EU-NET-ADB
Studying internet addictive behaviour
in middle adolescence
Katarzyna Zygmunt-Hernandez
Nobody’s Children Foundation, Poland
1
Problem of Internet Addictive
Behaviour
Characteristics:
Lack of
control over
the internet
usage
Negative
consequences
of internet
on life
Dominating
role of
internet in
the life
2
Adolscents as risk group
Huge role of peer
group
Tendency to
experimenting and
risky behaviours
Internet Addictive
Behaviour
Searching for
identity
3
Previous findings
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
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EU-NET-ADB study
Project aims:
1
Evaluate the
prevalence and
determinants of
Internet
addictive
behaviour
among European
adolescents.
2
Assess
qualitatively the
development of
borderline
addictive
Internet use
among
European
adolescents.
3
Increase
awareness
among the wider
public regarding
internet addictive
behaviour
among
European
adolescents
4
Enhance the
knowledge base
required for the
development of
strategies
relating to
Internet addictive
behaviour among
youth in Europe.
The project is funded by the Safer Internet programme of the European Commission;
SI-2010-KEP-4101007
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Study design
EU-NET-ADB
Quantitative
part
Qualitative
part
N= 140
N= 14.000
2000
Questionnaires
in each country
20 in-depth
interviews
6
Partners participating
University of
Akureyi
Iceland
Landeszentrale für Medien und
Kommunikation Rheinland-Pfalz &
University Medical Center Mainz
Germany
IVO Addiction
Research Institute
Netherlands
Nobody’s Children
Foundation
Poland
University of
Medicine and
Pharmacy lasi
Romania
Protegeles
Spain
Adolescent Health Unit
University of Athens
Greece
7
National samples
2038
12
1310
16
2000*
20
Quantitative study sample
Qualitative study sample
1604*
20
* Will be completed
2056
20
1813*
20
10 136
128
1495*
20
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Qualitative Methodology
Process of recruitment
•
•
•
•
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
9
Qualitative Methodology
Interview schedule
PART A:
PART B:
PART C:
PART D:
PART E:
Warm up
Internet use and its evolution
Needs met
Self-perceived repercussions
Personal aims in regard to internet use
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Qualitative Methodology
EU
PARTNERS
UMC Mainz
AHU
First Wave
Second Wave
Last Wave
Interview with 5
participants
Interview with 5
participants
Interview with
10 participants
First stage of
analysis
First stage of
analysis
First stage of
analysis
translation
translation
translation
In-depth
analysis
Adaption of
interviewstructure
In-depth
analysis
Adaption of
interviewstructure
In-depth
analysis
Final analysis
of all interviews
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Quantitative Methodology
Target population
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
12
Quantitative Methodology
Administration
• Self-administered questionnaires handed out in classrooms
• Anonymous and confidential
• Duration – ca. 45 minutes
13
Quantitative Pilot Study
Development of
questionnaire
•52 items
•Including
IAT and IAS
tests
Translation
•2 independent
transalators
•Backtranslation
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
Internet
Addiction Test
K. Young
Socio-demographic
data
Family
South oaks
gambling screen
(SOGS)
Time spent online
School
achievements
Internet usage
characteristics
Parental control
Achenbach’s Youth Self
Report (YSR)
1.
2.
3.
4.
5.
6.
7.
8.
Withdrawal
Somatic complaints
Anxiousness and depression
Social problems
Thinking problems
Attention problems
Deliquent behaviour
Aggressive behaviour
Scale for the
assessment of
computer game
Addiction (AICA-S)
Negative
experience online
(EU-Kids-Online
Questions)
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EU-NET-ADB Timeline
April-May
2011
Pilot study
November 2011March 2012
Data collection
April-August
2012
October
2012
Data
analysis
Final
findings
May 2012
Preliminary
findings
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Sample structure
Gender & Countries
N=10136
17
Preliminary Findings
How often do adolescents use the internet?
<6 days/week
6-7 days/week
All youth
39,5%
60,5%
Male
35,9%
64,1%
Female
42,9%
57,1%
18
Preliminary Findings
How often do adolescents use the internet?
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Preliminary Findings
Adolescent who have profile on Social Networking Sites
20
Preliminary Findings
21
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%
22
Preliminary Findings
Problematic internet behaviour (Internet Addiction Test≥40)
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Preliminary Findings
Prevelence of computer gaming abuse & addiction
(Scale for the assessment of computer game Addiction – AICA-S)
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%
24
Preliminary Findings
Prevelence of computer gaming abuse & addiction
(Scale for the assessment of computer game Addiction – AICA-S)
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Thank you for your attention
Contact with EU-NET-ADB Consortium:
Artemis Tsitsika ([email protected])
Eleni Tzavela ([email protected])
Szymon Wójcik ([email protected])
Find more on:
www.eunetadb.med.uoa.gr
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