Literature DB >> 22621402

Prevalence of pathological internet use among adolescents in Europe: demographic and social factors.

Tony Durkee1, Michael Kaess, Vladimir Carli, Peter Parzer, Camilla Wasserman, Birgitta Floderus, Alan Apter, Judit Balazs, Shira Barzilay, Julio Bobes, Romuald Brunner, Paul Corcoran, Doina Cosman, Padraig Cotter, Romain Despalins, Nadja Graber, Francis Guillemin, Christian Haring, Jean-Pierre Kahn, Laura Mandelli, Dragan Marusic, Gergely Mészáros, George J Musa, Vita Postuvan, Franz Resch, Pilar A Saiz, Merike Sisask, Airi Varnik, Marco Sarchiapone, Christina W Hoven, Danuta Wasserman.   

Abstract

AIMS: To investigate the prevalence of pathological internet use (PIU) and maladaptive internet use (MIU) among adolescents in 11 European countries in relation to demographic, social factors and internet accessibility.
DESIGN: Cross-sectional survey.
SETTING: The 7th Framework European Union (EU) funded project, Saving and Empowering Young Lives in Europe (SEYLE), is a randomized controlled trial (RCT) evaluating interventions for risk behaviours among adolescents in Austria, Estonia, France, Germany, Hungary, Ireland, Israel, Italy, Romania, Slovenia and Spain, with Sweden serving as the coordinating centre. PARTICIPANTS: A total of 11 956 adolescents (female/male: 6731/5225; mean age: 14.9 ± 0.89) recruited from randomly selected schools within the 11 study sites. MEASUREMENTS: Internet users were classified by gender into three categories: adaptive, maladaptive and pathological, based on their score in the Young Diagnostic Questionnaire for Internet Addiction (YDQ).
FINDINGS: The overall prevalence of PIU was 4.4%; it was higher among males than females (5.2% versus 3.8%) and differed between countries (χ(2)  = 309.98; d.f. = 20; P < 0.001). PIU correlated significantly with mean hours online and male gender. The highest-ranked online activities were watching videos, frequenting chatrooms and social networking; significantly higher rates of playing single-user games were found in males and social networking in females. Living in metropolitan areas was associated with PIU. Students not living with a biological parent, low parental involvement and parental unemployment showed the highest relative risks of both MIU and PIU.
CONCLUSIONS: Across a range of countries in Europe, using the Young Diagnostic Questionnaire for Internet Addiction yields a prevalence of 'pathological internet use' of 4.4% among adolescents, but varies by country and gender; adolescents lacking emotional and psychological support are at highest risk.
© 2012 The Authors, Addiction © 2012 Society for the Study of Addiction.

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Year:  2012        PMID: 22621402     DOI: 10.1111/j.1360-0443.2012.03946.x

Source DB:  PubMed          Journal:  Addiction        ISSN: 0965-2140            Impact factor:   6.526


  102 in total

1.  A 2-year longitudinal study of prospective predictors of pathological Internet use in adolescents.

Authors:  Esther Strittmatter; Peter Parzer; Romuald Brunner; Gloria Fischer; Tony Durkee; Vladimir Carli; Christina W Hoven; Camilla Wasserman; Marco Sarchiapone; Danuta Wasserman; Franz Resch; Michael Kaess
Journal:  Eur Child Adolesc Psychiatry       Date:  2015-11-02       Impact factor: 4.785

2.  Excessive internet use in European adolescents: what determines differences in severity?

Authors:  Lukas Blinka; Kateřina Škařupová; Anna Ševčíková; Klaus Wölfling; Kai W Müller; Michael Dreier
Journal:  Int J Public Health       Date:  2014-12-23       Impact factor: 3.380

Review 3.  Behavioral Addictions as Mental Disorders: To Be or Not To Be?

Authors:  Nancy M Petry; Kristyn Zajac; Meredith K Ginley
Journal:  Annu Rev Clin Psychol       Date:  2018-05-07       Impact factor: 18.561

4.  Insecure attachment attitudes in the onset of problematic Internet use among late adolescents.

Authors:  Adriano Schimmenti; Alessia Passanisi; Alessia Maria Gervasi; Sergio Manzella; Francesca Isabella Famà
Journal:  Child Psychiatry Hum Dev       Date:  2014-10

5.  The association between internet addiction and disordered eating attitudes among Turkish high school students.

Authors:  Ahmet Hamdi Alpaslan; Uğur Koçak; Kadriye Avci; Hanife Uzel Taş
Journal:  Eat Weight Disord       Date:  2015-06-07       Impact factor: 4.652

6.  What keeps female problematic Internet users busy online?

Authors:  Claire Piguet; André Berchtold; Christina Akre; Joan-Carles Suris
Journal:  Eur J Pediatr       Date:  2015-03-07       Impact factor: 3.183

7.  Basic Beliefs About Behavioural Addictions Among Finnish and French Treatment Professionals.

Authors:  Anja Koski-Jännes; Laurence Simmat-Durand
Journal:  J Gambl Stud       Date:  2017-12

8.  Prevalence of pathological and maladaptive Internet use and the association with depression and health-related quality of life in Japanese elementary and junior high school-aged children.

Authors:  Michio Takahashi; Masaki Adachi; Tomoko Nishimura; Tomoya Hirota; Sayura Yasuda; Michito Kuribayashi; Kazuhiko Nakamura
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2018-09-25       Impact factor: 4.328

9.  Psychometric properties of the Revised Chen Internet Addiction Scale (CIAS-R) in Chinese adolescents.

Authors:  Kwok-Kei Mak; Ching-Man Lai; Chih-Hung Ko; Chien Chou; Dong-Il Kim; Hiroko Watanabe; Roger C M Ho
Journal:  J Abnorm Child Psychol       Date:  2014-10

10.  [Clinical profile of adolescents being treated for problematic internet use].

Authors:  Magali Dufour; Sylvie R Gagnon; Louise Nadeau; Andrée-Anne Légaré; Émélie Laverdière
Journal:  Can J Psychiatry       Date:  2018-10-02       Impact factor: 4.356

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