Development and validation of Kiddie Schedule for Affective Disorders and Schizophrenia (K-SADS) for Internet Gaming Disorder (IGD) and factor analytic assessment

Objective: To develop and validate Kiddie Schedule for Affective Disorders and Schizophrenia, Present and Lifetime version (K-SADS-PL) for Internet Gaming Disorder (IGD) in adolescents. Methods: Questions and threshold criteria of the K-SADS-IGD was generated based on the related section of K-SADS-PL. Then, the sample consist of IGD group and matched control group with no significant difference in psychiatric comorbidities from clinical settings were included to assess the psychometric properties of the K-SADS-IGD. Exploratory and Confirmatory Factor analysis were conducted to evaluate and compare DSM model of IGD and two different Models of IGD proposal in adolescents. Results: Exploratory Factor Analysis of K-SADS-IGD revealed a single factor explaining 61.469% of the total variance. Confirmatory Factor Analysis indicates that although the K-SADS-IGD model fit indices were also acceptable, Model 1, which excluded the 7th criterion of IGD criteria of DSM-5 showed better fit in adolescent population. The Likelihood Ratio Positive and the Likelihood Ratio Negative estimates for the diagnosis of K-SADS-IGD were 31.4 and 0.12, respectively, suggesting that K-SADS-IGD was beneficial for determining the presence and the absence of IGD in adolescents. Also, K-SADS-IGD could detect disordered gamers with significantly low functionality (even after controlling the impact of comorbidities) from non-disordered gamers. Conclusion: K-SADS-IGD was found to be a reliable and valid instrument in adolescents. The model excluding 7th criteria of DSM-5 IGD was found to be more consistent than the current DSM-5 IGD model in the adolescent population. Therefore, the diagnostic criteria might be required to adjust according to the age group since the clinical symptomatology of IGD in adolescents may differ from that in adults. The K-SADS-IGD may meet the need for a certain and standardized tool to assess IGD in this population

Rate of Overlap between ICD-11 Gaming Disorder and DSM-5 Internet Gaming Disorder along with Turkish Reliability of the Gaming Disorder Scale for Adolescents (GADIS-A)

Introduction: The main aims of the current study were (i) to explore the overlap between Internet gaming disorder (IGD) and gaming disorder (GD) diagnoses, (ii) to identify clinical characteristics in clinical settings, and (iii) to measure psychometric properties of the Gaming Disorder Scale for Adolescents (GADIS-A). Methods: 222 adolescents who were followed up within a tertiary-care mental health hospital, were included (IGD/GD group [n = 111], clinical comparison group [n = 90], healthy controls [n = 21]). The tools used were the GADIS-A, Internet Gaming Disorder Scale - Short-Form, The Difficulties in Emotion Regulation Scale (DERS-36), Children's Global Assessment Scale, and a semistructured interview for DSM-5 diagnoses. Results: The overlap rate of IGD and GD is 73%. Comorbid ADHD diagnoses were more commonly found in the IGD group compared to the clinical comparison group. Patients who met GD and IGD diagnoses revealed higher scores in DERS-36. Turkish GADIS-A Item-total score correlation coefficients were between 0.627 and 0.860. In the sample, there was a high level of correlation between the number of DSM-5 and ICD-11 diagnostic criteria met and GADIS-A scale scores. The Cronbach's alphas if item deleted ranged between 0.942 and 0.954. In addition, treatment refusal was more frequent in the IGD group than in the clinical comparison group. Conclusion: The GADIS-A had good to excellent psychometric properties in Turkish adolescents. Despite having a stricter diagnostic criterion, GD overlapped with IGD in a clinical population