In response to our study, the commentary by Infanti et al. (2024) raised critical points regarding (i) the conceptualization and utility of the user-avatar bond in addressing gaming disorder (GD) risk, and (ii) the optimization of supervised machine learning techniques applied to assess GD risk. To advance the scientific dialogue and progress in these areas, the present paper aims to: (i) enhance the clarity and understanding of the concepts of the avatar, the user-avatar bond, and the digital phenotype concerning gaming disorder (GD) within the broader field of behavioral addictions, and (ii) comparatively assess how the user-avatar bond (UAB) may predict GD risk, by both removing data augmentation before the data split and by implementing alternative data imbalance treatment approaches in programming.

Investigating the impacts of addiction policymaking following implementation is important. Effective policies should be considered for emulation elsewhere, whilst ineffective policies should be repealed. Zhou et al. (2024) reported how Mainland Chinese under-18s responded to the 2021 restrictions on their online videogame playtime, which were intended to curb online gaming addiction. However, Zhou et al. failed to mention that Mainland China had previously tried to achieve the same regulatory aim by imposing rules in 2019 that were more lenient than the 2021 rules but nonetheless restricted under-18s' gameplay time. These 2019 restrictions were neither acknowledged as crucial background in the introduction section nor accounted for by Zhou et al. when interpreting their results, thus giving readers the incorrect impression that the 2021 rules were the first ones introduced and that under-18s' gameplay time was not restricted at all prior to 2021. Importantly, Zhou et al.'s entire sample of young people therefore consisted not merely of 'heavy gamers' as they euphemistically described them as, but 'counterplayers' who actively contravened the 2019 rules. The misleading omission of this context is a major limitation and misrepresentation. The results should be interpreted accordingly and not overgeneralised.

Attention deficit hyperactivity disorder (ADHD) and behavioral addictions (BAs) are highly comorbid but little is known about the effect of anti-ADHD medications on behavioral addiction symptoms. Thus, the aim of this naturalistic prospective study was to investigate the long-term changes on BAs symptoms among methylphenidate-treated adults with a primary diagnosis of ADHD.

In their study, Stavropoulos et al. (2023) capitalized on supervised machine learning and a longitudinal design and reported that the User-Avatar Bond could be accurately employed to detect Gaming Disorder (GD) risk in a community sample of gamers. The authors suggested that the User-Avatar Bond is a "digital phenotype" that could be used as a diagnostic indicator for GD risk. In this commentary, our objectives are twofold: (1) to underscore the conceptual challenges of employing User-Avatar Bond for conceptualizing and diagnosing GD risk, and (2) to expound upon what we perceive as a misguided application of supervised machine learning techniques by the authors from a methodological standpoint.

Unemployment rates are elevated among individuals with disordered gambling, yet the directionality of the relationship remains unclear. The present study investigated paid and unpaid unemployment as risk factors for future gambling disorder (GD).

Gaming disorder (GD) is a prevalent and complex issue that has recently been recognized as a condition that impairs mental health, underscoring the urgent need for early prevention measures. This evaluation study examined the effectiveness of the Digital Netizen Alliance (D.N.A.) program, a new multicomponent positive psychology program for preventing GD and bolstering mental wellness among Chinese children.

Craving is a central feature of substance use disorders and disorders due to addictive behaviors. Considerable research has investigated neural mechanisms involved in the development and processing of craving. Recently, connectome-based predictive modeling, a data-driven method, has been used in four studies aiming to predict craving related to substance use, addictive behaviors, and food. Studies differed in methods, samples, and conceptualizations of craving. Within the commentary we aim to compare, contrast and consolidate findings across studies by considering conceptual and methodological features of the studies. We derive a theoretical model on the functional connectivity-craving relationships across studies.

The South Oaks Gambling Screen (SOGS) is a commonly used tool for screening potential gambling problems. The SOGS score has been found to be correlated with the DSM-5 criteria for Gambling Disorder (GD). However, one of its main limitations is the high rate of false positives. The objective of this study was to establish more accurate cutoff points for the SOGS based on the DSM-5 criteria and severity levels, taking into account sex-specific samples. Additionally, we aimed to validate these cutoff points using external measures.

Compulsive buying-shopping is recognised as a significant mental health concern, yet its aetiology is largely understudied. A known risk factor for compulsive buying-shopping is adverse childhood experiences (ACEs). ACEs are also associated with greater problems regulating emotions, as well as depression and anxiety. These factors are also known to be associated with compulsive buying-shopping problems. In this study, we aimed to test a serial mediation model in which ACEs were associated with compulsive buying-shopping problems via emotion dysregulation, and then emotional psychopathology (depression, anxiety).

Electronic gaming machines (EGMs) are a significant source of gambling spend due to their widespread use. Skill-based gambling machines (SGMs) represent an innovative adaptation, merging EGMs' chance-based rewards with video game-like skills. This study aimed to explore the appeal and behavioural consequences of playing SGMs in comparison to traditional reel-based EGMs, particularly focusing on illusions of control, betting behaviour, and the subjective experience of gamblers.

Mobile phone bans in secondary schools are claimed to reduce student distraction and promote learning and face-to-face socializing. Currently, the evidence on phone bans is limited. The aim of this preregistered study was to evaluate the South Australian mobile phone ban's effects on students' problematic phone use, academic engagement, school belonging, and bullying. The study also sought to identify student variables that predict phone ban compliance.

Conflicting findings have been reported for the longitudinal course of behavioral addictions, especially for social media addiction (SMA) and work addiction (WA). Therefore, evaluating whether these constructs are more trait-like or state-like might be informative. The aim of the present study was to examine the proportion of variance of SMA and WA symptoms (as defined by the components model of addiction) explained by trait and occasion-specific factors in addition to exploring cross-lagged relationships between SMA and WA.

Problem gambling (PG) represents a significant public health concern with widespread effects in various cultures and regions globally, with younger individuals and males at a particularly higher risk. This disparity is attributed to a mix of cultural, developmental, and biological influences. To date, there has not been a comprehensive examination to determine whether this risk pattern holds consistently across different jurisdictions.

The aim of the present study was to estimate the complex association between Internet Gaming Disorder (IGD), substance use, and other risky behaviours in Czech adolescents whilst providing prevalence estimates of IGD and psychometric information regarding the Czech Internet Gaming Disorder Scale-Short-Form (IGDS9-SF).

While there are calls to restrict the time spent on gaming because it is seen as problematic and potentially leading to gaming disorder (GD), there is conflicting evidence about this issue. We explored the association between the average weekly time spent gaming and reported GD symptoms. Additionally, Latent Profile Analysis was employed to investigate how time spent gaming relates to variables representing psychological distress (PD), such as satisfaction with life, symptoms of depression, and perceived stress.

Despite the inclusion of the Compulsive Sexual Behavior Disorder (CSBD) in the 11th edition of the International Classification of Diseases, emotional and cognitive impairments related to CSBD remains unclear. This study aimed to investigate the behavioral and neuronal effects of emotional interference on cognition among CSBD patients.

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.

Previous evidence has indicated that problematic social media use (PSMU) is characterized by an attentional bias to social media icons (such as Facebook icons), but not to social webpages (such as Facebook webpages). They suggest that there may be other factors influencing attentional bias like fear of missing out (FoMO). But it remains unclear how FoMO moderates attentional bias in PSMU. This study aims to investigate whether PSMU show attentional bias for stimuli associated with social media, and how FoMO moderates on attentional bias among PSMU through experimental methods.

Cognitive control and reward-related abnormalities are centrally implicated in addiction. However, findings from longitudinal studies addressing neurocognitive predictors of addictive behaviors are mixed. Further, little work has been conducted predicting non-substance-related addictive behaviors. Our study aimed to assess predictors of substance and non-substance addictive behaviors in a community sample, systematically evaluating each neurocognitive function's independent influence on addictive behavior.

Neurobiological models of addiction posit that addiction manifests through an amplified salience towards addiction-associated stimuli and a diminished responsiveness to non-addiction-related incentives. However, existing research on reward processing in individuals with problematic pornography use (PPU) has primarily been limited to sexual cue reactivity.

Although family history of psychiatric disorders has often been considered potentially useful in understanding clinical presentations in patients, it is less clear what a positive gambling family history means for people with gambling disorder. We sought to understand the clinical impact of having a first-degree relative with gambling disorder in a sample of adults with gambling disorder.

The introduction of Compulsive Sexual Behavior Disorder (CSBD) into the 11th International Classification of Diseases has raised expectations for better treatment options for CSBD. Furthermore, the treatment demand has increased, particularly for pornography use disorder (PUD), a subtype of CSBD. Presumably due to the easy access to Internet pornography an increasing prevalence of PUD is observed. Consequently, providing tailored and effective treatment is essential.

Gambling activity evolves along a continuum from recreational to Gambling Disorder (GD) and a particular challenge is to identify whether there are some neurophysiological particularities already present in gamblers at an early stage. Our main goal was to determine whether, in the gamblers' population, neural responses generated during uncertain decisions were different depending on problematic gambling risk defined by the Canadian Problem Gambling Index (CPGI). We tested the following hypothesis, that the Problem Gambling group would show a different brain activity related to outcomes processing than people with low risk.

Research on individual differences in brain structural features of internet gaming disorder (IGD) and established addictions such as tobacco use disorder (TUD) is currently limited. This study utilized normative modeling to analyze the cortical thickness (CT) development patterns of male patients with IGD and TUD, aiming to provide further insights into whether IGD qualifies as an addiction.

Many jurisdictions are experiencing opioid epidemics. Opioid use disorder (OUD) often co-occurs with other psychiatric disorders including behavioral addictions like gambling disorder. However, little is known regarding the frequency and correlates of problematic pornography use (PPU) among people seeking treatment for OUD. Here we aimed to investigate PPU and its correlates in people seeking OUD treatment.

The association between perceived stress (PS) and gaming addiction (GA) is well documented. However, the mechanism for explaining this association remains unclear. Using a genetically informative design, this study aims to distinguish between the diathesis-stress and bio-ecological models of gene by environment interaction (G x E) to explain the underlying mechanism of the relationship.

Many individuals with substance use disorders (SUDs) present with co-occurring mental health disorders and other addictions, including behavioral addictions (BAs). Though several studies have investigated the relationship between SUDs and BAs, less research has focused specifically on compulsive sexual behaviour (CSB). Given that poly-addiction can hinder treatment outcomes, it is necessary to better understand the impact of co-occurring CSB and SUD. Therefore, the current study aimed to 1) determine the rate of CSB in a sample seeking treatment for SUDs, 2) identify demographic and clinical correlates of co-occurring CSB, and 3) to determine if co-occurring CSB impacts treatment outcomes for SUD.

The present study aimed to evaluate the efficacy of a mindfulness-based cognitive therapy (MBCT) intervention in reducing problematic mobile phone use, depression, and sleep disorders among adolescents. Additionally, it sought to investigate whether the decrease in problematic mobile phone use acted as a mediator in the relationship between the MBCT intervention and adolescent depression and sleep disorders.

Changes in brain structural connections appear to be important in the pathophysiology of substance use disorders, but their role in behavioral addictions, such as gambling disorder (GD), is unclear. GD also offers a model to study addiction mechanisms without pharmacological confounding factors. Here, we used multimodal MRI data to examine the integrity of white matter connections in individuals with GD. We hypothesized that the affected areas would be in the fronto-striatal-thalamic circuit.