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Published in: BMC Public Health 1/2016

Open Access 01-12-2016 | Research article

Internet use and electronic gaming by children and adolescents with emotional and behavioural problems in Australia – results from the second Child and Adolescent Survey of Mental Health and Wellbeing

Authors: Wavne Rikkers, David Lawrence, Jennifer Hafekost, Stephen R. Zubrick

Published in: BMC Public Health | Issue 1/2016

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Abstract

Background

Concerns have been raised of a potential connection between excessive online activity outside the academic realm and increased levels of psychological distress in young people. Young Minds Matter: the second Australian Child and Adolescent Survey of Mental Health and Wellbeing provides estimates of the prevalence of online activity and allows an exploration of associations between this activity, a range of mental disorders, socio-demographic characteristics and risk taking behaviour.

Methods

Based on a randomized nationally representative sample, a household survey of mental health and wellbeing (Young Minds Matter) was conducted in 2013-14. Interviews were conducted with 6,310 parents and carers of 4–17 year-olds (55 % response rate), together with self-report questionnaires completed by 2,967 11–17 year-olds in these households (89 % response rate). The survey identified a range of mental disorders and emotional problems using a variety of diagnostic tools, with the self-report including questions about use of the Internet and electronic games. Five behaviours were measured related to this activity, with ‘problem behaviour’ being defined as exhibiting at least four out of five behaviours.

Results

Levels of Internet use (98.9 %, CI 98.5–99.3 %) and electronic gaming (85.3 %, CI 83.9–86.6 %) were high, and 3.9 % (CI 3.2–4.6 %) of young people reported problem behaviour. The proportion of girls with very high levels of psychological distress and problem behaviour (41.8 %,CI 28.8–54.9 %) was twice that for boys (19.4 %, CI 7.7–31.1 %). Those engaging with a range of risk factors reported higher prevalence of problem behaviour than others. Youth who suffered from emotional problems or high levels of psychological distress spent the most time online or playing games. Multivariate analysis showed associations with problem behaviour and having attempted suicide, experiencing high to very high levels of psychological distress, using alcohol, and living in a poorly functioning family. It was not possible to determine the direction of the associations.

Conclusion

There are links between problem behaviours associated with Internet use and electronic gaming, and mental disorders and risk-taking behaviour in young people. Further studies are required to determine whether these are precursors or sequelae.
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Literature
1.
go back to reference Australian Bureau of Statistics. Children’s participation in cultural and leisure activities, Australia, 2012, cat no. 4901.0. Canberra: ABS; 2012. Australian Bureau of Statistics. Children’s participation in cultural and leisure activities, Australia, 2012, cat no. 4901.0. Canberra: ABS; 2012.
2.
go back to reference Young K, Rogers R. The relationship between depression and Internet addiction. CyberPsychol Behav. 1998;1:25–8.CrossRef Young K, Rogers R. The relationship between depression and Internet addiction. CyberPsychol Behav. 1998;1:25–8.CrossRef
3.
go back to reference Ha J, Kim SY, Bae SC, Bae S, Kim H, Sim M, et al. Depression and Internet addiction in adolescents. Psychopathology. 2007;40:424–30.CrossRefPubMed Ha J, Kim SY, Bae SC, Bae S, Kim H, Sim M, et al. Depression and Internet addiction in adolescents. Psychopathology. 2007;40:424–30.CrossRefPubMed
4.
go back to reference Morrison C, Gore H. The relationship between excessive Internet use and depression: a questionnaire-based study of 1,319 young people and adults. Psychopathology. 2010;43:121–6.CrossRefPubMed Morrison C, Gore H. The relationship between excessive Internet use and depression: a questionnaire-based study of 1,319 young people and adults. Psychopathology. 2010;43:121–6.CrossRefPubMed
6.
go back to reference Shapira N, Goldsmith T, Keck P, Khosla U, McElroy S. Psychiatric features of individuals with problematic Internet use. J Affect Disord. 2000;57:267–72.CrossRefPubMed Shapira N, Goldsmith T, Keck P, Khosla U, McElroy S. Psychiatric features of individuals with problematic Internet use. J Affect Disord. 2000;57:267–72.CrossRefPubMed
7.
go back to reference Hafekost J, Lawrence D, Boterhoven de Haan K, Johnson S, Saw S, Buckingham W, et al. Methodology of Young Minds Matter: The second Australian Child and Adolescent Survey of Mental Health and Wellbeing. Aust NZ J Psychiatry. 2015; doi:10.1177/0004867415622270. Hafekost J, Lawrence D, Boterhoven de Haan K, Johnson S, Saw S, Buckingham W, et al. Methodology of Young Minds Matter: The second Australian Child and Adolescent Survey of Mental Health and Wellbeing. Aust NZ J Psychiatry. 2015; doi:10.​1177/​0004867415622270​.
8.
go back to reference Australian Human Rights Commission. Children’s Rights Report 2014. Sydney: Human Rights Commission; 2014. Australian Human Rights Commission. Children’s Rights Report 2014. Sydney: Human Rights Commission; 2014.
9.
go back to reference Ito M, Baumer S, Bittanti M, Boyd D, Cody R, Herr-Stephenson B, et al. Hanging out, messing around and geeking out: Kids living and learning with new media. Cambridge: The MIT Press; 2010. Ito M, Baumer S, Bittanti M, Boyd D, Cody R, Herr-Stephenson B, et al. Hanging out, messing around and geeking out: Kids living and learning with new media. Cambridge: The MIT Press; 2010.
10.
go back to reference Third A, Bellerose D, Dawkins U, Keltie E, Pihl K. Children’s rights in the digital age: A download from children around the world. Melbourne: Young and Well Cooperative Research Centre; 2014. Third A, Bellerose D, Dawkins U, Keltie E, Pihl K. Children’s rights in the digital age: A download from children around the world. Melbourne: Young and Well Cooperative Research Centre; 2014.
12.
go back to reference Australian Bureau of Statistics. Household use of information technology, Australia, 2012-13, cat. no. 8146.0. Canberra: ABS; 2014. Australian Bureau of Statistics. Household use of information technology, Australia, 2012-13, cat. no. 8146.0. Canberra: ABS; 2014.
13.
go back to reference Brand J, Lorentz P, Mathew T. Digital Australia 2014. Sydney: Interactive Games and Entertainment Association; 2011. Brand J, Lorentz P, Mathew T. Digital Australia 2014. Sydney: Interactive Games and Entertainment Association; 2011.
15.
go back to reference Livingstone S, Haddon L. EU Kids online. J Psychol. 2009;217:236–9. Livingstone S, Haddon L. EU Kids online. J Psychol. 2009;217:236–9.
16.
go back to reference Young K. Internet addiction: The emergence of a new clinical disorder. Toronto: Poster presentation, American Psychiatric Association Annual Congress; 1996. Young K. Internet addiction: The emergence of a new clinical disorder. Toronto: Poster presentation, American Psychiatric Association Annual Congress; 1996.
17.
go back to reference Aboujaoude E, Starcevic V. Mental health in the digital age: grave dangers, great promise. New York: Oxford University Press; 2014. ISBN 978-0-19-938018-3. Aboujaoude E, Starcevic V. Mental health in the digital age: grave dangers, great promise. New York: Oxford University Press; 2014. ISBN 978-0-19-938018-3.
18.
go back to reference 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. J Adolesc Health. 2007;41:93–8.CrossRefPubMed 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. J Adolesc Health. 2007;41:93–8.CrossRefPubMed
19.
go back to reference Greenfield P, Yan Z. Children, adolescents, and the Internet: A new field of inquiry in developmental psychology. Dev Psychol. 2006;42:391–4.CrossRefPubMed Greenfield P, Yan Z. Children, adolescents, and the Internet: A new field of inquiry in developmental psychology. Dev Psychol. 2006;42:391–4.CrossRefPubMed
20.
go back to reference Shapira N, Lessig M, Goldsmith T, Szabo S, Lazoritz M, Gold M, et al. Problematic Internet use: proposed classification and diagnostic criteria. Depress Anxiety. 2003;17:207–16.CrossRefPubMed Shapira N, Lessig M, Goldsmith T, Szabo S, Lazoritz M, Gold M, et al. Problematic Internet use: proposed classification and diagnostic criteria. Depress Anxiety. 2003;17:207–16.CrossRefPubMed
23.
go back to reference Shaw M, Black D. Internet addiction: definition, assessment, epidemiology and clinical management. CNS Drugs. 2008;22:353–65.CrossRefPubMed Shaw M, Black D. Internet addiction: definition, assessment, epidemiology and clinical management. CNS Drugs. 2008;22:353–65.CrossRefPubMed
24.
go back to reference Kuss D, Griffiths M, Karila L, Billieux J. Internet Addiction: A systematic review of epidemiological research for the last decade. Curr Pharm Des. 2014;20:4026–52.CrossRefPubMed Kuss D, Griffiths M, Karila L, Billieux J. Internet Addiction: A systematic review of epidemiological research for the last decade. Curr Pharm Des. 2014;20:4026–52.CrossRefPubMed
26.
go back to reference Do YK, Shin E, Bautista M, Foo K. The associations between self-reported sleep duration and adolescent health outcomes: what is the role of time spent on Internet use? Sleep Med. 2013;14:195–200.CrossRefPubMed Do YK, Shin E, Bautista M, Foo K. The associations between self-reported sleep duration and adolescent health outcomes: what is the role of time spent on Internet use? Sleep Med. 2013;14:195–200.CrossRefPubMed
27.
go back to reference Yoo H, Cho S, Ha J, Yune S, Kim S, Swang J, et al. Attention deficit hyperactivity symptoms and Internet addiction. Psychiat Clin Neuros. 2004;58:487–94.CrossRef Yoo H, Cho S, Ha J, Yune S, Kim S, Swang J, et al. Attention deficit hyperactivity symptoms and Internet addiction. Psychiat Clin Neuros. 2004;58:487–94.CrossRef
28.
go back to reference Kim K, Ryu E, Chon M-Y, Yeun E-J, Choi S-Y, Seo J-S, et al. Internet addiction in Korean adolescents and its relation to depression and suicidal ideation: A questionnaire survey. Int J Nurs Stud. 2006;43:185–92.CrossRefPubMed Kim K, Ryu E, Chon M-Y, Yeun E-J, Choi S-Y, Seo J-S, et al. Internet addiction in Korean adolescents and its relation to depression and suicidal ideation: A questionnaire survey. Int J Nurs Stud. 2006;43:185–92.CrossRefPubMed
29.
go back to reference Tsitsika A, Critselis E, Louizou A, Janikian M, Freskou A, Marangou E, et al. Determinants of Internet addiction among adolescents: a case-control study. Sci World J. 2011;11:866–74.CrossRef Tsitsika A, Critselis E, Louizou A, Janikian M, Freskou A, Marangou E, et al. Determinants of Internet addiction among adolescents: a case-control study. Sci World J. 2011;11:866–74.CrossRef
31.
go back to reference Davis R. A cognitive-behavioral model of pathological Internet use. Comput Human Behav. 2001;17:187–95.CrossRef Davis R. A cognitive-behavioral model of pathological Internet use. Comput Human Behav. 2001;17:187–95.CrossRef
32.
go back to reference Morahan-Martin J, Alexander C, Mitchell KJ. The relationship between loneliness and internet use and abuse. CyberPsychol Behav. 1999;2:431–40.CrossRefPubMed Morahan-Martin J, Alexander C, Mitchell KJ. The relationship between loneliness and internet use and abuse. CyberPsychol Behav. 1999;2:431–40.CrossRefPubMed
35.
go back to reference Kraut R, Patterson M, Lundmark V, Kiesler S, Mukopadhyay T, Scherlis W. Internet paradox: a social technology that reduces social involvement and psychological well-being? Am Psychol. 1998;53:1017–31.CrossRefPubMed Kraut R, Patterson M, Lundmark V, Kiesler S, Mukopadhyay T, Scherlis W. Internet paradox: a social technology that reduces social involvement and psychological well-being? Am Psychol. 1998;53:1017–31.CrossRefPubMed
36.
go back to reference Kraut R, Kiesler S, Boneva B, Cummings J, Helgeson V. Internet paradox revisited. J Soc Issues. 2002;58:49–74.CrossRef Kraut R, Kiesler S, Boneva B, Cummings J, Helgeson V. Internet paradox revisited. J Soc Issues. 2002;58:49–74.CrossRef
37.
go back to reference Kim J, LaRose R, Peng W. Loneliness as the cause and the effect of problematic Internet use: the relationship between Internet use and psychological well-being. CyberPsychol Behav. 2009;12:451–5.CrossRefPubMed Kim J, LaRose R, Peng W. Loneliness as the cause and the effect of problematic Internet use: the relationship between Internet use and psychological well-being. CyberPsychol Behav. 2009;12:451–5.CrossRefPubMed
38.
go back to reference Pratarelli M, Browne B, Johnson K. The bits and bytes of computer/Internet addiction: A factor analytic approach. Behav Res Methods Instrum Comput. 1999;31:305–14.CrossRefPubMed Pratarelli M, Browne B, Johnson K. The bits and bytes of computer/Internet addiction: A factor analytic approach. Behav Res Methods Instrum Comput. 1999;31:305–14.CrossRefPubMed
39.
go back to reference Lawrence D, Hafekost J, Johnson SE, Saw S, Buckingham W, Sawyer M, et al. Key findings from the second Australian child and Adolescent Survey of Mental Health and Wellbeing. Aust NZ J Psychiatry. 2015; doi:10.1177/0004867415617836. Lawrence D, Hafekost J, Johnson SE, Saw S, Buckingham W, Sawyer M, et al. Key findings from the second Australian child and Adolescent Survey of Mental Health and Wellbeing. Aust NZ J Psychiatry. 2015; doi:10.​1177/​0004867415617836​.
40.
go back to reference Sawyer M, Arney F, Baghurst P, Clark J, Graetz B, Kosky R, et al. Mental health of young people in Australia: key findings from the Child and Adolescent Component of the National Survey of Mental Health and Well-being. Aust NZ J Psychiatry. 2001;35:806–14.CrossRef Sawyer M, Arney F, Baghurst P, Clark J, Graetz B, Kosky R, et al. Mental health of young people in Australia: key findings from the Child and Adolescent Component of the National Survey of Mental Health and Well-being. Aust NZ J Psychiatry. 2001;35:806–14.CrossRef
41.
go back to reference Yen J-Y, Ko C-H, Yen C-F, Chen C-S, Chen C-C. The association between harmful alcohol use and Internet addiction among college students: comparison of personality. Psychiat Clin Neuros. 2009;63:218–21.CrossRef Yen J-Y, Ko C-H, Yen C-F, Chen C-S, Chen C-C. The association between harmful alcohol use and Internet addiction among college students: comparison of personality. Psychiat Clin Neuros. 2009;63:218–21.CrossRef
42.
go back to reference Alacam H, Culha Atesci F, Sengul A, Tumkaya S. The relationship between smoking and alcohol use and Internet addiction among the university students. Anadolu Psikiyatr De-Anatolian Journal of Psychiatry. 2015;16(6):383–8.CrossRef Alacam H, Culha Atesci F, Sengul A, Tumkaya S. The relationship between smoking and alcohol use and Internet addiction among the university students. Anadolu Psikiyatr De-Anatolian Journal of Psychiatry. 2015;16(6):383–8.CrossRef
43.
go back to reference Weinstein A, Lejoyeux M. Internet Addiction or excessive Internet use. Am J Drug Alcohol Ab. 2010. Early Online:1-7. Weinstein A, Lejoyeux M. Internet Addiction or excessive Internet use. Am J Drug Alcohol Ab. 2010. Early Online:1-7.
44.
go back to reference Sung J, Lee J, Noh H-M, Park Y, Ahn E. Associations between the risk of Internet addiction and problem behaviours among Korean adolescents. Korean J Fam Med. 2013;34:115–22.CrossRefPubMedPubMedCentral Sung J, Lee J, Noh H-M, Park Y, Ahn E. Associations between the risk of Internet addiction and problem behaviours among Korean adolescents. Korean J Fam Med. 2013;34:115–22.CrossRefPubMedPubMedCentral
45.
go back to reference Ko C-H, Yen J-Y, Chen C-C, Chen S-H, Wu K, Yen C-F. Tridimensional personality of adolescents with Internet addiction and substance use experience. Can J Psychiat. 2006;51:887–94.CrossRef Ko C-H, Yen J-Y, Chen C-C, Chen S-H, Wu K, Yen C-F. Tridimensional personality of adolescents with Internet addiction and substance use experience. Can J Psychiat. 2006;51:887–94.CrossRef
46.
go back to reference Ko C-H, Yen J-Y, Yen C-F, Lin H-C, Yan M-J. Factors predictive for incidence and remission of Internet addiction in young adolescents: a prospective study. CyberPsychol Behav. 2007; doi:10.1089/cpb.2007.9992. Ko C-H, Yen J-Y, Yen C-F, Lin H-C, Yan M-J. Factors predictive for incidence and remission of Internet addiction in young adolescents: a prospective study. CyberPsychol Behav. 2007; doi:10.​1089/​cpb.​2007.​9992.
47.
go back to reference Ko C-H, Yen J-Y, Yen C-F, Chen C-S, Weng C-C, Chen C-C. The association between Internet addiction and problematic alcohol use in adolescents: The problem behaviour model. CyberPsychol Behav. 2008;11(5):571–6.CrossRefPubMed Ko C-H, Yen J-Y, Yen C-F, Chen C-S, Weng C-C, Chen C-C. The association between Internet addiction and problematic alcohol use in adolescents: The problem behaviour model. CyberPsychol Behav. 2008;11(5):571–6.CrossRefPubMed
48.
go back to reference Burns J, Davenport T, Durkin L, Luscombe G, Hickie I. The Internet as a setting for mental health service utilization by young people. Med J Australia. 2010;192:S22–6.PubMed Burns J, Davenport T, Durkin L, Luscombe G, Hickie I. The Internet as a setting for mental health service utilization by young people. Med J Australia. 2010;192:S22–6.PubMed
49.
go back to reference Johnson S, Lawrence D, Hafekost J, Saw S, Buckingham W, Sawyer M, et al. Service use by Australian children for emotional and behavioural problems: Findings from the second Child and Adolescent Survey of Mental Health and Wellbeing, 2013-14. Aust NZ J Psychiatry. 2015; doi:10.1177/0004867415622562. Johnson S, Lawrence D, Hafekost J, Saw S, Buckingham W, Sawyer M, et al. Service use by Australian children for emotional and behavioural problems: Findings from the second Child and Adolescent Survey of Mental Health and Wellbeing, 2013-14. Aust NZ J Psychiatry. 2015; doi:10.​1177/​0004867415622562​.
50.
go back to reference Kuss D, van Rooij A, Shorter G, Griffiths M, van de Mheen D. Internet addiction in adolescents: Prevalence and risk factors. Comput Human Behav. 2013;29:1987–1998.CrossRef Kuss D, van Rooij A, Shorter G, Griffiths M, van de Mheen D. Internet addiction in adolescents: Prevalence and risk factors. Comput Human Behav. 2013;29:1987–1998.CrossRef
51.
go back to reference Johansson A, Goetestam K. Internet addiction: characteristics of a questionnaire and prevalence in Norwegian Youth (12-18 Years). Scand J Psychol. 2004;45:223–9.CrossRefPubMed Johansson A, Goetestam K. Internet addiction: characteristics of a questionnaire and prevalence in Norwegian Youth (12-18 Years). Scand J Psychol. 2004;45:223–9.CrossRefPubMed
52.
go back to reference Kaltiala-Heino R, Lintonen T, Rimpela A. Internet addiction? Potentially problematic use of the Internet in a population of 12-18 year-old adolescents. Addict Res & Theory. 2004;12:89–96.CrossRef Kaltiala-Heino R, Lintonen T, Rimpela A. Internet addiction? Potentially problematic use of the Internet in a population of 12-18 year-old adolescents. Addict Res & Theory. 2004;12:89–96.CrossRef
53.
go back to reference Ford T, Goodman R, Meltzer H. The British Child and Adolescent Mental Health Survey 1999: The Prevalence of DSM-IV Disorders. J Am Acad Child Adolesc Psychiatry. 2003;42(10):1203–11.CrossRefPubMed Ford T, Goodman R, Meltzer H. The British Child and Adolescent Mental Health Survey 1999: The Prevalence of DSM-IV Disorders. J Am Acad Child Adolesc Psychiatry. 2003;42(10):1203–11.CrossRefPubMed
54.
go back to reference Chen S, Weng L, Su Y, Wu H, Yang P. Development of a Chinese Internet addiction scale and its psychometric study. Chin J Psychol. 2003;45:279–94. Chen S, Weng L, Su Y, Wu H, Yang P. Development of a Chinese Internet addiction scale and its psychometric study. Chin J Psychol. 2003;45:279–94.
55.
go back to reference Shaffer D, Fisher P, Lucas C, Dulcan M, Schwab-Stone M. 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 Psychiat. 2000;39:28–38.CrossRef Shaffer D, Fisher P, Lucas C, Dulcan M, Schwab-Stone M. 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 Psychiat. 2000;39:28–38.CrossRef
56.
go back to reference American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision. Washington, DC: American Psychiatric Association; 2000.CrossRef American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision. Washington, DC: American Psychiatric Association; 2000.CrossRef
57.
go back to reference Kessler RC, Barker PR, Colpe LJ, Epstein JF, Gfroerer JC, Hiripi E, et al. Screening for serious mental illness in the general population. Arch Gen Psychiat. 2003;60:184–9.CrossRefPubMed Kessler RC, Barker PR, Colpe LJ, Epstein JF, Gfroerer JC, Hiripi E, et al. Screening for serious mental illness in the general population. Arch Gen Psychiat. 2003;60:184–9.CrossRefPubMed
58.
go back to reference Goodman R. The Strengths and Difficulties Questionnaire: A Research Note. J Child Psychol Psychiat. 1997;38:581–6.CrossRefPubMed Goodman R. The Strengths and Difficulties Questionnaire: A Research Note. J Child Psychol Psychiat. 1997;38:581–6.CrossRefPubMed
60.
go back to reference Kolbe L, Kann L, Collins J. Overview of the Youth Risk Behavior Surveillance System. Public Health Rep. 1993;108 Suppl 1:2–10.PubMedPubMedCentral Kolbe L, Kann L, Collins J. Overview of the Youth Risk Behavior Surveillance System. Public Health Rep. 1993;108 Suppl 1:2–10.PubMedPubMedCentral
61.
go back to reference Golding J, Pembrey M, Jones R. ALSPAC – The Avon Longitudinal Study of Parents and Children. Paediatr Perinat Ep. 2001;15:74–87.CrossRef Golding J, Pembrey M, Jones R. ALSPAC – The Avon Longitudinal Study of Parents and Children. Paediatr Perinat Ep. 2001;15:74–87.CrossRef
62.
go back to reference Australian Bureau of Statistics. Australian Statistical Geography Standard (ASGS): Volume 5 – Remoteness Structure, July 2011, cat. no. 1270.0.55.005. Canberra: ABS; 2013. Australian Bureau of Statistics. Australian Statistical Geography Standard (ASGS): Volume 5 – Remoteness Structure, July 2011, cat. no. 1270.0.55.005. Canberra: ABS; 2013.
63.
go back to reference Boterhoven De Haan K, Hafekost J, Lawrence D, Sawyer M, Zubrick S. Reliability and validity of a short version of the general functioning subscale of the McMaster Family Assessment Device. Fam Process. 2015;54:116–23.CrossRefPubMed Boterhoven De Haan K, Hafekost J, Lawrence D, Sawyer M, Zubrick S. Reliability and validity of a short version of the general functioning subscale of the McMaster Family Assessment Device. Fam Process. 2015;54:116–23.CrossRefPubMed
65.
go back to reference SAS Institute Inc. SAS/STAT Software, Version 9.4. Cary: SAS Institute Inc; 2014. SAS Institute Inc. SAS/STAT Software, Version 9.4. Cary: SAS Institute Inc; 2014.
66.
go back to reference Wong T, Yen K, Li W. A basic need theory approach to problematic Internet use and the mediating effect of psychological distress. Front Psychol. 2015;5:1–10.CrossRef Wong T, Yen K, Li W. A basic need theory approach to problematic Internet use and the mediating effect of psychological distress. Front Psychol. 2015;5:1–10.CrossRef
67.
go back to reference Yang S, Tung C-J. Comparison of Internet addicts and non-addicts in Taiwanese high school. Comput Human Behav. 2007;23:79–96.CrossRef Yang S, Tung C-J. Comparison of Internet addicts and non-addicts in Taiwanese high school. Comput Human Behav. 2007;23:79–96.CrossRef
68.
go back to reference Strittmatter E, Kaess M, Parzer P, Fischer G, Carli V, Hoven C, et al. Pathological Internet use among adolescents: Comparing gamers and non-gamers. Psychiat Res. 2015;228:128–35.CrossRef Strittmatter E, Kaess M, Parzer P, Fischer G, Carli V, Hoven C, et al. Pathological Internet use among adolescents: Comparing gamers and non-gamers. Psychiat Res. 2015;228:128–35.CrossRef
69.
go back to reference Lam L, Peng Z, Mai J, Jing J. The association between Internet addiction and self-injurious behaviour among adolescents. Injury Prev. 2009;15:403–8.CrossRef Lam L, Peng Z, Mai J, Jing J. The association between Internet addiction and self-injurious behaviour among adolescents. Injury Prev. 2009;15:403–8.CrossRef
70.
go back to reference Kim Y, Park J, Kim SB, Jung I-K, Lim Y, Kim J-H. The effects of Internet addiction on the lifestyle and dietary behaviour of Korean adolescents. Nutr Res Practice. 2010;4(1):51–7.CrossRef Kim Y, Park J, Kim SB, Jung I-K, Lim Y, Kim J-H. The effects of Internet addiction on the lifestyle and dietary behaviour of Korean adolescents. Nutr Res Practice. 2010;4(1):51–7.CrossRef
71.
go back to reference Yen J-Y, Yen C-F, Chen C-C, Chen S-H, Ko C-H. Family factors of Internet addiction and substance use experience in Taiwanese adolescents. CyberPsychol Behav. 2007;10(3):323–9.CrossRefPubMed Yen J-Y, Yen C-F, Chen C-C, Chen S-H, Ko C-H. Family factors of Internet addiction and substance use experience in Taiwanese adolescents. CyberPsychol Behav. 2007;10(3):323–9.CrossRefPubMed
72.
go back to reference Xiuqin H, Huimin Z, Mengchen L, Jinan W, Ying Z, Ran T. Mental health, personality, and parental rearing styles of adolescents with Internet Addiction disorder. CyberPsychol Behav. 2010;13(4):401–6.CrossRef Xiuqin H, Huimin Z, Mengchen L, Jinan W, Ying Z, Ran T. Mental health, personality, and parental rearing styles of adolescents with Internet Addiction disorder. CyberPsychol Behav. 2010;13(4):401–6.CrossRef
73.
go back to reference Koo HJ, Kwon J-H. Risk and protective factors of Internet addiction: a meta-analysis of empirical studies in Korea. Yonsei Med J. 2014;55(6):1691–711.CrossRefPubMedPubMedCentral Koo HJ, Kwon J-H. Risk and protective factors of Internet addiction: a meta-analysis of empirical studies in Korea. Yonsei Med J. 2014;55(6):1691–711.CrossRefPubMedPubMedCentral
74.
go back to reference Liu T, Desai R, Krishnan-Sarin S, Cavallo D, Potenza M. Problematic Internet use and health in adolescents: data from a high school survey in Connecticut. J Clin Psychiat. 2011;72:836–45.CrossRef Liu T, Desai R, Krishnan-Sarin S, Cavallo D, Potenza M. Problematic Internet use and health in adolescents: data from a high school survey in Connecticut. J Clin Psychiat. 2011;72:836–45.CrossRef
75.
go back to reference Yen J-Y, Yen C-F, Chen C-S, Tan T-C, Ko C-H. The association between adult ADHD symptoms and Internet addiction among college students: the gender difference. CyberPsychol Behav. 2009;12(2):187–191.CrossRefPubMed Yen J-Y, Yen C-F, Chen C-S, Tan T-C, Ko C-H. The association between adult ADHD symptoms and Internet addiction among college students: the gender difference. CyberPsychol Behav. 2009;12(2):187–191.CrossRefPubMed
76.
77.
go back to reference Ko C, Yen J, Chen C, Yeh Y-C, Yen C-F. Predictive values of psychiatric symptoms for Internet addiction in adolescents. Arch Pediat Adol Med. 2009;163:937–43.CrossRef Ko C, Yen J, Chen C, Yeh Y-C, Yen C-F. Predictive values of psychiatric symptoms for Internet addiction in adolescents. Arch Pediat Adol Med. 2009;163:937–43.CrossRef
78.
go back to reference Hawi N. Internet addiction among adolescents in Lebanon. Comput Human Behav. 2012;28:1044–53.CrossRef Hawi N. Internet addiction among adolescents in Lebanon. Comput Human Behav. 2012;28:1044–53.CrossRef
79.
go back to reference Ybarra MI, Alexander C, Mitchell K. Depressive symptomatology, youth Internet use, and online interactions: a national survey. J Adolesc Health. 2005;36:9–18.CrossRefPubMed Ybarra MI, Alexander C, Mitchell K. Depressive symptomatology, youth Internet use, and online interactions: a national survey. J Adolesc Health. 2005;36:9–18.CrossRefPubMed
80.
go back to reference Aa N, Overbeek G, Engels RC, Scholte R, Meerkerk G-J, Van den Eijnden R. Daily and compulsive Internet use and well-being in adolescence: a diathesis-stress model based on big five personality traits. J Youth Adolesc. 2009;38:765–76.CrossRefPubMed Aa N, Overbeek G, Engels RC, Scholte R, Meerkerk G-J, Van den Eijnden R. Daily and compulsive Internet use and well-being in adolescence: a diathesis-stress model based on big five personality traits. J Youth Adolesc. 2009;38:765–76.CrossRefPubMed
81.
go back to reference Li D, Zhang W, Li X, Zhen S, Wang Y. Stressful life events and problematic Internet use by adolescent females and males: A mediated moderation model. Comput Hum Behav. 2010;26:1199–207.CrossRef Li D, Zhang W, Li X, Zhen S, Wang Y. Stressful life events and problematic Internet use by adolescent females and males: A mediated moderation model. Comput Hum Behav. 2010;26:1199–207.CrossRef
82.
go back to reference Shaw L, Gant L. Users divided? Exploring the gender gap in Internet use. CyberPsychol Behav. 2002;5:517–27.CrossRefPubMed Shaw L, Gant L. Users divided? Exploring the gender gap in Internet use. CyberPsychol Behav. 2002;5:517–27.CrossRefPubMed
84.
go back to reference Durkee T, Kaess M, Carli V, Parzer P, Wasserman C, Floderus B, et al. Prevalence of pathological Internet use among adolescents in Europe: demographic and social factors. Addiction. 2012;107:2210–22.CrossRefPubMed Durkee T, Kaess M, Carli V, Parzer P, Wasserman C, Floderus B, et al. Prevalence of pathological Internet use among adolescents in Europe: demographic and social factors. Addiction. 2012;107:2210–22.CrossRefPubMed
85.
go back to reference Ko C-H, Yen J-Y, Yen C-F, Chen S-H, Yen C-F. Gender differences and related factors affecting online gaming addiction among Taiwanese adolescents. J Nerv Ment Dis. 2005;193:273–7.CrossRefPubMed Ko C-H, Yen J-Y, Yen C-F, Chen S-H, Yen C-F. Gender differences and related factors affecting online gaming addiction among Taiwanese adolescents. J Nerv Ment Dis. 2005;193:273–7.CrossRefPubMed
86.
go back to reference Chen S-Y, Fu Y-C. Internet use and academic achievement: gender differences in early adolescence. Adolescence. 2009;44:797–812.PubMed Chen S-Y, Fu Y-C. Internet use and academic achievement: gender differences in early adolescence. Adolescence. 2009;44:797–812.PubMed
88.
go back to reference Weiser E. Gender differences in Internet use patterns and Internet application preferences: a two-sample comparison. CyberPsychol. 2000;3(2):167–78.CrossRef Weiser E. Gender differences in Internet use patterns and Internet application preferences: a two-sample comparison. CyberPsychol. 2000;3(2):167–78.CrossRef
90.
go back to reference Holstein B, Pedersen T, Bendtsen P, Madsen K, Meilstrup C, Nielsen L, et al. Perceived problems with computer gaming and Internet use among adolescents: measurement tool for non-clinical survey studies. BMC Public Health. 2014;14:361.CrossRefPubMedPubMedCentral Holstein B, Pedersen T, Bendtsen P, Madsen K, Meilstrup C, Nielsen L, et al. Perceived problems with computer gaming and Internet use among adolescents: measurement tool for non-clinical survey studies. BMC Public Health. 2014;14:361.CrossRefPubMedPubMedCentral
91.
go back to reference Eaton N, Krueger R, Skodol A, Grant B, Keyes K, Balsis S, et al. An invariant dimensional liability model of gender differences in mental disorder prevalence: evidence from a national sample. J Abnorm Psychol. 2012;121:282–8.CrossRefPubMed Eaton N, Krueger R, Skodol A, Grant B, Keyes K, Balsis S, et al. An invariant dimensional liability model of gender differences in mental disorder prevalence: evidence from a national sample. J Abnorm Psychol. 2012;121:282–8.CrossRefPubMed
93.
go back to reference Patton G, Coffey C, Romaniuk H, Mackinnon A, Carlin J, Degenhardt L, et al. The prognosis of common mental disorders in adolescents: a 14-year prospective cohort study. Lancet. 2014;383:1404–11.CrossRefPubMed Patton G, Coffey C, Romaniuk H, Mackinnon A, Carlin J, Degenhardt L, et al. The prognosis of common mental disorders in adolescents: a 14-year prospective cohort study. Lancet. 2014;383:1404–11.CrossRefPubMed
94.
go back to reference Muller K, Beutel M, Egloff B, Wolfling K. Investigating risk factors for Internet Gaming Disorder: a comparison of patients with addictive gaming, pathological gamblers and health controls regarding the Big Five personality traits. Eur Addict Res. 2014;20:129–36.CrossRefPubMed Muller K, Beutel M, Egloff B, Wolfling K. Investigating risk factors for Internet Gaming Disorder: a comparison of patients with addictive gaming, pathological gamblers and health controls regarding the Big Five personality traits. Eur Addict Res. 2014;20:129–36.CrossRefPubMed
95.
go back to reference Fisher PW, Shaffer D, Paicentini JC, Lapkin J, Kafantaris V, Leonard H, et al. Sensitivity of the Diagnostic Interview Schedule for Children, 2nd edition (DISC-2.1) for specific diagnoses of children and adolescents. J Am Acad Child Psy. 1993;32:666–73.CrossRef Fisher PW, Shaffer D, Paicentini JC, Lapkin J, Kafantaris V, Leonard H, et al. Sensitivity of the Diagnostic Interview Schedule for Children, 2nd edition (DISC-2.1) for specific diagnoses of children and adolescents. J Am Acad Child Psy. 1993;32:666–73.CrossRef
98.
go back to reference Yu JJ, Kim H, Hay I. Understanding adolescents’ problematic Internet use from a social/cognitive and addiction research framework. Comput Human Behav. 2013;29:2682–9.CrossRef Yu JJ, Kim H, Hay I. Understanding adolescents’ problematic Internet use from a social/cognitive and addiction research framework. Comput Human Behav. 2013;29:2682–9.CrossRef
Metadata
Title
Internet use and electronic gaming by children and adolescents with emotional and behavioural problems in Australia – results from the second Child and Adolescent Survey of Mental Health and Wellbeing
Authors
Wavne Rikkers
David Lawrence
Jennifer Hafekost
Stephen R. Zubrick
Publication date
01-12-2016
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2016
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-016-3058-1

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