The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Internet Addictive Behavior in Adolescence: A Cross-Sectional Study in Seven European Countries
Open accessAbstract
A cross-sectional school-based survey study (N=13,284; 53% females; mean age 15.8±0.7) of 14-17-year-old adolescents was conducted in seven European countries (Greece, Spain, Poland, Germany, Romania, the Netherlands, and Iceland). The aim of the study was to investigate the prevalence of Internet addictive behavior (IAB) and related psychosocial characteristics among adolescents in the participating countries. In the study, we distinguish two problematic groups: adolescents with IAB, characterized by a loss of control over their Internet use, and adolescents "at risk for IAB," showing fewer or weaker symptoms of IAB. The two groups combined form a group of adolescents with dysfunctional Internet behavior (DIB). About 1% of adolescents exhibited IAB and an additional 12.7% were at risk for IAB; thus, in total, 13.9% displayed DIB. The prevalence of DIB was significantly higher among boys than among girls (15.2% vs. 12.7%, p<0.001) and varied widely between countries, from 7.9% in Iceland to 22.8% in Spain. Frequent use of specific online activities (e.g., gambling, social networking, gaming) at least 6 days/week was associated with greater probability of displaying DIB. Multiple logistic regression analysis indicated that DIB was more frequent among adolescents with a lower educational level of the parents, earlier age at first use of the Internet, and greater use of social networking sites and gaming sites. Multiple linear regression analysis showed that externalizing (i.e., behavioral) and internalizing (i.e., emotional) problems were associated with the presence of DIB.
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“Only very recently, the focus has shifted toward younger population groups [22-26].”
From Internet use and access, behavior, cyberbullying, and grooming: Results of an investigative whole city survey of adolescents (2017) · cites this paper as [25]
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Cites
Diagnostic and Statistical Manual of Mental Disorders
American Psychiatric Association (2013) · doi:10.1176/appi.books.9780890425596 · Cited by 116,369
Diagnostic and Statistical Manual of Mental Disorders
American Psychiatric Association (2022) · doi:10.1176/appi.books.9780890425787 · Cited by 23,476
Internet Addiction: The Emergence of a New Clinical Disorder
YOUNG, K. S. (1998) · CyberPsychology & Behavior · doi:10.1089/cpb.1998.1.237 · Cited by 5,513
A cognitive-behavioral model of pathological Internet use
Davis, R. A. (2001) · Computers in Human Behavior · doi:10.1016/s0747-5632(00)00041-8 · Cited by 3,010
Online Social Networking and Addiction—A Review of the Psychological Literature
Kuss, D. J., & Griffiths, M. D. (2011) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph8093528 · Cited by 2,038
Theory and measurement of generalized problematic internet use : A two-step approach
Caplan, S. E. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.03.012 · Cited by 1,061
Unregulated internet usage: addiction, habit, or deficient self-regulation?
LaRose, R., Lin, C. A., & Eastin, M. S. (2003) · Media Psychology · doi:10.1207/s1532785xmep0503_01 · Cited by 868
Green, C. L., Walker, J. M. T., Hoover-Dempsey, K. V., & Sandler, H. M. (2007) · Journal of Educational Psychology · doi:10.1037/0022-0663.99.3.532 · Cited by 803
Kim, K., Ryu, E., Chon, M.-Y., Yeun, E.-J., Choi, S.-Y., Seo, J.-S., & Nam, B.-W. (2006) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2005.02.005 · Cited by 790
Kim, J., LaRose, R., & Peng, W. (2009) · CyberPsychology & Behavior · doi:10.1089/cpb.2008.0327 · Cited by 781
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Research works printed but not linked: 3
- Müller KW, 2010, Suchtmedizin in Forschung und Praxis, 12, 45
- Zboralski K, 2009, Postepy Higieny I Medycyny Doświadczalnej (Online), 63, 8
- Hickman CW, 1995, Journal of Research & Development in Education, 28, 125
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Social media disorder symptoms and violence tendency among adolescents: A cross-sectional study
Altıntaş, H. K., & Ayaz‐Alkaya, S. (2026) · Archives of Psychiatric Nursing · doi:10.1016/j.apnu.2026.152225
Wacławska, N. (2026) · Psychologia Wychowawcza · doi:10.71358/pw.2656
Metadata
- Authors
- Tsitsika, A., Janikian, M., Schoenmakers, T. M., Tzavela, E. C., Ólafsson, K., Wójcik, S., Macarie, G. F., Tzavara, C., The EU NET ADB Consortium, & Richardson, C.
- Affiliations
- Adolescent Health Unit, Second Department of Pediatrics, National and Kapodistrian University of Athens, Athens, Greece.
- National and Kapodistrian University of Athens (GR)
- Erasmus MC (NL)
- University of Akureyri (IS)
- Nobody’s Children Foundation (PL)
- Grigore T. Popa University of Medicine and Pharmacy (RO)
- Panteion University (GR)
- ORCID
- Venue
- Cyberpsychology, Behavior, and Social Networking
- Publisher
- SAGE Publications
- Published
- 2014-08
- Volume
- 17
- Issue
- 8
- Pages
- 528-535
- ISSN
- 2152-2715 (ISSN-L)
- 2152-2723
- OpenAlex
- W2082016850
- Semantic Scholar
- ae2b034d89848dab399b62505d1e47752b520433
- Cited by
- 303
- References
- 42
- Citations by year
- 2026: 10 · 2025: 14 · 2024: 20 · 2023: 31 · 2022: 32 · 2021: 42 · 2020: 36 · 2019: 26 · 2018: 30 · 2017: 21 · 2016: 25 · 2015: 13 · 2014: 3
- FWCI
- 67.31
- Type
- journal article
- Language
- en
- Open access
- green
- www.nivel.nl
- Locations
- Cyberpsychology Behavior and Social Networking (publishedVersion)
- PubMed (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Clinical Psychology › Sexuality, Behavior, and Technology
- Social Sciences › Education › Child Development and Digital Technology
- Keywords
- adolescents, prevalence, at-risk youth, social networking sites, online games, online gambling, sex differences, parental education, externalizing problems, internalizing problems, cross-national comparison
- MeSH terms
- Adolescent, Cross-Sectional Studies, Europe, Female, Humans, Male, Surveys and Questionnaires, Schools, Prevalence, Behavior, Addictive, Internet
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