Brief overview of the WHO Collaborative Project on the Development of New International Screening and Diagnostic Instruments for Gaming Disorder and Gambling Disorder

Validation of the ACSID-11 for consistent screening of specific Internet-use disorders based on ICD-11 criteria for gaming disorder: A multitrait-multimethod approach

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.

Network analysis of additional clinical features of (Internet) gaming disorder

OBJECTIVES

There are dozens of screening instruments purporting to measure the (Internet) gaming disorder (IGD/GD). The two prominent diagnostic manuals, DSM-5 and ICD-11, list several additional diagnostic or clinical features and problems (e.g., neglect of sleep, neglect of daily duties, health deterioration) that should co-occur or be caused by the IGD/GD. It remains unclear how specific IGD/GD operationalizations (different screening scales) are related to these functional impairments.

METHODS

To explore this, data on six measures of IGD/GD (IGDS9-SF, GDSS, GDT, GAMES test, two self-assessments) and 18 additional diagnostic features were collected from a sample of 1009 players who play digital games at least 13 h per week. A network approach was utilized to determine which operationalization is most strongly associated with functional impairment.

RESULTS

In most of the networks, IGD/GD consistently emerged as the most central node.

CONCLUSION

The similar centrality of IGD/GD, irrespective of its definition (DSM-5 or ICD-11) or operationalization, provides support for the valid comparison or synthesis of results from studies that used instruments coming from both DSM-5 and ICD-11 ontologies, but only if the goal is to evaluate IGD/GD relationships to other phenomena, not the relationships between the symptoms themselves.

[ICD-11: New revision and impact of this classification in psychiatry]

OBJECTIVES

After more than 20 years of work, the World Health Organization's efforts have culminated in the adoption of the 11th revision of the International Classification of Diseases (ICD-11). The process has been guided by the principles of global applicability, scientific validity, and clinical utility. The update of the chapter on mental, behavioral, and neurodevelopmental disorders (MBND) within the ICD-11 has generated widespread interest worldwide. This has raised various questions about the status of mental disorder nosology, changes to diagnostic guidelines, and the potential implications for clinical practice.

METHODS

We conducted a narrative analysis of the literature in four different languages to track the various stages of the ICD-11 revision and to highlight the major changes. We searched databases such as PubMed, EMBASE, MEDLINE, and Google Scholar, and consulted the official websites of the WHO, APA, and UNICEF. A total of 79 articles from 40 different editorials and websites were analyzed and included in this study.

RESULTS

The new chapters on mental disorders in the ICD-11 include 21 groups, as opposed to the 11 in the ICD-10. The changes aim to align the diagnoses with those of the DSM-5 and introduce a new chapter structure, new diagnostic categories, modifications to diagnostic criteria, and advancements in dimensionality. For the first time in the history of the ICD, sleep and wakefulness disorders, as well as disorders related to sexual health, have been addressed in separate chapters of the international classification. Four new diagnoses have been added: complex post-traumatic stress disorder (PTSD), gaming disorder, prolonged grief disorder, and compulsive sexual behavior which replaces "excessive sexual activity" in the ICD-10. Moreover, the ICD-11 revision has brought about a fundamental change in the clinical conceptualization of addictive behaviors, introducing a distinction between substance use disorders and addictive behaviors. The criteria for many existing conditions have been revised, particularly those related to bipolar disorders, eating disorders, and gender identity disorders.

CONCLUSIONS

The revision process for mental, behavioral, and neurodevelopmental disorders in the ICD-11 has witnessed unprecedented participation in the history of mental disorder classification. These changes could have a significant impact on clinical practice in psychiatry. However, it is crucial to examine the advantages and limitations of this new classification compared to previous versions.

Treatment of harmful gambling: a scoping review of United Kingdom-based intervention research

BACKGROUND

Understanding and treating the harm caused by gambling is a growing international psychiatric and public health challenge. Treatment of gambling harm may involve psychological and pharmacological intervention, in conjunction with peer support. This scoping review was conducted to identify, for the first time, the characteristics and extent of United Kingdom (UK) based gambling treatment research. We reviewed studies conducted among people seeking treatment for disordered or harmful gambling in the UK, the settings, research designs, and outcome measures used, and to identify any treatment research gaps.

METHODS

Systematic searches of PsycInfo, PsycArticles, Scopus, PubMed, and Web of Science databases were carried out for gambling treatment research or evaluation studies conducted in the UK. Studies were included if they evaluated the effectiveness of an intervention or treatment designed to improve symptoms of harmful or problematic gambling, reported outcomes of interventions on treatment adherence, gambling symptoms, or behaviours using standardised measures, were conducted in the UK, and were published since 2000.

RESULTS

Eight studies met the inclusion criteria. Four were retrospective chart reviews, two were single-participant case reports, one described a retrospective case series, and one employed a cross-sectional design. None used an experimental design.

CONCLUSION

The limited number of studies included in this review highlights a relative paucity of gambling treatment research conducted in UK settings. Further work should seek to identify potential barriers and obstacles to conducting gambling treatment research in the UK.

Predictors of Gaming Disorder or Protective from It, in a French Sample: A Symptomatic Approach to Self-Regulation and Pursued Rewards, Providing Insights for Clinical Practice

Gaming disorder (GD) is a new health condition still requiring a lot of evidence established around its underlying and related psychological mechanisms. In our study we focused on Massively Multiplayer Online Role Playing Games (MMORPGs), a specific very popular and engaging game genre, to determine that benefit, motivation and control aspects could be predictive of a dysfunctional engagement in gaming. In total, 313 participants were recruited from private forums of gamers between May 2009 and March 2010. They filled out a questionnaire on their socio-demographic data and their weekly gaming time. They also completed different psychometric assessments such as the DSM IV-TR criteria for substance dependence adapted to gaming such as the Dependence Adapted Scale (DAS), the external rewards they expected from gaming (External Motives), the expected internal reward they expected from gaming (Internal Motives), the Zuckerman Sensation Seeking Scale (ZSSS), and the Barratt impulsiveness Scale (BIS-10). Results showed that some psychological factors related to online gaming represented risk factors for GD in participants (i.e., competition and advancement motives, reduced anxiety, solace, greater personal satisfaction, and sense of power), whereas some others were found to be protective factors from GD (i.e., recreation, enjoyment and experience seeking) in participants. Additionally, the study found that disinhibition, boredom susceptibility, thrill and adventure seeking, and high impulsivity were correlated to GD in participants. In conclusion, not only motives for gaming and impulsivity could be predictors for GD, but maladaptive coping strategies based on experienced relief in-game from negative feelings (anxiety and boredom) or experienced improvement in-game of self-perception (personal satisfaction, sense of power) could play as well a role of negative reinforcers for GD. Some benefits from gaming, typically entertainment and enjoyment, are shown to be protective factors from GD, playing the role of positive reinforcing factors. They are worthy of being identified and promoted as functional gaming habits. These findings can feed the clinical and health promotion fields, with a more in-depth understanding of diverse psychological factors in gamers, identifying those at risk for GD and those protective from it. The current work can foster a more balanced approach towards gaming activities, taking their opportunities for mankind and controlling for their adverse effects in some individuals.