Problematic use of the internet, smartphones, and social media among medical students and relationship with depression: An exploratory study.

BACKGROUND: Students in sub-Saharan African countries experienced online classes for the first time during the COVID-19 pandemic. For some individuals, greater online engagement can lead to online dependency, which can be associated with depression. The present study explored the association between problematic use of the internet, social media, and smartphones with depression symptoms among Ugandan medical students. METHODS: A pilot study was conducted among 269 medical students at a Ugandan public university. Using a survey, data were collected regarding socio-demographic factors, lifestyle, online use behaviors, smartphone addiction, social media addiction, and internet addiction. Hierarchical linear regression models were performed to explore the associations of different forms of online addiction with depression symptom severity. RESULTS: The findings indicated that 16.73% of the medical students had moderate to severe depression symptoms. The prevalence of being at risk of (i) smartphone addiction was 45.72%, (ii) social media addiction was 74.34%, and (iii) internet addiction use was 8.55%. Online use behaviors (e.g., average hours spent online, types of social media platforms used, the purpose for internet use) and online-related addictions (to smartphones, social media, and the internet) predicted approximately 8% and 10% of the severity of depression symptoms, respectively. However, over the past two weeks, life stressors had the highest predictability for depression (35.9%). The final model predicted a total of 51.9% variance for depression symptoms. In the final model, romantic relationship problems (ß = 2.30, S.E = 0.58; p<0.01) and academic performance problems (ß = 1.76, S.E = 0.60; p<0.01) over the past two weeks; and increased internet addiction severity (ß = 0.05, S.E = 0.02; p<0.01) was associated with significantly increased depression symptom severity, whereas Twitter use was associated with reduced depression symptom severity (ß = 1.88, S.E = 0.57; p<0.05). CONCLUSION: Despite life stressors being the largest predictor of depression symptom score severity, problematic online use also contributed significantly. Therefore, it is recommended that medical students' mental health care services consider digital wellbeing and its relationship with problematic online use as part of a more holistic depression prevention and resilience program.

Risk Factors and Protective Factors of Internet Addiction in University Students during the Pandemic: Implications for Prevention and Treatment.

While the prevalence rates of Internet addiction (IA) amongst young people during the pandemic are disturbing, few studies have investigated the risk and protective factors of IA in Hong Kong university students under COVID-19. In this study, we examined the relationship between COVID-19-related stress and IA and the role of psychological morbidity and positive psychological attributes in the relationship. In summer 2022, 978 university students completed a survey assessing pandemic-related stress, psychological morbidity, and positive psychological attributes. While psychological morbidity was indexed by depression, post-traumatic stress disorder, and suicidal behavior, positive psychological attributes included life satisfaction, flourishing, adversity beliefs, emotional competence, resilience, and family functioning measures. Results showed that stress and psychological morbidity positively predicted IA, and psychological morbidity mediated the association between stress and IA. Positive psychological attributes negatively predicted stress and IA, and mediated the connection between stress and IA. Positive psychological attributes moderated the mediating effect of psychological morbidity on the relationship between stress and IA. In addition to theoretical contributions, this study contributes to IA prevention and treatment: reducing psychological morbidity and promoting positive psychological attributes are promising strategies to address IA issues in young people.

Internet addiction and mental health disorders in high school students in a Peruvian region: a cross-sectional study.

OBJECTIVES: To determine the association between internet addiction disorder (IAD) and anxiety and depressive symptomatology in high school students in two private schools in Chiclayo, Peru, during the COVID-19 pandemic. MATERIALS AND METHODS: Analytical cross-sectional investigation of 505 adolescents from two private schools. The dependent variables were anxiety and depressive symptomatology, measured with the Beck Adapted Depression Questionnaire (BDI-IIA) and the Beck Anxiety Inventory (BAI), respectively. The main independent variable was IAD, measured with the Internet Addiction Test instrument(IATI). Prevalence ratios (PR) and 95% confidence intervals (95%CI) were estimated. RESULTS: The average age was 14.16 years and 54.9% were women. 22.2% and 3.2% presented mild and moderate IAD; respectively. 9.3% presented severe anxiety and 34.3% severe depressive symptomatology. In the simple regression, adolescents with mild, moderate and severe IAD presented 19% (PR = 1.19; 95%CI: 1.05-1.35), 25% (PR = 1.25; 95%CI: 1.02-1.53) and 53% (PR = 1.47; 95% CI: 1.47-1.60) higher prevalence of depressive symptomatology; however, this association was not maintained in the multiple model. Anxiety increased 196% in adolescents with severe IAD (PR = 2.96; 95%CI: 1.86-4.71). CONCLUSION: We found that 2, 1, and 3 out of 10 students presented IAD, depressive symptomatology, and anxiety, respectively. We did not find an association between IAD and depressive symptomatology, but we did find an association with anxiety. Among the factors associated with the development of depressive symptomatology were the male sex, the presence of eating disorders, subclinical insomnia, using devices for more than 2 h, and using the Internet for academic activities. About anxiety, the associated factors are the female sex, the presence of eating disorders, subclinical insomnia, and the use of the Internet as social interaction. We recommend implementing counseling programs in view of the imminent introduction of the Internet as a pillar in education.

Was retrospective change measurement conducted with Covid-19 containment inconsistent? Comparing prospective and retrospective change measures using data from a national survey on substance use and addictive behaviors.

Single-measurement-point data collection to assess change has increased with studies assessing the impact of the Covid-19 pandemic and of its containment, despite evidence of its lack of validity. Retrospective change is not equivalent to change in repeated self-reported measures giving raise to questions about the validity of the former. This paper purports to investigate inconsistencies between change measures by confronting retrospective change to information from longitudinally self-reported measures from the C-SURF cohort study. The study sample consists of 2,279 young men who participated in C-SURF between 2020 and 2021, and completed between May and June 2021 a survey covering change in alcohol, cigarette, cannabis and other addictive behaviors related to the pandemic. The aforementioned behaviors were assessed longitudinally at two time points using self-reports, and retrospective change since the onset of the Covid-19 crisis was also assessed at the second measurement time. Information from both prospective and retrospective change measures were confronted to identify inconsistent information for each behavior. Additionally, multiple logistic regressions were performed to assess associations between socioeconomic status, impulsivity, depression, and different indicators of motivation to complete the study and inconsistency between both measures for each behavior of interest. Importantly, inconsistent information in at least one of the investigated behaviors was found in about 90% of the participants. Small associations were found between inconsistency and different factors with a consistent effect of impulsivity. In the absence of evidence of the validity of retrospective change measures, studies relying on retrospective change should be interpreted with caution.

Internet addiction and residual depressive symptoms among clinically stable adolescents with major psychiatric disorders during the COVID-19 pandemic: a network analysis perspective.

To assess the inter-relationships between residual depressive symptoms (RDS) and Internet addiction (IA) using network analysis among clinically stable adolescents with major psychiatric disorders during the COVID-19 pandemic. RDS and IA were assessed using the Patient Health Questionnaire-9 (PHQ-9) and the Internet Addiction Test (IAT), respectively. Central symptoms and bridge symptoms in the network model were examined. A total of 1,454 adolescents met the study criteria and were included in the analyses. The prevalence of IA was 31.2% (95% CI: 28.8%-33.6%). In the network analysis, the nodes IAT15 ("Preoccupation with the Internet"), PHQ2 ("Sad mood"), and PHQ1 ("Anhedonia") were the most central symptoms in the IA-RDS network model. Bridge symptoms included IAT10 ("Sooth disturbing about your Internet use"), PHQ9 ("Suicide ideation"), and IAT3 ("Prefer the excitement online to the time with others"). Additionally, PHQ2 ("Sad mood") was the main node linking "Anhedonia" to other IA clusters. Internet addiction was common among clinically stable adolescents with major psychiatric disorders during the COVID-19 pandemic. Core and bridge symptoms identified in this study could be prioritized as targets for the prevention and treatment of IA in this population.

Loot box consumption by adolescents pre- and post- pandemic lockdown.

Loot boxes are virtual items that can be redeemed to receive randomly selected other virtual items, and have been criticized for being similar to gambling. The presence of loot boxes in video games has dramatically increased since 2010, with little evidence available for the current prevalence rate of loot box purchasing in the general population, particularly during and following the COVID-19 pandemic lockdowns. This study uses data from representative samples of American youth to estimate prevalence rates for video game play and loot box consumption before the pandemic (2019) and after the pandemic lockdowns (2022) to examine whether the pandemic has affected loot box usage in the general population and among gamers. The results suggest that youth loot box consumption has increased, rising from 24.9% in 2019 to 31.6% in 2022 among 8th grade (age 13-14) youth. The increase over this time period was larger for girls, though boys are still more likely to purchase loot boxes overall.

The association between online learning, parents' marital status, and internet addiction among adolescents during the COVID-19 pandemic period: A cross-lagged panel network approach.

INTRODUCTION: Previous research has identified the association between online learning and Internet addiction (IA) and the role of family factors in it. However, few studies have treated IA as a multidimensional mechanism and explored the underlying linkage of online learning, IA, and parental marital status with a cross-lagged network approach. The study aimed to examine the relationship between online learning during the COVID-19 pandemic, Internet addiction (IA), and parental marital status among Chinese adolescents. METHODS: The sample consisted of 2356 adolescents who completed the Internet Addiction Test twice over a four-month period. Four symptom networks and two cross-lagged panel networks were performed. RESULTS: The results showed that adolescents from divorced families had a higher prevalence of IA (27 %) compared to those from non-divorced families (17 %). The strongest cross-lagged association was found between "spending more time online" and "preferring the excitement online". In the divorced group, "school grades suffering" had the highest influence, while in the non-divorced group, "anticipation" had the highest influence. CONCLUSION: This study highlights the relationship between online learning, IA, and parental divorce and suggests that long-term online learning may contribute to IA, and parental divorce may exacerbate problematic Internet use and increase IA levels.

Symptoms of internet gaming disorder and depression in Chinese adolescents: A network analysis.

The current study aimed to investigate comorbidity among symptoms of depression and internet gaming disorder (IGD) utilizing symptom network analysis in a sample of Chinese adolescents. A total of 1,362 Chinese adolescents (Mean age = 15.19 ± 1.67; range 13-21; 39.79% female, 56.02% male, 4.19% not disclosed) were recruited from 11 local secondary schools between June and July 2020. Symptoms of depression and IGD were assessed by the 7-item DASS-21 depression subscale and the 9-item Internet Gaming Disorder Scale. We conducted network analysis to estimate network models and the most central symptoms of depression and IGD and computed a combined network model of both depression and IGD symptoms to find bridge symptoms and illustrate the comorbidity between depression and IGD. We found that feeling 'Worthless', 'Meaningless', and 'Down-hearted' were identified as the most central symptoms of depression, whereas 'Preoccupation' and 'Tolerance' were the two most central symptoms of IGD. The bridge symptoms in the combined network model were 'Gaming for escape or mood relief' from the IGD cluster and 'No initiative' and 'Down-hearted" from the depression cluster. The current study was the first to investigate the relationship between depression and IGD symptoms among adolescents utilizing a symptom network perspective. Also, it highlighted key bridge symptoms in understanding how IGD and depression contribute to each other.

Risk Factors for Gambling Disorder: A Systematic Review.

Gambling disorder is a common and problematic behavioral disorder associated with depression, substance abuse, domestic violence, bankruptcy, and high suicide rates. In the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5), pathological gambling was renamed "gambling disorder" and moved to the Substance-Related and Addiction Disorders chapter to acknowledge that research suggests that pathological gambling and alcohol and drug addiction are related. Therefore, this paper provides a systematic review of risk factors for gambling disorder. Systematic searches of EBSCO, PubMed, and Web of Science identified 33 records that met study inclusion criteria. A revised study acknowledges as risk factors for developing/maintaining a gambling disorder being a single young male, or married for less than 5 years, living alone, having a poor education, and struggling financially.

Symptom relationships between internet addiction and anxiety across primary and middle school students during the Omicron lockdown.

During the Omicron pandemic, students in Shenzhen took classes at home via the internet, which could lead to internet addiction (IA) symptoms, and anxiety is often considered an important risk factor for IA. There are several different developmental stages within adolescence. However, no studies have explored the interaction between IA and anxiety at the symptom level using a longitudinal design stratified by age. A total of 2744 students completed the questionnaire 50 days after starting the online classes (T1) and 50 days after they returned to school (T2). A cross-lagged panel network model was used to describe the structure of the comorbidity network. With the help of bootstrapping, the Mann-Whitney U test was used to examine the differences between primary school students' and middle school students' networks. The results found that there is a bidirectional interaction between IA and anxiety, and anxiety plays a dominant role. Feeling afraid is the bridge symptom between IA and anxiety. IA did not show developmental stage differences, but anxiety did. These findings extend the model of compensatory internet use and suggest that, when alleviating IA symptoms in adolescents, attention should be given to their possible comorbid anxiety symptoms, especially in middle school students.

The adoption and sustainability of digital therapeutics in justice systems: A pilot feasibility study.

BACKGROUND: This study explored whether participants with substance use disorder (SUD) would adopt and use a smart-phone app with a cognitive behavioral therapy program, weekly Brief Addiction Monitor (BAM) assessments, daily check-ins, tools to track sobriety and treatment, and other patient-centered resources. In addition, participants with SUD could access a social worker and peer support specialists. METHODS: The study sought participants from two groups: those referred by a justice-related agency and participants who responded to outreach from the Addiction Policy Forum (APF). The Connections smart-phone app was offered to both groups. The study examined use of the app and social worker/peer recovery support services by participants who downloaded and used the app; those referred by a justice-related agency and those who self-referred through APF. The app provided primary data, including socio-demographics, referral status, dates of use, activities completed, and BAM scores. RESULTS: The app was offered to 1973 participants, 40% of whom downloaded it. Three groups emerged from among the 350 who used the app: those who used only the cognitive behavioral aspects of the app, those who used only the recovery support services offered, and those who used both the app and recovery support services. Looking at the two referral groups, the justice-referred group preferred telehealth recovery support services with the social worker; the self-referred group used the app and the app plus the recovery support services equally. Scores on the BAM improved across time. Justice-referred participants' protective behaviors improved more than those of the self-referred participants while self-referred participants' risk behaviors improved more than those of justice-referred participants. Older participants were more likely to use the app, and to report fewer risky behaviors, as measured by the BAM. CONCLUSIONS: Use of a digital therapeutic appears to support recovery of participants with SUD although many clients need and want the integration of social worker-driven recovery support services. Basically, the app can be an extension to personal services, but many people with SUD (particularly during COVID-19) crave human interaction. It also appears that those who seek assistance on their own, rather than being referred by a justice-related agency, may be more likely to benefit from digital therapeutics such as the Connections app.

Digital Addiction Intervention for Children and Adolescents: A Scoping Review.

Digital devices play a significant role in the learning and living of children and adolescents, whose overuse or addiction has become a global concern. This scoping review seeks to synthesize existing studies to investigate relevant interventions and their effects on digital addiction in children (ages 0-18). To understand the latest advances, we have identified 17 studies published in international peer-reviewed journals between 2018-2022. The findings revealed that, first, most interventions for digital addiction in children and adolescents were cognitive-behavioral therapies (CBT) or CBT-based interventions, which could improve anxiety, depression, and related symptoms of digital addiction. Second, rather than directly targeting addictive behaviors, some family-based interventions aim to strengthen family functions and relationships. Finally, digital-based interventions, such as website-based, application-based, and virtual reality interventions, are promising in adolescent digital addiction interventions. However, these studies shared the same limitations: small sample sizes, short intervention durations, no control group, and nonrandomized assignments. The small sample size problem is difficult to solve by offline intervention. Meanwhile, online digital-based intervention is still in its infancy, resulting in limited generalizability of the findings and the inability to popularize digital intervention. Accordingly, future intervention studies should integrate various assessments and interventions to form an integrated platform to provide interventions for addicted children and adolescents worldwide.

Longitudinal association between problematic smartphone use and sleep disorder among Chinese college students during the COVID-19 pandemic.

BACKGROUND: Problematic smartphone use (PSU) and sleep disorders (SD) are common public health problems among college students. While previous cross-sectional studies have found a relationship between PSU and SD, the causal direction of this relationship remains unclear. This study aims to examine the longitudinal changes of PSU and SD during the COVID-19 pandemic, determine the causal relationship between them, and identify confounding factors that affect this association. METHODS: The study sample consisted of 1186 Chinese college students (47.7% male) with a mean age of 18.08 years. Participants completed the Smartphone Addiction Scale - Short Version (SAS-SV) and the Pittsburgh Sleep Quality Index (PSQI) at both baseline and follow-up surveys, conducted one year apart. The cross-lagged panel model (CLPM) was used to examine the causal relationship between PSU and SD, stratified by gender and duration of daily physical activity. The fixed effect panel regression was used to confirm the findings of CLPM. RESULTS: The results of the CLPM analysis showed a significant bidirectional relationship between PSU and SD for the overall sample, which was consistent with the fixed effects model findings. However, subgroup analyses revealed that the bidirectional association disappeared among males or those who engaged in daily physical activity for more than 1 h. CONCLUSIONS: Our study shows a significant bidirectional association between PSU and SD, with variations across gender and daily physical activity levels. Encouraging physical activity may serve as a potential intervention to disrupt the bidirectional association between PSU and SD, which has important implications for public health strategies aimed at reducing the negative consequences of PSU and SD.

Association between urbanization and Internet addiction.

PURPOSE OF REVIEW: Understanding the association between urbanization and Internet addiction is essential to the design and implementation of Internet addiction prevention measures in urban areas. This epidemiological review explores the urbanization-Internet addiction association and its potential underlying factors. RECENT FINDINGS: Nine studies have reported that Internet addiction prevalence is higher in urban areas, but three studies have noted the opposite. Psychiatric disorders and stress are the most commonly mentioned factors underlying the association. The effects of urbanization on Internet availability, Internet cafes, online gaming, outdoor or interactive activities, and family regulation and monitoring have been suggested to lead to higher Internet addiction risk. The ongoing COVID-19 pandemic, obesity, sleep problems, and the migration of parents to urban areas in search of work have strengthened the effect of urbanization on Internet addiction. SUMMARY: Early assessment and treatment provided by mental health services are crucial for mitigating the effect of urbanization on Internet addiction risk. Cities should be designed to provide adequate space for physical and interactive activities. To promote outdoor activities, air pollution, traffic congestion, and crime should be controlled. Prospective face-to-face studies involving analysis of data on pollution, traffic, and Internet addiction could provide evidence to elucidate the urbanization- Internet addiction association.

"They didn't have any idea what drugs were": Pathways to substance use disorders among ultraorthodox Jewish males.

BACKGROUND: Substance use disorders (SUDs) are a worldwide phenomenon with very negative consequences, and belonging to a religious community is considered to be a protective factor against them. The pathways to SUDs have been investigated in many studies with the aim of helping us better understand this phenomenon and promoting effective intervention programs to prevent and manage it. However, there is a lack of knowledge regarding SUDs in closed religious communities such as the Ultraorthodox Jewish community. METHOD: To fill this gap, in the current study we investigated the pathways to SUDs among 14 young men from the Ultraorthodox Jewish community in Israel who were diagnosed as having an SUD in the past and who had been in sustained remission for at least a year. Semi-structured, in-depth interviews consisting of open-ended questions were conducted. RESULTS: The findings highlighted two main themes: (a) A lack of support and attention from various systems, where participants reported sense of otherness or lack of belonging to family, educational institutions and community; a lack of responsiveness from those systems; a sense of rejection or exclusion; and a longing for belonging, and (b) A light in the darkness - someone who cares, in which the interviewees received some assistance, either in the period before or during drug use. CONCLUSION: Findings point to the unique experience of Ultraorthodox young men in their addiction process and shed light on the failure of the abovementioned systems to help these young men cope. Findings are discussed in the context of the theoretical perspectives of social capital theory and exclusion. Implications for intervention and policy are outlined.

Mental health concerns during the COVID-19 pandemic as revealed by helpline calls.

Mental health is an important component of public health, especially in times of crisis. However, monitoring public mental health is difficult because data are often patchy and low-frequency1-3. Here we complement established approaches by using data from helplines, which offer a real-time measure of 'revealed' distress and mental health concerns across a range of topics4-9. We collected data on 8 million calls from 19 countries, focusing on the COVID-19 crisis. Call volumes peaked six weeks after the initial outbreak, at 35% above pre-pandemic levels. The increase was driven mainly by fear (including fear of infection), loneliness and, later in the pandemic, concerns about physical health. Relationship issues, economic problems, violence and suicidal ideation, however, were less prevalent than before the pandemic. This pattern was apparent both during the first wave and during subsequent COVID-19 waves. Issues linked directly to the pandemic therefore seem to have replaced rather than exacerbated underlying anxieties. Conditional on infection rates, suicide-related calls increased when containment policies became more stringent and decreased when income support was extended. This implies that financial relief can allay the distress triggered by lockdown measures and illustrates the insights that can be gleaned from the statistical analysis of helpline data.

Differences between recreational gamers and Internet Gaming Disorder candidates in a sample of Animal Crossing: New Horizons players.

Throughout the last decade, research has considered players' gaming motives as risk and the perceived social support (PSS) as protective factors in the context of Internet Gaming Disorder (IGD). However, the literature is lacking diversity regarding the representation of female gamers as well as of casual and console-based games. The aim of this study was to assess IGD, gaming motives, and PSS comparing recreational gamers and IGD candidates in a sample of Animal Crossing: New Horizons players. A total of 2909 ACNH players (93.7% of them female gamers) took part in an online survey which collected demographic, gaming-related, motivational, and psychopathologic data. Using the cut-off of at least five positive answers to the IGDQ, potential IGD candidates were identified. ACNH players reported a high prevalence rate for IGD (10.3%). IGD candidates differed from recreational players regarding age, sex, and game-related, motivational, and psychopathological variables. A binary logistic regression model was computed to predict membership in the potential IGD group. Age, PSS, escapism and competition motives as well as psychopathology were significant predictors. To discuss IGD in the context of casual gaming, we consider demographic, motivational, and psychopathological player characteristics as well as game design and the COVID-19 pandemic. IGD research needs to broaden its focus concerning game types as well as gamer populations.

Internet severity and activities addiction questionnaire (ISAAQ): Psychometrics of item response theory and clustering of online activities.

BACKGROUND: Problematic usage of the internet (PUI) is an umbrella term, referring to a variety of maladaptive online behaviors linked to functional impairment. There is ongoing need for the development of instruments capturing not only PUI severity, but also the online activity types. The Internet Severity and Activities Questionnaire (ISAAQ), previously developed to address this need, required further refinement and validation. METHODS: Cross-sectional data was gathered in two separate samples (South Africa n = 3275, USA-UK n = 943) using the Internet Severity and Activities Addiction Questionnaire (ISAAQ). Item Response Theory (IRT) was used to examine the properties of the scale (Part A of the ISAAQ) and differential item functioning against demographic parameters. The severity scale of the ISAAQ was optimized by eliminating the poorest performing items using an iterative approach and examining validity metrics. Cluster analyses was used to examine internet activities and commonalities across samples (Part B of the ISAAQ). RESULTS: Optimization of ISAAQ using IRT yielded a refined 10-item version (ISAAQ-10), with less differential item functioning and a robust unidimensional factor structure. The ISAAQ-10 severity score correlated strongly with established measures of internet addiction (Compulsive Internet Use Scale [Person's r = 0.86] and the Internet Addiction Test-10 [r = 0.75]). Combined with gaming activity score it correlated moderately strongly with the established Internet Gaming Disorder Test (r = 0.65). Exploratory cluster analyses in both samples identified two groups, one of "low-PUI" [98.1-98.5%], and one of "high-PUI" [1.5-1.9%]. Multiple facets of internet activity appeared elevated in the high-PUI cluster. DISCUSSION: The ISAAQ-10 supersedes the earlier longer version of the ISAAQ, and provides a useful, psychometrically robust measure of PUI severity (Part A), and captures the extent of engagement in a wide gamut of online specific internet activities (Part B). ISAAQ-10 constitutes a valuable objective measurement tool for future studies.

Internet Gaming Disorders and Early Onset Psychosis in Young People: A Case Study and Clinical Observations.

BACKGROUND: Over the last ten years, the video game industry has grown exponentially, involving about 2.5 billion young adults in the world. The estimated global prevalence of gaming addiction has been reported to be 3.5% ranging from 0.21% to 57.5% in the general population. Moreover, during the recent COVID-19 pandemic period, school closures and stay-at-home measures have also further increased the opportunities for prolonged and intensified playing of video games. Little is known about the relationship between IGD and psychosis, and the literature is still scarce. Some characteristics of patients with psychosis, particularly those with a first-episode psychosis (FEP), may suggest that these individuals would be particularly liable to develop IGD. CASE PRESENTATION: We report two cases of young patients with to Internet gaming disorder, experiencing early onset psychosis treated with antipsychotic therapy. CONCLUSION: Although it is difficult to show the specific mechanisms underlying the psychopathological alterations in IGD, it is clear that excessive exposure to video games could be a risk factor for precipitating psychosis especially in a vulnerable age group such as adolescence. Clinicians should be aware of the possibility of a higher risk of psychotic onset associated specifically with gaming disorders in very young people.

Longitudinal relationship between problematic internet use with loneliness during and after COVID-19 social restrictions: Short title: Internet use and loneliness.

Two, three-month long longitudinal studies examined the temporal relationships between problematic internet use (PIU), internet usage, and loneliness ratings, during and after lockdown restrictions. Experiment 1 examined 32, 18-51 year old participants, over a three-month period of lockdown restrictions. Experiment 2 studied 41, 18-51 year old participants, over a three-month period following the lifting of lockdown restrictions. Participants completed the internet addiction test, UCLA loneliness scale, and answered questioned about their online usage, at two time points. All cross-sectional analyses revealed a positive relationship between PIU and loneliness. However, there was no association between online use and loneliness. Longitudinal relationships between PIU and loneliness differed during and after lockdown restrictions. During a period of lockdown, there were both positive associations between earlier PIU and subsequent loneliness, and between earlier loneliness and subsequent PIU. However, following the easing of lockdown restrictions, only the temporal relationship between earlier internet addiction and later loneliness was significant.