39.1 ATTENTION, EXTERNALIZING, AND INTERNALIZING PROBLEMS MEDIATE DIFFERENTLY ON INTERNET GAMING DISORDER AND INTERNET ADDICTION AMONG CHILDREN AND ADOLESCENTS EXPOSED TO ADVERSE CHILDHOOD EXPERIENCES

2020 ◽  
Vol 59 (10) ◽  
pp. S218-S219
Author(s):  
Mi-Sun Lee ◽  
Soo-Young Bhang
Keyword(s):  
Children And Adolescents ◽  
Internet Addiction ◽  
Internalizing Problems ◽  
Adverse Childhood Experiences ◽  
Internet Gaming Disorder ◽  
Gaming Disorder ◽  
Childhood Experiences ◽  
Internet Gaming ◽  
Adverse Childhood ◽  
Externalizing And Internalizing Problems

scholarly journals Is the I-PACE (Interaction of Person-Affect-Cognition-Execution) model valid in South Korea? The effects of adverse childhood experiences (ACEs) on internet gaming disorder and the mediating effect of stress on adolescents

2021 ◽  
Keyword(s):  
South Korea ◽  
Adverse Childhood Experiences ◽  
Internet Gaming Disorder ◽  
Mediating Effect ◽  
Gaming Disorder ◽  
Management Skills ◽  
Childhood Experiences ◽  
Internet Gaming ◽  
Adverse Childhood ◽  
Stress Score

Abstract Background and aims The purpose of the present study was to investigate the effects of adverse childhood experiences (ACEs) on internet gaming disorder (IGD) and the mediating effect of stress based on the Interaction of Person-Affect-Cognition-Execution (I-PACE) model. Methods The 2017 survey data from one community addiction management center in South Korea were analyzed. A sample of 3,593 adolescents (mean age = 13.75 years, SD = 2.22) were recruited from 23 elementary, middle and high schools and 11 local children’s centers. The mediating effect was analyzed by the three-step analysis method. Results Our study found that ACEs had a significant effect on the stress score (B = 1.420, P < 0.001) and the stress scale score had a significant effect the IGD score (B = 0.127, P < 0.001). After adjusting for the stress score in the model, ACEs had a significant effect on the IGD score (B = 0.328, P < 0.001), and the stress score had partial mediating effects (B = 0.1802, 95% C. I: 0.131–0.239). Discussion We found that ACEs directly affect IGD and that ACEs directly affect IGD through stress in support of the I-PACE model. In the sensitivity analysis, the mediating effect of stress in the low-risk IGD group was significant, but the mediating effect of stress in the high-risk IGD group was not significant. Prior ACEs should be considered when interviewing IGD clients. In addition, enhancing stress management skills would be beneficial to IGD clients with a history of ACEs, and actions reducing exposure to ACEs in childhood are necessary.

scholarly journals Estimated Prevalence of Unreported IGD Cases in Routine Outpatient Children and Adolescent Psychotherapy

2021 ◽  
Vol 18 (13) ◽  
pp. 6787
Author(s):  
Sonja Kewitz ◽  
Eva Vonderlin ◽  
Lutz Wartberg ◽  
Katajun Lindenberg
Keyword(s):  
Children And Adolescents ◽  
Internet Gaming Disorder ◽  
Self Report ◽  
Clinical Population ◽  
Gaming Disorder ◽  
Parental Report ◽  
Outpatient Psychotherapy ◽  
Old Patients ◽  
Internet Gaming ◽  
Icd 10

Internet Gaming Disorder (IGD) has been included in the DSM-5 as a diagnosis for further study, and Gaming Disorder as a new diagnosis in the ICD-11. Nonetheless, little is known about the clinical prevalence of IGD in children and adolescents. Additionally, it is unclear if patients with IGD are already identified in routine psychotherapy, using the ICD-10 diagnosis F 63.8 (recommended classification of IGD in ICD-10). This study investigated N = 358 children and adolescents (self and parental rating) of an outpatient psychotherapy centre in Germany using the Video Game Dependency Scale. According to self-report 4.0% of the 11- to 17-year-old patients met criteria for a tentative IGD diagnosis and 14.0% according to the parental report. Of the 5- to 10-year-old patients, 4.1% were diagnosed with tentative IGD according to parental report. Patients meeting IGD criteria were most frequently diagnosed with hyperkinetic disorders, followed by anxiety disorders, F 63.8, conduct disorders, mood disorders and obsessive-compulsive disorders (descending order) as primary clinical diagnoses. Consequently, this study indicates that a significant amount of the clinical population presents IGD. Meaning, appropriate diagnostics should be included in routine psychological diagnostics in order to avoid “hidden” cases of IGD in the future.

Adverse childhood experiences and dental health in children and adolescents

2014 ◽  
Vol 43 (3) ◽  
pp. 193-199 ◽  
Author(s):  
Melissa A. Bright ◽  
Shannon M. Alford ◽  
Melanie S. Hinojosa ◽  
Caprice Knapp ◽  
Daniel E. Fernandez-Baca
Keyword(s):  
Children And Adolescents ◽  
Adverse Childhood Experiences ◽  
Dental Health ◽  
Childhood Experiences ◽  
Adverse Childhood

scholarly journals Treatments for Internet gaming disorder and Internet addiction: A systematic review.

2017 ◽  
Vol 31 (8) ◽  
pp. 979-994 ◽  
Author(s):  
Kristyn Zajac ◽  
Meredith K. Ginley ◽  
Rocio Chang ◽  
Nancy M. Petry
Keyword(s):  
Systematic Review ◽  
Internet Addiction ◽  
Internet Gaming Disorder ◽  
Gaming Disorder ◽  
Internet Gaming

scholarly journals The Clinical Utility of the Chen Internet Addiction Scale—Gaming Version, for Internet Gaming Disorder in the DSM-5 among Young Adults

2019 ◽  
Vol 16 (21) ◽  
pp. 4141 ◽  
Author(s):  
Chih-Hung Ko ◽  
Sue-Huei Chen ◽  
Chih-Hung Wang ◽  
Wen-Xiang Tsai ◽  
Ju-Yu Yen
Keyword(s):  
Internet Addiction ◽  
Large Scale ◽  
Internet Gaming Disorder ◽  
Cutoff Point ◽  
Gaming Disorder ◽  
Diagnostic And Statistical Manual ◽  
Dsm 5 ◽  
Internet Gaming ◽  
Cutoff Points ◽  
Optimal Screening

Objectives: The Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) includes the diagnostic criteria for Internet gaming disorder (IGD). This study evaluated (1) the screening, diagnostic, and prevalence-estimated cutoff points of the Chen Internet Addiction Scale–Gaming Version (CIAS-G) for IGD in the DSM-5; and (2) the differences in the CIAS-G and subscale scores among individuals with IGD, regular gamers (RGs), and other control subjects. Methods: We recruited 69 participants with IGD, 69 RGs, and 69 healthy participants based on diagnostic interviews conducted by a psychiatrist according to DSM-5 IGD criteria. All participants completed the CIAS-G and were assessed using the clinical global impression scale. Results: The optimal screening and diagnostic cutoff points were 68 or more (sensitivity, 97.1%; specificity, 76.8%) and 72 or more (sensitivity, 85.5%; specificity, 87.0%) for IGD based on DSM-5 criteria, respectively. The 76 or more cutoff point had the highest number needed to misdiagnose and was the optimal prevalence estimated cutoff point. Conclusions: The screening cutoff point could be used to identify individuals with IGD for further diagnostic interviewing to confirm the diagnosis in the clinical setting or for two-stage epidemiological evaluation. The diagnostic cutoff point provides a provisional diagnosis of IGD when diagnostic interviewing is unavailable. The prevalence-estimated cutoff point could be used to estimate the prevalence of IGD in large-scale epidemiological investigations when further diagnostic interviewing is impractical. The clinical and epidemiological utility of CIAS-G warrants further study.

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