Predictors of spontaneous remission in school students with Internet use disorders: Systematic review and meta-analysis

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Abstract

Context and relevance. Internet use disorders (IUDs), which include different types of behavioral addiction patterns related to inappropriate or excessive internet use, have become a major problem among children and adolescents. Objective. This study aims to explore which predictors favor spontaneous remission in school students with IUDs. Methods and materials. We systematically searched for relevant longitudinal cohort and case-control studies published in PubMed, ProQuest, and the Cochrane Library. Quantitative syntheses were performed. Results: The analysis includes 10 prospective studies published between 2007 and 2022. Overall, the spontaneous remission rate was 44,2%. A higher level of self-esteem predicted spontaneous IUD remission. Social and demographic predictors (age, sex, family relations, economic welfare, macrosocial adjustment, etc.), IUD score, social anxiety score, general anxiety score, and impulsiveness did not affect the probability of remission. Data on the significance of school performance, hostility and aggression, ADHD score, and frequency of daily internet use were conflicting. A lower depression score did not favor remission; however, a tendency was observed, and conflicting data on the role of severe depression should be noted. Conclusions. Interpersonal IUD remission predictors are less important compared to intrapersonal ones. Since intrapersonal (especially self-related) predictors are less well studied, further research is warranted to verify our findings. Lower self-esteem and more severe depressive symptoms (the nature of which is yet to be studied) may increase the likelihood of spontaneous remission and could be targeted to improve therapeutic programs. The importance of addressing family relations, economic welfare, anxiety, social anxiety, and impulsiveness should not be overstated.

General Information

Keywords: systematic review; meta-analysis; internet use disorders; internet addiction; spontaneous remission; predictors; children

Journal rubric: Research Reviews

Article type: scientific article

DOI: https://doi.org/10.17759/cpp.2025330302

Received 30.03.2025

Revised 30.07.2025

Accepted

Published

For citation: Malygin, Y.V., Zolotareva, L.S., Orlova, A.S., Mokienko, O.A., Malygin, V.L. (2025). Predictors of spontaneous remission in school students with Internet use disorders: Systematic review and meta-analysis. Counseling Psychology and Psychotherapy, 33(3), 32–63. (In Russ.). https://doi.org/10.17759/cpp.2025330302

© Malygin Y.V., Zolotareva L.S., Orlova A.S., Mokienko O.A., Malygin V.L., 2025

License: CC BY-NC 4.0

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Information About the Authors

Yaroslav V. Malygin, Doctor of Medicine, Associate Professor of the Department of Multidisciplinary Clinical Training of the Faculty of Fundamental Medicine of the Medical Scientific and Educational Institute, Lomonosov Moscow State University (MSU), associate professor of department of General Psychology of Russian University of Medicine, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0003-4633-6872, e-mail: malygin-y@yandex.ru

Lyubov S. Zolotareva, Candidate of Science (Medicine), senior researcher at the Research Institute of Clinical Surgery, Pirogov Russian National Research Medical University, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0001-7662-8257, e-mail: l_zolotareva@mail.ru

Alexandra S. Orlova, Candidate of Science (Medicine), associate professor at the pathological physiology department, Sechenov First Moscow State Medical Univesity, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0001-9725-7491, e-mail: orlova_a_s@staff.sechenov.ru

Olesya A. Mokienko, Candidate of Science (Medicine), Senior research fellow of the Mathematical neurobiology of learning laboratory, Institute of Higher Nervous Activity and Neurophysiology of RAS, Senior research fellow of the Brain-computer Interface Group of Russian Center of Neurology and Neurosciences, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0002-7826-5135, e-mail: o.mokienko@ihna.ru

Vladimir L. Malygin, Doctor of Medicine, Professor, Head of the Chair of Psychological Counseling and Psychotherapy, Russian University of Medicine, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0002-0269-7361, e-mail: malyginvl@yandex.ru

Contribution of the authors

Yaroslav V. Malygin — conceptualization, methodology, investigation, data curation, formal analysis, writing (original draft), visualization, project administration.

Lyubov S. Zolotareva —  data curation, investigation, formal analysis, methodology, visualization, writing (original draft).  

Aleksanda S. Orlova — data curation, investigation, formal analysis, methodology, visualization, writing (original draft).

Olesya A. Mokienko — methodology, validation, writing (review & editing).

Vladimir L. Malygin — conceptualization, supervision.

All authors share responsibility for the final version of the work submitted and published

Conflict of interest

The authors declare no conflict of interest.

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