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Treatment outcomes using CBT-IA with Internet-addicted patients

Background and aims: Internet Gaming Disorder, a subtype of Internet Addiction, is now classified in Section 3 of the DSM-5. Cognitive behavioral therapy (CBT) has been suggested in treating Internet addiction as this modality has been shown to be an effective treatment for similar impulse control d...

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Autor principal: Young, Kimberly S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Akadémiai Kiadó 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4154573/
https://www.ncbi.nlm.nih.gov/pubmed/25215202
http://dx.doi.org/10.1556/JBA.2.2013.4.3
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author Young, Kimberly S.
author_facet Young, Kimberly S.
author_sort Young, Kimberly S.
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description Background and aims: Internet Gaming Disorder, a subtype of Internet Addiction, is now classified in Section 3 of the DSM-5. Cognitive behavioral therapy (CBT) has been suggested in treating Internet addiction as this modality has been shown to be an effective treatment for similar impulse control disorders. Given the daily and necessary use of the Internet and technology in general compared to other compulsive syndromes, a specialized form of CBT has been developed called Cognitive-Behavioral Therapy for Internet Addiction (CBT-IA). CBT-IA is a comprehensive three phase approach that includes behavior modification to control compulsive Internet use, cognitive restructuring to identify, challenge, and modify cognitive distortions that lead to addictive use, and harm reduction techniques to address and treat co-morbid issues associated with the disorder. Methods: As the first model of its kind, this study examines 128 clients to measure treatment outcomes using CBT-IA. Clients were evaluated using the Internet Addiction Test (IAT) to classify subjects and were administered twelve weekly sessions of CBT-IA. Treatment outcomes were measured at the end of the twelve weeks, one-month, three months and at six month post-treatment. Results: Results showed that over 95% of clients were able to manage symptoms at the end of the twelve weeks and 78% sustained recovery six months following treatment. Discussion and Conclusions: Results found that CBT-IA was effective at ameliorating symptoms associated with Internet addiction after twelve weekly sessions and consistently over one-month, three months, and six months after therapy. Further research implications such as investigating long-term outcome effects of the model with larger client populations and treatment differences among the subtypes of Internet addiction or with other cultural populations using CBT-IA are discussed.
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spelling pubmed-41545732014-09-11 Treatment outcomes using CBT-IA with Internet-addicted patients Young, Kimberly S. J Behav Addict Full-Length Report Background and aims: Internet Gaming Disorder, a subtype of Internet Addiction, is now classified in Section 3 of the DSM-5. Cognitive behavioral therapy (CBT) has been suggested in treating Internet addiction as this modality has been shown to be an effective treatment for similar impulse control disorders. Given the daily and necessary use of the Internet and technology in general compared to other compulsive syndromes, a specialized form of CBT has been developed called Cognitive-Behavioral Therapy for Internet Addiction (CBT-IA). CBT-IA is a comprehensive three phase approach that includes behavior modification to control compulsive Internet use, cognitive restructuring to identify, challenge, and modify cognitive distortions that lead to addictive use, and harm reduction techniques to address and treat co-morbid issues associated with the disorder. Methods: As the first model of its kind, this study examines 128 clients to measure treatment outcomes using CBT-IA. Clients were evaluated using the Internet Addiction Test (IAT) to classify subjects and were administered twelve weekly sessions of CBT-IA. Treatment outcomes were measured at the end of the twelve weeks, one-month, three months and at six month post-treatment. Results: Results showed that over 95% of clients were able to manage symptoms at the end of the twelve weeks and 78% sustained recovery six months following treatment. Discussion and Conclusions: Results found that CBT-IA was effective at ameliorating symptoms associated with Internet addiction after twelve weekly sessions and consistently over one-month, three months, and six months after therapy. Further research implications such as investigating long-term outcome effects of the model with larger client populations and treatment differences among the subtypes of Internet addiction or with other cultural populations using CBT-IA are discussed. Akadémiai Kiadó 2013-12 2013-12-13 /pmc/articles/PMC4154573/ /pubmed/25215202 http://dx.doi.org/10.1556/JBA.2.2013.4.3 Text en Copyright: © 2013 Akadémiai Kiadó, Budapest http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Full-Length Report
Young, Kimberly S.
Treatment outcomes using CBT-IA with Internet-addicted patients
title Treatment outcomes using CBT-IA with Internet-addicted patients
title_full Treatment outcomes using CBT-IA with Internet-addicted patients
title_fullStr Treatment outcomes using CBT-IA with Internet-addicted patients
title_full_unstemmed Treatment outcomes using CBT-IA with Internet-addicted patients
title_short Treatment outcomes using CBT-IA with Internet-addicted patients
title_sort treatment outcomes using cbt-ia with internet-addicted patients
topic Full-Length Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4154573/
https://www.ncbi.nlm.nih.gov/pubmed/25215202
http://dx.doi.org/10.1556/JBA.2.2013.4.3
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