. Cyberpsychol Behav 2009;12:551–5. 10.1089/cpb.2009.0036
    1. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders (DSM-5), 2013.
    1. Petry NM, Rehbein F, Gentile DA, Lemmens JS, et al. . An international consensus for assessing internet gaming disorder using the new DSM-5 approach. Addiction 2014;109:1399–406. 10.1111/add.12457
    1. Griffiths MD, van Rooij AJ, Kardefelt-Winther D, et al. . Working towards an international consensus on criteria for assessing internet gaming disorder: a critical commentary on Petry et al. (2014). Addiction 2016;111:167–75. 10.1111/add.13057
    1. Kardefelt-Winther D, Heeren A, Schimmenti A, et al. . How can we conceptualize behavioural addiction without pathologizing common behaviours? Addiction 2017. (Epub ahead of print 16 Feb 2017). 10.1111/add.13763
    1. Starcevic V. Tolerance and withdrawal symptoms may not be helpful to enhance understanding of behavioural addictions. Addiction 2016;111:1307–8. 10.1111/add.13381
    1. Ko CH, Yen JY, Chen SH, et al. . Evaluation of the diagnostic criteria of Internet gaming disorder in the DSM-5 among young adults in Taiwan. J Psychiatr Res 2014;53:103–10. 10.1016/j.jpsychires.2014.02.008
    1. Kim YS, Cheon KA, Kim BN, et al. . The reliability and validity of Kiddie-Schedule for Affective Disorders and Schizophrenia-Present and Lifetime Version- Korean version (K-SADS-PL-K). Yonsei Med J 2004;45:81–9. 10.3349/ymj.2004.45.1.81
    1. Young KS. The research and controversy surrounding internet addiction. Cyberpsychol Behav 1999;2:381–3. 10.1089/cpb.1999.2.381
    1. Kim DI JY, Lee EA, Kim DM, et al. . Development of internet addiction proneness scale - short form (KS-scale). Korean J Counseling 2008;9:1703–22.
    1. Koo HJ, Han DH, Park SY, et al. . The Structured Clinical Interview for DSM-5 Internet Gaming Disorder: Development and Validation for Diagnosing IGD in Adolescents. Psychiatry Investig 2017;14:21–9. 10.4306/pi.2017.14.1.21
    1. Kwon M, Kim DJ, Cho H, et al. . The smartphone addiction scale: development and validation of a short version for adolescents. PLoS One 2013;8:e83558 10.1371/journal.pone.0083558
    1. Kovacs M, Feinberg TL, Crouse-Novak MA, et al. . Depressive disorders in childhood. I. A longitudinal prospective study of characteristics and recovery. Arch Gen Psychiatry 1984;41:229–37.
    1. Cho S. CJ Development of state - Trait Anxiety Scale for Korean Children. J Med Seoul Natinal University 1989;14:150–7.
    1. Spielberger CD. Manual for the state: Trait Anxiety Inventory for Children. Palo Alto: Consulting Psychologist Press, 1972.
    1. Gj. D. Parent and teacher ratings of ADHD symptoms: psychometric properties in a community-based sample. J Clin Child Psychol 1990;20:245–53.
    1. Kim JW, Park KH, Cheon KA, et al. . The child behavior checklist together with the ADHD rating scale can diagnose ADHD in Korean community-based samples. Can J Psychiatry 2005;50:802–5. 10.1177/070674370505001210
    1. Shaffer D, Fisher P, Lucas CP, et al. . NIMH Diagnostic Interview Schedule for Children Version IV (NIMH DISC-IV): description, differences from previous versions, and reliability of some common diagnoses. J Am Acad Child Adolesc Psychiatry 2000;39:28–38. 10.1097/00004583-200001000-00014
    1. First MB, Spitzer RL, Gibbon M, et al. . Structured Clinical Interview for DSM-IV-TR Axis I Disorders, Research Version, Research Edition. New York: Biometrics Research, New York State Psychiatric Institute , 2002.
    1. Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med 2001;16:606–13.
    1. Rosenberg M. Society and the adolescent self-image. Princeton University Press: Princeton, NJ, 1965.
    1. Gottfredson MR, Hirschi T. A generaltheory of crime. Stanford University Press: Stanford, CA, 1990.
    1. Buss AH, Perry M. The aggression questionnaire. J Pers Soc Psychol 1992;63:452–9. 10.1037/0022-3514.63.3.452
    1. Dubow EF, Tisak J. The relation between stressful life events and adjustment in elementary school children: the role of social support and social problem-solving skills. Child Dev 1989;60:1412–23. 10.2307/1130931
    1. Bienvenu MJ. A parent-adolescent communicaiton inventory. Saluda, NC: Family Life publictions, 1969.
    1. Grych JH, Seid M, Fincham FD. Assessing marital conflict from the child’s perspective: the children’s perception of interparental conflict scale. Child Dev 1992;63:558–72. 10.2307/1131346
    1. Armsden GC, Greenberg MT. The inventory of parent and peer attachment: Individual differences and their relationship to psychological well-being in adolescence. J Youth Adolesc 1987;16:427–54. 10.1007/BF02202939
    1. Gentile DA, Choo H, Liau A, et al. . Pathological video game use among youths: a two-year longitudinal study. Pediatrics 2011;127:e319–29. 10.1542/peds.2010-1353

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