Author:
Olatz Lopez-Fernandez Monash Addiction Research Centre, Turning Point, Easter Health Clinical School, Monash University, Clayton, VIC 3800, Australia

Search for other papers by Olatz Lopez-Fernandez in
Current site
Google Scholar
PubMed
Close
https://orcid.org/0000-0002-4294-9156
Open access

Abstract

This commentary examines the proposed framework in relation to current policy options and preventive strategies and adds classical prevention and ecological models to tackle internet use-related addiction problems. Specifically, it highlights the preventive developments regarding contributions to promote the healthy use of technologies, and the need of designing and testing prevention strategies targeting the incidence, prevalence and severity of these problems at all population levels. In summary, to start preventing and minimising harms due to the problematic and addictive use of emerging technologies, we already have old models we can apply to these new problems to ensure secure behaviours through the technologies, and enhance users' wellness and quality of life.

Abstract

This commentary examines the proposed framework in relation to current policy options and preventive strategies and adds classical prevention and ecological models to tackle internet use-related addiction problems. Specifically, it highlights the preventive developments regarding contributions to promote the healthy use of technologies, and the need of designing and testing prevention strategies targeting the incidence, prevalence and severity of these problems at all population levels. In summary, to start preventing and minimising harms due to the problematic and addictive use of emerging technologies, we already have old models we can apply to these new problems to ensure secure behaviours through the technologies, and enhance users' wellness and quality of life.

The paper by Swanton, Blaszczynski, Forlini, Starcevic, and Gainsbury (2019) debates the relevance of introducing stakeholders in the prevention framework of those behavioural addiction problems that emerge and are developed by the use of technologies. The main contribution of their paper is a preliminary framework of seven groups (i.e. individuals, families, community, treatment and welfare providers, researchers, industry and governments) with a set of roles and responsibilities to minimise the harm associated with technological behavioural addictions. However, previous research has started to focus on policy frameworks to cover these behavioural addiction problems. Some of the existing public health developments, policy options and prevention strategies have emerged these years from literature reviews performed by authors from Eastern and Western cultures (Koh, 2017; Lopez-Fernandez & Kuss, 2019). The preventive outcomes show the level of maturity is starting to emerge in this field, after almost 25 years of intensive research. The present commentary aims to highlight the essential and timely contribution of the proposed framework by offering an update on the developments in place. It also reflects on how classical models may contribute to co-developing the pending guidelines for prevention, especially within the coronavirus disease pandemic, which has caused lockdowns worldwide and enhanced the need for prevention (Király et al., 2020).

From the public health perspective, generalised and specific internet problem-use preventive initiatives co-exist, which complete Swanton and colleagues (2020) proposal regarding the stakeholders' perspective. Several reviews have extracted a set of prevention strategies by identifying stakeholder groups. For instance, to prevent internet addiction, Vondráčková and Gabrhelik (2016) detected four groups to be trained about internet risks: children and adolescents, university students, parents and those close to the users (e.g. teachers) and employees. Similarly, Lee, Kim and Lee (2019) proposed the harm may be reduced by acting through the stakeholders involved in harmful content, maladaptive use and financial burden. The stakeholders are (by order of relevance) governments, industry, service and providers, research centres, schools, targeting parents and users.

Stakeholder groups have further been raised as being essential in tackling policy and prevention of these behavioural addictions: internet addiction (Lopez-Fernandez & Kuss, 2020; Vondráčková & Gabrhelik, 2016), video game addiction (King et al., 2017; Király et al., 2018), online sex addiction (Gola & Potenza, 2018; Putnam & Maheu, 2000) or social networking sites (SNSs) addiction (Brevers & Turel, 2019; Hussain & Griffiths, 2018). Indeed, more stakeholder groups than those described by Swanston and colleagues (2020) may be required to confront these public health concerns at all preventive levels. Contemporary literature on internet use-related addiction problems has covered some strategies for these groups and provided more detail on them:

  1. Individuals – users (e.g. for those who are incognisant of and engage persistently with binge pornography minimising self-harm requires sexual health education: Gola, & Potenza, 2018; or strategies to self-control SNS uses: Brevers, & Turel, 2019).

  2. Families, guardians, caregivers or significant others such a sibling, partner or friend (e.g. ‘keeping an eye’ on time spent online in-home and having conversations about online uses: Lopez-Fernandez & Kuss, 2020; or skills encouraging closer relationships and monitoring of online uses: Vondráčková & Gabrhelik, 2016).

  3. Communities – physical and virtual communities (e.g. online gamers isolated at home but virtually connected with the ‘guild’ need information and education programs: Lopez-Fernandez & Kuss, 2020; companies can train employers in detecting the risk of developing internet addiction and propose to self-monitor themselves: Vondráčková & Gabrhelik, 2016).

  4. Treatment and welfare providers (e.g. through funding for non-profit organisations and private enterprises, King et al., 2017; through clinicians in practice or hospitals who first have to tackle the problem: Király et al., 2018).

  5. Researchers (e.g. more research is needed on co-occurring disorders associated with SNS uses: Hussain, & Griffiths, 2018; similarly, applied research on responsible internet use and prevention: Lopez-Fernandez & Kuss, 2020).

  6. Industry – i.e. gaming companies (e.g. requesting prevention through gaming companies' corporate social responsibility measures: Király et al., 2018; and through industry-driven marketing factors: Lee et al., 2019).

  7. Governments (e.g. such as Chinese or South-Korean continuous policymaker initiatives: Koh, 2017; Zhan, & Chan, 2012).

Even policy options and stakeholders' groups based on literature reviews have proposed to promote harm reduction in several Western countries, such it is the case for internet addiction by the European Parliament (Brey, Gauttier, & Milam, 2019; Lopez-Fernandez & Kuss, 2019), or social networking addiction by the United Kingdom (UK) Parliament (Griffiths, Lopez-Fernandez, Throuvala, Pontes, & Kuss, 2018).

The European Parliament has proposed a set of policy options regarding the harmful use of the internet. At an individual level, the target was generalised internet addiction, online video gaming and gambling addictions, and stakeholders targeted were professionals (i.e. researchers, clinicians) users and community agents who could use knowledge, instruments and interventions to minimise internet harms (Lopez-Fernandez & Kuss, 2019). At a social level, it proposed to promote technology that better protects social and internet users, education about the internet and its consequences, social services which will support internet users, incentivising employers to protect workers and establishing governmental multi-stakeholder platforms (Brey et al., 2019). The UK Parliament received public policy advice (Griffiths et al., 2018) to prevent the rise of English adolescents experiencing addictive use of SNS due to smartphones, comorbid problems (e.g. hostility, cyberbullying) and new co-occurring psychological phenomena (e.g. fear of missing out and nomophobia). Recommendations included national-based research to develop new treatment protocols, a scientific working group under the Department of Health to follow up the problem and provide guidance and practice, educational materials and guidelines within the National Curriculum and a multi-stakeholder approach promoting prevention in users, parents and teachers.

Alternatively, other classical models of development and prevention can also strengthen and advance the currently existing policy options and prevention proposals.

Firstly, in the field of behavioural addictions, a pragmatic approach may include the classic social psychiatry concept of primary, secondary and tertiary levels of prevention (Caplan & Grunebaum, 1967). This model has already applied to gaming addiction (Petry et al., 2018). It reduces the incidence, prevalence and severity of these problems respectively and facilitate early detection and interventions (Simeonsson, 1991). Furthermore, this model is in the line of universal, selective and indicated preventive interventions (National Research Council and Institute of Medicine (2019), which has also been applied to prevent internet addiction (Vondráčková & Gabrhelik, 2016). A second classic contribution to this field can be Bronfenbrenner's (1977) ecological model, which refers to the interactions between the individual and the environment which shape the development over time. It can complement the levels of prevention, as it covers the life span developmental approach, as Swanton and colleagues (2020) requested. The main idea is that users live in settings embedded in a set of systems (i.e. a nested set of systems), which can provide validity to the actions taken in one or more systems simultaneously, but considering the online interactions.

Current research on the prevention of technological addictions has emerged from the conception of the field in the mid-nineties regarding primary prevention (i.e. conceptualising and operationalising the problems and identifying groups at risk). Some advances in this prevention type include internet gaming disorder's consideration as a disease (American Psychiatric Association, 2013), or the Asiatic governments' first public health policies on internet addiction (Koh, 2017). Secondary prevention began with screening studies to estimate prevalence (Kuss, Griffiths, Karila, & Billieux, 2014; Lopez-Fernandez et al., 2017), which continued with education and counselling prevention programs in schools and universities (Neverkovich et al., 2018). The educational organisations have tried to restore healthy technological uses and reduce the prevalence (e.g. problematic mobile phone use; Carbonell, Chamarro, Oberst, Rodrigo, & Prades, 2018). Specialised health services emerged in Western countries (e.g. Germany, Switzerland, Spain) to ameliorate these conditions (Rumpf et al., 2018). Furthermore, it has been developed a few tertiary prevention initiatives to reduce severe outcomes or improve users' quality of life (e.g. hikikomori syndrome multi-national treatment; Teo et al., 2015). Some of these initiatives have required to adapt classic interventions to these new problems, such as using cognitive behavioural therapy for internet addiction (e.g. CBT-IA, Young, 2013), to tackle comorbid problems (e.g. substance use, affective and personality disorders; Wölfling, Beutel, Dreier, & Müller, 2015), or related problems (e.g. systemic approaches; Liu et al., 2015). In line, policy options and preventive strategies must facilitate support to change (e.g. Lopez-Fernandez, & Kuss, 2020). Next steps to advance in public health may be preventive measures at all levels and the need to develop regional guidelines. However, as Petry and colleagues (2018) argued and as current policy options and preventive actions have shown, although primary prevention is essential, the current knowledge of the development and maintenance of technological addictions and their comorbid problems, makes secondary and tertiary prevention levels still difficult to achieve.

Regarding the ecological model (Bronfenbrenner, 1977), it could be considered that the technological addictions field has extensively been researched as follows. First, the individual risk (i.e. the user and his or her characteristics); second, the microsystem which is the layer around the individual and contains the closest persons and structures which he or she interacts (e.g. family in-home, peers in-school, or colleagues in the workplace using smartphones). Third, the mesosystem that contains the interrelations among other major settings across the life span (e.g. for an adolescent user, it can be online interactions among extended family, teachers, or peer groups in online games). Until this last system, all interactions can affect the individual directly, which makes these sets essential for prevention compared to the following sets. The exosystem refers to the larger social system that indirectly affects the individual, such as major institutions of society (e.g. alterations in the neighbourhood, social networks, changes in the world of education or work, mass media, government, or service providers can also influence the user development, such as current pandemic). The macrosystem refers to the larger cultural system (e.g. economic, social, educational, legal, political, religious or societal beliefs that influence individuals indirectly). Concerning Swanton and colleagues' proposal (2020), the majority of the stakeholders' groups are in the latter two major systems, although current research in the field is still based in educational settings. Thus, the more global sets are only partially researched, and further studies are needed to ensure future options and prevention covering all settings in which the users are connected and influence their healthy development.

In summary, current development on online prevention and harm minimisation as well as classical models applied to our field seem to highlight that we are starting to tackle the problem in its complexity. The studies focussing on the risk of developing technological addiction problems has begun to consider individual characteristics (e.g. age, gender, health) and proximal settings (e.g. school, university and work) primarily modelled by their social interactions through technologies (primary preventive targets). At present, in Europe, multi-stakeholder groups are under direction from governmental and research collaborations. Contrarily, in the more experienced Asiatic countries, it seems governments lead the public health strategy with a global response in respect to the levels of prevention (Koh, 2017; Zhan & Chan, 2012). Indeed, researchers have stated that above all by governments and technological industry can lead policy and prevention options (Király et al., 2018; Lee et al., 2019). Perhaps this is a crucial point to strengthen Swanton and colleagues (2019) framework, as the technology industry has a key role in preventing technological addiction problems. There is a need to raise awareness through the technologies to directly inform the user and make him or her conscious about the risks (e.g. in the European Pan European Game Information [PEGI, 2013] content descriptors, maybe can add a label with an icon about ‘addictiveness’). Current research has targeted the marketers and app developers, which use freemium model, gamification and make apps ubiquitous which can be confronted through warning labels, stopping points, disclosures in ads, etc. (Berthon, Pitt, & Campbell, 2019).

The stakeholders' framework is a preliminary contribution that can be the first step together with new policy options and prevention strategies to design and test the outcomes of these harm minimisation initiatives. These precautionary measures should target the incidence, prevalence and severity of these problems at all population levels from the governments, technological industries, and other providers (i.e. exosystem). These stakeholders can develop and apply policy options and prevention strategies within the embedded systems, which affect the user. A global evidence-based approach can ensure solid knowledge to establish a safe environment and guidelines to secure the use of technologies and to enhance wellness and quality of life of users strengthening their online behaviours safely.

Funding sources

None.

Conflict of interest

The author declares no conflict of interest.

References

  • American Psychiatric Association (2013). Diagnostic and statistical manual of mental disorders (DSM-5®). Washington, DC: American Psychiatric Association.

    • Search Google Scholar
    • Export Citation
  • Berthon, P., Pitt, L., & Campbell, C. (2019). Addictive de-vices: A public policy analysis of sources and solutions to digital addiction. Journal of Public Policy & Marketing, 38(4), 451468. https://doi.org/10.1177/0743915619859852.

    • Search Google Scholar
    • Export Citation
  • Brevers, D., & Turel, O. (2019). Strategies for self-controlling social media use: Classification and role in preventing social media addiction symptoms. Journal of Behavioral Addictions, 8(3), 554563.https://doi.org/10.1556/2006.8.2019.49.

    • Search Google Scholar
    • Export Citation
  • Brey, P., Gauttier, S., & Milam, P.-E. (2019). Harmful internet use — Part II: Impact on culture and society—Report scientific foresight unit—Panel for the future of science and technological, science and technological options assessment (STOA). In Proceedings of the directorate for impact assessment and European added value, directorate-general for parliamentary research services, European Parliament, Brussels, Belgium. Available online: https://www.europarl.europa.eu/RegData/etudes/STUD/2019/624269/EPRS_STU(2019)624269_EN.pdf and https://euagenda.eu/publications/harmful-internet-use-part-ii-impact-on-culture-and-society(accessed on 26 July 2020).

    • Search Google Scholar
    • Export Citation
  • Bronfenbrenner, V. (1977). Toward an experimental psychology of human development. American Psychologist, 32, 513531.

  • Caplan, G., & Grunebaum, H. (1967). Perspectives on primary prevention. A review. Archives of General Psychiatry, 17(3), 331346. https://doi.org/10.1001/archpsyc.1967.01730270075012.

    • Search Google Scholar
    • Export Citation
  • Carbonell, X., Chamarro, A., Oberst, U., Rodrigo, B., & Prades, M. (2018). Problematic use of the internet and smartphones in university students: 2006–2017. International Journal of Environmental Research and Public Health, 15, 475. https://doi.org/10.3390/ijerph15030475.

    • Search Google Scholar
    • Export Citation
  • European Pan European Game Information [PEGI] (n.d.). The PEGI age labels: https://pegi.info/what-do-the-labels-mean(accessed on 30 July 2020).

    • Search Google Scholar
    • Export Citation
  • Gola, M., & Potenza, M. N. (2018). Promoting educational, classification, treatment, and policy initiatives: Commentary on: Compulsive sexual behaviour disorder in the ICD-11 (Kraus et al., 2018). Journal of Behavioral Addictions, 7(2), 208210. https://doi.org/10.1556/2006.7.2018.51.

    • Search Google Scholar
    • Export Citation
  • Griffiths, M., Lopez-Fernandez, O., Throuvala, M., Pontes, H., & Kuss, D. (2018). Excessive and problematic use of social media in adolescence: A brief overview. Technical Report. Written evidence submitted by International Gaming Research Unit, Nottingham Trent University (SMH0091) as a UK public policy advice. https://doi.org/10.13140/RG.2.2.11280.71682.

    • Search Google Scholar
    • Export Citation
  • Hussain, Z., & Griffiths, M. D. (2018). Problematic social networking site use and comorbid psychiatric disorders: A systematic review of recent large-scale studies. Frontiers in Psychiatry, 9, 686. https://doi.org/10.3389/fpsyt.2018.00686.

    • Search Google Scholar
    • Export Citation
  • King, D. L., Delfabbro, P. H., Doh, Y. Y., Wu, A. M. S., Kuss, D. J., Pallesen, S., et al. (2017). Policy and prevention approaches for disordered and hazardous gaming and Internet use: An international perspective. Prevention Science ,19(2), 233249. https://doi.org/10.1007/s11121-017-0813-1.

    • Search Google Scholar
    • Export Citation
  • Király, O., Griffiths, M. D., King, D. L., Lee, H. K., Lee, S. Y., Banyai, F., et al. (2018). Policy responses to problematic video game use: A systematic review of current measures and future possibilities. Journal of Behavioral Addictions, 7(3), 503517. Advance online publication. https://doi.org/10.1556/2006.6.2017.050.

    • Search Google Scholar
    • Export Citation
  • Király, O., Potenza, M. N., Stein, D. J., King, D. L., Hodgins, D. C., Saunders, J. B., et al. (2020). Preventing problematic internet use during the COVID-19 pandemic: Consensus guidance. Comprehensive Psychiatry, 152180. https://doi.org/10.1016/j.comppsych.2020.152180.

    • Search Google Scholar
    • Export Citation
  • Koh, Y. S. (2017). The Korean national policy for Internet addiction. In Montag & Reuter (Eds), Internet addiction: Neuroscientific approaches and therapeutical interventions (pp. 219233). Cham: Springer.

    • Search Google Scholar
    • Export Citation
  • Kuss, D.J., Griffiths, M.D., Karila, L., & Billieux, J. (2014). Internet addiction: A systematic review of epidemiological research for the last decade. Current Pharmaceutical Design, 20(25), 40264052.

    • Search Google Scholar
    • Export Citation
  • Lee, S. Y., Kim, M. S., & Lee, H. K. (2019). Prevention strategies and interventions for internet use disorders due to addictive behaviors based on an integrative conceptual model. Current Addiction Reports, 6(3), 303312. https://doi.org/10.1007/s40429-019-00265-z.

    • Search Google Scholar
    • Export Citation
  • Liu, Q. X., Fang, X. Y., Yan, N., Zhou, Z. K., Yuan, X. J., Lan, J., et al. (2015). Multi-family group therapy for adolescent Internet addiction: Exploring the underlying mechanisms. Addictive Behaviors, 42, 18. https://doi.org/10.1016/j.addbeh.2014.10.021.

    • Search Google Scholar
    • Export Citation
  • Lopez-Fernandez, O., & Kuss, D. (2019). Harmful internet use —Part I: Internet addiction and problematic internet use—Report Scientific Foresight Unit—Panel for the Future of Science and Technological, Science and Technological Options Assessment (STOA). In Proceedings of the directorate for impact assessment and European added value, directorate-general for parliamentary research services, European Parliament, Brussels, Belgium. Available online: https://www.europarl.europa.eu/stoa/en/document/EPRS_STU(2019)624249 and https://euagenda.eu/publications/harmful-internet-use-part-i-internet-addiction-and-problematic-use(accessed on 26 July 2020).

    • Search Google Scholar
    • Export Citation
  • Lopez-Fernandez, O., & Kuss, D. J. (2020). Preventing harmful internet use-related addiction problems in Europe: A literature review and policy options. International Journal of Environmental Research and Public Health, 17(11), 3797. https://doi.org/10.3390/ijerph17113797.

    • Search Google Scholar
    • Export Citation
  • Lopez-Fernandez, O., Kuss, D. J., Romo, L., Morvan, Y., Kern, L., Graziani, P., et al. (2017). Self-reported dependence on mobile phones in young adults: A European cross-cultural empirical survey. Journal of Behavioral Addictions, 6(2), 168177. https://doi.org/10.1556/2006.6.2017.020.

    • Search Google Scholar
    • Export Citation
  • National Research Council and Institute of Medicine (2019). Preventing mental, emotional, and behavioral disorders among young people: Progress and possibilities. Washington, DC: National Academies Press.

    • Search Google Scholar
    • Export Citation
  • Neverkovich, S. D., Bubnova, I. S., Kosarenko, N. N., Sakhieva, R. G., Sizova, Z. M., Zakharova, V. L., et al. (2018). Students’ internet addiction: Study and prevention. Eurasia Journal of Mathematics, Science and Technology Education, 14(4), 14831495. https://doi.org/10.29333/ejmste/83723.

    • Search Google Scholar
    • Export Citation
  • Petry, N. M., Zajac, K., Ginley, M., Lemmens, J., Rumpf, H. J., Ko, C. H., et al. (2018). Policy and prevention efforts for gaming should consider a broad perspective: Commentary on: Policy responses to problematic video game use: A systematic review of current measures and future possibilities (Király et al., 2018). Journal of Behavioral Addictions, 7(3), 543547.https://doi.org/10.1556/2006.7.2018.64.

    • Search Google Scholar
    • Export Citation
  • Putnam, D. E., & Maheu, M. M. (2000). Online sexual addiction and compulsivity: Integrating web resources and behavioral telehealth in treatment. Sexual Addiction & Compulsivity: The Journal of Treatment and Prevention, 7(1–2), 91112. https://doi.org/10.1080/10720160008400209.

    • Search Google Scholar
    • Export Citation
  • Rumpf, H.J., Achab, S., Billieux, J., Bowden-Jones, H., Carragher, N., Demetrovics, Z., et al. (2018). Including gaming disorder in the ICD-11: The need to do so from a clinical and public health perspective. Journal of Behavioral Addictions, 7, 556561. https://doi.org/10.1556/2006.7.2018.59.

    • Search Google Scholar
    • Export Citation
  • Simeonsson, R. J. (1991). Primary, secondary, and tertiary prevention in early intervention. Journal of Early Intervention, 15(2), 124134. https://doi.org/10.1177/105381519101500202.

    • Search Google Scholar
    • Export Citation
  • Swanton, T. B., Blaszczynski, A., Forlini, C., Starcevic, V., & Gainsbury, S. M. (2019). Problematic risk-taking involving emerging technologies: A stakeholder framework to minimize harms. Journal of Behavioral Addictions, 17. Accepted Manuscript/Online First. https://doi.org/10.1556/2006.8.2019.52.

    • Search Google Scholar
    • Export Citation
  • Teo, A. R., Fetters, M. D., Stufflebam, K., Tateno, M., Balhara, Y., Choi, T. Y., et al. (2015). Identification of the hikikomori syndrome of social withdrawal: Psychosocial features and treatment preferences in four countries. International Journal of Social Psychiatry, 61(1), 6472. https://doi.org/10.1177/0020764014535758.

    • Search Google Scholar
    • Export Citation
  • Vondráčková, P., & Gabrhelik, R. (2016). Prevention of internet addiction: A systematic review. Journal of Behavioral Addictions, 5(4), 568579. https://doi.org/10.1556/2006.5.2016.085.

    • Search Google Scholar
    • Export Citation
  • Wölfling, K., Beutel, M. E., Dreier, M., & Müller, K. W. (2015). Bipolar spectrum disorders in a clinical sample of patients with Internet addiction: Hidden comorbidity or differential diagnosis?. Journal of Behavioral Addictions, 4(2), 101105. https://doi.org/10.1556/2006.4.2015.011.

    • Search Google Scholar
    • Export Citation
  • Young, K. S. (2013). Treatment outcomes using CBT-IA with Internet-addicted patients. Journal of Behavioral Addictions, 2(4), 209215. https://doi.org/10.1556/jba.2.2013.4.3.

    • Search Google Scholar
    • Export Citation
  • Zhan, J., & Chan, H. (2012). Government regulation of online game addiction. Communications of the Association for Information Systems, 30, 187198. https://doi.org/10.17705/1CAIS.03013.

    • Search Google Scholar
    • Export Citation
  • American Psychiatric Association (2013). Diagnostic and statistical manual of mental disorders (DSM-5®). Washington, DC: American Psychiatric Association.

    • Search Google Scholar
    • Export Citation
  • Berthon, P., Pitt, L., & Campbell, C. (2019). Addictive de-vices: A public policy analysis of sources and solutions to digital addiction. Journal of Public Policy & Marketing, 38(4), 451468. https://doi.org/10.1177/0743915619859852.

    • Search Google Scholar
    • Export Citation
  • Brevers, D., & Turel, O. (2019). Strategies for self-controlling social media use: Classification and role in preventing social media addiction symptoms. Journal of Behavioral Addictions, 8(3), 554563.https://doi.org/10.1556/2006.8.2019.49.

    • Search Google Scholar
    • Export Citation
  • Brey, P., Gauttier, S., & Milam, P.-E. (2019). Harmful internet use — Part II: Impact on culture and society—Report scientific foresight unit—Panel for the future of science and technological, science and technological options assessment (STOA). In Proceedings of the directorate for impact assessment and European added value, directorate-general for parliamentary research services, European Parliament, Brussels, Belgium. Available online: https://www.europarl.europa.eu/RegData/etudes/STUD/2019/624269/EPRS_STU(2019)624269_EN.pdf and https://euagenda.eu/publications/harmful-internet-use-part-ii-impact-on-culture-and-society(accessed on 26 July 2020).

    • Search Google Scholar
    • Export Citation
  • Bronfenbrenner, V. (1977). Toward an experimental psychology of human development. American Psychologist, 32, 513531.

  • Caplan, G., & Grunebaum, H. (1967). Perspectives on primary prevention. A review. Archives of General Psychiatry, 17(3), 331346. https://doi.org/10.1001/archpsyc.1967.01730270075012.

    • Search Google Scholar
    • Export Citation
  • Carbonell, X., Chamarro, A., Oberst, U., Rodrigo, B., & Prades, M. (2018). Problematic use of the internet and smartphones in university students: 2006–2017. International Journal of Environmental Research and Public Health, 15, 475. https://doi.org/10.3390/ijerph15030475.

    • Search Google Scholar
    • Export Citation
  • European Pan European Game Information [PEGI] (n.d.). The PEGI age labels: https://pegi.info/what-do-the-labels-mean(accessed on 30 July 2020).

    • Search Google Scholar
    • Export Citation
  • Gola, M., & Potenza, M. N. (2018). Promoting educational, classification, treatment, and policy initiatives: Commentary on: Compulsive sexual behaviour disorder in the ICD-11 (Kraus et al., 2018). Journal of Behavioral Addictions, 7(2), 208210. https://doi.org/10.1556/2006.7.2018.51.

    • Search Google Scholar
    • Export Citation
  • Griffiths, M., Lopez-Fernandez, O., Throuvala, M., Pontes, H., & Kuss, D. (2018). Excessive and problematic use of social media in adolescence: A brief overview. Technical Report. Written evidence submitted by International Gaming Research Unit, Nottingham Trent University (SMH0091) as a UK public policy advice. https://doi.org/10.13140/RG.2.2.11280.71682.

    • Search Google Scholar
    • Export Citation
  • Hussain, Z., & Griffiths, M. D. (2018). Problematic social networking site use and comorbid psychiatric disorders: A systematic review of recent large-scale studies. Frontiers in Psychiatry, 9, 686. https://doi.org/10.3389/fpsyt.2018.00686.

    • Search Google Scholar
    • Export Citation
  • King, D. L., Delfabbro, P. H., Doh, Y. Y., Wu, A. M. S., Kuss, D. J., Pallesen, S., et al. (2017). Policy and prevention approaches for disordered and hazardous gaming and Internet use: An international perspective. Prevention Science ,19(2), 233249. https://doi.org/10.1007/s11121-017-0813-1.

    • Search Google Scholar
    • Export Citation
  • Király, O., Griffiths, M. D., King, D. L., Lee, H. K., Lee, S. Y., Banyai, F., et al. (2018). Policy responses to problematic video game use: A systematic review of current measures and future possibilities. Journal of Behavioral Addictions, 7(3), 503517. Advance online publication. https://doi.org/10.1556/2006.6.2017.050.

    • Search Google Scholar
    • Export Citation
  • Király, O., Potenza, M. N., Stein, D. J., King, D. L., Hodgins, D. C., Saunders, J. B., et al. (2020). Preventing problematic internet use during the COVID-19 pandemic: Consensus guidance. Comprehensive Psychiatry, 152180. https://doi.org/10.1016/j.comppsych.2020.152180.

    • Search Google Scholar
    • Export Citation
  • Koh, Y. S. (2017). The Korean national policy for Internet addiction. In Montag & Reuter (Eds), Internet addiction: Neuroscientific approaches and therapeutical interventions (pp. 219233). Cham: Springer.

    • Search Google Scholar
    • Export Citation
  • Kuss, D.J., Griffiths, M.D., Karila, L., & Billieux, J. (2014). Internet addiction: A systematic review of epidemiological research for the last decade. Current Pharmaceutical Design, 20(25), 40264052.

    • Search Google Scholar
    • Export Citation
  • Lee, S. Y., Kim, M. S., & Lee, H. K. (2019). Prevention strategies and interventions for internet use disorders due to addictive behaviors based on an integrative conceptual model. Current Addiction Reports, 6(3), 303312. https://doi.org/10.1007/s40429-019-00265-z.

    • Search Google Scholar
    • Export Citation
  • Liu, Q. X., Fang, X. Y., Yan, N., Zhou, Z. K., Yuan, X. J., Lan, J., et al. (2015). Multi-family group therapy for adolescent Internet addiction: Exploring the underlying mechanisms. Addictive Behaviors, 42, 18. https://doi.org/10.1016/j.addbeh.2014.10.021.

    • Search Google Scholar
    • Export Citation
  • Lopez-Fernandez, O., & Kuss, D. (2019). Harmful internet use —Part I: Internet addiction and problematic internet use—Report Scientific Foresight Unit—Panel for the Future of Science and Technological, Science and Technological Options Assessment (STOA). In Proceedings of the directorate for impact assessment and European added value, directorate-general for parliamentary research services, European Parliament, Brussels, Belgium. Available online: https://www.europarl.europa.eu/stoa/en/document/EPRS_STU(2019)624249 and https://euagenda.eu/publications/harmful-internet-use-part-i-internet-addiction-and-problematic-use(accessed on 26 July 2020).

    • Search Google Scholar
    • Export Citation
  • Lopez-Fernandez, O., & Kuss, D. J. (2020). Preventing harmful internet use-related addiction problems in Europe: A literature review and policy options. International Journal of Environmental Research and Public Health, 17(11), 3797. https://doi.org/10.3390/ijerph17113797.

    • Search Google Scholar
    • Export Citation
  • Lopez-Fernandez, O., Kuss, D. J., Romo, L., Morvan, Y., Kern, L., Graziani, P., et al. (2017). Self-reported dependence on mobile phones in young adults: A European cross-cultural empirical survey. Journal of Behavioral Addictions, 6(2), 168177. https://doi.org/10.1556/2006.6.2017.020.

    • Search Google Scholar
    • Export Citation
  • National Research Council and Institute of Medicine (2019). Preventing mental, emotional, and behavioral disorders among young people: Progress and possibilities. Washington, DC: National Academies Press.

    • Search Google Scholar
    • Export Citation
  • Neverkovich, S. D., Bubnova, I. S., Kosarenko, N. N., Sakhieva, R. G., Sizova, Z. M., Zakharova, V. L., et al. (2018). Students’ internet addiction: Study and prevention. Eurasia Journal of Mathematics, Science and Technology Education, 14(4), 14831495. https://doi.org/10.29333/ejmste/83723.

    • Search Google Scholar
    • Export Citation
  • Petry, N. M., Zajac, K., Ginley, M., Lemmens, J., Rumpf, H. J., Ko, C. H., et al. (2018). Policy and prevention efforts for gaming should consider a broad perspective: Commentary on: Policy responses to problematic video game use: A systematic review of current measures and future possibilities (Király et al., 2018). Journal of Behavioral Addictions, 7(3), 543547.https://doi.org/10.1556/2006.7.2018.64.

    • Search Google Scholar
    • Export Citation
  • Putnam, D. E., & Maheu, M. M. (2000). Online sexual addiction and compulsivity: Integrating web resources and behavioral telehealth in treatment. Sexual Addiction & Compulsivity: The Journal of Treatment and Prevention, 7(1–2), 91112. https://doi.org/10.1080/10720160008400209.

    • Search Google Scholar
    • Export Citation
  • Rumpf, H.J., Achab, S., Billieux, J., Bowden-Jones, H., Carragher, N., Demetrovics, Z., et al. (2018). Including gaming disorder in the ICD-11: The need to do so from a clinical and public health perspective. Journal of Behavioral Addictions, 7, 556561. https://doi.org/10.1556/2006.7.2018.59.

    • Search Google Scholar
    • Export Citation
  • Simeonsson, R. J. (1991). Primary, secondary, and tertiary prevention in early intervention. Journal of Early Intervention, 15(2), 124134. https://doi.org/10.1177/105381519101500202.

    • Search Google Scholar
    • Export Citation
  • Swanton, T. B., Blaszczynski, A., Forlini, C., Starcevic, V., & Gainsbury, S. M. (2019). Problematic risk-taking involving emerging technologies: A stakeholder framework to minimize harms. Journal of Behavioral Addictions, 17. Accepted Manuscript/Online First. https://doi.org/10.1556/2006.8.2019.52.

    • Search Google Scholar
    • Export Citation
  • Teo, A. R., Fetters, M. D., Stufflebam, K., Tateno, M., Balhara, Y., Choi, T. Y., et al. (2015). Identification of the hikikomori syndrome of social withdrawal: Psychosocial features and treatment preferences in four countries. International Journal of Social Psychiatry, 61(1), 6472. https://doi.org/10.1177/0020764014535758.

    • Search Google Scholar
    • Export Citation
  • Vondráčková, P., & Gabrhelik, R. (2016). Prevention of internet addiction: A systematic review. Journal of Behavioral Addictions, 5(4), 568579. https://doi.org/10.1556/2006.5.2016.085.

    • Search Google Scholar
    • Export Citation
  • Wölfling, K., Beutel, M. E., Dreier, M., & Müller, K. W. (2015). Bipolar spectrum disorders in a clinical sample of patients with Internet addiction: Hidden comorbidity or differential diagnosis?. Journal of Behavioral Addictions, 4(2), 101105. https://doi.org/10.1556/2006.4.2015.011.

    • Search Google Scholar
    • Export Citation
  • Young, K. S. (2013). Treatment outcomes using CBT-IA with Internet-addicted patients. Journal of Behavioral Addictions, 2(4), 209215. https://doi.org/10.1556/jba.2.2013.4.3.

    • Search Google Scholar
    • Export Citation
  • Zhan, J., & Chan, H. (2012). Government regulation of online game addiction. Communications of the Association for Information Systems, 30, 187198. https://doi.org/10.17705/1CAIS.03013.

    • Search Google Scholar
    • Export Citation
  • Collapse
  • Expand

Dr. Zsolt Demetrovics
Institute of Psychology, ELTE Eötvös Loránd University
Address: Izabella u. 46. H-1064 Budapest, Hungary
Phone: +36-1-461-2681
E-mail: jba@ppk.elte.hu

Indexing and Abstracting Services:

  • Web of Science [Science Citation Index Expanded (also known as SciSearch®)
  • Journal Citation Reports/Science Edition
  • Social Sciences Citation Index®
  • Journal Citation Reports/ Social Sciences Edition
  • Current Contents®/Social and Behavioral Sciences
  • EBSCO
  • GoogleScholar
  • PsycINFO
  • PubMed Central
  • SCOPUS
  • Medline
  • CABI
  • CABELLS Journalytics

2023  
Web of Science  
Journal Impact Factor 6.6
Rank by Impact Factor Q1 (Psychiatry)
Journal Citation Indicator 1.59
Scopus  
CiteScore 12.3
CiteScore rank Q1 (Clinical Psychology)
SNIP 1.604
Scimago  
SJR index 2.188
SJR Q rank Q1

Journal of Behavioral Addictions
Publication Model Gold Open Access
Submission Fee none
Article Processing Charge 990 EUR/article
Effective from  1st Feb 2025:
1400 EUR/article
Regional discounts on country of the funding agency World Bank Lower-middle-income economies: 50%
World Bank Low-income economies: 100%
Further Discounts Corresponding authors, affiliated to an EISZ member institution subscribing to the journal package of Akadémiai Kiadó: 100%.
Subscription Information Gold Open Access

Journal of Behavioral Addictions
Language English
Size A4
Year of
Foundation
2011
Volumes
per Year
1
Issues
per Year
4
Founder Eötvös Loránd Tudományegyetem
Founder's
Address
H-1053 Budapest, Hungary Egyetem tér 1-3.
Publisher Akadémiai Kiadó
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 2062-5871 (Print)
ISSN 2063-5303 (Online)

Senior editors

Editor(s)-in-Chief: Zsolt DEMETROVICS

Assistant Editor(s): 

Csilla ÁGOSTON

Dana KATZ

Associate Editors

  • Stephanie ANTONS (Universitat Duisburg-Essen, Germany)
  • Joel BILLIEUX (University of Lausanne, Switzerland)
  • Beáta BŐTHE (University of Montreal, Canada)
  • Matthias BRAND (University of Duisburg-Essen, Germany)
  • Daniel KING (Flinders University, Australia)
  • Gyöngyi KÖKÖNYEI (ELTE Eötvös Loránd University, Hungary)
  • Ludwig KRAUS (IFT Institute for Therapy Research, Germany)
  • Marc N. POTENZA (Yale University, USA)
  • Hans-Jurgen RUMPF (University of Lübeck, Germany)
  • Ruth J. VAN HOLST (Amsterdam UMC, The Netherlands)

Editorial Board

  • Sophia ACHAB (Faculty of Medicine, University of Geneva, Switzerland)
  • Alex BALDACCHINO (St Andrews University, United Kingdom)
  • Judit BALÁZS (ELTE Eötvös Loránd University, Hungary)
  • Maria BELLRINGER (Auckland University of Technology, Auckland, New Zealand)
  • Henrietta BOWDEN-JONES (Imperial College, United Kingdom)
  • Damien BREVERS (University of Luxembourg, Luxembourg)
  • Julius BURKAUSKAS (Lithuanian University of Health Sciences, Lithuania)
  • Gerhard BÜHRINGER (Technische Universität Dresden, Germany)
  • Silvia CASALE (University of Florence, Florence, Italy)
  • Luke CLARK (University of British Columbia, Vancouver, B.C., Canada)
  • Jeffrey L. DEREVENSKY (McGill University, Canada)
  • Geert DOM (University of Antwerp, Belgium)
  • Nicki DOWLING (Deakin University, Geelong, Australia)
  • Hamed EKHTIARI (University of Minnesota, United States)
  • Jon ELHAI (University of Toledo, Toledo, Ohio, USA)
  • Ana ESTEVEZ (University of Deusto, Spain)
  • Fernando FERNANDEZ-ARANDA (Bellvitge University Hospital, Barcelona, Spain)
  • Naomi FINEBERG (University of Hertfordshire, United Kingdom)
  • Sally GAINSBURY (The University of Sydney, Camperdown, NSW, Australia)
  • Belle GAVRIEL-FRIED (The Bob Shapell School of Social Work, Tel Aviv University, Israel)
  • Biljana GJONESKA (Macedonian Academy of Sciences and Arts, Republic of North Macedonia)
  • Marie GRALL-BRONNEC (University Hospital of Nantes, France)
  • Jon E. GRANT (University of Minnesota, USA)
  • Mark GRIFFITHS (Nottingham Trent University, United Kingdom)
  • Joshua GRUBBS (University of New Mexico, Albuquerque, NM, USA)
  • Anneke GOUDRIAAN (University of Amsterdam, The Netherlands)
  • Susumu HIGUCHI (National Hospital Organization Kurihama Medical and Addiction Center, Japan)
  • David HODGINS (University of Calgary, Canada)
  • Eric HOLLANDER (Albert Einstein College of Medicine, USA)
  • Zsolt HORVÁTH (Eötvös Loránd University, Hungary)
  • Susana JIMÉNEZ-MURCIA (Clinical Psychology Unit, Bellvitge University Hospital, Barcelona, Spain)
  • Yasser KHAZAAL (Geneva University Hospital, Switzerland)
  • Orsolya KIRÁLY (Eötvös Loránd University, Hungary)
  • Chih-Hung KO (Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Taiwan)
  • Shane KRAUS (University of Nevada, Las Vegas, NV, USA)
  • Hae Kook LEE (The Catholic University of Korea, Republic of Korea)
  • Bernadette KUN (Eötvös Loránd University, Hungary)
  • Katerina LUKAVSKA (Charles University, Prague, Czech Republic)
  • Giovanni MARTINOTTI (‘Gabriele d’Annunzio’ University of Chieti-Pescara, Italy)
  • Gemma MESTRE-BACH (Universidad Internacional de la Rioja, La Rioja, Spain)
  • Astrid MÜLLER (Hannover Medical School, Germany)
  • Daniel Thor OLASON (University of Iceland, Iceland)
  • Ståle PALLESEN (University of Bergen, Norway)
  • Afarin RAHIMI-MOVAGHAR (Teheran University of Medical Sciences, Iran)
  • József RÁCZ (Hungarian Academy of Sciences, Hungary)
  • Michael SCHAUB (University of Zurich, Switzerland)
  • Marcantanio M. SPADA (London South Bank University, United Kingdom)
  • Daniel SPRITZER (Study Group on Technological Addictions, Brazil)
  • Dan J. STEIN (University of Cape Town, South Africa)
  • Sherry H. STEWART (Dalhousie University, Canada)
  • Attila SZABÓ (Eötvös Loránd University, Hungary)
  • Hermano TAVARES (Instituto de Psiquiatria do Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil)
  • Wim VAN DEN BRINK (University of Amsterdam, The Netherlands)
  • Alexander E. VOISKOUNSKY (Moscow State University, Russia)
  • Aviv M. WEINSTEIN (Ariel University, Israel)
  • Anise WU (University of Macau, Macao, China)
  • Ágnes ZSILA (ELTE Eötvös Loránd University, Hungary)

 

Monthly Content Usage

Abstract Views Full Text Views PDF Downloads
Oct 2024 0 284 29
Nov 2024 0 146 10
Dec 2024 0 120 6
Jan 2025 0 142 39
Feb 2025 0 151 17
Mar 2025 0 100 6
Apr 2025 0 0 0