Epidemiological Challenges in the Study of Behavioral Addictions: a Call for High Standard Methodologies

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.

Using machine learning algorithms and techniques for defining the impact of affective temperament types, content search and activities on the internet on the development of problematic internet use in adolescents' population

Background

By using algorithms and Machine Learning - ML techniques, the aim of this research was to determine the impact of the following factors on the development of Problematic Internet Use (PIU): sociodemographic factors, the intensity of using the Internet, different contents accessed on the Internet by adolescents, adolescents' online activities, life habits and different affective temperament types.

Methods

Sample included 2,113 adolescents. The following instruments were used: questionnaire about: socio-demographic characteristics, intensity of the Internet use, content categories and online activities on the Internet; Facebook (FB) usage and life habits; The Internet Use Disorder Scale (IUDS). Based on their scores on the scale, subjects were divided into two groups - with or without PIU; Temperament Evaluation of Memphis, Pisa, Paris, and San Diego scale for adolescents (A-TEMPS-A).

Results

Various ML classification models on our data set were trained. Binary classification models were created (class-label attribute was PIU value). Models hyperparameters were optimized using grid search method and models were validated using k-fold cross-validation technique. Random forest was the model with the best overall results and the time spent on FB and the cyclothymic temperament were variables of highest importance for these model. We also applied the ML techniques Lasso and ElasticNet. The three most important variables for the development of PIU with both techniques were: cyclothymic temperament, the longer use of the Internet and the desire to use the Internet more than at present time. Group of variables having a protective effect (regarding the prevention of the development of PIU) was found with both techniques. The three most important were: achievement, search for contents related to art and culture and hyperthymic temperament. Next, 34 important variables that explain 0.76% of variance were detected using the genetic algorithms. Finally, the binary classification model (with or without PIU) with the best characteristics was trained using artificial neural network.

Conclusion

Variables related to the temporal determinants of Internet usage, cyclothymic temperament, the desire for increased Internet usage, anxious and irritable temperament, on line gaming, pornography, and some variables related to FB usage consistently appear as important variables for the development of PIU.

Gaming disorder test: Assessing psychometric properties, prevalence, temporal stability, and invariance using a Czech two-time-point longitudinal sample

In 2019, Gaming Disorder (GD) was acknowledged as an official diagnosis by the World Health Organization. The Gaming Disorder Test (GDT) is the most widely used tool to measure GD; however, due to its novelty, various measurement properties are still unexplored, and the number of validated language variants is still limited. The present study is the first to assess the psychometric properties of the Czech version of the GDT. Further, it focuses on its temporal prevalence and stability, gaming genre invariance, and criterion validity. A large-scale sample of adult Czech gamers collected at two points within nine months was analysed - T1 N = 5356; T2 N = 6077; longitudinal sample N = 1430. Confirmatory factor analysis (CFA), structural equation modelling (SEM), and multigroup CFA were employed to assess the measurement invariance. The study confirmed the one-factor structure of the GDT and showed that it is invariant across preferred gaming genres and the time of data collection. It showed a negative relationship with life satisfaction and a positive relationship with anxiety, even when controlling for their mutual relationships. The prevalence in the longitudinal sample was equal to or below 1.9% in each wave, but only 0.5% in the longitudinal sample (hence n = 7 participants fulfilled in both waves the criteria for GD). The study suggests that the Czech version of the GDT has good psychometric properties, including temporal stability and invariance across gaming genres, so it is suitable for the survey type and epidemiological investigation of the ICD-11's Gaming Disorder.

A longitudinal study on the impact of Internet gaming disorder on self-perceived health, academic performance, and social life of first-year college students

BACKGROUND AND OBJECTIVES

Internet gaming disorder (IGD) is associated with health, social, and academic problems but whether these are consequences of the disorder rather than precursors or correlates is unclear. We aimed to evaluate whether IGD in the 1st year of university predicts health, academic and social problems 1 year later, controlling for baseline health, academic and social problems, demographics, and mental health symptoms.

METHODS

In a prospective cohort study, 1741 university students completed both a baseline online survey in their 1st year and a follow-up survey 1 year later. Log-binomial models examined the strength of prospective associations between baseline predictor variables (IGD, baseline health, academic and social problems, sex, age, and mental health symptoms) and occurrence of health, academic and social problems at follow-up.

RESULTS

When extensively adjusted by the corresponding outcome at baseline, any mental disorder symptoms, sex, and age, baseline IGD was associated only with severe school impairment and poor social life (risk ratio [RR] = 1.77; 95% confidence interval [CI] = 1.14-2.75, p = .011; RR = 1.22; 95% CI = 1.07-1.38, p = .002, respectively).

CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE

University authorities and counselors should consider that incoming 1st-year students that meet criteria for IGD are likely to have increased academic and social impairments during their 1st year for which they may want to intervene. This study adds to the existing literature by longitudinally examining a greater array of negative outcomes of IGD than previously documented.

Prevalence of problematic Internet use and problematic gaming in Spanish adolescents

Epidemiological studies on problematic Internet use and problematic gaming conducted so far have mainly been carried out with unrepresentative and self-selected convenience samples, resulting in unreliable prevalence rates. This study estimates the prevalence of problematic Internet use and problematic gaming in a large sample of Spanish adolescents (N = 41,507) and identifies risk and protective factors for these risky behaviours. Data were collected online using the Adolescent Problem Internet Use Scale and the Adolescent Gaming Addiction Scale. Using a cut-off approach with measurement instruments inspired by the DSM-5 framework, we found a prevalence of 33% for problematic Internet use and 3.1% for problematic gaming. With a more conservative approach inspired by the ICD-11 framework, prevalence rates decreased to 2.98% for problematic Internet use and 1.8% for problematic gaming. Female gender, higher parents' education, elevated Internet connection time, reporting being online after midnight and using the mobile phone in class predicted problematic Internet use; whereas male gender, "living situation" where families do not have a traditional structure or stable environment, elevated Internet connection time and reporting using the mobile phone in class predicted problematic gaming. A cut-off approach involving scales that recycle substance use criteria (as in the DSM-5) over-pathologize Internet use and gaming behaviours. In contrast, the ICD-11 approach seems to provide more realistic and reliable prevalence rates.

Internet Gaming Disorder Does Not Predict Mood, Anxiety or Substance Use Disorders in University Students: A One-Year Follow-Up Study

We seek to evaluate whether Internet Gaming Disorder (IGD) among university students in Mexico during their first year at university predicts a long list of mental disorders a year later, controlling for baseline mental health disorders as well as demographics. This is a prospective cohort study with a one-year follow-up period conducted during the 2018-2019 academic year and followed up during the 2019-2020 academic year at six Mexican universities. Participants were first-year university students (n = 1741) who reported symptoms compatible with an IGD diagnosis at entry (baseline). Outcomes are seven mental disorders (mania, hypomania, and major depressive episodes; generalized anxiety disorder and panic disorder; alcohol use disorder and drug use disorder), and three groups of mental disorders (mood, anxiety, and substance use disorders) at the end of the one-year follow-up. Fully adjusted models, that included baseline controls for groups of mental disorders, rendered all associations null. The association between baseline IGD and all disorders and groups of disorders at follow-up was close to one, suggesting a lack of longitudinal impact of IGD on mental disorders. Conflicting results from available longitudinal studies on the role of IGD in the development of mental disorders warrant further research.

Advances in problematic usage of the internet research - A narrative review by experts from the European network for problematic usage of the internet

Global concern about problematic usage of the internet (PUI), and its public health and societal costs, continues to grow, sharpened in focus under the privations of the COVID-19 pandemic. This narrative review reports the expert opinions of members of the largest international network of researchers on PUI in the framework of the European Cooperation in Science and Technology (COST) Action (CA 16207), on the scientific progress made and the critical knowledge gaps remaining to be filled as the term of the Action reaches its conclusion. A key advance has been achieving consensus on the clinical definition of various forms of PUI. Based on the overarching public health principles of protecting individuals and the public from harm and promoting the highest attainable standard of health, the World Health Organisation has introduced several new structured diagnoses into the ICD-11, including gambling disorder, gaming disorder, compulsive sexual behaviour disorder, and other unspecified or specified disorders due to addictive behaviours, alongside naming online activity as a diagnostic specifier. These definitions provide for the first time a sound platform for developing systematic networked research into various forms of PUI at global scale. Progress has also been made in areas such as refining and simplifying some of the available assessment instruments, clarifying the underpinning brain-based and social determinants, and building more empirically based etiological models, as a basis for therapeutic intervention, alongside public engagement initiatives. However, important gaps in our knowledge remain to be tackled. Principal among these include a better understanding of the course and evolution of the PUI-related problems, across different age groups, genders and other specific vulnerable groups, reliable methods for early identification of individuals at risk (before PUI becomes disordered), efficacious preventative and therapeutic interventions and ethical health and social policy changes that adequately safeguard human digital rights. The paper concludes with recommendations for achievable research goals, based on longitudinal analysis of a large multinational cohort co-designed with public stakeholders.

Criteria for the establishment of a new behavioural addiction •

When does repeated behaviour constitute behavioural addiction? There has been considerable debate about non-substance-related addictions and how to determine when impaired control over a behaviour is addiction. There are public health benefits to identifying new behavioural addictions if intervention can improve outcomes. However, criteria for establishing new behavioural addictions must guard against diagnostic inflation and the pathologizing of normal problems of living. Criteria should include clinical relevance (Criterion 1), alignment with addiction phenomenology (Criterion 2) and theory (Criterion 3), and taxonomic plausibility (Criterion 4). Against such criteria, evidence does not yet support classification of pornography-use and buying-shopping disorders as addictions.

Factor structure of ten psychoactive substance addictions and behavioural addictions

Over the past two decades, many problematic/excessive behaviours have increasingly been conceptualized as addictions due to their similarity with more traditional psychoactive substance addictions. The primary aim of the present study was to simultaneously examine the factor structure of three psychoactive substance addictions (alcohol use, cigarette smoking, and substance use) and seven behavioural addictions (sex, social media use, shopping, exercise, online gambling, internet gaming, and internet use), using exploratory factor analysis (EFA; N = 481) and confirmatory factor analysis (CFA; N = 487). A total of 968 participants completed an online survey including ten psychometric scales assessing the ten different potentially addictive behaviours. EFA supported a two-factor solution, with different factors for the psychoactive substance and behavioural addictions (excluding exercise addiction). CFA supported the two-factor model in a separate sample. There was good support for the concurrent and discriminant validities of the CFA latent factors and the reliability of the behavioural latent factor in the two-factor CFA model. While there was support for the concurrent and discriminant validities of the psychoactive substance latent factor, there was insufficient support for its reliability. The taxonomic, theoretical, and clinical implications of the findings are discussed.

Self-perceived substance and behavioral addictions among Jewish Israeli adolescents during the COVID-19 Pandemic

•

Overall rates found in self-perceived substance and behavioral addictions among Israeli adolescents during the COVID-19 pandemic.

•

Differences found in self-perceived substance and behavioral addictions by age, biological sex, religiosity, immigration status, and socioeconomic status.

This study examined self-perceived substance and behavioral addictions among Israeli adolescents during the COVID-19 pandemic across different sociodemographic categories. The sample comprised 2,074 adolescents (40% males, 60% females) aged 12–19 years who completed the survey anonymously and with parental consent. We examined what is the prevalence of self-perceived substance and behavioral addictions in this population in the COVID-19 pandemic context. Participants reported self-perceived addictions to social networks (70%), shopping (46%), binge eating (34%), gaming (30%), sex-related behavior (15%), psychoactive substance (31%, including alcohol, tobacco, cannabis, and/or cocaine), and gambling (3%). Moreover, differences were found to be directly related to age, biological sex, religiosity, socioeconomic status, and immigration status. From a lay epidemiological perspective, the current research expands our knowledge about self-perceived addiction among adolescents during the COVID-19 pandemic, offering better understanding of the likelihood probability factors for self-perceived addiction among adolescents and its related negative outcomes, including increased risk factors for later adult life.

Prevalence of gaming disorder: A meta-analysis

BACKGROUND

Gaming disorder (GD) has been listed in the International Classification of Diseases 11th Revision. Studies on GD prevalence have been highly heterogeneous, and there are significant gaps in prevalence estimates. Few studies have examined what methodological and demographic factors could explain this phenomenon. Therefore, this meta-analytic study quantifies globally reported GD prevalence rates and explores their various moderating variables.

METHODS

Prevalence estimates were extracted from 61 studies conducted before December 3, 2020, which included 227,665 participants across 29 countries. Subgroup and moderator analyses were used to investigate the potential causes of heterogeneity, including region, sample size, year of data collection, age group, study design, sampling method, survey format, sample type, risk of bias, terminology, assessment tool, and male proportion.

RESULTS

The overall pooled prevalence of GD was 3.3% (95% confidence interval: 2.6-4.0) (8.5% in males and 3.5% in females). By selecting only 28 representative sample studies, the prevalence estimate was reduced to 2.4% (95% CI 1.7-3.2), and the adjusted prevalence estimate using the trim-and-fill method was 1.4% (95% CI 0.9-1.9). High heterogeneity in GD prevalence rates was influenced by various moderators, such as participant variables (e.g., region, sample size, and age) and study methodology (e.g., study design, sampling method, sample type, terminology, and instrument). The moderator analyses revealed that the sample size, mean age, and study quality were negatively associated with GD prevalence.

CONCLUSIONS

This study confirms that GD prevalence studies were highly heterogeneous based on participant demographics and research methodologies. Various confounding variables, such as sampling methods, sample types, assessment tools, age, region, and cultural factors have significantly influenced the GD prevalence rates. Prevalence estimates are likely to vary depending on study quality. Further epidemiological studies should be conducted using rigorous methodological standards to more accurately estimate GD prevalence.

Text Comprehension Analyses to Improve Assessment Accuracy: Demonstration Using Gambling Disorder Screening

Many individuals diagnosed with an addictive disorder are members of disadvantaged groups and obtain a high school education or less, yet self-report questionnaires widely used to identify symptoms of addictive disorders do not use best practices to ensure item clarity and comprehension. In the present study, we explore how advanced text-analysis technology can be used to guide the development of a diagnostic questionnaire with an emphasis on maximizing its readability and then test the accuracy of this questionnaire. In Study 1, a self-report questionnaire for symptoms of gambling disorder was created using best practices for item clarity and comprehension. In study 2 an experimental design was used to test whether the measure with enhanced readability, compared to a commonly used screening instrument, improved diagnostic symptom accuracy among samples of high school and college educated individuals. Subsequent analyses revealed that education was positively related to item comprehension, and participants who completed the maximized readability questionnaire correctly identified more symptoms of gambling disorder than participants who completed the comparison questionnaire, regardless of educational attainment. These studies indicate that the rate at which individuals accurately identify symptoms of psychopathology is strongly related to their educational attainment and the readability of the questionnaire items themselves.

Pilot Study of a Brief Intervention to Treating Internet Use Disorders

Abstract: Aim: Studies on brief interventions for Internet use disorders (IUD) are lacking. In this pilot study we tested the feasibility and preliminary efficacy of an approach applying Motivational Interviewing and elements of cognitive behavioral therapy. Methods: Clients in four job centers and the job agency in Lübeck, Germany, were approached for a proactive screening in order to identify problematic Internet use or IUD with the Compulsive Internet Use Scale (CIUS). Screening-positives were checked in a clinical interview for fulfilling three or more criteria according to the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). Participants were randomized into intervention (personal counselling and up to three counselling sessions via telephone) and control group. A two-month follow-up was conducted. Results: Of all 3,600 clients approached, 1680 clients could be screened and 298 were screening-positive (17.7%). After a diagnostic interview 36 participants could be allocated to intervention and control group. In the two-months follow-up, decrease of problematic Internet use was higher in the intervention group, although not statistically significant (p=.216) (0.216) a small to medium effect size could be observed. Conclusion: The feasibility of this early intervention approach was evident. Larger sample sizes are needed to examine the efficacy of similar interventions. Findings of this study are promising and suggest future research. Evidence of effectiveness of such short interventions could enhance the impact and magnitude of measures and make an important contribution to preventative efforts.

How Theoretical Models Can Inspire Advances in Research and Clinical Practice: The Example of Behavioral Addictions

Abstract. Aims: In this narrative position paper, we will summarize some examples of theoretical models of behavioral addictions. We will then make some suggestions for how theoretical models may inspire both research and clinical practice in the context of behavioral addictions. Results: Current theoretical models typically distinguish between general and specific risk factors. It is commonly argued that based on conditioning processes, affective responses to specific stimuli (cue-reactivity and craving) develop within the course of behavioral addictions. Diminished control over the behavior is reflected in reductions in inhibitory control and executive functioning. Cognitive distortions, attentional biases, and behavior-related expectancies are also considerable mechanisms. Theoretical models have been used to inspire advances not only in research but also in clinical practice. For example, theoretical models have inspired the development of standardized treatment protocols. Conclusions: If theoretical models contributed more consistently to scientific studies, a better understanding of the processes underlying specific mental disorders could be facilitated, which could then promote updates and modifications of the theoretical models and improvements in clinical practice. Close connections and stimulating discussions between theorists and therapists are very important and beneficial for advances over time.

Vereinheitlichung der Bezeichnungen für Verhaltenssüchte

Zusammenfassung. Fragestellung: Es existiert eine Vielzahl von Begriffen für Verhaltenssüchte, die Mängel in Operationalisierung, Bezug zum Verhalten, Kompatibilität mit internationalen Klassifikationen sowie nicht stigmatisierender Nutzung aufweisen. Daher werden einheitliche Begriffe für Verhaltenssüchte benötigt. Methode: Im Rahmen einer Leitlinie zur Diagnostik und Behandlung Internetbezogener Störungen wurden Lösungen in Form eines Expertenkonsens entwickelt. Ergebnisse: Als Grundlage wurde die Einteilung von Verhaltenssüchten in der 11. Revision der International Classification of Diseases (ICD-11) genutzt. Es wurden die Begriffe Computerspielstörung (CSS) und Glücksspielstörung (GSS) für die beiden in ICD-11 enthaltenen Verhaltenssüchte gewählt sowie drei weitere spezifizierte Verhaltenssüchte vorgeschlagen: Soziale-Netzwerke-Nutzungsstörung (SNS), Shoppingstörung (ShS) und Pornografie-Nutzungsstörung (PNS). Für CSS, GSS und ShS wird weiterhin zwischen vorwiegend online oder vorwiegend offline unterschieden. Als Oberbegriff wird Störungen aufgrund von Verhaltenssüchten vorgeschlagen. Für Störungen aufgrund von Verhaltenssüchten, die sich vorwiegend auf online ausgeübte Verhaltensweisen beziehen, kann alternativ der Oberbegriff Internetnutzungsstörungen verwendet werden. Schlussfolgerung: Die vorgeschlagenen Termini weisen Verbesserungen im Vergleich zu uneindeutigen oder aus anderen Gründen ungünstigen Begriffen dar. Gleichzeitig konnte eine Kompatibilität mit der ICD-11 ermöglicht werden.

The Potential of Digital Phenotyping and Mobile Sensing for Psycho-Diagnostics of Internet Use Disorders

Purpose of Review

The present paper provides an accessible overview on the potential of digital phenotyping and mobile sensing not only shedding light on the nature of Internet Use Disorders (IUD), but also to provide new ideas on how to improve psycho-diagnostics of mental processes linked to IUD.

Recent Findings

In detail, the psycho-diagnostic areas of prevention, treatment, and aftercare in the realm of IUDs are focused upon in this work. Before each of these areas is presented in more specificity, the terms digital phenotyping and mobile sensing are introduced against the background of an interdisciplinary research endeavor called Psychoinformatics. Obstacles to overcome problems in this emerging research endeavor—sensing psychological traits/states from digital footprints—are discussed together with risks and chances, which arise from the administration of online-tracking technologies in the field of IUDs.

Summary

Given the limited validity and reliability of traditional assessment via questionnaires or diagnostic interviews with respect to recall bias and tendencies to answer towards social desirability, digital phenotyping and mobile sensing offer a novel approach overcoming recall bias and other limitations of usual assessment approaches. This will not only set new standards in precisely mapping behavior, but it will also offer scientists and practitioners opportunities to detect risky Internet use patterns in a timely manner and to establish tailored feedback as a means of intervention.

Global prevalence of gaming disorder: A systematic review and meta-analysis

BACKGROUND

Gaming disorder was included in the latest revision of the International Classification of Diseases (11th ed.). Worldwide, prevalence estimates of gaming disorder are considerably heterogeneous and often appear to be exceedingly high. However, few studies have examined the methodological, cultural and/or demographic factors that might explain this phenomenon. This review employed meta-analytic techniques to compute the worldwide-pooled prevalence of gaming disorder and evaluate the potential contributing factors for varied prevalence estimates.

METHOD

Prevalence estimates were extracted from 53 studies conducted between 2009 and 2019, which included 226,247 participants across 17 different countries. Study findings were meta-analyzed using a random-effects model. Subgroup and moderator analyses examined potential sources of heterogeneity, including assessment tool and cut-off, participant age and gender, sample size and type, study region, and year of data collection.

RESULTS

The worldwide prevalence of gaming disorder was 3.05% (confidence interval: [2.38, 3.91]); this figure was adjusted to 1.96% [0.19, 17.12] when considering only studies that met more stringent sampling criteria (e.g. stratified random sampling). However, these estimates were associated with significant variability. The choice of screening tool accounted for 77% of the variance, with the Lemmens Internet gaming disorder-9, Gaming Addiction Identification Test and Problematic Videogame Playing scales associated with the highest estimates. Adolescent samples, lower cut-off scores and smaller sample size were significant predictors of higher prevalence. Gaming disorder rates were approximately 2.5:1 in favor of males compared to females.

CONCLUSION

The worldwide prevalence of gaming disorder appears to be comparable to obsessive-compulsive disorder and some substance-related addictions, but lower than compulsive buying and higher than problem gambling. Gaming disorder prevalence rates appear to be inflated by methodological characteristics, particularly measurement and sampling issues.

The Clinical Consistency and Utility of ICD-11 Diagnostic Guidelines for Gaming Disorder: A Field Study Among the Chinese Population

Purpose: As a new category proposed in the International Classification of Diseases (11th Revision) (ICD-11), the reliability and clinical utility of ICD diagnostic guidelines for gaming disorder (GD) in the Chinese population have not been studied. The purpose of this field study is to clarify the reliability, clinical utility, and cultural applicability of ICD diagnostic guidelines for GD in China and its comparability with Internet GD (IGD) in the Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) (DSM-5). Methods: Participants included 21 paired clinical raters consisting of seven psychiatrists and 200 gaming players aged from 15 to 18 years with different risk levels of Internet addiction based on the scores of Young's Internet Addiction Test. Each participant received a semi-structured face-to-face interview by paired clinical raters at the same time. Then clinical raters made the diagnosis and filled the clinical utility questionnaire independently according to the diagnostic guidelines for GD in both ICD-11 and DSM-5. Results: The diagnostic consistency coefficient (kappa value) between the paired clinical raters was 0.545 (0.490-0.600, p < 0.001) and 0.622 (0.553-0.691, p < 0.001) for ICD-11 and DSM-5 diagnostic guidelines, respectively, for GD. The diagnostic consistency was 0.847 (0.814-0.880, p < 0.001) between GD in ICD-11 and IGD in DSM-5. Meanwhile, 86.7% of responses that agreed with the ICD-11 diagnostic guidelines for GD provided enough detailed implementation characteristics and showed good overall clinical applicability (86.0%), specificity (94.4%), usefulness (84.1%), and acceptable cultural adaptation (74.8%). GD in ICD-11 was slightly more accepted than IGD in DSM-5 (p < 0.001), while the clinical efficiency of ICD-11 was inferior to that of DSM-5 (p < 0.001). Conclusion: This study indicates that the ICD-11 diagnostic guidelines for GD have acceptable clinical reliability and high consistency with IGD in DSM-5. Their clinical applicability and cultural adaption are comparable with those of DSM-5. Although the guidelines still need to be adjusted for better implementation in China, this is already a great step committed to reducing the serious consequences caused by excessive gaming behaviors through effective identification and normative diagnosis, especially for adolescents.

Different cultures, similar daydream addiction? An examination of the cross-cultural measurement equivalence of the Maladaptive Daydreaming Scale

BACKGROUND AND AIMS

Maladaptive Daydreaming (MD) is a proposed mental disorder, in which absorption in rich, narrative fantasy becomes addictive and compulsive, resulting in emotional, social, vocational, or academic dysfunction. Most studies on MD were carried out on aggregated international samples, using translated versions of the Maladaptive Daydreaming Scale (MDS-16). However, it is unknown whether the properties of MD are affected by culture. Thus, we investigated the cross-cultural measurement invariance of the MDS-16.

METHODS

We recruited both individuals self-identified as suffering from MD and non-clinical community participants from four countries: the USA, Italy, Turkey, and the UK (N = 1,081).

RESULTS

Configural invariance was shown, suggesting that the hypothesized four-factor structure of the MDS-16 (including Yearning, Impairment, Kinesthesia, and Music) holds across cultures. Metric invariance was shown for Impairment, Kinesthesia, and Music, but not for Yearning, suggesting that the psychological meaning of the latter factor may be understood differently across cultures. Scalar invariance was not found, as MD levels were higher in the USA and UK, probably due to the over-representation of English-speaking members of MD communities, who volunteered for the study.

DISCUSSION AND CONCLUSIONS

We conclude that the urge to be absorbed in daydreaming and the fantasies' comforting and addictive properties may have different meanings across countries, but the interference of MD to one's daily life and its obstruction of long-term goals may be the central defining factor of MD.

Systematic review and meta-analysis of epidemiology of internet addiction

BACKGROUND

The field of internet addiction has experienced significant debates on conflicting epidemiology. This meta-analysis investigated the prevalence rates of generalized internet addiction (GIA) and internet gaming disorder (IGD).

METHODS

We included 113 epidemiologic studies covering 693,306 subjects published from 1996 to 2018 (for 31 nations) that reported prevalence rates for GIA or IGD. We examined pooled prevalence of GIA and IGD and the hypothesized moderators including year, geographic regions, types of scales, and sample representativeness.

RESULTS

All 133 effect sizes included 53,184 subjects with GIA or IGD. Weighted average prevalence for GIA and IGD were 7.02 % (95 % CI, 6.09 %-8.08 %) and 2.47 % (95 % CI, 1.46 %-4.16 %) respectively. For GIA, prevalence was increased over time and prevalence rates variated among different scales. IGD prevalence was neither moderated by year, regions, nor sample representativeness.

CONCLUSIONS

The prevalence of GIA was higher than the prevalence of IGD. The GIA prevalence was increasing over time and variated with different assessments. Our results reveal that GIA may reflect a pattern of increasing human-machine interaction.

Verhaltenssüchte in der ICD-11

Ziel Der Beitrag stellt die Verortung von Verhaltenssüchten in der ICD-11 dar und gibt einen Ausblick auf die zukünftige Entwicklung.

Methodik Sichtung der Literatur

Ergebnisse Auf Basis von Expertenmeetings der Weltgesundheitsorganisation (WHO) wurde ein Vorschlag entwickelt, auf Basis dessen die Gambling und Gaming Disorder in die aktuelle Fassung der International Classification of Diseases (ICD-11) aufgenommen wurden. Beide Störungen werden mit den gleichen 3 Kernmerkmalen beschrieben (Kontrollverlust, Priorität im Leben und Fortsetzung trotz negativer Konsequenzen) und erfordern darüber hinaus das Vorliegen einer funktionalen Beeinträchtigung. Eine Reihe von Studien belegt die klinische Relevanz dieser Entscheidung. Darüber hinaus lassen sich weitere spezifizierte Verhaltenssüchte kodieren, wobei nach Sichtung der Literatur insbesondere Buying-Shopping Disorder, Pornografy Use Disorder und Social Networks Use Disorder hierfür geeignet erscheinen.

Schlussfolgerung Insbesondere bei der Computerspielstörung ist zu erwarten, dass die Aufnahme in die ICD-11 die Entwicklung von Diagnostik, Prävention und Therapie diese Störung fördert. Unter Federführung der WHO werden derzeit diagnostische Verfahren für beide Störungen entwickelt, um Standardinstrumente bereit zu stellen.

Covid-19-Pandemie und Verhaltenssüchte

Zusammenfassung. Einführung und Zielsetzung: Die COVID-19 Pandemie und die entsprechenden Lockdown-Maßnahmen verdeutlichen, dass besondere Strategien der Verhaltens- und Verhältnisprävention für Online-Verhaltenssüchte notwendig sind. Begründung: Die Wahrscheinlichkeit ist hoch, dass die COVID-19 Krise und die begleitenden Maßnahmen zu deren Eindämmung die Risiken für die Entwicklung von Verhaltenssüchten erhöht haben. Dazu tragen Faktoren wie Fortfall von terrestrischen Angeboten, soziale Isolation und erzwungene Inaktivität sowie Bedeutungsgewinn von Online-Angeboten bei. Gleichzeitig können als Folge bei bereits bestehenden Störungen die Schwere zu- und Remissionschancen abgenommen haben. Auch von einem erhöhten Rückfallrisiko kann ausgegangen werden. Schlussfolgerung: Es sind epidemiologische Studien notwendig, um veränderte Prävalenzen, Versorgungsbedarfe und geänderte Risikofaktoren zu erfassen. Es besteht die Notwendigkeit, Maßnahmen der Verhältnis- und Verhaltensprävention zu entwickeln und umzusetzen. Die Identifizierung von Risikoverhalten wäre durch Tracking des Online-Verhaltens möglich und könnte Ausgangspunkt für Maßnahmen wie Spiel- oder Anwendungspausen, Warnhinweise und Verbraucherschutzinformationen sowie konkrete Angebote der Frühintervention oder weitergehende Hilfen sein. Die Anbieter stehen hier in der Pflicht, Verantwortung für ihre Produkte zu übernehmen, das Risiko von Verhaltenssüchten zu minimieren und Maßnahmen von Frühentdeckung und Intervention zu ermöglichen und bereitzustellen.

Which conditions should be considered as disorders in the International Classification of Diseases (ICD-11) designation of "other specified disorders due to addictive behaviors"?

BACKGROUND

Gambling and gaming disorders have been included as "disorders due to addictive behaviors" in the International Classification of Diseases (ICD-11). Other problematic behaviors may be considered as "other specified disorders due to addictive behaviors (6C5Y)."

METHODS

Narrative review, experts' opinions.

RESULTS

We suggest the following meta-level criteria for considering potential addictive behaviors as fulfilling the category of "other specified disorders due to addictive behaviors":1. Clinical relevance: Empirical evidence from multiple scientific studies demonstrates that the specific potential addictive behavior is clinically relevant and individuals experience negative consequences and functional impairments in daily life due to the problematic and potentially addictive behavior.2. Theoretical embedding: Current theories and theoretical models belonging to the field of research on addictive behaviors describe and explain most appropriately the candidate phenomenon of a potential addictive behavior.3. Empirical evidence: Data based on self-reports, clinical interviews, surveys, behavioral experiments, and, if available, biological investigations (neural, physiological, genetic) suggest that psychological (and neurobiological) mechanisms involved in other addictive behaviors are also valid for the candidate phenomenon. Varying degrees of support for problematic forms of pornography use, buying and shopping, and use of social networks are available. These conditions may fit the category of "other specified disorders due to addictive behaviors".

CONCLUSION

It is important not to over-pathologize everyday-life behavior while concurrently not trivializing conditions that are of clinical importance and that deserve public health considerations. The proposed meta-level-criteria may help guide both research efforts and clinical practice.

Selfie-engagement on social media: Pathological narcissism, positive expectation, and body objectification - Which is more influential?

The current use of social media platforms by active young users/creators of visual content provides an easy medium to achieve narcissistic goals of self-promotion and attention-seeking, and to socialize with self-objectification experiences. One of the most popular activities associated with social media use is selfie-sharing. Consequently, the global focus on online physical appearance approval could reinforce selfie-engagement as a specific body image-related behavior, potentially associated with selfie-marketing strategies for self-improvement, and problematic social media use. The present study evaluated the main direct effect of pathological narcissism, objectified body consciousness, and expectations toward selfies on young women's and men's selfie-engagement. A total of 570 young adults (66.8% females; mean age = 24.4 years, SD = 3.6) participated in an online survey study. Variables were assessed using the Pathological Narcissism Inventory (Fossati, Feeney, Pincus, Borroni, & Maffei, 2015), Objectified Body Consciousness Scale (Dakanalis et al., 2015), Selfie-expectancies Scale (Boursier & Manna, 2018), and a measure of selfie-engagement. Hierarchical regression analyses were performed on independent male and female subsamples. Results showed that body surveillance and positive selfie-expectancies are consistent selfie-behavior predictors, among both men (R2 = 0.227; p < .001) and women (R2 = 0.332; p < .001). Furthermore, findings confirm women's involvement in appearance concerns and body-image related practices, even though men's engagement in body-objectification deserve attention. The study provides novel findings in the field of self-objectification research as well as contributing to the ongoing debate concerning which psychological factors can be predictive of males' and females' selfie-engagement. The implications of these findings are also discussed in light of the debate on social media use and misuse.

Clarifying terminologies in research on gaming disorder and other addictive behaviors: distinctions between core symptoms and underlying psychological processes

There exists ongoing debate regarding the clinical validity of single symptoms of and diagnostic criteria for gaming disorder. In particular, the potential symptom of gaming disorder that addresses coping with and escaping from negative feelings has received much attention and remains a focus of intensive discussion. We argue that it is important to consider differences or distinguish between, on the one hand, symptoms of and criteria for a disorder due to addictive behaviors, such as gaming disorder, versus, on the other hand, motivations, mechanisms, and psychological processes that may be involved in promoting addictive behaviors and that may explain symptom severity and course of the addictive disorder including potential treatment responses.

Unique versus shared associations between self-reported behavioral addictions and substance use disorders and mental health problems: A commonality analysis in a large sample of young Swiss men

BACKGROUND AND AIMS

Behavioral addictions (BAs) and substance use disorders (SUDs) tend to co-occur; both are associated with mental health problems (MHPs). This study aimed to estimate the proportion of variance in the severity of MHPs explained by BAs and SUDs, individually and shared between addictions.

METHODS

A sample of 5,516 young Swiss men (mean = 25.47 years old; SD = 1.26) completed a self-reporting questionnaire assessing alcohol, cannabis, and tobacco use disorders, illicit drug use other than cannabis, six BAs (Internet, gaming, smartphone, Internet sex, gambling, and work) and four MHPs (major depression, attention-deficit hyperactivity disorder, social anxiety disorder, and borderline personality disorder). Commonality analysis was used to decompose the variance in the severity of MHPs explained (R²) by BAs and SUDs into independent commonality coefficients. These were calculated for unique BA and SUD contributions and for all types of shared contributions.

RESULTS

BAs and SUDs explained between a fifth and a quarter of the variance in severity of MHPs, but individual addictions explained only about half of this explained variance uniquely; the other half was shared between addictions. A greater proportion of variance was explained uniquely or shared within BAs compared to SUDs, especially for social anxiety disorder.

CONCLUSIONS

The interactions of a broad range of addictions should be considered when investigating their associations with MHPs. BAs explain a larger part of the variance in MHPs than do SUDs and therefore play an important role in their interaction with MHPs.

DSM-5 Internet gaming disorder among a sample of Mexican first-year college students

BACKGROUND AND AIMS

DSM-5 includes Internet gaming disorder (IGD) as a condition for further study. While online and offline gaming may produce undesired negative effects on players, we know little about the nosology of IGD and its prevalence, especially in countries with emerging economies.

METHODS

A self-administered survey has been employed to estimate prevalence of DSM-5 IGD and study the structure and performance of an instrument in Spanish to measure DSM-5 IGD among 7,022 first-year students in 5 Mexican universities that participated in the University Project for Healthy Students (PUERTAS), part of the World Health Organization's World Mental Health International College Student Initiative.

RESULTS

The scale for IGD showed unidimensionality with factor loadings between 0.694 and 0.838 and a Cronbach's α = .816. Items derived from gaming and from substance disorders symptoms mixed together. We found a 12-month prevalence of IGD of 5.2% in the total sample; prevalence was different for males (10.2%) and females (1.2%), but similar for ages 18-19 years (5.0%) and age 20+ (5.8%) years. Among gamers, the prevalence was 8.6%. Students with IGD were more likely to report lifetime psychological or medical treatment [OR = 1.8 (1.4-2.4)] and any severe role impairment [OR = 2.4 (1.7-3.3)]. Adding any severe role impairment to the diagnostic criteria decreased the 12-month prevalence of IGD to 0.7%.

DISCUSSION AND CONCLUSIONS

Prevalence of DSM-5 IGD and the performance of diagnostic criteria in this Mexican sample were within the bounds of what is reported elsewhere. Importantly, about one in every seven students with IGD showed levels of impairment that would qualify them for treatment under DSM-5.