Literature DB >> 26526444

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

Esther Strittmatter1,2, Peter Parzer1, Romuald Brunner1, Gloria Fischer1, Tony Durkee3, Vladimir Carli3, Christina W Hoven4,5, Camilla Wasserman4,6, Marco Sarchiapone6, Danuta Wasserman3, Franz Resch1, Michael Kaess7.   

Abstract

Longitudinal studies of prospective predictors for pathological Internet use (PIU) in adolescents as well as its course are lacking. This three-wave longitudinal study was conducted within the framework of the European Union-funded project "Saving and Empowering Young Lives in Europe" over a 2-year period. The sample consisted of 1444 students at the baseline investigation (T0); 1202 students after 1 year (T1); and 515 students after 2 years (T2). Structured self-report questionnaires were administered at all three time points. PIU was assessed using the Young Diagnostic Questionnaire (YDQ). In addition, demographic (i.e., gender), social (i.e., parental involvement), psychological (i.e., emotional problems), and Internet use-related factors (i.e., online activities) were assessed as prospective predictors. The prevalence of PIU was 4.3 % at T0, 2.7 % at T1 and 3.1 % at T2. However, only 3 students (0.58 %) had persistent categorical PIU (YDQ score of ≥5) over the 2-year period. In univariate models, a variety of variables that have been previously identified in cross-sectional investigations predicted PIU at T2. However, multivariate regression demonstrated that only previous PIU symptoms and emotional problems were significant predictors of PIU 2 years later (adjusted R (2) 0.23). The stability of categorical PIU in adolescents over 2 years was lower than previously reported. However, current PIU symptoms were the best predictor of later PIU; emotional symptoms also predicted PIU over and above the influence of previous problematic Internet use. Both PIU symptoms and emotional problems may contribute to the vicious cycle that supports the perpetuation of PIU.

Keywords:  Adolescents; Internet addiction; Internet gaming disorder; Longitudinal course; Predictors

Mesh:

Year:  2015        PMID: 26526444     DOI: 10.1007/s00787-015-0779-0

Source DB:  PubMed          Journal:  Eur Child Adolesc Psychiatry        ISSN: 1018-8827            Impact factor:   4.785


  49 in total

1.  Pathological Internet use among adolescents: Comparing gamers and non-gamers.

Authors:  Esther Strittmatter; Michael Kaess; Peter Parzer; Gloria Fischer; Vladimir Carli; Christina W Hoven; Camilla Wasserman; Marco Sarchiapone; Tony Durkee; Alan Apter; Julio Bobes; Romuald Brunner; Doina Cosman; Merike Sisask; Peeter Värnik; Danuta Wasserman
Journal:  Psychiatry Res       Date:  2015-04-30       Impact factor: 3.222

2.  Online communication, compulsive Internet use, and psychosocial well-being among adolescents: a longitudinal study.

Authors:  Regina J J M van den Eijnden; Gert-Jan Meerkerk; Ad A Vermulst; Renske Spijkerman; Rutger C M E Engels
Journal:  Dev Psychol       Date:  2008-05

3.  An international consensus for assessing internet gaming disorder using the new DSM-5 approach.

Authors:  Nancy M Petry; Florian Rehbein; Douglas A Gentile; Jeroen S Lemmens; Hans-Jürgen Rumpf; Thomas Mößle; Gallus Bischof; Ran Tao; Daniel S S Fung; Guilherme Borges; Marc Auriacombe; Angels González Ibáñez; Philip Tam; Charles P O'Brien
Journal:  Addiction       Date:  2014-01-23       Impact factor: 6.526

4.  The Strengths and Difficulties Questionnaire: a research note.

Authors:  R Goodman
Journal:  J Child Psychol Psychiatry       Date:  1997-07       Impact factor: 8.982

Review 5.  Adolescent neurodevelopment.

Authors:  Linda Patia Spear
Journal:  J Adolesc Health       Date:  2013-02       Impact factor: 5.012

6.  Development of cognitive and affective control networks and decision making.

Authors:  Bhoomika R Kar; Nivita Vijay; Shreyasi Mishra
Journal:  Prog Brain Res       Date:  2013       Impact factor: 2.453

7.  Longitudinal patterns of problematic computer game use among adolescents and adults--a 2-year panel study.

Authors:  Michael Scharkow; Ruth Festl; Thorsten Quandt
Journal:  Addiction       Date:  2014-07-15       Impact factor: 6.526

8.  Characteristics of people lost to attrition in psychiatric follow-up studies.

Authors:  E H Fischer; E A Dornelas; J W Goethe
Journal:  J Nerv Ment Dis       Date:  2001-01       Impact factor: 2.254

9.  The Norwegian Institute of Public Health twin study of mental health: examining recruitment and attrition bias.

Authors:  Kristian Tambs; Torbjørn Rønning; C A Prescott; Kenneth S Kendler; Ted Reichborn-Kjennerud; Svenn Torgersen; Jennifer R Harris
Journal:  Twin Res Hum Genet       Date:  2009-04       Impact factor: 1.587

10.  Bidirectional associations between family factors and Internet addiction among adolescents in a prospective investigation.

Authors:  Chih-Hung Ko; Peng-Wei Wang; Tai-Ling Liu; Cheng-Fang Yen; Cheng-Sheng Chen; Ju-Yu Yen
Journal:  Psychiatry Clin Neurosci       Date:  2014-07-07       Impact factor: 5.188

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  24 in total

Review 1.  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

2.  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

Review 3.  Internet gaming disorder: Trends in prevalence 1998-2016.

Authors:  Wendy Feng; Danielle E Ramo; Steven R Chan; James A Bourgeois
Journal:  Addict Behav       Date:  2017-06-16       Impact factor: 3.913

Review 4.  [The epidemiology of mental disorders in youth : A narrative review including Austrian data].

Authors:  Martin Fuchs; Andreas Karwautz
Journal:  Neuropsychiatr       Date:  2017-08-30

5.  The 2-Year Course of Internet Addiction Among a Japanese Adolescent Psychiatric Clinic Sample with Autism Spectrum Disorder and/or Attention-Deficit Hyperactivity Disorder.

Authors:  Ryuhei So; Kazunori Makino; Tomoya Hirota; Masaki Fujiwara; Kozo Ocho; Shin Ikeda; Shouko Tsubouchi; Masatoshi Inagakip
Journal:  J Autism Dev Disord       Date:  2019-11

6.  Pathological Internet Use-An Important Comorbidity in Child and Adolescent Psychiatry: Prevalence and Correlation Patterns in a Naturalistic Sample of Adolescent Inpatients.

Authors:  Martin Fuchs; David Riedl; Astrid Bock; Gerhard Rumpold; Kathrin Sevecke
Journal:  Biomed Res Int       Date:  2018-03-29       Impact factor: 3.411

7.  A Cross-Lagged Study of Developmental Trajectories of Video Game Engagement, Addiction, and Mental Health.

Authors:  Elfrid Krossbakken; Ståle Pallesen; Rune Aune Mentzoni; Daniel Luke King; Helge Molde; Turi Reiten Finserås; Torbjørn Torsheim
Journal:  Front Psychol       Date:  2018-11-21

8.  Association between Internet Addiction and Application Usage among Junior High School Students: A Field Survey.

Authors:  Kentaro Kawabe; Fumie Horiuchi; Rie Hosokawa; Kiwamu Nakachi; Shu-Ichi Ueno
Journal:  Int J Environ Res Public Health       Date:  2021-05-01       Impact factor: 3.390

9.  Video game addiction and psychological distress among expatriate adolescents in Saudi Arabia.

Authors:  Nazmus Saquib; Juliann Saquib; AbdulWaris Wahid; Abdulrahman Akmal Ahmed; Hamad Emad Dhuhayr; Mohamed Saddik Zaghloul; Mohammed Ewid; Abdulrahman Al-Mazrou
Journal:  Addict Behav Rep       Date:  2017-09-28

10.  A cross-sectional survey of internet use among university students.

Authors:  Kristina Adorjan; Simon Langgartner; Maximilian Maywald; Susanne Karch; Oliver Pogarell
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2020-11-16       Impact factor: 5.270

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