Diagnostic Usefulness of an Ultra-Brief Screener to Identify Risk of Online Gaming Disorder for Children and Adolescents

The Gaming Disorder Identification Test (GADIT) - A screening tool for Gaming Disorder based on ICD-11

Background

Gaming Disorder was included as an addictive disorder in the latest version of the International Classification of Diseases (ICD-11), published in 2022. The present study aimed to develop a screening tool for Gaming Disorder, the Gaming Disorder Identification Test (GADIT), based on the four ICD-11 diagnostic criteria: impaired control, increasing priority, continued gaming despite harm, and functional impairment.

Method

We reviewed 297 questionnaire items from 48 existing gaming addiction scales and selected 68 items based on content validity. Two datasets were collected: 1) an online panel (N = 803) from Australia, United States, United Kingdom and Canada, split into a development set (N = 589) and a validation dataset (N = 214); and 2) a university sample (N = 408) from Australia. Item response theory and confirmatory factor analyses were conducted to select eight items to form the GADIT. Validity was established by regressing the GADIT against known correlates of Gaming Disorder.

Results

Confirmatory factor analyses of the GADIT showed good model fit (RMSEA=<0.001-0.108; CFI = 0.98-1.00), and internal consistency was excellent (Cronbach's alphas = 0.77-0.92). GADIT scores were strongly associated with the Internet Gaming Disorder Test (IGDT-10), and significantly associated with gaming intensity, eye fatigue, hand pain, wrist pain, back or neck pain, and excessive in-game purchases, in both the validation and the university sample datasets.

Conclusion

The GADIT has strong psychometric properties in two independent samples from four English-speaking countries collected through different channels, and shown validity against existing scales and variables that are associated with Gaming Disorder. A cut-off of 5 is tentatively recommended for screening for Gaming Disorder.

A pragmatic, clinically optimized approach to characterizing adolescent irritability: Validation of parent- and adolescent reports on the Multidimensional Assessment Profile Scales-Temper Loss Scale

OBJECTIVES

Heightened irritability in adolescence is an impairing symptom that can lead to negative outcomes in adulthood, but effective screening tools are lacking. This study aimed to derive clinically-optimized cutoff scores using the Multidimensional Assessment Profile Scales-Temper Loss (MAPS-TL) to pragmatically identify adolescents with impairing irritability.

METHODS

A diverse sample of 79 adolescents and their parents completed the MAPS-TL-Youth version. Stepwise logistic regression analyses were used to determine the items associated with impairment, and receiver operator characteristic (ROC) analyses were conducted to derive optimal cutoff scores.

RESULTS

Three parent-report items (become frustrated easily, angry/irritable/grouchy throughout the day, difficulty calming down when angry) and two youth-report items (hit/shove/kick when lost temper, difficulty calming down when angry) were strongly associated with impairment. Optimal cutoff scores garnered very good sensitivity (91%, 73%) and specificity (77%, 75%) for the parent- and youth-report versions respectively. Scores above these cutoffs were associated with increased internalizing and externalizing problems and lower overall quality of life.

CONCLUSIONS

The MAPS-TL clinically optimized irritability scores show preliminary validity for implementation in practical settings to efficiently identify adolescents who need additional evaluation and/or intervention. Further research is important to validate these cutoff scores with larger population-based samples and real-world settings.

Developmentally specified characterization of the irritability spectrum at early school age: Implications for pragmatic mental health screening

OBJECTIVES

Developmentally specified measures that identify clinically salient irritability are needed for early school-age youth to meaningfully capture this transdiagnostic risk factor for psychopathology. Thus, the current study modeled the normal:abnormal irritability spectrum and generated a clinically optimized screening tool for this population.

METHODS

The irritability spectrum was modeled via the youth version of the Multidimensional Assessment Profile Scales-Temper Loss Scale (MAPS-TL-Youth) in children (n = 474; 6.0-8.9 years) using item response theory (IRT). Both cross-cutting core irritability items from the early childhood version and new developmentally specific items were included. Items uniquely associated with impairment were identified and used to derive a brief, clinically optimized irritability screener. Longitudinal data were then utilized to test the predictive utility of this clinically optimized screener in preadolescence (n = 348; 8.0-12.9 years).

RESULTS

Most children exhibit irritability regularly, but daily occurrence was rare. Of the top 10 most severe items from the IRT analyses, 9 were from the developmentally specific items added for the MAPS-TL Youth version. Two items associated with concurrent impairment were identified for the clinically optimized irritability screener ("Become frustrated easily" and "Act irritable"). The MAPS-TL-Youth clinically optimized screener demonstrated good sensitivity (69%) and specificity (84%) in relation to concurrent DSM 5 irritability-related diagnoses. Youth with elevated scores on the screener at early school age (ESA) had more than 7x greater odds of irritability-related psychopathology at pre-adolescence.

CONCLUSIONS

The MAPS-TL-Youth characterized the developmental spectrum of irritability at ESA and a clinically optimized screener showed promise at predicting psychopathology risk. Rigorous testing of clinical applications is a critical next step.

Assessment of Criteria for Specific Internet-use Disorders (ACSID-11): Introduction of a new screening instrument capturing ICD-11 criteria for gaming disorder and other potential Internet-use disorders

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.

The Impact of Online Game Addiction on Adolescent Mental Health: A Systematic Review and Meta-analysis

Abstract: Introduction: The World Health Organization (WHO) in 2019 determined that Internet Gaming Disorders (IGD) were included as mental health disorders. Among adolescents, excessive online gaming has become a lifestyle and is associated with psychological symptoms (psychopathological symptoms and life satisfaction), social health (social interactions) and physical health (general health and body mass index). The IGD has now become a problem all over the world.   AIM: This study aims to analyze the impact of online game addiction on adolescents using the Preferred Reporting Items for Systematic Reviews (PRISMA) approach.   MATERIALS AND METHODS: Subjects were searched extensively from the Pubmed, Sage, Science Direct, and Scopus databases. The search used the keywords "online game addiction", "mental health", and "youth". The inclusive criteria for the included  literature in this study  were as follow; the literature had to be sourced from journal article, written in English, available in full text, the published between  2011-2021, and the age of the adolescent subject should be 13-18 years. We identified 81 articles of which 20 were deemed relevant for this systematic review.   RESULTS: This review study shows that problematic online gaming behavior has a strong negative correlation with various subjective health outcomes.   CONCLUSION: Early relevant prevention for  adolescents from the IGD is the appropriate use of  internet/ gadgets as the only option to avoid or to reduce the symptoms of internet addiction and online games.   Keywords : Online game addiction; Mental health; Adolescents; Good Health and Wellbeing