Pixels and perception: Mapping the association between digital media and psychotic-like experiences in adolescents.

INTRODUCTION: Psychotic-like experiences (PLEs) during adolescence can lead to psychotic disorders. Digital media usage has been suggested to link to PLEs, but research is limited on how different types of screen exposure may differentially relate to PLEs over time. This study aimed to examine longitudinal associations between screen usage patterns and PLEs in adolescents. METHODS: Participants comprised 11,876 adolescents assessed annually from ages 9-12 years as part of the Adolescent Brain Cognitive Development study (ABCD). Screen usage (TV, video games, online video, social media, texting, video chat) and PLEs were assessed via self-report. Longitudinal network analysis models were estimated to examine connections between screen usage types and PLEs across three time points. RESULTS: Two clusters were formed, including digital media for socializing (e.g., social media/texting/video chat) and digital media for entertainment (e.g., online video/video games/TV). Texting and online video(s) had the highest centrality at each time point, suggesting importance in the network. PLE symptoms of hallucinations and concentration difficulties exhibited higher centrality than other symptoms. Online video and TV were influential bridges between screen usage and PLEs. Network structure significantly differed between ages 9-10 and 10-12 years, but global strength was unchanged over time. DISCUSSION: Results highlight the importance of understanding the associations between specific screen usage types and PLE symptoms. Texting and online video usage appear most influential in the development of adolescent PLEs over time. Findings can inform targeted interventions to promote healthy screen habits and reduce PLEs in at-risk youth.

Exploratory structural equation modeling: a streamlined step by step approach using the R Project software.

Confirmatory Factor Analysis (CFA) has been a popular yet limited approach to assessing latent factor structures. Despite items rarely loading exclusively on one latent factor in multifactorial scales, CFA assumes all indicators/items should load uniquely on their allocated latent dimensions. To address this weakness, Exploratory Structural Equation Modeling (ESEM) combines exploratory factor analyses (EFA) and CFA procedures, allowing cross-loadings to occur when assessing hypothesized models. Although such advantages have enhanced ESEM popularity, its adoption is often limited by software rigidity and complex coding difficulties. To address these obstacles, the current tutorial presents a streamlined, step-by-step approach using the open-source software R while providing both R and Mplus ESEM syntax. The tutorial demonstrates the sequence of the ESEM stages by examining the frequently debated Strengths and Difficulties Questionnaire (SDQ) factor structure, using openly accessible data from the Longitudinal Study of Australian Children (LSAC). As ESEM may allow a better understanding of the complex associations in multidimensional scales, this tutorial may optimize the epidemiological and clinical assessment of common yet multifaceted psychiatric presentations.

Conceptualising social media addiction: a longitudinal network analysis of social media addiction symptoms and their relationships with psychological distress in a community sample of adults.

BACKGROUND: Problematic social media use has been identified as negatively impacting psychological and everyday functioning and has been identified as a possible behavioural addiction (social media addiction; SMA). Whether SMA can be classified as a distinct behavioural addiction has been debated within the literature, with some regarding SMA as a premature pathologisation of ordinary social media use behaviour and suggesting there is little evidence for its use as a category of clinical concern. This study aimed to understand the relationship between proposed symptoms of SMA and psychological distress and examine these over time in a longitudinal network analysis, in order better understand whether SMA warrants classification as a unique pathology unique from general distress. METHOD: N = 462 adults (Mage = 30.8, SDage = 9.23, 69.3% males, 29% females, 1.9% other sex or gender) completed measures of social media addiction (Bergen Social Media Addiction Scale), and psychological distress (DASS-21) at two time points, twelve months apart. Data were analysed using network analysis (NA) to explore SMA symptoms and psychological distress. Specifically, NA allows to assess the 'influence' and pathways of influence of each symptom in the network both cross-sectionally at each time point, as well as over time. RESULTS: SMA symptoms were found to be stable cross-sectionally over time, and were associated with, yet distinct, from, depression, anxiety and stress. The most central symptoms within the network were tolerance and mood-modification in terms of expected influence and closeness respectively. Depression symptoms appeared to have less of a formative effect on SMA symptoms than anxiety and stress. CONCLUSIONS: Our findings support the conceptualisation of SMA as a distinct construct occurring based on an underpinning network cluster of behaviours and a distinct association between SMA symptoms and distress. Further replications of these findings, however, are needed to strengthen the evidence for SMA as a unique behavioural addiction.

Suicidal behaviors in the entertainment industry: a preliminary exploration of the interplay between work scheduling, social support, and wellbeing in Australia.

OBJECTIVE: Workers of the Australian entertainment industry exhibit disproportionately high rates of impaired psychological wellbeing and suicidal behaviors, with such rates being exacerbated by the negative impact of working long and odd hours (Work Scheduling Impact; WSI). Nonetheless, stable and secure social support networks may buffer the risks associated with such systemic difficulties. METHODS: The responses of 1302 Australian entertainment industry workers (50.3% females, Mage 38.39 years) on the Multidimensional Scale of Perceived Social Support, the Short Form Health Survey, WSI, and suicidal behaviors questions were examined via moderation analyses. RESULTS: Higher social support and lower WSI appeared to reduce the suicidal ideation of those experiencing poorer mental health, while lower WSI further enhanced social support's positive effect. CONCLUSIONS: Findings highlight the likely detrimental effect of WSI regarding the suicidal ideation reported by vulnerable Australian entertainment industry workers and stress the importance of the social support they experience. PUBLIC HEALTH IMPLICATIONS: Interventions attempting to increase social support could improve inherent conditions associated with the Australian entertainment industry. Similarly, the negative effect of working long and odd hours on workers' mental health and suicidal behaviors indicates the need to regulate the industry appropriately.

Exploring the digital footprint of depression: a PRISMA systematic literature review of the empirical evidence.

BACKGROUND: This PRISMA systematic literature review examined the use of digital data collection methods (including ecological momentary assessment [EMA], experience sampling method [ESM], digital biomarkers, passive sensing, mobile sensing, ambulatory assessment, and time-series analysis), emphasizing on digital phenotyping (DP) to study depression. DP is defined as the use of digital data to profile health information objectively. AIMS: Four distinct yet interrelated goals underpin this study: (a) to identify empirical research examining the use of DP to study depression; (b) to describe the different methods and technology employed; (c) to integrate the evidence regarding the efficacy of digital data in the examination, diagnosis, and monitoring of depression and (d) to clarify DP definitions and digital mental health records terminology. RESULTS: Overall, 118 studies were assessed as eligible. Considering the terms employed, "EMA", "ESM", and "DP" were the most predominant. A variety of DP data sources were reported, including voice, language, keyboard typing kinematics, mobile phone calls and texts, geocoded activity, actigraphy sensor-related recordings (i.e., steps, sleep, circadian rhythm), and self-reported apps' information. Reviewed studies employed subjectively and objectively recorded digital data in combination with interviews and psychometric scales. CONCLUSIONS: Findings suggest links between a person's digital records and depression. Future research recommendations include (a) deriving consensus regarding the DP definition and (b) expanding the literature to consider a person's broader contextual and developmental circumstances in relation to their digital data/records.

Network analyses of Oppositional Defiant Disorder (ODD) symptoms in children.

Based on parent and teacher ratings of their children, this study used regularized partial correlation network analysis (EBIC glasso) to examine the structure of DSM-5 Oppositional Defiant Disorder (ODD) symptoms. Parent and teachers (N = 934) from the general community in Malaysia completed questionnaires covering DSM-5 ODD symptoms. The most central ODD symptom for parent ratings was anger, followed by argue. For teacher ratings, it was anger, followed by defy. For both parent and teacher ratings, the networks revealed at least medium effect size connections for temper and argue, defy, and argue, blames others, and annoy, and spiteful and angry. Overall, the findings were highly comparable across parent and teacher ratings, and they showed a novel understanding of the structure of the ODD symptoms. The clinical implications of the findings for assessment and treatment of ODD are discussed.

Network analyses of internet gaming disorder symptoms and their links with different types of motivation.

The study used regularized partial correlation network analysis (EBICglasso) to examine the structure of DSM-5 internet gaming disorder (IGD) symptoms (network 1); and the associations of the IGD symptoms in the network with different types of motivation as defined in the self-determination theory i.e., intrinsic motivation (engaging in an activity for something unrelated to the activity), identified regulation (engaging in the activity because it aligns with one's values and/or goals), external regulation (engagement in activity being driven by external rewards and/or approval), and amotivation (engaging in an activity without often understanding why) (network 2). Participants were 968 adults from the general community. They completed self-rating questionnaires covering IGD symptoms and different types of motivation. The findings for network 1 showed mostly positive connections between the symptoms within the IGD network. The most central symptom was loss of control, followed by continuation, withdrawal symptoms, and tolerance. In general, these symptoms were more strongly connected with each other than with the rest of the IGD symptoms. The findings for network 2 showed that the different types of motivation were connected differently with the different IGD symptoms. For instance, the likeliest motivation for the preoccupation and escape symptoms is intrinsic motivation, and for negative consequences, it is low identified regulation. Overall, the findings showed a novel understanding of the structure of the IGD symptoms, and the motivations underlying them. The clinical implications of the findings for assessment and treatment of IGD are discussed.

Adolescent Popularity: Distinct Profiles and Associations with Excessive Internet Usage and Interpersonal Sensitivity.

Peer popularity constitutes a pivotal developmental task to adolescents' current and future adaptation. This study identified distinct adolescent popularity profiles and explored their links with excessive Internet usage and interpersonal sensitivity. The sample included 2090 students attending Greek high schools (Mage = 16.16, SD = 0.91). Their popularity was measured via self-report and peer sociometric means. They also responded to the Internet Addiction Test (IAT) and the Interpersonal Sensitivity subscale of the Symptom Checklist-90-Revised (SCL-90-R). A sequence of latent profile analysis, ANOVAs and linear regression models were performed. Three distinct popularity profiles were revealed: the "Average Confident" (68.4%), the "Socially Vulnerable" (26.8%), and the "Insecure Bi-Strategic" (4.8%). These profiles did not significantly vary regarding their Internet usage and interpersonal sensitivity behaviours. Interestingly, lower self-perceived popularity predicted higher interpersonal sensitivity, whereas higher actual popularity predicted excessive Internet use. Findings have important implications for student-tailored mental health prevention and intervention practices.

In search of the optimum structural model for Internet Gaming Disorder.

BACKGROUND: Internet gaming Disorder (IGD) constitutes a recently proposed clinical disorder (American Psychiatric Association, Diagnostic and statistical manual of mental disorders, 2013). The present study examined if IGD is best conceptualized as categorical (present/absent), or dimensional (severity ranging from low to high), or both (i.e., hybrid of categorical/dimensional). METHODS: Ratings of the nine DSM-5 IGD symptoms, as presented in the Internet Gaming Disorder Scale 9-Short Form (Pontes & Griffiths, Comput Hum Behav 45:137-143, 2015), from 738 gamers, aged 17 to 72 years, were collected. Confirmatory factor analysis (CFA), latent class analysis (LCA), and factor mixture modelling analysis (FMMA) procedures were applied to determine the optimum IGD model. RESULTS: Although the findings showed most support for a FFMA model with two classes and one factor, there was also good statistical and substantive support for the one-factor CFA model, and the LCA model with three classes. CONCLUSION: It was concluded that while the optimum structure of IGD is most likely to be a hybrid model (i.e., concurrently categorical and dimensional), a uni-dimensional model and/or a three-class categorical model are also plausible.

Internet gaming disorder behaviours: a preliminary exploration of individualism and collectivism profiles.

BACKGROUND: Internet Gaming Disorder (IGD) behaviours involve excessive use of Internet games to the extent that one's everyday life is compromised. It has been suggested that IGD symptoms are dependent on whether one is more individualistic or collectivistic. However, the range of potential individualism-collectivismeffects on IGD presentations remains largely unknown. The current study aims to further understanding of the role of individualistic and collectivistic tendencies in IGD, allowing us to develop more gamer centredIGD prevention and intervention strategies. METHODS: One thousand and thirty-twocommunity participants withinternet gaming experience were measured online for IGD symptom's severity using the Internet Gaming Disorder Scale - Short Form (IGDS9-SF) andindividualism-collectivism behavioursvia the Individualism & Collectivism Scale (ICS). Latent Class Analysis (LCA) and T-Tests were performed in relation to their responses. RESULTS: Upon inspection of the LCA output, two profiles of internet gamers were identified. These includedthe Collectivism Aversivegamers (CA; 11%) and the Collectivism Neutral gamers (CN; 89%). The CA gamers displayed significantly higher IGD behaviours overall, and, were higher inpreoccupation, withdrawal symptoms, tolerance, relapse, deception, escapism/mood modification, and functional impairment compared to CN gamers. There were no differences between CA and CN gamers in loss of interest and conflicts with others. CONCLUSIONS: The findings suggest that one's individualism-collectivism orientation can influence the presentation of IGD. Specifically, those who are less collectivistic or are less influenced by social groups willdisplay greater IGD symptoms and present a profile that requires a different intervention from gamers who are more collectivistic. Researchers and clinicians should emphasize the value of belonging in a collective and experiencing equality with others in relation to mental health and gaming patterns.

Reinforcement Sensitivity Theory of Personality Questionnaire: Factor Structure Based on CFA and ESEM, and Associations with ADHD.

Revised reinforcement sensitivity theory (r-RST) of personality is a major neuropsychological theory of motivation, emotion and personality. This paper presents the results of a study examining: (1) the factor structure of the Reinforcement Sensitivity Theory of Personality Questionnaire (RST-PQ) using confirmatory factor analysis (CFA) and exploratory structural equation modeling (ESEM); and (2) the relationships of the r-RST constructs in the RST-PQ with attention deficit hyperactivity disorder (ADHD) symptom groups of inattention (IA) and hyperactivity/impulsivity (HI). A total of 572 (Sample 1) and 309 (Sample 2) adults completed the RST-PQ. Participants in Sample 2 also completed a questionnaire measuring ADHD symptoms. Results revealed more support for the ESEM model with six factors than the CFA model. For both the ESEM and CFA models, both IA and HI symptom groups were associated positively with the RST-PQ constructs of behavioral inhibition system (BIS) and behavioral approach system (BAS) Impulsivity, with IA also associated negatively with the BAS-Goal-Drive Persistence. The theoretical implications of these findings for understanding the factor structure of the RST-PQ, and for ADHD (IA and HI) in terms of r-RST, are discussed.

Greek Validation of the Factor Structure and Longitudinal Measurement Invariance of the Strengths and Difficulties Questionnaire-Self Report (SDQ-SR): Exploratory Structural Equation Modelling.

The study examined the factor structure and longitudinal measurement invariance over three time points (1-year apart) of the Strengths and Difficulties Questionnaire-Self Report (SDQ-SR) for ratings provided by adolescents in Greece. It used exploratory structural equation modelling (ESEM) to achieve these two goals. At time point one, a total of 968 adolescents (males = 508, and females = 460) between 12 and 17.9 years completed the SDQ-SR. In relation to factor structure, ESEM tested the fit of one- to five-factor models. The findings were interpreted as indicating most support for the ESEM model with three factors (the factors being dysregulation, peer problems, and prosocial behaviour). This model showed support for configural invariance and full metric invariance across the three time points. Except for two thresholds, all other thresholds were also invariant across the three time points. Thus, there was good support for longitudinal measurement invariance. The implications of the findings for use of the SDQ-SR are discussed.

Proteus Effect Profiles: how Do they Relate with Disordered Gaming Behaviours?

Gamers represent themselves in online gaming worlds through their avatars. The term "Proteus Effect" (PE) defines the potential influences of the gamers' avatars on their demeanour, perception and conduct and has been linked with excessive gaming. There is a significant lack of knowledge regarding likely distinct PE profiles and whether these could be differentially implicated with disordered gaming. A normative group of 1022 World of Warcraft (WoW) gamers were assessed in the present study (Mean age = 28.60 years). The Proteus Effect Scale (PES) was used to evaluate the possible avatar effect on gamers' conduct, and the Internet Gaming Disorder Scale-Short-Form was used to examine gaming disorder behaviors. Latent class profiling resulted in three distinct PE classes, 'non-influenced-gamers' (NIGs), 'perception-cognition-influenced-gamers' (PCIGs), and 'emotion-behaviour-influenced-gamers' (EBIGs). The NIGs reported low rates across all PES items. The PCIGs indicated higher avatar influence in their perception-experience but did not report being affected emotionally. The EBIGs indicated significantly higher avatar influence in their emotion and behaviour than the other two classes but reported stability in their perception of aspects independent of their avatar. Gaming disorder behaviours were reduced for the NIGs and progressively increased for the PCIGs and the EBIGs.

Inattention and Disordered Gaming: Does Culture Matter?

Problematic gaming has emerged as a contemporary concern, leading to the introduction of the diagnostic term 'Internet Gaming Disorder' (IGD; American Psychiatric Association). The present study aims to empirically assess the association between inattention and IGD, in the light of variable levels of vertical-individualism that reflects cultural inclinations towards independence, competitiveness, and hierarchy. The participants (N = 1032) comprised a normative cohort of Massively Multiplayer Online (MMO) gamers (Mage = 24 years; 48.7% male). IGD was measured with the nine-item short-form IGD Scale (IGD9-SF), inattention with the Attention Deficit Hyperactivity Disorder (ADHD) Self-Report Scale, and vertical individualism with the Individualism-Collectivism Questionnaire. Complex hierarchical and moderated regressions were employed. Findings demonstrated an association between IGD and inattention, and additionally showed that this association was exacerbated by a more vertically-individualistic cultural orientation without significant gender differences. The need of differentially addressing IGD risk among inattentive gamers of diverse cultural orientation is highlighted.

Moderating Effect of Motor Proficiency on the Relationship Between ADHD Symptoms and Sleep Problems in Children With Attention Deficit Hyperactivity Disorder-Combined Type.

OBJECTIVES/BACKGROUND: A high proportion of children with Attention Deficit Hyperactivity Disorder- Combined type (ADHD-CT) experience sleep and motor problems. This study investigated (a) whether motor proficiency moderated the relationship between ADHD symptoms and sleep problems in children with and without ADHD-CT and (b) whether this moderation differed as a function of ADHD diagnosis. PARTICIPANTS: A sample of 70 primary school male children between 8-15 years were recruited; children with ADHD-CT (n = 38; mean age 10 years, 2 months [SD = 1 year, 6 months]) and a typically developing (TD) (n = 32; mean age 9 years, 6 months [SD = 1 year, 5 months]) group. METHODS: Motor proficiency was measured using the Movement Assessment Battery for Children-2nd Edition (MABC-2), ADHD symptoms were measured using the Conners' Parent Rating Scale (CPRS) and parent reported sleep problems were measured using the Children's Sleep Habits Questionnaire (CSHQ). RESULTS: Children who reported higher ADHD symptoms and lower motor proficiency scores reported more sleep problems. The moderation effect only held in children with a diagnosis of ADHD-CT and not in the typically developing group. CONCLUSIONS: These findings indicate that children who experience greater severity of ADHD symptoms who also have lower motor proficiency may be at increased risk of experiencing sleep problems. These findings also illustrate the importance of considering motor proficiency when exploring risk factors for sleep problems in children with ADHD-CT as well as sleep interventions.

Oppositional Defiant Disorder Dimensions: Associations with Traits of the Multidimensional Personality Model among Adults.

The occurrence of Oppositional Defiant Disorder (ODD) behaviours among adults has been supported by a proportion of scholars. The current work examines potential ODD dimensions and their associations with the primary personality traits of Tellegen's [57] multi-dimensional conceptualization during adulthood. Two independent, general community, adult groups [Group 1: N = 214; mean age (SD) = 35.74 (16.60); Group 2: N = 205; mean age (SD) = 29.00 (12.42)] completed the Current Symptom Scale involving the eight ODD criteria. Group 2 additionally addressed the Multidimensional Personality Questionnaire -Brief Form (MPQ-BF). A series of Confirmatory Factor Analyses (CFA) were implemented. The three-dimensional ODD conceptualization of Burke and colleagues [14] referring to "Negative Affect", "Oppositional Behavior", and "Antagonistic Behavior" was confirmed. Considering personality traits, valuable associations were revealed between Oppositional Behavior and Aggression, Antagonistic Behavior and Social Potency as well as Harm Avoidance, and finally, Negative Affect and Stress Reaction, as well as Aggression. The dimensionality of ODD behaviours in adulthood and its correspondence with particular personality traits is approached in the context of psychological practice.

Factor Structure of Teacher Ratings of the ODD Symptoms in Children.

This study used confirmatory factor analysis (CFA) to determine the best model for Oppositional Defiant Disorder (ODD) symptoms in children aged 3 to 15 years, as presented in the Disruptive Behavior Rating Scale. Teachers' ratings of the ODD symptoms of 213 children from general community schools in Australia were obtained. The findings provided most support for a bifactor model based on Stringaris and Goodman's [1] three-factor model (primary factors for irritable, hurtful, and headstrong). The general factor, but not the group factors in the model, showed high omega hierarchical and explained common variance. Thus, only the general factor in this model can be meaningfully interpreted. Also, the general factor was supported with regard to external validity. Specifically, this factor, but not the group factors, correlated strongly with ADHD inattention and hyperactivity/impulsivity symptom groups, and other measures of behavioural and emotional problems. The taxonomic, diagnostic, practical, and research implications of the findings are discussed.

Examining how gamers connect with their avatars to assess their anxiety: A novel artificial intelligence approach.

Research has supported that a gamer's attachment to their avatar can offer significant insights about their mental health, including anxiety. To assess this hypothesis, longitudinal data from 565 adult and adolescent participants (Mage = 29.3 years, SD = 10.6) was analyzed at two points, six months apart. Respondents were assessed using the User-Avatar Bond (UAB) scale and the Depression Anxiety Stress Scale (DASS) to measure their connection with their avatar and their risk for anxiety. The records were processed using both untuned and tuned artificial intelligence [AI] classifiers to evaluate present and future anxiety. The findings indicated that AI models are capable of accurately and autonomously discerning cases of anxiety risk based on the gamers' self-reported UAB, age, and duration of gaming, both at present and after six months. Notably, random forest algorithms surpassed other AI models in effectiveness, with avatar compensation emerging as the most significant factor in model training for prospective anxiety. The implications for assessment, prevention, and clinical practice are discussed.

Gaming Disorder: The role of a gamers flow profile.

Digital games are widely popular and integral to contemporary entertainment. Nevertheless, a proportion of users present with disordered/excessive gaming behaviours, provisionally classified as Internet Gaming Disorder (IGD). Previous literature suggests examining the contribution of an individual's profile of immersive engagement with their gaming activity, known as online flow, for disordered gaming behaviours. Therefore, the main goals of this study were (1) to categorise gamers into distinct profiles based on their online flow experiences and (2) to investigate the differences in disordered gaming among these different flow profiles. A sample of 565 gamers (12-68 years, Mage = 29.3 years) was assessed twice over six months with the Online Flow Questionnaire (OFQ), the Internet Gaming Disorder Scale-Short-Form (IGDS9-SF), and the Gaming Disorder Test (GDT). Latent profile analysis (LPA) identified five distinct profiles encompassing 'High-Flow with High Loss of Control' (HF-HLOC; 14.0 %), 'Low Flow with Low Enjoyment' (LF-LE; 11.9 %), 'Average Flow with Low Enjoyment' (AF-LE; 17.5 %), 'Low Flow with High Enjoyment' (LF-HE; 20.2 %), and 'High Loss of Sense of Time with Low Loss of Control' groups (HLOT-LLOC; 36.5 %). As hypothesised, individuals across varying profiles evidenced differences in their concurrent and longitudinal disordered gaming behaviours. Overall, findings suggest that 'loss of sense of time' may be the most pivotal factor in differentiating flow states and profiles during gaming, advocating its consideration in disordered gaming assessment and treatment.