Associations of Internet Addiction Severity With Psychopathology, Serious Mental Illness, and Suicidality: Large-Sample Cross-Sectional Study

The mediating effect of internet addiction and the moderating effect of physical activity on the relationship between alexithymia and depression

There is a certain relationship between alexithymia and depression, but further investigation is needed to explore their underlying mechanisms. The aims of this study was to explore the mediating role of internet addiction between alexithymia and depression and the moderating role of physical activity. A total of 594 valid responses were included in the analysis, with a mean age of 18.72 years (SD = 1.09). The sample comprised 250 males (42.09%) and 344 females (57.91%). These responses were utilized for descriptive analysis, correlation analysis, regression analysis, and the development of mediation and moderation models. Alexithymia showed positive correlations with depression and internet addiction, and physical activity was negatively correlated with internet addiction and depression. Internet addiction partially mediated the relationship between alexithymia and depression, while physical activity weakened the association between internet addiction and depression, acting as a moderator. Our findings suggest that excessive Internet engagement may mediate the relationship between alexithymia and depression as an emotional regulatory coping strategy, and that physical activity attenuates the predictive effect of Internet addiction on depression.

Internet Addiction Management: A Comprehensive Review of Clinical Interventions and Modalities

Internet addiction is a pervasive and complex issue that has gained increasing attention in the digital age. This comprehensive review provides an in-depth exploration of clinical interventions and modalities for managing internet addiction. It begins by examining the diagnostic criteria and assessment tools used to identify internet addiction, highlighting the diverse subtypes and varying degrees of severity. Subsequently, the review delves into various clinical interventions, including psychotherapeutic approaches like cognitive behavioral therapy (CBT), dialectical behavior therapy (DBT), and mindfulness-based interventions. Pharmacological interventions, technology-based tools, and integrative approaches are also thoroughly analyzed. The review also outlines various treatment settings and modalities such as inpatient treatment centers, outpatient clinics, telehealth, support groups, and prevention programs for schools and communities. Furthermore, it discusses the efficacy and challenges associated with managing internet addiction, emphasizing the need for effective interventions, relapse prevention, ethical considerations, and addressing stigma and access barriers. In conclusion, the review offers practical implications for clinical practice. It emphasizes future research's importance in refining diagnostic criteria, exploring emerging technologies, and adapting interventions to an ever-evolving digital landscape. This comprehensive review is a valuable resource for clinicians, researchers, and policymakers seeking to understand and address the complexities of internet addiction.

Internet interventions and therapies for addressing the negative impact of digital overuse: a focus on digital free tourism and economic sustainability

BACKGROUND

The excessive use of information technologies (IT) and online digital devices are causing symptoms of burnout, anxiety, stress and dependency that affect the physical and mental health of our society, extending to leisure time and work relationships. Digital free tourism (DFT) is a phenomenon that emerges as a solution to technostress and pathologies derived from digital hyperconnection. The objective of this research is to advance the knowledge of new structures of motivational factors that can understand the decision of a tourist to make a DFT trip. To this end, it is investigated whether family and social engagement and health and relaxation have a positive impact on the behavioral intention of the potential tourist and whether this influences sustainability due to the importance of DFT in the new economic framework.

METHODS

With a quantitative approach, the methodology used consisted of an online questionnaire among potential travelers. IBM SPSS Statistics 22.0 statistical software was used to evaluate the data obtained and confirm the relationships of the model and the research hypotheses.

RESULTS

The results of the questionnaire assessed the contribution of each construct to the tourist's behavioral intention and the tourist's decision to make the decision to undertake a DFT experience.

CONCLUSIONS

DFT can be a driver of economic sustainability and health therapy in tourism in the digital age. This study aims to expand the lines of research on DFT and determine the complex factors that can lead a tourist to participate in the DFT experience. The results obtained can help managers of companies in the sector to offer more efficient and sustainable services that contribute to the health and wellbeing of tourists as a differentiating factor.

Validation of the Amharic version of Internet Addiction Test-20: a cross-sectional study

Background

Internet Addiction is defined as excessive internet use or poorly controlled preoccupations, impulses, or behaviors related to computer use and internet access that cause impairment or suffering. It had devastating effect on people lives, families, productivity, academic performance and rarely engaging in criminal acts like alcohol use, drug addiction, or compulsive gambling. This study aimed to investigate the psychometric properties of the Amharic version of Internet Addiction Test-20 among Addis Ababa University, College of Health Sciences medical students, Addis Ababa, Ethiopia.

Methods

A cross sectional study was carried out among 410 medical students using a convenience sampling method after stratifying them based on their year level. SPSS Version 23 was used to do Pearson's correlation coefficient to determine the convergent validity of Amharic version of IAT. We computed correlation coefficient between the aggregate scores of IAT-20 and the scores for depressive symptoms, problematic substance use, and other characteristics of participants which was assessed using Patient health questionnaire-9 (PHQ-9), Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) and questionnaire developed to assess demographic and internet use related characteristics, respectively. AMOS 23 software was used to conduct confirmatory factor analysis (CFA) to evaluate the construct validity of Amharic version of IAT. Test-retest reliability was also determined with 2 weeks interval (n = 51).

Results

The data confirmed a two-factor structure. Normed Fit Index (NFI) = 0.89, Tucker Lewis Index (TLI) = 0.91 and Comparative Fit Index (CFI) = 0.92, Root Mean Square Error Approximation (RMSEA) = 0.07, and Standardized Root Mean Residual (SRMR) =0.05 indicated a good fit model structure. There was moderate positive correlation between the aggregate scores of IAT-20 and PHQ-9 scores (r = 0.55, p < 0.00), but weak positive correlation between IAT-20 and ASSIST scores (r = 0.14, p < 0.00). IAT-20 was also found to have good internal consistency (Cronbach's alpha = 0.89 for each factor). The test-retest reliability was also good for all items (Intra Class Correlation Coefficient (ICC) > 0.30) except item 16.

Conclusion

We found that the IAT-20 is psychometrically sound and a simple screening test for Internet Addiction. However, it is important to acknowledge that further studies are necessary to replicate these findings on diverse population.

Association between internet addiction, brain structure, and social capital in adolescents

Of late, internet addiction among adolescents has become a serious problem, with increased internet use. Previous research suggests that the more people become addicted to the internet, the more they isolate themselves from society. Conversely, it has been suggested that abundant social capital (the networks of relationships among people who live and work in a particular society) protects people from becoming addicted to the internet. This study focused on the brain structure of typical adolescents (10-18 years of age) and hypothesized that the size of the left dorsolateral prefrontal cortex (DLPFC), which is thought to be associated with self-control ability, is associated with both internet addiction and social capital. Voxel-based morphometry analysis indicated that left DLPFC volume was negatively correlated with the severity of internet addiction and positively correlated with social capital. Furthermore, correlation analysis demonstrated that the severity of internet addiction and social capital were negatively correlated. The statistical association between them was no longer significant when left DLPFC volume was used as a control variable. These results suggest that the left DLPFC may mediate the relationship between social capital and internet addiction in adolescents.

Effects of internet addiction and academic satisfaction on mental health among college students after the lifting of COVID-19 restrictions in China

Background

Internet addiction (IA) among students, worsened by Coronavirus disease 2019 (COVID-19) pandemic, has become a social problem with the digitalization of school learning and many aspects of daily life. However, few studies on IA have been conducted among students after the lifting of COVID-19 restrictions in China.

Method

This large-sample, cross-sectional, online survey was conducted to explore the characteristics of IA and the association among IA, academic satisfaction, and mental health problems from December 14, 2022 to February 28, 2023 in Sichuan, China. All participants (N = 22,605) were students in colleges and universities, recruited via their teachers and professors.

Results

Of all the participants, 14,921 (66.0%) participants had IA. Participants with IA were more likely to have depression symptom, anxiety symptom, insomnia, and lifetime suicidal ideation. In addition, participants with severe IA had significantly higher rates of mental health problems (e.g., depression, anxiety, insomnia, and suicidal ideation) than those with mild IA. A significant IA-by-academic satisfactory-interaction on mental health was identified: participants with higher level of IA showed particularly severe symptom of depression, anxiety and insomnia when affected by low satisfactory of academy (p < 0.001).

Conclusion

This study reveals that IA has a significantly negative impact on mental health among college students after the lifting of COVID-19 restrictions in China. IA and academic satisfaction have interactive impacts on mental health problems among students. Further educational and health policies and psychosocial interventions should be developed to reduce IA and enhance academic satisfaction for improving students' mental health.

Sleep quality and internet addiction among junior college students; The mediating role of depression: A cross-sectional study

This study investigated the mediating effect of depression on the relationship between sleep quality and internet addiction in Taiwanese junior college students. We recruited 590 (53 males, 537 females) students, aged from 15 to 22 years from a day school of a junior college in northern Taiwan. We used a cross-sectional study design. The Chen Internet Addiction Scale, Chinese Version of the Pittsburgh Sleep Quality Index, and Adolescent Depression Scale were used as measurement instruments. Using the IBM SPSS Statistics 26 software package, descriptive statistics, reliability analysis, correlation analysis, and inferential statistics were used to evaluate the participants' demographics and relationships between the study variables. The mediation model was tested using the Z test. The prevalence of internet addiction in junior college students was 21.2 %. The indirect effects were determined using Sobel's test and bootstrapping confirming that depression completely mediated the relationship between sleep quality and internet addiction. The findings would help to build holistic and comprehensive prevention and intervention programs that should be developed to reduce the addictive behaviors of adolescents.

Prevalence and associated factors of internet addiction among Chinese adolescents: association with childhood trauma

Introduction

Internet addiction (IA) is common among adolescents and may have severe consequences. This study aimed to investigate the prevalence and factors associated with IA among middle school students of Hunan Province, China. Relevance between IA and childhood trauma was also explored.

Methods

One thousand six hundred ten students were enrolled in this cross-sectional study. Data collected included demographics; internet addiction (revised-Chen internet addiction scale); childhood trauma (CTQ-SF); depression, anxiety, and stress symptoms (DASS-21); suicidal behaviors, as well as non-suicidal self-injury (NSSI). Cramer's V analysis, univariable logistic regression and multivariable logistic regression were used for associations and identifying independent relevance of IA, respectively.

Results

The prevalence of IA was 12.8%. Cramer's V analysis showed that IA was associated with emotional abuse, emotional and physical neglect, NSSI, suicidal behaviors, stress, anxiety and depressive symptoms, physical disorder history. Regression analysis showed that IA was independently associated with emotional neglect (OR = 3.062, 95% CI: 2.083, 4.501, p < 0.001); physical neglect (OR = 2.328; 95% CI: 1.590, 3.409, p < 0.001); depressive symptoms (OR = 2.218, 95% CI: 1.467, 3.353, p < 0.001) nationality (OR = 1.888, 95% CI: 1.034, 3.447, p = 0.006) and age (OR = 1.253, 95% CI: 1.066, 1.471, p = 0.006).

Discussion

IA is common among middle school students. Attention should be paid to students with childhood trauma since they have a higher risk for IA, which may increase the risk for suicidal behaviors.

High-Risk Gaming Is Associated with Frequent Substance Use: An Exploratory Survey among Young Adults

INTRODUCTION

Internet gaming disorder (IGD) is an emerging condition within the field of behavioural addictions. IGD has been demonstrated to be highly comorbid with many other mental health disorders. Among these, substance use has been associated with IGD, and there are underlying similarities between behavioural addictions and substance use disorders. The main aims of the present study were (i) to investigate the association between high-risk gaming and substance use among young adults drawn from the general Italian population; and (ii) to explore the psychopathological correlates of high-risk gaming.

METHODS

Lifetime substance use, type of substances consumed, and frequency of use were investigated through an online survey in a sample of 913 adults aged 18-40 years. High-risk gaming was assessed using the ten-item Internet Gaming Disorder Test (IGDT-10). Psychopathology was assessed using the Revised 90-item Symptom Checklist (SCL-90-R).

RESULTS

High-risk gaming prevalence rate was 4.4%. High-risk gamers scored higher on all dimensions of psychopathology, confirming the association between high-risk gaming and psychiatric distress. Regarding substance use, high-risk gamers were more commonly polysubstance users and more commonly made use of psychodysleptic substances. High-risk gamers were more commonly frequent substance users, and 32.5% of high-risk gamers used or had used psychoactive substances often or everyday throughout their lives.

DISCUSSION AND CONCLUSION

The findings are in line with the concept of a common neurobiological vulnerability for both gaming and substance use. There is the need for more research to examine the phenomenology of gaming and its interplay with substance use to help develop effective interventions and prevention strategies.

Risk and protective factor profiles predict addictive behavior among adolescents

BACKGROUND AND AIMS

Internet gaming disorder (IGD), compulsive sexual behavior (CSB), and problematic social network usage (PSNU) are prevalent disorders among adolescents. Research indicates an increase in the number of adolescents engaging in daily gaming, sex, and the use of social networks, as well as an increase in the number of adolescents diagnosed with these disorders. The current study aims to detect unique profiles of risk and protective factors and examine whether these profiles could explain the different severities of IGD, CSB, and PSNU among adolescents.

METHOD

The sample comprised 544 Jewish Israeli adolescents from the general community (age 14-18), who were asked about risk (childhood adversity, childhood trauma, depression, anxiety, stress, post-traumatic stress, self-concealment, internalized stigma) and protective (parent-adolescent communication,) factors and addictive behaviors (IGD, CSB, and PSNU).

RESULTS

Adolescents were classified into three different clusters based on their risk and protective factors: "at risk" (n = 48, 8.82%), "moderate" (n = 400, 73.53%), and "resilient" (n = 96, 17.65%). The "at risk" group had significantly greater severity of addictive behaviors (IGD, CSB, and PSNU) than did the "moderate" or "resilient" groups, and the "moderate" group had significantly greater severity of addictive behaviors than the "resilient" group.

CONCLUSIONS

The findings highlight the fact that protective and risk factor profiles are highly indicative of various addictive behaviors among adolescents. The current research expands knowledge about addictive behaviors by providing a more individualized approach to understanding addictive behaviors among adolescents.

Negative Life Events, Negative Copying Style, and Internet Addiction in Middle School Students: A Large Two-year Follow-up Study

Through a two-year follow-up study among 2,845 middle school students, we examined the impact of baseline negative life events (NLE) on follow-up negative copying style (NCS) and Internet addiction (IA), and the mediation of NCS between NLE and IA. We found that all NLE, NCS, and IA were correlated, and that both NLE and NCS were risk factors for IA. Structural equation modeling (SEM) results showed that NLE were associated with increased NCS (β = 0.17, p < 0.01) and IA (β = 0.16, p < 0.01), that NCS was associated IA ( β = 0.33, p < 0 0.01), and that NCS partially mediated the effect of NLE on IA ( β = 0.17, p < 0.01). This large longitudinal study provided solid empirical evidence that NLE and NCS played important roles in IA among middle school students. Educators and policy makers may adopt corresponding approaches to address IA among this population.

A comprehensive review on emerging trends in the dynamic evolution of digital addiction and depression

Introduction

Using digital addiction as an umbrella term to cover any type of addictions to digital technologies such as the internet, smartphones, social media, or video games, the current study aimed to reveal the intellectual structure and evolution of research addressing digital addiction-depression relationship.

Methods

The study combined bibliometric and science mapping analysis methods for this purpose. Data for the study was gathered from Web of Science Core Collection after a comprehensive process of data search/extraction, and 241 articles were included in the final data set. A period-based, comparative science mapping analysis was performed using the SciMAT software.

Results

The analysis of data over three periods, Period 1 (1983-2016), Period 2 (2017-2019), and Period 3 (2020-2022) showed that internet addiction was the most significant theme across all three periods, which was followed by social media addiction. Depression, which emerged as a significant theme during Period 1, was later covered under anxiety disorder theme. Research interest was mostly on factors related to both addiction and depression such as cognitive distortion, insomnia, loneliness, self-esteem, social support, alexithymia, as well as cybervictimization or academic performance.

Discussion

The results suggested that much research is warranted on the digital addiction-depression relationship in different age cohorts, especially children and elderly. Similarly, the current analysis showed that this line of research particularly focused on internet, gaming and social media addiction, and evidence with regard to other types of digital addiction or related compulsive behaviors was almost absent. In addition, research was mostly inclined to understanding cause-effect relationships, which is significant, but preventive strategies seemed to be barely addressed. Likewise, the smartphone addiction-depression relationship arguably garnered less research interest, so future research would contribute to the field in this respect.

Association of Individual and Neighborhood Characteristics to Problematic Internet Use among Youths and Adolescents: Evidence from Vietnam

INTRODUCTION

This study aimed to determine latent profiles from the Problematic Internet Use Questionnaire Short Form-6 (PIUQ-SF-6) score of Vietnamese youths and adolescents, which supports the diagnosis of problematic internet use among a large sample size. Moreover, it also explored factors that affect each latent profile of the PIUQ-SF-6 score among participants.

METHODS

A sample of 1477 Vietnamese people, aged 14 to 24, across five provinces participated in the study. Multinomial logistic regression determined factors related to the levels of the Problematic Internet Use Questionnaire Short Form-6 (PIUQ-SF-6) after using latent profile analysis.

RESULTS

Participants were divided into three profiles, including those at low, moderate, and high risk of internet addiction. The high-risk latent profile was obtained for 23.1% of adolescents, and the remaining percentages were, respectively, 40.2% and 36.7% of adolescents belonging to the moderate and low-risk groups. Moreover, factors including age, living alone, high Kessler psychological distress scale, excessive time on the internet, living in central cities, and high neighborhood disorder scores were found to be related to moderate- and high-risk internet addiction profiles.

CONCLUSIONS

Factors analyzed according to individual and social characteristics further explore the reasons underlying increasing internet addiction among Vietnamese youths and inform early interventions.

An addictive disorders severity model: a chained mediation analysis using structural equation modeling

BACKGROUND

The clinical relevance of the degree of severity in addiction disorders supports the need to investigate the variables underlying this aspect of the phenomenon.

OBJECTIVE

This study aimed to explore the relationships between factors that may influence the severity of addiction disorder, with a particular focus on temperamental disinhibition, emotion dysregulation, interpersonal vulnerability, and their interactions.

METHODS

A clinical sample of 502 (77% males and 22% females) was involved. All participants received a DSM-5 clinical diagnosis of "Substance-Related and Addictive Disorders" and were recruited from the Italian National Health System. The collected data were analyzed by implementing a chained mediation model using structural equation modeling.

RESULTS

The statistical appropriateness of the hypothesized latent 4- factors model was confirmed. Specifically, temperamental disinhibition (composed of impulsiveness, compulsiveness, and obsessiveness), emotion dysregulation (composed of affect dysregulation, alexithymia, and dissociation), interpersonal vulnerability (composed of traumatic experiences, preoccupied, avoidant and unresolved attachment), and Addictive Disorders Severity (composed by substance use severity, alcohol use severity, gambling severity, and Internet use severity) were the four factors which have been identified. Furthermore, a total chained mediation model emerged, where emotion dysregulation and interpersonal vulnerability mediated the relationship between temperamental disinhibition and Addictive Disorders Severity.

CONCLUSIONS

Our findings offer a better understanding of the variables associated with addictive disorder severity, providing important indications for therapeutic interventions.

Overview on brain function enhancement of Internet addicts through exercise intervention: Based on reward-execution-decision cycle

Internet addiction (IA) has become an impulse control disorder included in the category of psychiatric disorders. The IA trend significantly increased after the outbreak of the new crown epidemic. IA damages some brain functions in humans. Emerging evidence suggests that exercise exerts beneficial effects on the brain function and cognitive level damaged by IA. This work reviews the neurobiological mechanisms of IA and describes the brain function impairment by IA from three systems: reward, execution, and decision-making. Furthermore, we sort out the research related to exercise intervention on IA and its effect on improving brain function. The internal and external factors that produce IA must be considered when summarizing movement interventions from a behavioral perspective. We can design exercise prescriptions based on exercise interests and achieve the goal of quitting IA. This work explores the possible mechanisms of exercise to improve IA through systematic analysis. Furthermore, this work provides research directions for the future targeted design of exercise prescriptions.

Prevalence of internet addiction and its impact on selected psychological parameters among UG nursing students

BACKGROUND

Currently, the use of the internet is one of the most important tools, which may lead to negative or positive impact on college or school students. The excessive use of electronic media may lead to change in the mood, an inability to resist internet usage, a diminishing social life, withdrawal symptoms while unengaged, affecting self-esteem, and adverse work or academic consequences. The main objective of this study is to explore Internet use and its impact on selected psychological parameters such as depression and insomnia among undergraduate (UG) nursing students.

MATERIALS AND METHODS

A total of 385 college students selected by purposive sampling technique were included in the study. Young's Internet Addiction Test (YIAT20) for Internet addiction (IA) assessment, and Beck's depression inventory Scale to assess level of depression, and insomnia severity index (ISI) scale to measure insomnia were used.

RESULTS

Among 385 participants, 175 and 210 were male and female, respectively. Demographic variables such as pursuing course, study year, use of Internet/day; and the purpose of Internet use such as social networking, games, entertainment, pornography, and news were significantly associated with IA. Depression and insomnia were found to be correlated with IA.

CONCLUSION

Internet usage more than the normal limit has a profound effect on college or school students, in particular, depression and insomnia. At times, it ends up in problems in their social and family relationship.

Gender differences in psychiatric comorbidity and personality characteristics among adults seeking treatment for problematic internet use

In the present study, we investigated gender differences in personality and psychiatric correlates among adults (N = 115) seeking treatment for problematic internet use (PIU) at a specialized clinic in São Paulo, Brazil. All participants were assessed at the beginning of their treatment for co-occurring psychiatric conditions, other addictive behaviors, and personality characteristics. Women (n = 20) were more likely to present with greater rates of psychiatric comorbidity compared to men (n = 95), including mood disorders, anxiety disorders, obsessive-compulsive disorder, post-traumatic stress disorder, and bulimia nervosa. Women also had a greater severity of certain behavioral addictions, such as compulsive buying and disordered eating. Gender differences were also found across personality characteristics, with women scoring higher on impulsivity, novelty seeking, and self-transcendence compared to men. To our knowledge, the present study is the first to investigate gender differences for PIU in a clinical sample. The results suggest that there are notable gender differences in individuals seeking treatment for PIU which underscores the importance of assessing for co-occurring conditions, especially in women. Understanding the characteristics associated with PIU can help serve to inform the most appropriate interventions to bolster treatment outcomes.

Cyberchondria, Anxiety Sensitivity, Hypochondria, and Internet Addiction: Implications for Mental Health Professionals

Repetitive online searches for health information increase anxieties and result in Internet addiction. Internet addiction, cyberchondria, anxiety sensitivity, and hypochondria have been studied separately, but how these concepts are reciprocally linked has not been investigated. This study aimed to determine the levels, correlations, and predictors of Internet addiction, cyberchondria, anxiety sensitivity, and hypochondria among students based on the sample's characteristics. A sample of 143 university students participated in this cross-sectional online survey. A self-reported questionnaire was employed to collect data from students. The studied concepts had moderate to high correlations with each other and with the students' characteristics. Not getting infected with the coronavirus was among the demographic factors inserted into the regression model that only predicted cyberchondria. The model of cyberchondria was significant and explained 11.5% of the variance in the score of concepts. The results of the standard regression analysis indicated that the model predicting Internet addiction accounted for 41.2% of the variability. Our unique findings indicate that cyberchondria can contribute to developing Internet addiction compared to earlier studies. The findings suggest the importance of empowering students to overcome their anxieties by managing cyberchondria and Internet addiction. Mental health professionals, namely psychiatric nurses, are at the forefront of taking preventive mental health measures on campus, such as screening and referring students who exhibit these problems to psychological support and counseling to cope with their anxieties.

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

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

Adolescent mobile phone addiction during the COVID-19 pandemic predicts subsequent suicide risk: a two-wave longitudinal study

Both the rate of mobile phone addiction and suicidality among adolescents have increased during the pandemic lockdown. However, the relationship between mobile phone addiction and suicide risk and the underlying psychological mechanisms remains unknown. This study examined the associations between mobile phone addiction in adolescents during the first month of lockdown and the suicide risk in the subsequent five months. A two-wave short-term longitudinal web-based survey was conducted on 1609 senior high school students (mean age = 16.53 years, SD = 0.97 years; 63.5% female). At Time 1 (T1), the severity of mobile phone addiction and basic demographic information was collected from Feb 24 to 28, 2020 in Sichuan Province, China (at the pandemic’s peak). Five months later, between July 11 and July 23 (Time 2, T2), mobile phone addiction, daytime sleepiness, depression, and suicidality were measured within the past five months. The regression analysis revealed that mobile phone addiction during quarantine directly predicted suicidality within the next five months, even after controlling for the effect of depression and daytime sleepiness. Meanwhile, mobile phone addiction at T1 also indirectly predicted suicidality at T2, with depression and daytime sleepiness mediating this association. Programs targeting improvement of daytime sleepiness and depressive symptoms may be particularly effective in reducing suicide risk among adolescents with mobile phone addiction.

Problematic use of digital media in children and adolescents with a diagnosis of attention-deficit/hyperactivity disorder compared to controls. A meta-analysis

Objective

Problematic use of digital media and problematic use of the internet (PUI) in particular are growing problems in the general population. Moreover, studies have shown links between PUI and symptoms of attention-deficit/hyperactivity disorder (ADHD). This meta-analysis investigated whether children and adolescents with ADHD are more often affected by PUI compared to control groups.

Method

Multiple databases (EBSCOhost, Pubmed) were reviewed. Studies were eligible if individuals (aged 6-18 years) were diagnosed with ADHD, assessed on PUI-related measures, and compared to non-clinical or/and clinical controls without a diagnosis of ADHD. Out of 3,859 identified studies, 14 studies assessing 2,488 participants met all inclusion criteria. Four meta-analyses examining time-based and scale-based measures, different informants and non-clinical vs. clinical controls using random-effects models were performed. Funnel plots were used to investigate publication bias.

Results

The analyses revealed significantly more severe PUI in individuals with ADHD compared to controls, both when PUI was assessed via rating scale (scaled-based) and via units for time (time-based measures). Different informants (self- vs. parent-rating) had no impact on results. Differences in PUI between groups with ADHD and non-clinical controls were significant, whereas differences between ADHD and clinical controls were not. Due to the high heterogeneity observed and the small sample sizes, these latter findings should be interpreted cautiously.

Conclusion

Children and adolescents with ADHD show more severe PUI compared to non-clinical controls without ADHD. However, the small number of studies does not allow for a systematic comparison between ADHD and groups with other psychopathologies.

Development and Validation of a Risk Assessment Tool for Gaming Disorder in China: The Gaming Hazard Assessment Scale

Despite the growing research interest in gaming disorder, risk screening tools developed specifically for the Chinese population are still lacking. This study aimed to construct a screening tool to evaluate the risk of gaming disorder (GD) development, by assessing the severity of GD symptoms among Chinese gamers, based on clinical expert interviews, structured interviews with GD patients, a background literature review, and IGD/GD criteria proposed by the DSM-5 and ICD-11. It introduced the Gaming Hazard Assessment Scale—a multidimensional GD risk screening tool—and evaluated the dimension structure, reliability, and validity of the scale among 959 Chinese gamers. A three-level structure, consisting of 18 items scored from 0 to 54, ultimately indicated satisfactory reliability, good validity, and acceptable model fit. The scale will help large-scale initial screening and early identification of patients with a high risk of GD. Further evaluation of the Gaming Hazard Assessment Scale in clinical settings is highly recommended.

A bidirectional association between internet addiction and depression: A large-sample longitudinal study among Chinese university students

BACKGROUND

Internet addiction (IA) is associated with adverse consequences, especially for younger people. Evidence indicates that IA is associated with depression, but no studies have yet investigated potential common vulnerability between them.

METHODS

IA (measured by the Young's 20-item Internet Addiction Test Scale) and depressive symptoms (measured by the Patient Health Questionnaire-9 Scale) among 12 043 undergraduates were surveyed at baseline and at a respective 12 month follow-up for each participant. Application of a cross-lagged panel model approach (CLPM) revealed an association between IA and depression after adjusting for demographic variables.

RESULTS

Rates of baseline IA and depression were 5.47% (95% CI: 5.07%, 5.88%) and 3.85% (95% CI: 3.51%, 4.20%), respectively; increasing to 9.47% (95% CI: 8.94%, 9.99%) and 5.58% (95% CI: 5.17%,5.99%), respectively, at follow-up. Rates of new-incidences of IA and depression over 12 months were 7.43% (95% CI: 6.95%, 7.91%) and 4.47% (95% CI: 4.09%, 4.84%), respectively. Models in the present analysis revealed that baseline depression had a significant net-predictive effect on follow-up IA, and baseline IA had a significant net-predictive effect on follow-up depression.

LIMITATIONS

The follow-up survey response rate was moderate (54.69%) in this analysis of university students. Moreover, the IAT-20 scale did not allow differentiate between specific forms of Internet activity.

CONCLUSIONS

Common vulnerability and bidirectional cross-causal effects may both contribute to the association between IA and depression, with common vulnerability likely playing a more significant role than cross-causal effects.

Social Media and the Transformation of the Physician-Patient Relationship: Viewpoint

As many as 80% of internet users seek health information online. The social determinants of health (SDoH) are intimately related to who has access to the internet and health care as a whole. Those who face more barriers to care are more likely to benefit from accessing health information online, assuming the information they are retrieving is accurate. Virtual communities on social media platforms are beginning to serve as venues for seeking health information online because peers have been shown to influence health behavior more than almost anything else. As a positive mediator of health, social media can be used as a direct or indirect mode of communication between physicians and patients, a venue for health promotion and health information, and a community support network. However, false or misleading content, social contagion, confirmation bias, and security and privacy concerns must be mitigated to realize the full potential of social media as a positive mediator of health. This paper presents the shifting dynamics of how such communities are affecting physician-patient relationships. With the intersections between the SDoH, social media, and health evolving, physicians must take into consideration these factors when establishing their relationships with patients. We argue a paradigm shift in the physician-patient relationship is warranted, one where physicians acknowledge the impacts of the SDoH on information-seeking behavior, recognize the positive and negative roles of social media as a mediator of health through the lens of the SDoH, and use social media to catalyze positive changes in the physician-patient relationship. We discuss how the physician-patient relationship must evolve to accommodate for the ever-increasing role of social media in health and to best use social media as a tool to improve health outcomes. Finally, we present a fluid and multicomponent diagram that we believe will assist in framing future research in this area. We conclude that it is ineffective and even counterproductive for physicians to ignore the relationship between social media, the SDoH and health, their impact on one another, and the effect it has on designing the medical encounter and the delivery of care under the definition of precision medicine.

Prävalenz von Internetsucht vor und während der COVID-19 Pandemie unter Studierenden der Johannes Gutenberg-Universität Mainz

Ziel der Studie Internetsucht ist eine Verhaltensstörung, von welcher v. a. Jugendliche und junge Erwachsene, unter ihnen auch Studierende an Hochschulen betroffen sind. Die COVID-19 Pandemie führte aufgrund der Maßnahmen zu ihrer Eindämmung zu starken Einbußen sozialer Beziehungen, Studium und Freizeitaktivitäten der Studierenden. Diese Studie untersuchte, wie hoch die Prävalenz der Internetsucht unter Studierenden vor und während der COVID-19 Pandemie ausfällt und welche soziodemografischen (Geschlecht, Fachgruppe) und Gesundheitsfaktoren (Depressionssymptome, Einsamkeit, Ängste, Impulsivität) mit Internetsuchtsymptomen assoziiert sind.

Methodik In der vorliegenden Studie nahmen 2 Stichproben der Studierenden der Johannes Gutenberg-Universität Mainz im Sommer 2019 (N=4351) vor und im Sommer 2020 (N=3066) während der COVID-19 Pandemie im Rahmen des Modellvorhabens „Healthy Campus Mainz-gesund studieren“ zur Prävention und Gesundheitsförderung zu verschiedenen Gesundheitsthemen und Studienbedingungen an Online-Umfragen teil. Es wurde die Prävalenz von Internetsucht erhoben und mittels logistischer Regression Zusammenhänge mit Geschlecht, Depressionssymptomen, Einsamkeit, Ängsten und Impulsivität analysiert.

Ergebnisse Die Prävalenz der Internetsucht lag 2019 bei 3,9% und lag 2020 signifikant höher bei 7,8%. Während 2019 männliches Geschlecht noch mit Internetsucht assoziiert war (OR2019=0,685, p<0,05), konnten 2020 keine Geschlechtsunterschiede mehr festgestellt werden. Sowohl vor als auch während der Pandemie gingen Depressionssymptome (OR2019=1,121, p<0,001; OR2020=1,175, p<0,001) und Einsamkeit (OR2019=1,121, p<0,001; OR2020=1,071, p<0,05) mit Internetsucht einher, während der Pandemie auch Angstgefühle (OR2020=1,156, p<0,05).

Schlussfolgerung Studierende stellen eine gefährdete Gruppe für Internetsucht dar. Während der COVID-19 Pandemie trat die Symptomatik deutlich häufiger auf als noch ein Jahr zuvor. Es müssen unbedingt geeignete Präventions- und Interventionsangebote für Studierende implementiert werden, die sowohl Internetsucht, aber auch damit einhergehende Probleme wie Depression und Einsamkeit in den Blick nehmen.

Roles of Psychosocial Factors on the Association Between Online Social Networking Use Intensity and Depressive Symptoms Among Adolescents: Prospective Cohort Study

BACKGROUND

The potential mechanisms underlying the association between online social networking use intensity and depressive symptoms are unclear and underresearched.

OBJECTIVE

We aimed to investigate the potential roles of interpersonal psychosocial factors on the association between online social networking use intensity and depressive symptoms among early adolescents.

METHODS

A total of 4237 adolescents from a 9-month longitudinal study were included. Score changes (indicated as △) for the social function use intensity (SFUI) and entertainment function use intensity (EFUI) subscales of the Online Social Networking Activity Intensity Scale and for friendship quality, perceived family support, perceived friend support, parent-adolescent conflict, social nonconfidence, and depressive symptoms were analyzed. The potential mediation effects of unfavorable psychosocial factors and suppression effects of favorable psychosocial factors on the association of △SFUI with △CES-D and the association of △EFUI with △CES-D were tested using hierarchical regression models.

RESULTS

The association between △SFUI and △CES-D was partially mediated by △mother-adolescent conflict (mediation effect size 5.11%, P=.02) and △social nonconfidence (mediation effect size 20.97%, P<.001) but partially suppressed by △friendship quality, △perceived family support, and △perceived friend support, with suppression effects of -0.011 (P=.003), -0.009 (P=.003), and -0.022 (P<.001), respectively. The association between △EFUI and △CES-D was partially mediated by △social nonconfidence (mediation effect size 30.65%, P<.001) but partially suppressed by △perceived family support and △perceived friend support, with suppression effects of -0.036 (P<.001) and -0.039 (P<.001), respectively.

CONCLUSIONS

The association between online social networking use intensity and depressive symptoms was partially mediated through the indirect increase in social nonconfidence and mother-adolescent conflict; however, better perceived social support and friendship quality would partially compensate for the harmful impact of online social networking use intensity on depressive symptoms among early adolescents.

Association between Urban Upbringing and Compulsive Internet Use in Japan: A Cross-Sectional, Multilevel Study with Retrospective Recall

The purpose of this study was to show the association between urban upbringing and compulsive internet use (CIU). The interview data of the sample (N = 2431) was obtained from the World Mental Health Japan Second Survey and a multilevel model was used to investigate the association. Multiple imputation was also conducted in this study. Growing up in a large city was significantly associated with higher Compulsive Internet Use Scale (CIUS) scores (γ = 1.65, Standard Error (SE) = 0.45) and Mild CIU + Severe CIU (Exp(γ) = 1.44; 95% Confidence Interval (CI) (1.04-2.00)) compared to growing up in a small municipality after adjusting for both sociodemographic characteristics and psychopathology. This study showed a possible association between urban upbringing and CIU. Future studies with longitudinal design are needed to better understand this association.

Problematic internet use profiles and psychosocial risk among adolescents

Objective

Although Problematic Internet Use (PIU) is an emerging area of study in psychology, little is known about the unique features of specific subgroups of internet users and their psychosocial vulnerabilities within robust and nationwide populations.

Methods

The aim of this study was to identify distinct latent groups of internet users based on their PIU risk and to compare their psychosocial outcomes. To achieve this, a nationally representative sample of adolescents of the same grade (N = 1,066, Mean_age = 13.46 years, range = 12–16) was recruited from several schools in Slovenia through stratified random sampling.

Results

A Latent Profile Analysis (LPA) revealed a two-class solution, with Class 1 (n = 853, 80%) featuring ‘low PIU risk’ participants and Class 2 (n = 213, 20%) including ‘high PIU risk’ participants. Behaviorally, the main feature of Class 1 denoted ‘time management difficulties’ while Class 2 was best characterized by ‘mood and time management issues’. Further frequentist and Bayesian analyses indicated that Class 2 presented greater psychosocial risk compared to Class 1 due to significantly higher levels of PIU (generalized and across specific PIU subfactors) coupled with lower levels of subjective well-being and self-control.

Conclusions

Contrary to what was initially envisaged, the two classes did not differ in terms of perceived quality in parent-child relationship. This study shows that PIU patterns and symptom-severity may be developmentally specific, further highlighting the need for clinically age-adjusted PIU screening practices within epidemiological and healthcare settings.

Oral Health Implications of Risky Behaviors in Adolescence

Adolescence is a time for new discoveries, which may lead teens to engage in impulsive behaviors. Although social media and the Internet have brought great benefits to the world, they can also have a negative influence on adolescents, facilitating their engagement in risky behaviors. Positive parenting and healthy friendships in adolescence have a protective effect against sensation-seeking behaviors. Dental practitioners also have a significant role in steering young patients toward healthy behaviors. They play an essential role in the early recognition, initiation of appropriate interventions, and referrals for treatment of youth at risk.

The Impact of Internet Addiction and Job Satisfaction on Mental Health Symptoms among a Sample of Portuguese Workers

Not many studies assessing the impact of internet addiction (IA) and job satisfaction (JS) on mental health symptoms (MHS) among active workers exist. Therefore, the purpose of this study was as follows: (a) to assess the presence of criteria for IA among a sample of active workers; (b) to analyze differences in IA, JS and MHS, by gender; (c) to analyze association levels among IA, JS, and MHS; and (d) to determine the predictive effect of IA and JS on MHS. In total, 1064 participants (M_age = 40.66; SD = 12.02) completed a survey containing four categories of measures: demographic information, internet addiction, job satisfaction, and mental health symptoms (anxiety and depression). Results showed a presence of 13.3% for IA among the sample. Male participants showed higher scores of IA and JS but lower scores of overall MSH than female participants did. Significant positive correlations were found between overall IA and MHS, and significant negative correlations were found between IA and JS, and MHS and JS. Hierarchical linear regression analysis showed that strong predictors of MHS were age (being older), gender (being female), not having enough economic funds, being unsatisfied with the leadership in the job, being unsatisfied with the nature of the job, and having higher scores in salience and excessive use regarding IA. In conclusion, addiction to internet technology is a risk factor with implications for occupational satisfaction and mental health.

Measuring Problematic Internet Use, Internet Gaming Disorder and Social Media Addiction in young adults: A cross-sectional study

Background

Digital technology use is nearly ubiquitous among young adults; this use provides both benefits and risks. The risks of technology use include maladaptive technology use or technology addiction. Several conceptualizations of these addictions have emerged, each with its own assessment tools. These conditions include problematic internet use (PIU), internet gaming disorder (IGD), and social media addiction (SMA). These conditions have been associated with health outcomes such as problematic alcohol use, sleep disorders, and mental illness. These maladaptive technology conditions have been most commonly studied in isolation from each other.

Objective

The aim of this study is to examine PIU, IGD, and SMA together to better inform future research approaches and provider screening practices for young adults.

Methods

This cross-sectional survey study was conducted using Qualtrics panel-based recruitment and survey hosting. We recruited US young adults aged 18-25 years. The survey assessed PIU, IGD, and SMA. Survey measures also included assessments of problematic alcohol use, sleep, depression, and anxiety. We evaluated the frequency of and overlap in positive screening scores among PIU, IGD, and SMA and modeled each condition using multivariate logistic regression. Finally, we calculated sensitivity and specificity, as well as the positive predictive value and negative predictive value of the screening tools using the most prevalent maladaptive technology type.

Results

Our 6000 participants had an average age of 21.7 (SD 2.5) years. Of these 6000 participants, 3062 (51.03%) were female, 3431 (57.18%) were Caucasian, 1686 (28.1%) were in a 4-year college program, and 2319 (38.65%) worked full time. The mean PIU score was 3.5 (SD 3.1), and 53.58% (3215/6000) of participants met the criteria for PIU. The mean IGD score was 2.7 (SD 2.6), and 24.33% (1460/6000) of participants met the criteria for IGD. The mean SMA score was 7.5 (SD 5.7), and 3.42% (205/6000) met the criteria for SMA. Across all 3 maladaptive technology use diagnoses, there were varied associations with demographic variables and similar overlap with health outcomes. The sensitivity of PIU screening to detect IGD was 82% and to detect SMA was 93%, whereas the specificity and positive predictive value were much lower (37%-54% specificity; 6%-37% positive predictive value).

Conclusions

This cross-sectional survey screened a large national sample of adolescents and young adults for PIU, IGD, and SMA to determine prevalence and overlap, demographic associations with each, and associations between these technology-related conditions and health outcomes. There was overlap across PIU, IGD, and SMA in some associated demographic variables and health outcomes. However, the patterns in the associated variables demonstrated unique qualities of each of these conditions.