Characteristics and Psychiatric Symptoms of Internet Gaming Disorder among Adults Using Self-Reported DSM-5 Criteria-Reference-Cited by-同舟云学术

Characteristics and Psychiatric Symptoms of Internet Gaming Disorder among Adults Using Self-Reported DSM-5 Criteria

Published:2016 Issue:1 Volume:13 Page:58
ISSN:1738-3684
Container-title:Psychiatry Investigation
language:en
Short-container-title:Psychiatry Investig

Author:

Kim Na Ri¹,Hwang Samuel Suk-Hyun²,Choi Jung-Seok³,Kim Dai-Jin⁴,Demetrovics Zsolt⁵,Király Orsolya⁵,Nagygyörgy Katalin⁵,Griffiths Mark. D.⁶,Hyun So Yeon⁷,Youn Hyun Chul⁸,Choi Sam-Wook⁹¹⁰

Affiliation:

1. Laboratory of Addiction Policy, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea.

2. Department of Psychology, Chonnam National University, Gwangju, Republic of Korea.

3. Department of Psychiatry, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea.

4. Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.

5. Institute of Psychology, Eötvös Loránd University, Budapest, Hungary.

6. Nottingham Trent University, Psychology Division, Nottingham, United Kingdom.

7. Eulji Addiction Institute, Gangnam Eulji Hospital, Eulji University, Seoul, Republic of Korea.

8. Chungmugong Leadership Center, Naval Education and Training Command, Republic of Korea Navy, Changwon, Republic of Korea.

9. Korea Institute on Behavioral Addictions, Easy Brain Clinic, Seoul, Republic of Korea.

10. Health Care & Information Research Institute, Namseoul University, Cheonan, Republic of Korea.

Publisher

Korean Neuropsychiatric Association

Subject

Biological Psychiatry,Psychiatry and Mental health

Reference36 articles.

1. Diagnostic and Statistical Manual of Mental Disorders

2. An international consensus for assessing internet gaming disorder using the new DSM-5 approach

3. Relationship between Internet Game Addiction and Psychiatric Symptoms in a Child and Adolescent Psychiatric Clinic

4. Predictors of Protective Factors for Internet Game Addiction in Middle School Students using Data Mining Decision Tree Analysis

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