Intervention Programs for the Problematic Use of the Internet and Technological Devices: A Systematic Review
Open accessAbstract
The intensive use of the Internet and communication technologies among adolescents has increased addiction and/or their problematic use. The innovative and revolutionary development of this technology can have negative effects on the mental and physical health of its users, and it seems to have a greater impact on adolescents. As this is causing a public health problem, the objective of this study was to review the different intervention and prevention programs for this problem in adolescents. A total of 14 programs met the inclusion criteria. The analysis of the programs allows for the identification of effective intervention designs for prevention, and also for the treatment of the current problems derived from the use of the Internet and technological devices among adolescent users.
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Recent research shows positive effects of digital detox programs and cognitive behavior therapy as treatment for problematic social media use.
“Recent research shows positive effects of digital detox programs and cognitive behavior therapy as treatment for problematic SMU; however, more research is still needed (Cañas & Estévez, 2021; Kurnaz & Koçtürk, 2024; Lindenberg, Kindt, & Szász‐Janocha, 2022; Ramadhan et al., 2024).”
From Review: Social media use and adolescent mental health - an umbrella review and power analysis. (2026) · cites this paper as Cañas & Estévez, 2021
Section 3.1 reports improvements after cognitive behavioral interventions, and Section 4.1 describes CBT as a treatment for problematic Internet and technological-device use. The cited review does not establish positive effects of digital detox programs or specifically evaluate treatment for problematic social media use; those parts of the claim are not supported by the passages found. (LLM, conf=0.85)
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Sawilowsky, S. S. (2009) · Journal of Modern Applied Statistical Methods · doi:10.22237/jmasm/1257035100 · Cited by 3,254 · see citing works
Yen, J.-Y., Ko, C.-H., Yen, C.-F., Wu, H.-Y., & Yang, M.-J. (2007) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2007.02.002 · Cited by 817 · see citing works
Mobile phone dependency and its impacts on adolescents’ social and academic behaviors
Seo, D. G., Park, Y., Kim, M. K., & Park, J. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.05.026 · Cited by 270 · see citing works
Layous, K., Chancellor, J., Lyubomirsky, S., Wang, L., & Doraiswamy, P. M. (2011) · The Journal of Alternative and Complementary Medicine · doi:10.1089/acm.2011.0139 · Cited by 148 · cited 1× · see citing works
“Treatment focused on positive psychology is committed to increasing the frequency and quality of social contacts [40] and enhancing positive emotions [41], which could counter the maladjusted social relationships associated with the addiction to new technologies.”
BackgroundWang, W.-C. (2019) · Psychological Reports · doi:10.1177/0033294118789034 · Cited by 97 · see citing works
Çağan, Ö., Ünsal, A., & Çelik, N. (2014) · Procedia - Social and Behavioral Sciences · doi:10.1016/j.sbspro.2013.12.793 · Cited by 85 · see citing works
Cerutti, R., Presaghi, F., Spensieri, V., Valastro, C., & Guidetti, V. (2016) · Headache: The Journal of Head and Face Pain · doi:10.1111/head.12840 · Cited by 79 · see citing works
Bong, S. H., Won, G. H., & Choi, T. Y. (2021) · Psychiatry Investigation · doi:10.30773/pi.2020.0155 · Cited by 62 · cited 2× · see citing works
“[45] combined the intervention based on cognitive behavioral theory with music therapy.”
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Research works printed but not linked: 64
- Liu, Q.X.; Fang, X.Y.; Yan, N.; Zhou, Z.K.; Yuan, X.J.; Lan, J.; Liu, C.Y. Multi-family group therapy for adolescent Internet addiction: Exploring the underlying mechanisms. Addict. Behav. 2015, 42, 1-8. [CrossRef] · DOI
- Aponte, D.R.; Castillo, P.; González, J.E. Prevalencia de adicción a internet y su relación con disfunción familiar en adolescentes. Rev. Clín. Med. Fam. 2017, 10, 179-186.
- Valkenburg, P.M.; Peter, J. Online communication among adolescents: An integrated model of its attraction, opportunities, and risks. J. Adolesc. Health 2011, 48, 121-127. [CrossRef] · DOI · Paper page
- Mathew, P.; Krishnan, R.; Bhaskar, A. Effectiveness of a nurse-led intervention for adolescents with problematic internet use. J. Psychos. Nurs. Ment Health Serv. 2020, 58, 16-26. [CrossRef] [PubMed] · DOI
- Khoshgoftar, M.; Amidi Mazaheri, M.; Tarrahi, M.J. The effect of educational intervention based on health belief model to decrease and prevent mobile phone addiction among female high school students in Iran. Int. J. Pediat. 2019, 7, 10175-10187.
- Mazaheri, M.A.; Karbasi, M. The use of mobile phone features among students in Isfahan University of Medical Sciences in Iran. Scimetr 2014, 2, e18760. [CrossRef] · DOI
- Beranuy, M.; Oberst, U.; Carbonell, X.; Chamarro, A. Problematic Internet and mobile phone use and clinical symptoms in college students: The role of emotional intelligence. Comput. Hum. Behav. 2009, 25, 1182-1187. [CrossRef] · DOI · Paper page
- Milde-Busch, A.; von Kries, R.; Thomas, S.; Heinrich, S.; Straube, A.; Radon, K. The association between use of electronic media and prevalence of headache in adolescents: Results from a population-based cross-sectional study. BMC Neurol. 2010, 10, 12. [CrossRef] · DOI
- Mohammadbeigi, A.; Valizadeh, F.; Mirshojaee, S.R.; Ahmadli, R.; Mokhtari, M.; Ghaderi, E.; Ansari, H. Self-rated health and Internet addiction in Iranian medical sciences students: Prevalence, risk factors and complications. Int. J. Biomed. Sci. 2016, 12, 65-70. [PubMed]
- Zareipour, M.A.; Mahmoodi, H.; Valizadeh, R.; Ghorooji, M.G.; Moradali, M.R.; Zare, F. Impact of an educational intervention based on the BASNEF model on skin cancer preventive behavior of college students. Asian Pac. J. Cancer Prev. 2018, 19, 2717-2722.
- Maheri, A.; Tol, A.; Sadeghi, R. Assessing the effect of an educational intervention program based on Health Belief Model on preventive behaviors of internet addiction. J. Educ. Health Promot. 2017, 6, 63-71.
- Chen, Y.L.; Gau, S.S.F. Sleep problems and internet addiction among children and adolescents: A longitudinal study. J. Sleep Res. 2016, 25, 458-465. [CrossRef] [PubMed] · DOI
- Bargeron, A.H.; Hormes, J.M. Psychosocial correlates of internet gaming disorder: Psychopathology, life satisfaction, and impulsivity. Comput. Hum. Behav. 2017, 68, 388-394. [CrossRef] · DOI
- Brunborg, G.S.; Mentzoni, R.A.; Frøyland, L.R. Is video gaming, or video game addiction, associated with depression, academic achievement, heavy episodic drinking, or conduct problems? J. Behav. Addict. 2014, 3, 27-32. [CrossRef] [PubMed] · DOI · Paper page
- Kim, N.R.; Hwang, S.S.-H.; Choi, J.-S.; Kim, D.-J.; Demetrovics, Z.; Kiraly, O.; Nagygyörgy, K.; Griffiths, M.D.; Hyun, S.Y.; Youn, H.C.; et al. Characteristics and psychiatric symptoms of internet gaming disorder among adults using self-reported DSM-5 criteria. Psychiat. Investig. 2016, 13, 58-66. [CrossRef] · DOI
- Mentzoni, R.A.; Brunborg, G.S.; Molde, H.; Myrseth, H.; Skouverøe, K.J.M.; Hetland, J.; Pallesen, S. Problematic video game use: Estimated prevalence and associations with mental and physical health. Cyberpsychol. Behav. Soc Netw. 2011, 14, 591-596. [CrossRef] · DOI
- Ostovar, S.; Allahyar, N.; Aminpoor, H.; Moafian, F.; Nor, M.B.M.; Griffiths, M.D. Internet addiction and its psychosocial risks (depression, anxiety, stress and loneliness) among Iranian adolescents and young adults: A structural equation model in a cross-sectional study. Int. J. Ment. Health Ad. 2016, 14, 257-267. [CrossRef] · DOI
- Strittmatter, E.; Kaess, M.; Parzer, P.; Fischer, G.; Carli, V.; Hoven, C.W.; Wasserman, D. Pathological Internet use among adolescents: Comparing gamers and non-gamers. Psychiat. Res. 2015, 228, 128-135. [CrossRef] · DOI
- Wang, H.R.; Cho, H.; Kim, D.J. Prevalence and correlates of comorbid depression in a nonclinical online sample with DSM-5 internet gaming disorder. J. Affect. Disord. 2018, 226, 1-5. [CrossRef] · DOI
- Bakken, I.J.; Wenzel, H.G.; Götestam, K.G.; Johansson, A.; Øren, A. Internet addiction among Norwegian adults: A stratified probability sample study. Scand. J. Psychol. 2009, 50, 121-127. [CrossRef] · DOI
- Günlü, A.; Ceyhan, A.A. Investigating adolescents' behaviors on the internet and problematic internet usage. Addicta 2017, 4, 75-117. [CrossRef] · DOI
- Frees, V.B.; Koch, W. Internetnutzung: Frequenz und vielfalt nehmen in allen altersgruppen zu. Media Perspekt. 2015, 9, 366-377.
- Riedl, D.; Stöckl, A.; Nussbaumer, C.; Rumpold, G.; Sevecke, K.; Fuchs, M. Usage patterns of internet and computer games: Results of an observational study of Tyrolean adolescents. Neuropsychiatry 2016, 30, 181-190. [CrossRef] [PubMed] · DOI
- Subrahmaanyam, K.; Smahel, D. Connecting online behavior to adolescent development: A theoretical framework. In Digital Youth: The Role of Media in Development; Springer: Luxemburg, 2011; pp. 27-40.
- Karacic, S.; Oreskovic, S. Internet addiction through the phase of adolescence: A questionnaire study. JMIR Ment. Health 2017, 4, e5537. [CrossRef] [PubMed] · DOI
- Tahiro glu, A.; Çelik, G.; Bahalı, K.; Avcı, A. Medyanın çocuk ve gençler üzerine olumsuz etkileri; şiddet e gilimi ve internet ba gımlı gı. Yeni Symp. 2010, 48, 19-30.
- López-Bueno, R.; Koyanagi, A.; López-Sánchez, G.F.; Firth, J.; Smith, L. Association between age of first exposure and heavy internet use in a representative sample of 317,443 adolescents from 52 countries. Eur. Child Adolesc. Psych. 2021, 1-9. [CrossRef] [PubMed] · DOI
- Çelik, Ç.B. Educational intervention for reducing Internet addiction tendencies. Addicta 2016, 3, 175-186.
- Kwon, J.H. Toward the prevention of adolescent internet addiction. In Internet Addiction: A Handbook and Guide to Evaluation and Treatment; Young, K.S., de Abreu, C.N., Eds.; Wiley: Hoboken, NY, USA, 2011; pp. 223-244.
- Yu, L.; Shek, D.T.L. Internet addiction in Hong Kong adolescents: A three-year longitudinal study. J. Pediatr Adolesc. Gynecol. 2013, 26, S10-S17. [CrossRef] · DOI
- Butler, A.C.; Chapman, J.E.; Forman, E.M.; Beck, A.T. The empirical status of cognitive-behavioral therapy: A review of meta-analyses. Clin. Psychol. Rev. 2006, 26, 17-31. [CrossRef] · DOI · Paper page
- Young, K. Internet addiction: Diagnosis and treatment considerations. J. Contemp. Psychother. 2009, 39, 241-246. [CrossRef] · DOI
- Zhou, G.; Wang, E. Effects of self-concealment and self-esteem on Internet addiction in college students. Soc. Behav. Pers. 2021, 49, 1-9. [CrossRef] · DOI
- Park, N.; Peterson, C.; Szvarca, D.; Vander, R.J.; Kim, E.S.; Collon, K. Positive psychology and physical health research and applications. Am. J. Lifestyle Med. 2016, 10, 200-206. [CrossRef] · DOI
- Throuvala, M.A.; Griffiths, M.D.; Rennoldson, M.; Kuss, D.J. School-based prevention for adolescent internet addiction: Prevention is the key. A systematic literature review. Curr. Neuropharmacol. 2019, 17, 507-525. [CrossRef] [PubMed] · DOI
- Green, S.; Higgins, J. (Eds.) Glossary. Cochrane Handbook for Systematic Reviews of Interventions 4.2.5. The Cochrane Collaboration. 2005. Available online: https://training.cochrane.org/es/manual-cochrane-de-revisiones-sistem%C3%A1ticas- de-intervenciones (accessed on 15 November 2021).
- Du, Y.S.; Jiang, W.; Vance, A. Longer term effect of randomized, controlled group cognitive behavioural therapy for internet addiction in adolescent students in Shanghai. Aust. N. Z. J. Psych. 2010, 44, 129-134. [CrossRef] · DOI · Paper page
- Yang, S.Y.; Kim, H.S. Effects of a prevention program for internet addiction among middle school students in South Korea. Public Health Nurs. 2018, 35, 246-255. [CrossRef] [PubMed] · DOI
- Gholamian, B.; Shahnazi, H.; Hassanzadeh, A. The effect of educational intervention based on BASNEF model for reducing internet addiction among female students: A quasi-experimental study. Ital. J. Pediatr. 2019, 45, 1-7. [CrossRef] · DOI
- Uysal, G.; Balci, S. Evaluation of a school-based program for Internet addiction of adolescents in Turkey. J. Addict. Nurs. 2018, 29, 43-49. [CrossRef] [PubMed] · DOI
- Ortega-Barón, J.; González-Cabrera, J.; Machimbarrena, J.M.; Montiel, I. Safety. Net: A pilot study on a multi-risk internet prevention program. Int. J. Environ. Res. Public Health 2021, 18, 4249-4253. [CrossRef] · DOI
- Szász-Janocha, C.; Vonderlin, E.; Lindenberg, K. Treatment outcomes of a CBT-based group intervention for adolescents with Internet use disorders. J. Behav. Addict. 2021, 9, 978-989. [CrossRef] · DOI
- Walther, B.; Hanewinkel, R.; Morgenstern, M. Effects of a brief school-based media literacy intervention on digital media use in adolescents: Cluster randomized controlled trial. Cyberpsychol. Behav. Soc. Netw. 2014, 17, 616-623. [CrossRef] · DOI
- Khazaei, F.; Khazaei, O.; Ghanbari, H.B. Positive psychology interventions for internet addiction treatment. Comput. Hum. Behav. 2017, 72, 304-311. [CrossRef] · DOI
- Ke, G.N.; Wong, S.F. Outcome of the psychological intervention program: Internet use for youth. J. Ration.-Emot. Cogn.-Behav. Ther. 2018, 36, 187-200. [CrossRef] · DOI
- Arab, L.E.; Díaz, G.A. Impacto de las redes sociales e internet en la adolescencia: Aspectos positivos y negativos. Rev. Méd. Clín. Condes 2015, 26, 7-13. [CrossRef] · DOI
- Van Rooij, A.J.; Zinn, M.F.; Schoenmakers, T.M.; Van de Mheen, D. Treating internet addiction with cognitive-behavioral therapy: A thematic analysis of the experiences of therapists. Int. J. Mental Health Addict. 2012, 10, 69-82. [CrossRef] · DOI
- Wölfling, K.; Beutel, M.E.; Dreier, M.; Müller, K.W. Treatment outcomes in patients with internet addiction: A clinical pilot study on the effects of a cognitive-behavioral therapy program. BioMed Res. Int. 2014, 2014, 425924. [CrossRef] [PubMed] · DOI
- Shojaei Zadeh, D.; Changizi, M.; Sadeghi, R. The effect of education about addiction through health belief model (HBM) on knowledge and perceptions of high school students in Shadegan. J. Sci. Today's World 2014, 3, 240-244.
- Bandura, A. The explanatory and predictive scope of self-efficacy theory. J. Soc. Clin. Psychol. 1986, 4, 359-373. [CrossRef] · DOI
- Sevari, K.; Manshedavi, S. The Efficacy of Self-awareness Training on reduction of internet addiction and loneliness and increase of self-efficacy. Q. Clin. Psychol. Stud. 2016, 22, 163-179.
- Kim, J.U. The effect of a R/T group counseling program on the Internet addiction level and self-esteem of Internet addiction university students. Int. J. Real. Ther. 2008, 27, 4-14.
- Odaci, H.; Çelik, Ç.B. Üniversite ö grencilerinin problemli internet kullanimlarinin akademik öz-yeterlik, akademik erteleme ve yeme tutumlari ile ilişkisi. Educ. Sci. 2011, 7, 389-403.
- Cao, F.; Su, L. Internet addiction among Chinese adolescents: Prevalence and psychological features. Child Care Health Dev. 2007, 33, 275-281. [CrossRef] [PubMed] · DOI
- Moeini, B.; Rezapur-Shahkolai, F.; Faradmal, J.; Soheylizad, M. Effect of an educational program based on the health belief model to reduce cell phone usage during driving in taxi drivers. J. Educ. Commun. Health 2014, 1, 56-66.
- Luquis, R.R.; Kensinger, W.S. Applying the health belief model to assess prevention services among young adults. Int. J. Health Promot. Educ. 2019, 57, 37-47. [CrossRef] · DOI
- Lee, Y.S.; Lee, S.J.; Do, J.Y.; Kim, D.I. Development of prevention program for youth excessive use of Internet. Korea J. Youth Couns. 2011, 19, 105-124.
- Yang, M.K.; Oh, W.O. Effects of the Internet game addiction prevention educational program on self-control and time spent on Internet games by elementary school students. Child Health Nurs. Res. 2007, 13, 282-290.
- Garaigordobil, M.; Martínez-Valderrey, V. Effects of Cyberprogram 2.0 on "face-to-face" bullying, cyberbullying, and empathy. Psicothema 2015, 27, 45-51. [PubMed]
- Koch, W.H.; Pratarelli, M.E. Effects of intro/extraversion and sex on social Internet use. N. Am. J. Psychol. 2004, 6, 371-382.
- Sanders, C.E.; Field, T.M.; Miguel, D.; Kaplan, M. The relationship of Internet use to depression and social isolation among adolescents. Adolescence 2000, 35, 237-242. [PubMed]
- Van den Eijnden, R.J.J.M.; Spijkerman, R.; Vermulst, A.A.; van Rooij, T.J.; Engels, R.C.M.E. Compulsive internet use among adolescents: Bidirectional parent-child relationships. J. Abnorm. Child Psychol. 2010, 38, 77-89. [CrossRef] [PubMed] · DOI
- Dickerson, A.D.; Crase, S.J. Parent-adolescent relationships: The influence of multi-family therapy group on communication and closeness. Am. J. Fam. Ther. 2005, 33, 45-59. [CrossRef] · DOI
- McDonell, M.G.; Dyck, D.G. Multiple-family group treatment as an effective intervention for children with psychological disorders. Clin. Psychol. Rev. 2004, 24, 685-706. [CrossRef] · DOI
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Review: Social media use and adolescent mental health - an umbrella review and power analysis.
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- Authors
- Cañas, E., & Estévez, E.
- Affiliations
- Universitat de Miguel Hernández d'Elx (ES)
- Corresponding author
- Cañas, Elizabeth
- Venue
- Electronics
- Publisher
- MDPI AG
- Published
- 2021-11-25
- Volume
- 10
- Issue
- 23
- Pages
- 2923
- ISSN
- 2079-9292 (ISSN-L)
- OpenAlex
- W3217804027
- Cited by
- 21
- References
- 8
- Citations by year
- 2026: 4 · 2025: 8 · 2024: 6 · 2023: 2 · 2022: 1
- FWCI
- 0.43
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Electronics (publishedVersion, cc-by)
- Repositorio Institucional de la Universidad de Alicante (Universidad de Alicante) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- European Regional Development Fund -FEDER- “One way to make Europe" (PSI2015-65683-P)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Education › Child Development and Digital Technology
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Keywords
- problematic internet use, problematic technology use, adolescents, internet addiction, prevention programs, intervention program, digital health, mental health
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