Treatment of internet addiction pdf

Schools at all levels should routinely include education about IGD and expand the infrastructure they have in place for other potentially problematic behaviors drugs, alcohol, risky sex, gambling, etc to include problems with electronic media;. Because of the consistent link between IGD and poor school performance, schools may be an excellent place for screening for IGD and for providing referrals for services when problems with IGD or related issues are uncovered;.

What message does it send if a school supports gaming as education, in light of the real potential for the development of IGD? Schools should provide training to parents and educators to recognize potential problems; and. Schools and community centers can be of particular value in helping parents to identify nongaming creative opportunities.

All authors were involved in drafting a larger paper from which this summary manuscript was created, and all authors approved the final manuscript as submitted. The analysis, conclusions, and recommendations contained in each paper are solely a product of the individual workgroup and are not the policy or opinions of, nor do they represent an endorsement by Children and Screens: Institute of Digital Media and Child Development or the American Academy of Pediatrics.

Recipient s will receive an email with a link to 'Internet Gaming Disorder in Children and Adolescents' and will not need an account to access the content. Advertising Disclaimer ». Sign In or Create an Account. Search Close. Create Account. Advanced Search. Skip Nav Destination Article Navigation. Close mobile search navigation Article navigation. Previous Article Next Article. Current State. Future Research. Clinicians and Providers. Policy Makers. Article Navigation.

Supplement Article November 01 Gentile, PhD ; Douglas A. Gentile, PhD. Address correspondence to Douglas A. E-mail: dgentile iastate. This Site. Google Scholar. Sarah M. Coyne, PhD ; Sarah M. Coyne, PhD. Donald S. Grant, PhD ; Donald S. Grant, PhD. Internet addiction can cause cognitive issues, psychological disturbances, and social problems. However, it has been formally recognized by the American Psychological Association.

Countries like China and South Korea have also recognized internet addiction as a problematic health issue. Just because you use the internet a lot, like watching YouTube videos, shopping online frequently, or often checking social media, does not mean you have an internet addiction.

The trouble comes when these activities start to interfere with your daily life. Although the DSM-5 has not officially recognized IAD in its standard textbook, certain internet addiction symptoms have been identified to characterize this condition.

These signs include the following: 1. As with any technology, there are associated benefits and risks. The downside to social media use is that it exposes teens to: 3,4. Download Download PDF. Translate PDF. Few authors have dealt with the prevention programme.

The aim of this paper is to present an evaluation of an action-research intervention for the prevention of Internet Addiction IA in schools. Methods: Applying a pre-experimental research design model, a total of 90 young subjects 45 males and 45 females were treated using a peer education programme. The Internet Addiction Test was used as a screening tool pre- and post-treatment and analysed using a paired t-test.

Results: The results showed a significant positive difference in the post-treatment values for both males and females. Conclusion: The difficulties of IA prevention can be explained by the social legitimacy of the use of new technologies. In addition, IA does not have the same social stigma as other addictions. The absence of shared instruments and diagnostic criteria manifests further difficulties in working in terms of prevention.

IA since our culture encourages and legitimizes the use of In addition, there are no accepted diagnostic criteria new technologies. In addition, IA does not have the same and standardised assessment tools for IA [10]. Research social stigma as other addictions such as alcohol, drugs conducted in the US and Europe has estimated that IA and gambling. In psychiatry, there is much debate as to has a prevalence of approximately 1.

However, it has been be seen in Asia, where the observed prevalence is 2. The research intervention was conducted In Italy Milani, Osualdella for one year, with weekly three-hour sessions by a clinical and Di Blasio [18], found that The work on aged between years showed signs of problematic small groups and on plenary sessions were interspersed Internet use as evaluated with the Internet Addiction Test due to activities. The statistical determining the risk and protective factors related to health, analysis highlights how the mean IAT scores for the males including dependencies [20,21,22,23].

Similar results were observed in the as a site of any possible form of intervention. The current study aims Parental control, self-regulation, family therapy, to evaluate the impact of this preventing intervention on cognitive therapy, reality therapy represent possible students. Despite all these suggestions, few studies deal with IA prevention and very few have been carried out on a METHOD sufficiently controlled experimental level [30,31,32,33]. This could be due to the fact that dependency issues According to a field study, a pre-experimental associated with IA differ from classical dependencies and research design model was applied [24].

It used the are often confused, legitimated and hidden as normal non-probability sampling technique of snowball sampling social behaviour. One volunteer e. Evidence for this upward trend has been [19], created by Young, was used as a screening tool for seen over time through different studies carried out in IA and was administered collectively before and after the Italy: It consisted of 20 items that assessed the use Latina , All these refer to moderate and , and severe IA [7].

Although this trend could be seen as an analysed using a paired samples t-test. The intervention epidemic growth of IA from a health point of view, it involved the use of active methods e. The adoption of Preventing among the same generation due to the different contexts IA through a peer education programme anchored in that organise the lives of these teenagers.

In our In addition, this variability is not only seen in different opinion, this aspect explains how at the end of the reference populations but it is also directly attributable to the intervention the students score lower on IAT. We are fact that adolescence is a period characterised by extreme inclined to interpret these findings as strictly related to the variability.

In our opinion, the creative dimension between recognition of these pathological forms of the disorder, peers has helped to build a solid commitment by the which has caused problems in terms of primary prevention.

In fact, mobile phones, computers and software IRP -AS [45] and the ICSU Compulsive Internet Use were the means to think about the way students relate to Scale [46] appear to be adequate for diagnosis but are these tools and the potential harm to their overuse. The ineffective in identifying possible risk conditions. In other demonstrated vulnerability of males to substance addiction words, they are only able to identify confirmed cases of IA. Furthermore, other studies results could be an expression of other latent or unexplored have shown no differences between the sexes in IA.

This factors. For example, they could reflect how social inconsistency may not purely reflect differences in the types desirability has played a role in the answers provided by of studies but may be attributed to the variability in cultural the students at the end of the intervention. On the one hand, we understanding of the effects of the work carried out so far.

Multi-dimensional cultural dynamics to better understand the interactions discriminative factors for Internet addiction among adolescents between risk and protective factors for IA. Prefrontal control and Internet addiction: a theoretical model and review of neuropsychological and neuroimaging findings.

Brenner, V. Parameters of Internet use, abuse, and addiction: the first 90 days of the Internet usage survey. Byun, S. Internet addiction: metasynthesis of — quantitative research. Campbell, D. Convergent and discriminant validation by the multitrait-multimethod matrix. Campbell, R. Home Health Care Manag. Caplan, S. Problematic Internet use and psychosocial well-being: development of a theory-based cognitive-behavioral measurement instrument.

A social skill account of problematic Internet use. Relations among loneliness, social anxiety, and problematic Internet use. Carver, C. Cash, H. Internet addiction: a brief summary of research and practice. Psychiatry Rev. Chak, K. Shyness and locus of control as predictors of Internet addiction and Internet use. Chou, C. A review of the research on Internet addiction.

Cohen, J. Collani, G. CrossRef Full Text. Davis, R. A cognitive-behavioral model of pathological Internet use. De Jong Gierveld, J.

A 6-item scale for overall, emotional, and social loneliness: confirmatory tests on survey data. Aging 28, — Derogatis, L. Aadministration, Scoring and Procedures Manual , 3rd Edn. Dong, G. Precursor or sequela: pathological disorders in people with internet addiction disorder. Impaired error-monitoring function in people with internet addiction disorder: an event-related FMRI study.

Dunne, E. Impulsivity, expectancies, and evaluations of expected outcomes as predictors of alcohol use and related problems. Drug Alcohol Abuse 39, — Eastman, J. Marketing 21, — Ebeling-Witte, S. Shyness, Internet use, and personality. Everitt, B. Neural systems of reinforcement for drug addiction: from actions to habits to compulsion.

Franke, G. Brief Symptom Invertory von L. Grant, J. Phenomenology and treatment of behavioural addictions. Psychiatry 58, — Griffiths, M. Some case study evidence. Internet addiction-time to be taken seriously? Use 10, — Internet sex addiction: a review of empirical research. Theory 20, — Risk factors in adolescence: the case of gambling, videogame playing, and the Internet.

Hardie, E. Excessive Internet use: the role of personality, loneliness, and social support networks in Internet Addiction. Hong, S. Reduced orbitofrontal cortical thickness in male adolescents with internet addiction. Brain Funct. Decreased functional brain connectivity in adolescents with internet addiction. Horn, J. A rationale and test for the number of factors in factor analysis.

Psychometrika 30, — Hou, H. Reduced striatal dopamine transporters in people with internet addiction disorder. Hu, L. London: Sage Publications, Inc. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Modeling 6, 1— Huang, C.

Gender differences in academic self-efficacy: a meta-analysis. Johansson, A. Internet addiction: characteristics of a questionnaire and prevalence in Norwegian youth 12—18 years. Kalivas, P. The neural basis of addiction: a pathology of motivation and choice. Kardefelt-Winther, D. A conceptual and methodological critique of internet addiction research: towards a model of compensatory internet use. Kim, H. Toward a comprehensive theory of problematic Internet use: evaluating the role of self-esteem, anxiety, flow, and the self-rated importance of Internet activities.

Kim, S. Reduced striatal dopamine D2 receptors in people with Internet addiction. Neuroreport 22, — Knoll, N. Coping as a mediator between personality and stress outcomes: a longitudinal study with cataract surgery patients. Ko, C. Gender differences and related factors affecting online gaming addiction among Taiwanese adolescents.

Kuss, D. Internet gaming addiction: a systematic review of empirical research. Health Addict. Online social networking and addiction: a review of the psychological literature. Public Health 8, — Internet and gaming addiction: a systematic literature review of neuroimaging studies.

Brain Sci. Internet addiction: a systematic review of epidemiological research for the last decade. Laier, C. Cybersex addiction: experienced sexual arousal when watching pornography and not real-life sexual contacts makes the difference. Cybersex addiction in heterosexual female users of Internet pornography can be explained by gratification hypothesis. Lee, Y. Child Psychol. Leung, L. Net-generation attributes and seductive properties of the Internet as predictors of online activities and Internet addiction.

Lewis, B. Alcohol expectancies and social deficits relating to problem drinking among college students. Lopez-Fernandez, O. Problematic internet use in British adolescents: an exploration of the addictive symptomatology. Lortie, C. Internet addiction assessment tools: dimensional structure and methodological status.