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EU-NET-ADB Studying internet addictive behaviour in middle adolscence 1 Katarzyna Zygmunt-Hernandez Nobody’s Children Foundation, Poland
EU-NET-ADB Studying internet addictive behaviour
in middle adolscence
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Katarzyna Zygmunt-Hernandez
Nobody’s Children Foundation, Poland
Problem of Internet Addictive Behaviour
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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
Intern
et Ad
dictive
Beh
aviou
r
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
EU-NET-ADB study
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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.
1 2 3 4 Project aims:
The project is funded by the Safer Internet programme of the European Commission; SI-2010-KEP-4101007
Study design
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EU-NET-ADB
Quantitative part
2000 Questionnaires in each country
Qualitative
part
20 in-depth interviews
N= 14.000 N= 140
Landeszentrale für Medien und Kommunikation Rheinland-Pfalz & University Medical Center Mainz
Germany
Partners participating
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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
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2038 12
1604* 20 1495*
20
1813* 20
2056 20 1310
16
2000* 20
10 136 128
Quantitative study sample Qualitative study sample
* Will be completed
• School-based (10th grade)
• Cover letters (school, children, parents)
• Individual labeled questionnaire sets (IAT≥30)
• Invitation to clinic or institution for a 30-50 minutes semi-structured interview
Qualitative Methodology Process of recruitment
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PART A: Warm up
PART B: Internet use and its evolution
PART C: Needs met
PART D: Self-perceived repercussions
PART E: Personal aims in regard to internet use
Qualitative Methodology Interview schedule
10
First Wave
Interview with 5
participants
EU
PARTNERS
UMC Mainz
First stage of
analysis
translation
In-depth
analysis
Adaption of
interview-
structure
Interview with 5
participants
First stage of
analysis
translation
In-depth
analysis
Adaption of
interview-
structure
Interview with
10 participants
First stage of
analysis
translation
In-depth
analysis
Final analysis
of all interviews
Second Wave Last Wave
Qualitative Methodology
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AHU
Quantitative Methodology Target population
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All adolescents:
• aged 15-16 years
• resident in the territory of every participating country
• attending school (10th grade)
• a nationally representative, randomly selected sample of 2000 adolescent per country
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• Self-administered questionnaires handed out in classrooms
• Anonymous and confidential
• Duration – ca. 45 minutes
Quantitative Methodology Administration
Quantitative Pilot Study
Development of questionnaire
•52 items
•Including IAT and IAS tests
Translation
•2 independent transalators
•Back-translation
Cognitive testing
• Focus groups in each country
• Testing language and cultural context
Pilot study in schools
• 1634 Participants in 7 countries
• Testing questionnaires and procedure
Conclusions
• Adaptation and amelioration of the questionnaire
• Estabilishment of the study procedure
• Choice of IAT test
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Quantitative Methodology EU-NET-ADB Master Questionnaire Design
Socio-demographic
data
Family
School
achievements
Internet usage
characteristics
Time spent online
Parental control
Negative
experience online
(EU-Kids-Online
Questions)
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)
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EU-NET-ADB Timeline
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April-May 2011
Pilot study
November 2011-March 2012
Data collection
April-August 2012
Data analysis
May 2012
Preliminary findings
October 2012
Final findings
Sample structure Gender & Countries
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Male 48% Female
52%
Greece 15%
Spain 15%
Romania 18% Poland
20%
Netherlands
13%
Iceland 20%
N=10136
Preliminary Findings How often do adolescents use the internet?
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<6 days/week 6-7 days/week
All youth 39,5% 60,5%
Male 35,9% 64,1%
Female 42,9% 57,1%
Preliminary Findings How often do adolescents use the internet?
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0% 50% 100%
All youth
Netherlands
Poland
Spain
Romania
Iceland
GreeceNot everyweek
1 day/week
2-3days/week
4-5days/week
6-7days/week
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Preliminary Findings Adolescent who have profile on Social Networking Sites
91,6%
89,8%
93,2%
All youth
Male
Female
Preliminary Findings
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37%
41%
63%
59%
During the past 12 months, didyou ever try to reduce the
hours of internet use?
During the past 12 months,have you used the internetexcessively to the excent ofneglecting other activities?
No Yes
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Preliminary Findings Prevalence of internet addictive behaviours
Borderline internet addictive behaviours
(40-69 points)
Internet addictive behaviours
(70-100 points)
Spain 19.5% 1.5%
Romania 15.0% 1.7%
Poland 11.5% 1.3%
Netherlands 10.9% 0.9%
Greece 9.5% 1.7%
Iceland 6.8% 0.8%
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Preliminary Findings Problematic internet behaviour (Internet Addiction Test≥40)
7,5%
11,2%
11,8%
12,8%
16,6%
20,9%
13,4% All youth
Iceland
Greece
Netherlands
Poland
Romania
Spain
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Normal use (<7 points)
Gaming Abuse (7-13 points)
Gaming Addiction (13.5-27 points)
All youth 83.3% 13.2% 3.4%
Male 78.3% 16.9% 4.7%
Female 92.8% 6.4% 0.9%
Preliminary Findings Prevelence of computer gaming abuse & addiction
(Scale for the assessment of computer game Addiction – AICA-S)
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Preliminary Findings Prevelence of computer gaming abuse & addiction
(Scale for the assessment of computer game Addiction – AICA-S)
All youth
Spain
Netherlands
Romania
Greece
Poland
83,3%
89,8%
81,2%
82,1%
84,3%
80,9%
13,2%
8,4%
15,6%
14,6%
12,4%
14,3%
3,4%
1,7%
3,2%
3,3%
3,3%
4,9%
Normal Abuse Addiction
Thank you for your attention
Find more on:
www.eunetadb.med.uoa.gr
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Contact with EU-NET-ADB Consortium: Artemis Tsitsika ([email protected]) Eleni Tzavela ([email protected]) Szymon Wójcik ([email protected])
