EU-NET-ADB Research on the intensity and prevalence of internet addictive behavior risk among minors in Europe 1.

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EU-NET-ADB Research on the intensity and prevalence of internet addictive behavior risk among minors in Europe 1

Problem of Internet Addictive Behaviour 2 Lack of control over the internet usage Negative con- sequences of internet on life Dominating role of internet in the life Characteristics:

Adolscents as risk group 3 Searching for identity Huge role of peer group Tendency to experimenting and risky behaviours Internet Addictive Behaviour

Previous findings 4 Excessive use of the internet among children in 27 European countries Question: How often have these things happened to you? Source: S. Livingstone et al. (2011), Risks and Safety in the Internet, EU Kids Online study

Previous findings 5 CountryInternet Addictive Behaviour Prevalence Rate Reference Greece1%Tsitsika, et al. (2008) Norway1,98%Johansson & Gotestam (2004) Italy5,4%Ferraro, et al. (2007) Romania1,4%Roe & Muijs (1998) The Netherlands1%Meerkerk, et al. (2010) Germany5,1%Müller & Wölfling (2010) China13,7%Block (2008) South Korea18,4%Kim & Kim (2002)

EU-NET-ADB study 6 Evaluate the prevalence and determinants of Internet addictive behaviour among European adolescents. Assess qualitatively the development of borderline addictive Internet use among European adolescents. Increase awareness among the wider public regarding internet addictive behaviour among European adolescents Enhance the knowledge base required for the development of strategies relating to Internet addictive behaviour among youth in Europe Project aims:

Study design 7 EU-NET-ADB Quantitative part 2000 Questionnaires in each country Qualitative part 20 in-depth interviews

Landeszentrale für Medien und Kommunikation Rheinland-Pfalz & University Medical Center Mainz Germany Partners participating 8 University of Akureyi Iceland Protegeles Spain Adolescent Health Unit University of Athens Greece University of Medicine and Pharmacy lasi Romania Nobody’s Children Foundation Poland IVO Addiction Research Institute Netherlands

National samples Quantitative study sample Qualitative study sample

Some variables measured in the EU-NET-ADB study Socio-demographic data Family School achievements Internet usage characteristics Time spent online Parental control Negative experience online Internet Addiction Test K. Young Achenbach’s Youth Self Report (YSR) 1.Withdrawal 2.Somatic complaints 3.Anxiousness and depression 4.Social problems 5.Thinking problems 6.Attention problems 7.Deliquent behaviour 8.Aggressive behaviour Scale for the assessment of computer game Addiction (AICA-S) South oaks gambling screen (SOGS) 10

EU-NET-ADB Timeline 11 March-August 2012 Data analysis May 2012 Preliminary findings September 2012 Final findings

Thank you for your attention Find more on: 12