The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Internet addiction and problematic Internet use: A systematic review of clinical research
Open accessAbstract
AIM: To provide a comprehensive overview of clinical studies on the clinical picture of Internet-use related addictions from a holistic perspective. A literature search was conducted using the database Web of Science. METHODS: Over the last 15 years, the number of Internet users has increased by 1000%, and at the same time, research on addictive Internet use has proliferated. Internet addiction has not yet been understood very well, and research on its etiology and natural history is still in its infancy. In 2013, the American Psychiatric Association included Internet Gaming Disorder in the appendix of the updated version of the Diagnostic and Statistical Manual for Mental Disorders (DSM-5) as condition that requires further research prior to official inclusion in the main manual, with important repercussions for research and treatment. To date, reviews have focused on clinical and treatment studies of Internet addiction and Internet Gaming Disorder. This arguably limits the analysis to a specific diagnosis of a potential disorder that has not yet been officially recognised in the Western world, rather than a comprehensive and inclusive investigation of Internet-use related addictions (including problematic Internet use) more generally. RESULTS: The systematic literature review identified a total of 46 relevant studies. The included studies used clinical samples, and focused on characteristics of treatment seekers and online addiction treatment. Four main types of clinical research studies were identified, namely research involving (1) treatment seeker characteristics; (2) psychopharmacotherapy; (3) psychological therapy; and (4) combined treatment. CONCLUSION: A consensus regarding diagnostic criteria and measures is needed to improve reliability across studies and to develop effective and efficient treatment approaches for treatment seekers.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Diagnostic and Statistical Manual of Mental Disorders
American Psychiatric Association (2013) · doi:10.1176/appi.books.9780890425596 · Cited by 116,369
An inventory for measuring depression
BECK, A. T. (1961) · Archives of General Psychiatry · doi:10.1001/archpsyc.1961.01710120031004 · Cited by 38,032
Hamilton, M. (1960) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.23.1.56 · Cited by 32,817
Society and the Adolescent Self-Image
Rosenberg, M. (1965) · doi:10.1515/9781400876136 · Cited by 30,126
An inventory for measuring clinical anxiety: Psychometric properties.
Beck, A. T., Epstein, N., Brown, G., & Steer, R. A. (1988) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.56.6.893 · Cited by 14,407
The assessment of anxiety states by rating
HAMILTON, M. (1959) · British Journal of Medical Psychology · doi:10.1111/j.2044-8341.1959.tb00467.x · Cited by 11,455
Spitzer, R. L. (1999) · JAMA · doi:10.1001/jama.282.18.1737 · Cited by 9,802
The Yale-Brown Obsessive Compulsive Scale: I. Development, Use, and Reliability
Goodman, W. K. (1989) · Archives of General Psychiatry · doi:10.1001/archpsyc.1989.01810110048007 · Cited by 7,712
Beck, A. T., Steer, R. A., & Brown, G. (2011) · PsycTESTS Dataset · doi:10.1037/t00742-000 · Cited by 7,535
You want to measure coping but your protocol’ too long: Consider the brief cope
Carver, C. S. (1997) · International Journal of Behavioral Medicine · doi:10.1207/s15327558ijbm0401_6 · Cited by 7,361
Cited by
Brand, M., Young, K. S., Laier, C., Wölfling, K., & Potenza, M. N. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.08.033 · Cited by 2,416
“…epidemiological factors of an addicive use of the Internet, its prevalence in different countries as well s its comorbidities and personality correlates (see recent reviews y Cash et al., 2012; Kuss and Lopez-Fernandez, 2016; Pezoa-Jares t al., 2012; Pontes et al., 2015; Spada, 2014; Suissa, 2015).”
Pandya, A., & Lodha, P. (2021) · Frontiers in Human Dynamics · doi:10.3389/fhumd.2021.684137 · Cited by 371
Kuss, D. J., Griffiths, M. D., & Pontes, H. M. (2017) · Journal of Behavioral Addictions · doi:10.1556/2006.5.2016.062 · Cited by 339
Self-citationCognitive–behavioral therapy for Internet gaming disorder: A systematic review and meta‐analysis
Stevens, M. W. R., King, D. L., Dorstyn, D., & Delfabbro, P. H. (2019) · Clinical Psychology & Psychotherapy · doi:10.1002/cpp.2341 · Cited by 295
Neurobiological correlates in Internet gaming disorder: a systematic literature review
Kuss, D. J., Pontes, H. M., & Griffiths, M. D. (2018) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2018.00166 · Cited by 281
Self-citationSingh, S., Singh, N., Kalinić, Z., & Liébana-Cabanillas, F. J. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2020.114241 · Cited by 273
Internet gaming disorder: Trends in prevalence 1998–2016
Feng, W., Ramo, D. E., Chan, S. R., & Bourgeois, J. A. (2017) · Addictive Behaviors · doi:10.1016/j.addbeh.2017.06.010 · Cited by 256
Treatment of Internet gaming disorder: An international systematic review and CONSORT evaluation
King, D. L., Delfabbro, P. H., Wu, A. M. S., Doh, Y. Y., Kuss, D. J., Pallesen, S., Mentzoni, R., Carragher, N., & Sakuma, H. (2017) · Clinical Psychology Review · doi:10.1016/j.cpr.2017.04.002 · Cited by 247
Self-citationAtroszko, P. A., Balcerowska, J. M., Bereznowski, P., Biernatowska, A., Pallesen, S., & Schou Andreassen, C. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.04.001 · Cited by 238
Treatments of internet gaming disorder: a systematic review of the evidence
Zajac, K., Ginley, M. K., & Chang, R. (2020) · Expert Review of Neurotherapeutics · doi:10.1080/14737175.2020.1671824 · Cited by 227
Dong, G., Li, H., Wang, L., & Potenza, M. N. (2017) · European Psychiatry · doi:10.1016/j.eurpsy.2017.03.004 · Cited by 139
Griffiths, M. D., Kuss, D. J., Lopez-Fernandez, O., & Pontes, H. M. (2017) · Journal of Behavioral Addictions · doi:10.1556/2006.6.2017.037 · Cited by 134
Self-citationMoretta, T., Buodo, G., Demetrovics, Z., & Potenza, M. N. (2022) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2021.152286 · Cited by 125
Guo, L., Luo, M., Wang, W.-X., Huang, G.-L., Xu, Y., Gao, X., Lu, C.-Y., & Zhang, W.-H. (2018) · Journal of Behavioral Addictions · doi:10.1556/2006.7.2018.115 · Cited by 114
Tülübaş, T., Karakose, T., & Papadakis, S. (2023) · European Journal of Investigation in Health, Psychology and Education · doi:10.3390/ejihpe13100143 · Cited by 90
The relationship between childhood trauma and internet addiction in adolescents: A meta-analysis
Tang, H., Li, Y., Dong, W., Guo, X., Wu, S., Chen, C., & Lu, G. (2024) · Journal of Behavioral Addictions · doi:10.1556/2006.2024.00001 · Cited by 59
Karki, K., Singh, D. R., Maharjan, D., K. C., S., Shrestha, S., & Thapa, D. K. (2021) · PLOS ONE · doi:10.1371/journal.pone.0246940 · Cited by 51
Person-centred interventions for problem gaming: a stepped care approach
Park, J. J., Wilkinson-Meyers, L., King, D. L., & Rodda, S. N. (2021) · BMC Public Health · doi:10.1186/s12889-021-10749-1 · Cited by 23
Throuvala, M. A., Griffiths, M. D., Rennoldson, M., & Kuss, D. J. (2021) · Frontiers in Education · doi:10.3389/feduc.2021.648512 · Cited by 19
Self-citationYang, H., Guo, H., Zhu, Z., Yuan, G., Zhang, X., Zhang, K., Lu, X., Zhang, J., Du, J., Shi, H., et al. (2023) · Current Addiction Reports · doi:10.1007/s40429-023-00536-w · Cited by 18
Kumar, T., Rajendran, V., Dutta, G., Ambwani, S., Lal, H., Ram, K., & Raghav, P. (2023) · Advances in Medical Education and Practice · doi:10.2147/amep.s438215 · Cited by 11
“5 In spite of the advantages of the internet, there is mounting evidence that its abuse has become a serious issue in today’s world.”
BackgroundAdicciones a internet y funciones ejecutivas en estudiantes universitarios: una revisión sistemática
Bernabéu Brotóns, E., Marchena Giráldez, C. A., González Pizzio, A., & Lubrini, G. (2020) · Electronic Journal of Research in Education Psychology · doi:10.25115/ejrep.v18i52.3346 · Cited by 8
Metadata
- Authors
- Kuss, D. J., & Lopez-Fernandez, O.
- Venue
- World Journal of Psychiatry
- Publisher
- Baishideng Publishing Group Inc.
- Published
- 2016
- Volume
- 6
- Issue
- 1
- Pages
- 143
- ISSN
- 2220-3206 (ISSN-L)
- OpenAlex
- W2296067305
- Cited by
- 758
- References
- 49
- FWCI
- 35.40
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.