Correlation of negative emotion, fatigue level and internet addiction in college students: implication for coping strategies.

BACKGROUND: Internet addiction has an important influence on the development of physical and mental health of college students. The purpose of this study is to evaluate the current status and the correlation between college students' negative emotion, fatigue level and Internet addiction disorder, and to provide reference for the care and management of college students. METHODS: We conducted a questionnaire survey on a cluster sample of college students from October to November 15, 2022. Internet addiction scale, fatigue assessment scale and positive and negative emotion scale were used for survey. Pearson correlation analysis and mediating effect test were performed to analyze the correlation and effects. RESULTS: A total of 1546 valid questionnaires were collected. The incidence of internet addiction in college student was 20.38%. The total score of internet addiction was 52.94 ± 12.47, the total fatigue score was 69.27 ± 3.19, the score of positive emotion of college students was 31. 41 ± 5.09, and the negative emotion score was 18.54 ± 5.68. The total score of internet addiction were positively correlated with score of negative emotion (all P < 0. 05). The total score of internet addiction scale of college students were positively correlated and each factor score of with the score of fatigue severity (all P < 0. 05). Fatigue played an intermediary role in the prediction of negative emotion and internet addiction of college students, with an intermediary role of-0.433, accounting for 76.35% of the total effect. CONCLUSION: The college students' positive emotion may be strengthened to reduce their fatigue level and negative emotion so as to reduce internet addiction.

The relationship between game genre, monetization strategy and symptoms of gaming disorder in a clinical sample of adolescents.

Background: Gaming disorder (GD) has been introduced as a new diagnosis in the International Classification of Disease 11 (ICD-11). Currently, there's limited understanding of how various video games may differentially contribute to the risk of developing GD. The main aim of this study was to examine the relationship between individuals' game genre preferences, their preferred games' monetization strategies, and GD Symptoms. Methods: A total of 85 patients undergoing treatment for GD at a child and youth psychiatric clinic were included in the study. Their preferred games were classified into five novel genres based on gameplay similarities and objectives, and further categorized based on their monetization strategy. Results: Symptom burden of GD, measured with Game Addiction Scale for Adolescents (GASA), was highest for those playing Free-to-Play (F2P) games and lowest for Pay-to-Play (P2P) players. Players of Competitive Games endorsed higher GD symptom burden, whereas players of Story-driven games reported lower GD symptom burden. Symptoms of GD were associated with attention-deficit hyperactivity disorder (ADHD) diagnosis in males. Conclusions: This study reveals that game genre preference is influenced by sex, age, and certain psychiatric diagnoses. The categorizing of games into genres is increasingly complex and our research introduces a novel categorization in a developing research field. The result of this study suggests that the monetization model is important to consider while trying to understand the relationship between game characteristics and GD symptoms.

The influence of physical activity on internet addiction among Chinese college students: the mediating role of self-esteem and the moderating role of gender.

OBJECTIVES: The significance of self-esteem in the relationship between physical activity and Internet addiction among college students cannot be over, as it lays a solid foundation for the prevention and control of Internet addiction. METHODS: A total of 950 college students were surveyed using the Physical Activity Rating Scale (PARS-3), Rosenberg Self-Esteem Scale (SES), and Chinese Internet Addiction Scale (CIAS-R) through a cluster random sampling method. Descriptive statistics, independent sample t-test, partial correlation analysis, mediation effect, moderation effect, and Bootstrap testing were conducted on the collected data to analyze and interpret the results. RESULTS: (1) Significant gender differences were found in the amount of physical activity and the degree of Internet addiction among college students(P&& lt;0.001); (2) Physical activity was significantly and positively correlated with self-esteem (r = 0.26, P < 0.001), but significantly and negatively correlated with Internet addiction (r=-0.23, P < 0.001); Meanwhile, self-esteem and Internet addiction were significantly and negatively related to self-esteem (r=-0.22, P < 0.001). (3) Mediating effect analyses showed that self-esteem played a partial mediating role in physical activity and Internet addiction among college students, accounting for a portion of 78.95%. (4) A moderating effect of gender on the relationship between physical activity and Internet addiction was discovered. CONCLUSION: The physical activity level of male students is significantly higher than that of female students, while the degree of internet addiction among female students is notably higher than that of male students. Physical activity can not only directly improve the issue of internet addiction among college students, but also indirectly improve it through self-esteem, with gender playing a moderating role in this process. This conclusion has practical reference significance for preventing and controlling internet addiction among college students, and provides evidence support for using physical activity as a reference solution in clinical applications. Additionally, it suggests that gender should be taken into account when preventing and intervening in internet addiction among college students, and different strategies and methods should be adopted for male and female students. Male students should be encouraged to participate more in physical activities, gradually increasing the frequency, duration, and intensity of their participation, in order to divert their attention and enhance their sense of achievement in sports, thereby reducing their use of mobile phones. For female students, on the other hand, it is important to strengthen real-life communication, change the form of sports participation, engage in group, collaborative, and different situational sports activities, and enhance their focus and attention in sports, in order to reduce their internet dependency, better guide them to use the internet reasonably, and enable them to achieve emotional release through sports.

Relationships of gaming disorder, ADHD, and academic performance in university students: A mediation analysis.

This study investigates the intersection of Gaming Disorder (GD) and Attention-Deficit/Hyperactivity Disorder (ADHD), and Grade Point Average (GPA), among university students, a critical demographic often overlooked in research on these disorders. A sample of 348 university students was analyzed using the IGD-20 Test for risk of GD, the Adult ADHD Self-Report Scale (ASRS-v1.1) for ADHD symptoms, and GPA as a metric of academic performance. The findings indicate that 4.3% of the surveyed sample scored within the range for GD. The prevalence was higher in males, with 5.3% of the male cohort affected, compared to 1.2% of the female cohort. Significantly, the prevalence of ADHD was substantially higher in the GD group (35.7%) than in the non-GD group (24.2%). Further, ADHD symptoms were found to be a stronger predictor of GD in females than in males. Incorporating the mediating role of Gaming Disorder, this study also probes into how GD may serve as an intermediary in the impact of ADHD on academic performance. By examining the intricate relationship between these disorders, our findings suggest that GD exacerbates the negative effects of ADHD on academic performance, thereby underscoring the potential for Gaming Disorder to act as a bridge in this dynamic. This mediation analysis clarifies how ADHD may indirectly impact academic performance through GD. The study reveals a positive correlation between ADHD symptoms and GD severity, which in turn correlates negatively with academic achievement. In addition, the findings underscore the need for gender-sensitive interventions and highlight the importance of considering the comorbidity of ADHD and GD in academic settings, advocating for systematic screening for GD among students with ADHD, and vice versa. The dual challenges posed by ADHD and GD should be addressed to prevent their escalation into pervasive academic and psychosocial adversities.

Depression, stress, and anxiety versus internet addiction in early and middle adolescent groups: the mediating roles of family and school environments.

BACKGROUND: Family and school environment play a crucial role across the different developmental stages of adolescence. This paper investigates the potential mediating role of family and school environments in the relationship between the three psychosocial predictors of depression, anxiety, stress, and Internet addiction (IA). Specifically, it focuses on the two stages of early and middle adolescence. METHODS: The study involved a survey of 407 adolescents from Qatar, comprising 250 early adolescents and 157 middle adolescents. Inclusion criteria for the study included adolescents between the ages of 10 to 17 years old, residents of Qatar and studying in a Qatar-based school. To assess the constructs of the three psychosocial predictors, IA, family environment, the study utilized the Depression, Stress, and Anxiety Scale (DASS), the Internet Addiction Diagnostic Questionnaire (IADQ), and the Brief Family Relationship Scale, respectively. School environment was measured using questions from the "Health Behavior in School-aged Children: WHO Collaborative Cross-National survey/study (HBSC) 2013-2014. The study applied standard mediation analysis between the DASS components and IA with family and school environment as the mediators. RESULTS: Results from the mediation analysis reveal insights into the relationships between psychosocial predictors and IA. The findings indicate that family and school environments partially mediated the relationship with regards to depression, stress, and anxiety in early adolescents. In middle adolescents, family environment partially mediated the relationship with depression and stress and fully mediating the relationship with anxiety. Meanwhile, school environment only exhibited partial mediation in the relationship with anxiety in middle adolescence. CONCLUSIONS: These results highlight the crucial role parents and schools play in addressing problematic technology usage that develops as a response to depression, anxiety, and stress among adolescents. Moreover, the study reveals nuances in the mediating role of family and school environment in early and middle adolescence. This highlights the evolving nature of these influences across the different stages of development. Notably, this study contributes to the literature by moving beyond the conventional focus on the so-called WEIRD population, and offering valuable insights from a region that is underrepresented in current research.

Social media addiction: associations with attachment style, mental distress, and personality.

BACKGROUND: Social media bring not only benefits but also downsides, such as addictive behavior. While an ambivalent closed insecure attachment style has been prominently linked with internet and smartphone addiction, a similar analysis for social media addiction is still pending. This study aims to explore social media addiction, focusing on variations in attachment style, mental distress, and personality between students with and without problematic social media use. Additionally, it investigates whether a specific attachment style is connected to social media addiction. METHODS: Data were collected from 571 college students (mean age = 23.61, SD = 5.00, 65.5% female; response rate = 20.06%) via an online survey administered to all enrolled students of Sigmund Freud PrivatUniversity Vienna. The Bergen Social Media Addiction Scale (BSMAS) differentiated between students addicted and not addicted to social media. Attachment style was gauged using the Bielefeld Partnership Expectations Questionnaire (BFPE), mental distress by the Brief Symptom Inventory (BSI-18), and personality by the Big Five Inventory (BFI-10). RESULTS: Of the total sample, 22.7% of students were identified as addicted to social media. For personality, it was demonstrated that socially media addicted (SMA) students reported significantly higher values on the neuroticism dimension compared to not socially media addicted (NSMA) students. SMA also scored higher across all mental health dimensions-depressiveness, anxiety, and somatization. SMA more frequently exhibited an insecure attachment style than NSMA, specifically, an ambivalent closed attachment style. A two-step cluster analysis validated the initial findings, uncovering three clusters: (1) secure attachment, primarily linked with fewer occurrences of social media addiction and a lower incidence of mental health problems; (2) ambivalent closed attachment, generally associated with a higher rate of social media addiction and increased levels of mental health problems; and (3) ambivalent clingy attachment, manifesting a medium prevalence of social media addiction and a relatively equitable mental health profile. CONCLUSIONS: The outcomes are aligned with previous research on internet and smartphone addiction, pointing out the relevance of an ambivalent closed attachment style in all three contexts. Therapeutic interventions for social media addiction should be developed and implemented considering these findings.

Anxiety and depression during post covid-19 lockdown period among medical students, and it's relation with stress and smartphone addiction in India.

OBJECTIVES: Medical profession, a competitive and ever-updating field which requires great commitment, imposes a stressful environment for students. Our study aimed to find the prevalence and factors associated with psychological illness. METHODS: A cross-sectional analytical study was done among medical students in Puducherry. A stratified random sampling strategy was incorporated to achieve a calculated sample size of 384. The presence of anxiety and depression, perceived stress and addiction to the phone were assessed using the Hospital Anxiety and Depression Scale, Perceived Stress Scale, and Smartphone Addiction Scale - short version. Prevalence of anxiety and depression was summarized as a proportion with a 95 % confidence interval (CI). The prevalence ratio (PR) for the factors associated was estimated using log-binomial regression. RESULTS: With the response from 383 students, the prevalence of anxiety and depression was 39.4 % (95 %CI: 34.5-44.3 %) and 26.6 % (22.2-31.1 %). Perceived stress was moderate in 68.2 % and high in 14 % of students. Higher age (aPR=1.49), female gender (aPR=1.22), tobacco or alcohol use (aPR=1.24), smartphone addiction (aPR=2.09) and high stress (aPR=1.93) were the predictors of anxiety among medical students in our study. Use of tobacco or alcohol (aPR=2.07), smartphone addiction (aPR=1.96) and high stress (aPR=1.72) were the predictors of depression. CONCLUSIONS: Anxiety was more prevalent than depression among the medical students. Use of tobacco or alcohol, smartphone addiction and stress increase the risk of psychological morbidity. Medical training should have a module on coping mechanisms to overcome psychological illness and have better mental well-being.

The mediating effect of subject well-being between physical activity and the internet addiction of college students in China during the COVID-19 pandemic: a cross-sectional study.

Background: Internet addiction poses a significant threat to the health of college students worldwide, but physical activity, as a highly safe and effective rehabilitative measure, has shown promise for alleviating this issue nowadays. However, during the COVID-19 pandemic, the mediating processes in this association remained unclear. This study aims to explore the impact of physical activity on internet addiction among college students and the mediating role of subjective well-being. Methods: A survey was conducted on 216 eligible college students using the physical activity level scale, the internet addiction test, and the subjective well-being scale. For data analysis, independent sample t-tests, correlation analysis, hierarchical regression analysis, and mediating effect tests were in turn carried out in this work. Results: The study revealed noteworthy gender disparities in physical activity and internet addiction among college students (ß = -0.356, p < 0.01; ß = 0.140, p < 0.05). Compared to females, male students manifest elevated levels of physical activity and lower scores in internet addiction. Physical activity and subjective well-being exerted a significantly negative predictive influence on internet addiction (ß = -0.162, p < 0.05; ß = -0.508, p < 0.001). What's more, subjective well-being assumed a crucial mediating role in the relationship between physical activity and internet addiction, with the mediating effect accounting for 72.81% of the total effect. Conclusion: This study deepens the understanding of how physical activity reduces internet addiction risk while emphasizing that enhancing subjective well-being is an effective strategy for college students to cope with Internet addiction.

The absorption-addiction model of celebrity worship: in search of a broader theoretical foundation.

BACKGROUND: A large body of evidence suggests that some people have a strong, obsessive attachment to a favorite celebrity. The absorption-addiction model attempts to account for this extreme attachment, sometimes labeled "celebrity worship." According to the model, a small portion of celebrity admirers ("celebrity worshipers") become absorbed in the personal lives of celebrities to compensate for perceived personal or social deficiencies. The purpose of this study is to examine how the absorption-addiction model relates to broader psychological theories that include non-celebrity contexts. Specifically, we examine how the absorption-addiction model relates to three theories: empty-self theory, extremism theory, and the dualistic model of passion. METHODS: Participants (N = 399; 77.94% women, Mage = 19.91 years, SD = 3.24) completed an online questionnaire measuring attraction to favorite celebrities. Constructs representing the three broader theories were compared to a measure of attraction to one's favorite celebrity. RESULTS: Sense of emptiness, obsessive passion, and extremism were positively associated with celebrity attraction. The strongest association was found with extremism, though the effect was moderate. CONCLUSIONS: These findings suggest that extremism theory is the best fit of the three broader theories explaining celebrity worship, although its contribution to understanding celebrity worship is modest.

[Primary prevention of computer game addiction in students of educational institutions]. / Pervichnaya profilaktika komp'yuternoi igrovoi zavisimosti u uchashchikhsya obshcheobrazovatel'nykh uchrezhdenii.

OBJECTIVE: To conduct the primary prevention of computer game addiction (PPCGA) in students of General education institutions (GEI), aimed at preventing the formation of CGA. MATERIAL AND METHODS: The study included 488 students in grades 7-10 of GEI aged 12-17 years (14.6±2.4 years), of which 393 adolescents, who made up the main group, received PPCGA and 95 - control, without PPCGA. RESULTS: Preventive measures were carried out without interrupting the educational process; they were carried out by addiction psychiatrists and medical psychologists. PPCGA was aimed at teaching students a healthy lifestyle, the development of their personal resources, the formation of skills to overcome problem situations, a change in the value attitude to computer games and the formation of alternative interests. In the main group, a decrease in the time interval spent by students at the computer was found (p<0.05). There was a decrease in the number of students (p<0.05), experiencing affective disorders when abstaining from the computer, including mild depression and subclinically expressed anxiety/depression, for whom computer games could lead to problems and negative consequences. An increase in the interval of time spent by students at the computer (p<0.05); an increase in the number of students experiencing affective disorders when abstaining from the computer (p<0.05); a trend towards the increase in the frequency of problems and delayed meetings and personal matters related to spending time at the computer; an increase in clearly uncommunicative (p<0.05) were found in the control group. CONCLUSIONS: Primary prevention of computer gaming increase the number of students who prefer a healthy lifestyle (physical education and sports, rational nutrition, sex education, family relationships) and reduce the number of people who prefer computer games as a form of leisure.

How adolescents lose control over social networks: A process-based approach to problematic social network use.

Social networks (SNs) are immensely popular, especially among teenagers, yet our understanding of problematic SNs remains limited. Understanding motivations and patterns of use is crucial given the current prevalence of problematic SNs use. Perarles et al. (2020) distinguish two behavioral control modes: Model-Free Control, where actions are characterized by actions driven by immediate gratification without reflective consideration for long-term consequences, and Model-Based Control, enabling planned and goal-directed actions. Both control modes can lead to problematic social network use. This study aims to delve into problematic SNs use and the underlying motives behind adolescents' participation in SNs, drawing upon the theoretical proposal by Perales et al. (2020). We conducted four focus groups with adolescents aged 13-17 (50 % female; Mage = 14.5, SD = 1.75), comprising two public school and two Catholic private school groups. Thematic analysis using Atlas.ti software revealed three themes. The first uncovers characteristics of problematic SNs use, including withdrawal, increased usage time, impaired control, behavioral salience and attentional capture and cognitive hijacking. The second spotlights motives, emphasizing emotional regulation, finding out what is going on, and social interaction. The third theme explores consequences such as compromised academic performance and physical harm. In conclusion, addressing both motives and problematic behaviors present a more effective approach to confronting SNs use challenges and fostering healthier online experiences for adolescents.

Trait anxiety and corresponding neuromarkers predict internet addiction: A longitudinal study.

Background and Aims: The high prevalence of internet addiction (IA) has become a worldwide problem that profoundly affects people's mental health and executive function. Empirical studies have suggested trait anxiety (TA) as one of the most robust predictors of addictive behaviors. The present study investigated the neural and socio-psychological mechanisms underlying the association between TA and IA. Methods: Firstly, we tested the correlation between TA and IA. Then we investigated the longitudinal influence of TA on IA using a linear mixed effect (LME) model. Secondly, connectome-based predictive modeling (CPM) was employed to explore neuromarkers of TA, and we tested whether the identified neuromarkers of TA can predict IA. Lastly, stressful life events and default mode network (DMN) were considered as mediating variables to explore the relationship between TA and IA. Findings: A significant positive correlation between TA and IA was found and the high TA group demonstrated higher IA across time. CPM results revealed that the functional connectivity of cognitive control and emotion-regulation circuits and DMN were significantly correlated with TA. Furthermore, a significant association was found between the neuromarkers of TA and IA. Notably, the CPM results were all validated in an independent sample. The results of mediation demonstrated that stressful life events and correlated functional connectivity mediated the association between TA and IA. Conclusions: Findings of the present study facilitate a deeper understanding of the neural and socio-psychological mechanisms linking TA and IA and provide new directions for developing neural and psychological interventions.

Symptoms and functional impairments in patients with Internet Use Disorders participating in an online short-term therapy.

BACKGROUND: Internet use disorders (IUD) have been recognized as a serious mental health concern. In order to promote consensus on core features of IUD, further studies involving clinical samples are required. AIMS: A clinical evaluation of patients with IUD was conducted as part of the scientific monitoring of a novel online short-term therapy, embedded in the randomized controlled trial Stepped Care Approach for Problematic Internet use Treatment (SCAPIT; ID: DRKS00025994). METHODS: An online diagnostic and a clinical assessment were performed at the baseline measurement of the online intervention. The self-report version of the Assessment of Internet and Computer Game Addiction (AICA-S) was applied to assess symptom severity of IUD. The impact of psychopathological symptoms and impairments of functioning on IUD symptomatology was examined in the sample of patients. Based on a dichotomous classification of the symptom severity of IUD, differences among participants presenting moderate compared to severe addictive Internet behavior were analyzed. RESULTS: The sample of this an analysis consisted of 57 patients (57.9% males, mean age of 29.12 years) participating in the online short-term therapy for IUD. Based on the AICA-S sum score (M = 11.60; SD = 3.30) participants exhibited moderate (n = 44; 77.2%) to severe (n = 13; 22.8%) symptoms of addictive Internet use. Psychopathological symptoms and impairments of psychosocial functioning had an effect on symptom severity of IUD. Participants with severe symptoms of IUD showed higher psychopathological strains compared to patients with moderate addictive Internet behavior. CONCLUSIONS: The clinical evaluation of patients participating in a novel online short-term therapy for IUD indicated that psychopathological symptoms and impairments of functioning have an impact on addictive Internet behaviors and consequently, need to be addressed in the treatment of IUD. Based on the results, further implications for clinical practice and research on addictive Internet behavior are derived.

Relationship between loneliness and internet addiction: a meta-analysis.

BACKGROUND: In the digital age, the Internet has become integrated into all aspects of people's work, study, entertainment, and other activities, leading to a dramatic increase in the frequency of Internet use. However, excessive Internet use has negative effects on the body, psychology, and many other aspects. This study aims to systematically analyze the research findings on the relationship between loneliness and Internet addiction to obtain a more objective, comprehensive effect size. METHODS: This study employed a comprehensive meta-analysis of empirical research conducted over the past two decades to investigate the relationship between loneliness and Internet addiction, with a focus on the moderating variables influencing this relationship. This meta-analysis adopted a unique approach by categorizing moderating variables into two distinct groups: the objective characteristics of research subjects and the subjective characteristics of researchers. It sheds light on the multifaceted factors that influence the relationship between loneliness and Internet addiction. RESULTS: A literature search in web of science yielded 32 independent effect sizes involving 35,623 subjects. Heterogeneity testing indicated that a random effects model was appropriate. A funnel plot and Begg and Mazumdar's rank correlation test revealed no publication bias in this meta-analysis. Following the effect size test, it was evident that loneliness was significantly and positively correlated with Internet addiction (r = 0.291, p < 0.001). The moderating effect analysis showed that objective characteristics significantly affected the relationship. However, subjective characteristics did not affect the relationship. CONCLUSIONS: The study revealed a moderately positive correlation between loneliness and Internet addiction. Moreover, this correlation's strength was found to be influenced by various factors, including gender, age, grade, and the region of the subjects. However, it was not affected by variables such as the measurement tool, research design, or research year (whether before or after COVID-19).

Investigating the effects of postural habits and awareness on early adolescent's internet addiction levels.

OBJECTIVES: Early adolescence is a period of growth and development determined by the onset of puberty, during which important changes in psychological development and social roles occur. Excessive use of the internet, especially in adolescents in this period, causes health problems such as postural disorders, vision problems, sedentary life, and unbalanced nutrition. When the studies are analyzed, it is observed that postural disorders are observed in children and adolescents. This study was planned to investigate the effect of postural habits and awareness on the level of internet addiction in early adolescents. METHODS: Physical characteristics of the participants (age, height, weight, gender, body mass index) were recorded. Duration and purpose of internet use and internet addiction were determined with the Young Internet Addiction Test-Short Form, body composition sensitivity level with the Body Awareness Questionnaire, and postural awareness with the Postural Habit and Awareness Scale. RESULTS: There was a significant positive correlation between internet addiction and duration of internet use (r=0.466) (p=0.000). In addition, there was no relationship between internet usage time and body awareness (r=-0.117) (p=0.084) and postural awareness and habit (r=-0.017) (p=0.798). When internet addiction was compared with body awareness, a significant relationship was found in the opposite direction (r=-0.145) (p=0.031). When internet addiction was compared with postural awareness and habit, a positive relationship was found (r=0.190) (p=0.005). CONCLUSIONS: Our study showed that internet addiction negatively affects body awareness, and does not affect postural habits, but positively affects postural awareness.

Exploring the determinants of internet addiction among Peri-urban adolescents (aged 13-18) in Delhi-NCR, India: an ordered logit model analysis.

OBJECTIVES: In recent years, there has been phenomenal growth in internet usage worldwide, with a substantial proportion of children and adolescents actively engaging with online platforms. While the internet presents numerous opportunities for children and adolescents, the lack of digital literacy and adequate online safety measures exposes them to various cybercrimes, including cyberbullying, cyberstalking, identity theft, and sexual predation. Moreover, there is growing concern regarding internet addiction among this population. METHODS: To investigate the determinants of internet addiction among adolescents, we conducted a cross-sectional study in peri-urban Delhi-NCR, India. We used a self-administered questionnaire to gather information on internet usage, and 630 adolescents aged 13-18 participated in the study, also completing an Internet Addiction Test. RESULTS: The findings indicate that 415 adolescents (65.9 %) exhibited no signs of internet addiction, suggesting a healthy relationship with the internet. However, 215 adolescents (33.1 %) displayed symptoms of internet addiction. Among those exhibiting internet addictions, 159 (74.0 %) were classified as mild internet addicts, indicating moderate levels of internet usage. Furthermore, 56 (26.0 %) adolescents were classified as moderate internet addicts, reflecting a higher level of internet addiction. CONCLUSIONS: Our study highlights the significant influence of various factors, including family dynamics, environmental factors, and personal experiences, on internet addiction among adolescents. Based on these findings, we propose implementing measures at different levels to foster responsible internet use among adolescents, thereby substantially reducing internet addiction.

Impaired social reward processing in individuals with Internet gaming disorder and its relationship with early face perception.

Previous research has found that individuals with Internet gaming disorder (IGD) show different patterns of social function impairments in game-related and real-life social contexts. Impaired social reward processing may be the underlying mechanism according to the Social Motivation Theory. Thus, in this study, event-related potentials were recorded from 24 individuals with IGD and 24 healthy gamers during a social judgement task. We focused on reward positivity (RewP) elicited by game-related and real-life social rewards, and N170 elicited by game avatar faces and real faces. These indicators were used to explore the neurocognitive mechanism of impaired social reward processing in individuals with IGD and its relationship with early face perception. Results showed that (1) the RewP elicited by real-life social reward was considerably reduced in individuals with IGD relative to healthy gamers. (2) The N170 elicited by game avatar faces in individuals with IGD was larger than that elicited by real faces. However, the N170 was not associated with RewP in either group. (3) The score for IGD severity was correlated with the RewP elicited by real-life social reward and the N170 elicited by game avatar face. In conclusion, the present study suggests that the impaired social reward processing in individuals with IGD is mainly manifested in a decreased neural sensitivity to real-life social reward. Meanwhile, the reduced RewP elicited by real-life social reward and the enhanced N170 elicited by game avatar face might serve as potential biomarkers for IGD.

Psychedelic-assisted therapy for people with gambling disorder?

Gambling disorder is a severe mental health and behavioural problem with harmful consequences, including financial, relationship and mental health problems. The present paper initiates discussion on the use of psychedelics combined with psychotherapeutic support as a potential treatment option for people living with a gambling disorder. Recent studies have shown promising results using psychedelic-assisted therapy (PAT) to treat anxiety, depression, post-traumatic stress disorder, and various substance use disorders. Considering the similarities in the underlying psychosocial and neurobiological mechanisms of gambling disorder and other addictive disorders, the authors suggest that psychedelic-assisted therapy could be effective in treating gambling disorder. The paper also underscores the need for further research into the viability and effectiveness of psychedelic-assisted therapy for gambling disorder.

Effects of internet and smartphone addiction on cognitive control in adolescents and young adults: A systematic review of fMRI studies.

BACKGROUND: Internet Addiction (IA) refers to excessive or uncontrolled behaviors related to Internet access, causing impairment or distress. Similarly, Smartphone Addiction (SPA) involves the excessive use of smartphones, disrupting users' daily lives. Cognitive control plays a relevant role in the development of IA and SPA, with executive functions and rewards processing being particularly important. OBJECTIVE: This study aims to provide a synthesis of scientific evidence on the differential effects of IA and SPA on cognition in young adults and adolescents, using fMRI. METHODS: Relevant articles published between 2013 and May 2023 were identified following the PRISMA protocol. RESULTS: Included studies (n = 21) revealed that both behavioral addictions were associated with impairments in cognitive control related to reward processing (ACC, insula, amygdala) and executive function (DLPFC, frontal, parietal lobes) in adolescents and young adults. CONCLUSION: These findings provide evidence for neuroanatomical similarities between IA and SPA in young adults and adolescents related to executive functions and rewards processing. However, differential effects of SPA and IA on cognitive control were not found in this study. Future research should explore the relationship between these addictions with other cognitive domains to further expand our understanding within this field. While both IA and SPA involve the excessive use of online technology, SPA could involve a higher risk, given that smartphones allow internet connectivity anytime.

Multimodal-based machine learning approach to classify features of internet gaming disorder and alcohol use disorder: A sensor-level and source-level resting-state electroencephalography activity and neuropsychological study.

OBJECTIVES: Addictions have recently been classified as substance use disorder (SUD) and behavioral addiction (BA), but the concept of BA is still debatable. Therefore, it is necessary to conduct further neuroscientific research to understand the mechanisms of BA to the same extent as SUD. The present study used machine learning (ML) algorithms to investigate the neuropsychological and neurophysiological aspects of addictions in individuals with internet gaming disorder (IGD) and alcohol use disorder (AUD). METHODS: We developed three models for distinguishing individuals with IGD from those with AUD, individuals with IGD from healthy controls (HCs), and individuals with AUD from HCs using ML algorithms, including L1-norm support vector machine, random forest, and L1-norm logistic regression (LR). Three distinct feature sets were used for model training: a unimodal-electroencephalography (EEG) feature set combined with sensor- and source-level feature; a unimodal-neuropsychological feature (NF) set included sex, age, depression, anxiety, impulsivity, and general cognitive function, and a multimodal (EEG + NF) feature set. RESULTS: The LR model with the multimodal feature set used for the classification of IGD and AUD outperformed the other models (accuracy: 0.712). The important features selected by the model highlighted that the IGD group had differential delta and beta source connectivity between right intrahemispheric regions and distinct sensor-level EEG activities. Among the NFs, sex and age were the important features for good model performance. CONCLUSIONS: Using ML techniques, we demonstrated the neurophysiological and neuropsychological similarities and differences between IGD (a BA) and AUD (a SUD).