INTRODUCTION: With the inclusion of gaming disorder in the ICD-11, diagnostic criteria were introduced for this relatively new disorder. These criteria may be applied to other potential specific Internet-use disorders. The 11-item Assessment of Criteria for Specific Internet-use Disorders (ACSID-11) was developed for consistent screening of gaming disorder, online buying-shopping disorder, online pornography-use disorder, social networks-use disorder, and online gambling disorder. This study tested the construct validity of the ACSID-11, including convergent and divergent measures. METHODS: The ACSID-11 measures five behavioral addictions with the same set of items by following the principles of the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST). The ACSID-11 was administered to a convenience sample of active Internet users (N = 1597) together with validated and established measures of each specific Internet-use disorder along with screeners for mental health. Included are the Ten-Item Internet Gaming Disorder Test (IGDT-10), the Bergen Shopping Addiction Scale (BSAS), the Problematic Pornography Consumption Scale (PPCS), the Bergen Social Media Addiction Scale (BSMAS) and the Berlin Inventory of Gambling behavior - Screening (BIG-S). The ACSID-11 was compared convergently and divergently through a multitrait-multimethod approach along with contingency tables with the other Internet-use disorder screeners. RESULTS: The multitrait-multimethod results shows that each behavior assessed with the ACSID-11 has moderate to strong correlations (r's from 0.462 to 0.609) with the scores of the corresponding established measures and, furthermore, positive correlations (r's from 0.122 to 0.434) with measures of psychological distress and further shows that the ACSID-11 can be used for a comprehensive assessment of different behaviors. The contingency tables reveal large divergences between the ACSID-11 and other screening instruments concerning the classification of problematic specific Internet use based on the given cut-off values. CONCLUSION: The current work provides additional validation for the ACSID-11. Accordingly, this tool can be considered as reliable and valid for the simultaneous assessment of different Internet-use disorders: gaming disorder, online buying-shopping disorder, online pornography use disorder, social networks use disorder, and online gambling disorder. With a subsequent clinical validation of the scale and the proposed cut-off score, the ACSID-11 will be a thoroughly validated useful screening tool for clinical practice.
Internet Addiction Disorder , Humans , Internet Addiction Disorder/diagnosis , Internet Addiction Disorder/psychology , Male , Female , Adult , Reproducibility of Results , International Classification of Diseases , Young Adult , Behavior, Addictive/diagnosis , Behavior, Addictive/psychology , Behavior, Addictive/classification , Middle Aged , Adolescent , Internet , Video Games/psychology , Psychometrics/instrumentation , Psychometrics/methods , Psychiatric Status Rating Scales/standards , Mass Screening/methods , Mass Screening/standards , Surveys and Questionnaires
Background and aims: With the inclusion of gaming disorder in the ICD-11, diagnostic criteria were introduced for this relatively new disorder. These criteria may also be applied to other potential specific Internet-use disorders, which may be classified in ICD-11 as other disorders due to addictive behaviors, such as online buying-shopping disorder, online pornography-use disorder, social-networks-use disorder, and online gambling disorder. Due to the heterogeneity in existing instruments, we aimed to develop a consistent and economic measure of major types of (potential) specific Internet-use disorders based on ICD-11 criteria for gaming disorder. Methods: The new 11-item Assessment of Criteria for Specific Internet-use Disorders (ACSID-11) measures five behavioral addictions with the same set of items by following the principles of WHO's ASSIST. The ACSID-11 was administered to active Internet users (N = 985) together with an adaptation of the Ten-Item Internet Gaming Disorder Test (IGDT-10) and screeners for mental health. We used Confirmatory Factor Analyses to analyze the factor structure of ACSID-11. Results: The assumed four-factorial structure was confirmed and was superior to the unidimensional solution. This applied to gaming disorder and to the other specific Internet-use disorders. ACSID-11 scores correlated with IGDT-10 as well as with the measures of psychological distress. Discussion and Conclusions: The ACSID-11 seems to be suitable for the consistent assessment of (potential) specific Internet-use disorders based on ICD-11 diagnostic criteria for gaming disorder. The ACSID-11 may be a useful and economic instrument for studying various behavioral addictions with the same items and improving comparability.
