Proposed diagnostic criteria of Internet addiction for adolescents

Classification of internet addiction using machine learning on electroencephalography synchronization and functional connectivity

BACKGROUND

Internet addiction (IA) refers to excessive internet use that causes cognitive impairment or distress. Understanding the neurophysiological mechanisms underpinning IA is crucial for enabling an accurate diagnosis and informing treatment and prevention strategies. Despite the recent increase in studies examining the neurophysiological traits of IA, their findings often vary. To enhance the accuracy of identifying key neurophysiological characteristics of IA, this study used the phase lag index (PLI) and weighted PLI (WPLI) methods, which minimize volume conduction effects, to analyze the resting-state electroencephalography (EEG) functional connectivity. We further evaluated the reliability of the identified features for IA classification using various machine learning methods.

METHODS

Ninety-two participants (42 with IA and 50 healthy controls (HCs)) were included. PLI and WPLI values for each participant were computed, and values exhibiting significant differences between the two groups were selected as features for the subsequent classification task.

RESULTS

Support vector machine (SVM) achieved an 83% accuracy rate using PLI features and an improved 86% accuracy rate using WPLI features. t-test results showed analogous topographical patterns for both the WPLI and PLI. Numerous connections were identified within the delta and gamma frequency bands that exhibited significant differences between the two groups, with the IA group manifesting an elevated level of phase synchronization.

CONCLUSIONS

Functional connectivity analysis and machine learning algorithms can jointly distinguish participants with IA from HCs based on EEG data. PLI and WPLI have substantial potential as biomarkers for identifying the neurophysiological traits of IA.

Depression, Gaming Disorder, and Internet Addiction in Adolescents with Autism Spectrum Disorder

Adolescents with autism spectrum disorder (ASD) often have various psychiatric comorbidities, particularly depression. In recent years, gaming disorder (GD) and Internet addiction (IA) have been identified as common comorbidities of ASD. We administered three self-administered screening instruments to adolescents with ASD to assess the severity of depression, GD, and IA. The participants were 10-18-year-olds with ASD. They were asked to complete three questionnaires to assess depressive symptoms, GD, and IA: the Patient Health Questionnaire for Adolescents (PHQ-A), Ten-Item Internet Gaming Disorder Test (IGDT-10), and Internet Addiction Test (IAT). The total IGDT-10 score was calculated in two different ways: the original scoring version (IGDT-10-OV) and the modified version (IGDT-10-MV). Of the 74 respondents, 24.3% had moderate or severe depressive symptoms, 8.1% were identified as having possible GD according to the IGDT-10-OV, 39.2% were identified as having possible GD according to the IGDT-10-MV, and 27.0% were positive for IA according to the IAT. Two-group comparisons revealed that depressive symptoms were more strongly associated with IA than with GD. IA was associated with more depressive symptoms than GD. Since adolescents with ASD have difficulties with social communication, they are prone to isolation and feelings of loneliness. Longer screen times due to social isolation may be a risk factor for the development of GD/IA. Adolescents with ASD often exhibit a preference for visual processing but may struggle with verbal communication. Thus, they may find online spaces more comfortable for them to alleviate their feelings of loneliness.

Exploring smartphone utilization patterns, addiction, and associated factors in school-going adolescents: A mixed-method study

Background

Smartphone use and addiction among adolescents is an emerging public health concern. This study aimed to assess smartphone use, addiction, patterns of use, and associated factors among adolescents.

Methods

An institutional-based mixed-method study was conducted among 560 adolescents aged 15-19 years. Data were collected on smartphone use, and addiction assessed by a Short Version of the Smartphone Addiction Scale (SAS-SV), patterns of use, and correlations with demographic factors, physical health, and psychological symptoms. Statistical analysis included percentages, logistic regression, and tests of significance. A P value of < 0.05 is considered significant.

Results

Smartphone use prevalence was 89.8% [95% CI (87.09%-92.49%)], and addiction prevalence was 64% [95% CI (62.66%-72.34%)] among users. Factors associated with smartphone use are statistically significant based on adjusted odds ratios (AOR), which were urban residence [2.5 (1.8-3.8)], use of handsfree kit [2.04 (1.56-2.95)], illiterate father's education [2.7 (1.9-7.8)], illiterate [2.38 (1.98-5.7)], primary/secondary educated [2.15 (1.06-4.3)] mother's education, and addiction [3.2 (1.7-4.3)]. Addicted users showed higher use for gaming, videos, and social media (P < 0.05). No significant physical or psychological health differences were found between addicted and non-addicted groups.

Conclusions

Smartphone addiction (SA) was highly prevalent among adolescents. Use patterns, such as gaming and social media, as well as perceptions of harm, were implicated in addiction risk. Tailored interventions are required to address this emerging public health problem among adolescents.

Understanding the relationships among adolescents' internet dependence, reward, cognitive control processing, and learning burnout: a network perspective in China

Alterations in the reward and cognitive control systems are commonly observed among adolescents with internet dependence (ID), and this impairment is often accompanied by social dysfunctions, such as academic burnout. However, the intercorrelations among ID, reward, cognitive control processing, and learning burnout remain unclear. We recruited 1074 Chinese adolescents to investigate the complex interrelationships among these variables using network analysis. The resulting network revealed patterns that connected ID to the behavioral inhibition/activation system (BIS/BAS), self-control, and learning burnout; these results exhibited reasonable stability and test-retest consistency. Throughout the network, the node of BAS-drive was the critical influencing factor, and the node of self-control was the protection factor. In addition, several symptoms of learning burnout and ID were positively associated with sensitivity to punishment. As revealed by the network comparison test, the network constructed among internet dependent (ID) group differed from the network constructed among internet nondependent (IND) group not only in the edges between BIS and learning burnout but also in terms of the edges associated with learning burnout. In conclusion, this study provides insights into the complex mechanisms underlying ID among adolescents from the perspective of the network relationships between core influencing factors and negative consequences. It validates the dual-system model of risky behavior among adolescents and offers a foundation for early warning and interventions for ID in this context.

Network Structure and Clustering Analysis Relating to Individual Symptoms of Problematic Internet Use in a Community Adolescent Population

INTRODUCTION

Problematic internet use (PIU) is a psychopathology that includes multiple symptoms and psychological constructs. Because no studies have considered both network structures and clusters among individual symptoms in the context of PIU in a Korean adolescent population, this study aimed to investigate network structures and clustering in relation to PIU symptoms in adolescents.

METHODS

Overall, 73,238 adolescents were included. PIU severity was assessed using a self-rating scale comprising 20 items and 6 subscales, namely, the Internet Addiction Proneness Scale for Youth-Short Form; KS scale. Network structures and clusters among symptoms were analyzed using a Gaussian graphical model and exploratory graph analysis, respectively. Centrality of strength, closeness, and betweenness scores was also calculated.

RESULTS

Our study identified four clusters: disturbance in adaptive functioning, virtual interpersonal relationships, withdrawal, and tolerance. The symptom of confidence served as a node bridging the cluster of virtual interpersonal relationships and other clusters of withdrawal and disturbances of adaptive function. The symptom of craving served as a bridge between the clusters of withdrawal and tolerance with high betweenness centrality.

CONCLUSION

This study identified network structures and clustering among PIU symptoms in adolescents and revealed that positive experiences derived from online interpersonal relationships were an important mechanism underlying PIU. These are novel insights concerning the interconnection among multiple symptoms and related clustering for the mechanism of adolescent PIU in terms of KS-scale PIU assessment.

INSOMNet: Automated insomnia detection using scalogram and deep neural networks with ECG signals

Sleep is a natural state of rest for the body and mind. It is essential for a human's physical and mental health because it helps the body restore itself. Insomnia is a sleep disorder that causes difficulty falling asleep or staying asleep and can lead to several health problems. Conventional sleep monitoring and insomnia detection systems are expensive, laborious, and time-consuming. This is the first study that integrates an electrocardiogram (ECG) scalogram with a convolutional neural network (CNN) to develop a model for the accurate measurement of the quality of sleep in identifying insomnia. Continuous wavelet transform has been employed to convert 1-D time-domain ECG signals into 2-D scalograms. Obtained scalograms are fed to AlexNet, MobileNetV2, VGG16, and newly developed CNN for automated detection of insomnia. The proposed INSOMNet system is validated on the cyclic alternating pattern (CAP) and sleep disorder research center (SDRC) datasets. Six performance measures, accuracy (ACC), false omission rate (FOR), sensitivity (SEN), false discovery rate (FDR), specificity (SPE), and threat score (TS), have been calculated to evaluate the developed model. Our developed system attained the classifications ACC of 98.91%, 98.68%, FOR of 1.5, 0.66, SEN of 98.94%, 99.31%, FDR of 0.80, 2.00, SPE of 98.87%, 98.08%, and TS 0.98, 0.97 on CAP and SDRC datasets, respectively. The developed model is less complex and more accurate than transfer-learning networks. The prototype is ready to be tested with a huge dataset from diverse centers.

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.

Sexual stigmas among lesbian, gay, and bisexual individuals with problematic internet use and depression

Introduction

Sexual stigma causes psychological distress among lesbian, gay, and bisexual (LGB) individuals. LGB individuals are more likely to exhibit both problematic Internet use (PIU) and significant depression than are heterosexual individuals. Whether the severities of sexual stigma varied among LGB individuals with various statuses of comorbid PIU and depression warrants study. The present study aimed to investigate the differences in the experiences of familial sexual stigma (FSS), internalized sexual stigma (ISS), and sexual orientation microaggressions (SOMs) among LGB individuals with various statuses of comorbid PIU and depression.

Methods

In total, 1,000 self-identified LGB young adult individuals participated in the study. The level of PIU was assessed using the Chen Internet Addiction Scale, depression was assessed using the Center for Epidemiological Studies-Depression Scale, the experience of FSS was assessed using the Homosexuality-Related Stigma Scale, the experience of ISS was assessed using the Measure of Internalized Sexual Stigma for Lesbians and Gay Men, and the experience of sexual orientation microaggression was assessed using the Sexual Orientation Microaggression Inventory. The differences in the levels of FSS, ISS, and SOMs among the four groups [i.e., the groups with both PIU and depression (comorbid group), only depression, only PIU, and neither PIU nor depression (neither group)] were investigated using multivariate analysis of covariance.

Results

The results indicated that LGB individuals with comorbid PIU and depression reported higher levels of ISS and SOMs than did those with depression only and PIU only, respectively. Moreover, LGB individuals with PIU or significant depression had higher levels of FSS and SOMs than did those with neither PIU nor depression.

Discussion

The results of this study supported that the experiences of FSS, ISS, and SOMs were significantly associated with various levels of PIU and depression in LGB individuals.

Social anhedonia affects the trajectory of internet addiction in the college students: A latent growth curve analysis

BACKGROUND/AIM

There is growing awareness that anhedonia plays a critical role in the development of Internet Addictions (IA). However, anhedonia is a multidimensional construct and different aspects of anhedonia may exert different effects on IA. This study was designed to distinguish the effects of social anhedonia and physical anhedonia on the developmental trajectory of IA among college students.

METHODS

A total of 3577 Chinese college freshmen (Mage = 18.01, SD = 0.77; 65.4 % girls) participated in a 2-year, four waves longitudinal tracking study. The latent growth curve model (LGCM) was constructed to examine the impacts of different types of anhedonia on the developmental trajectories of IA. Gender was also added to the conditional LGCM as time-invariant variable.

RESULTS

The results of unconditional LGCM showed a U-shape developmental trajectory of IA. Social anhedonia significantly affected the intercept (β = 0.468, p < 0.001) and significantly affected the linear slope (β = -0.259, p < 0.05), but not the quadratic slope (β = 0.293, p > 0.05). Physical anhedonia was not significantly associated with intercept, linear slope and quadratic slope. There was no sex difference in both initial levels and change rate of IA.

CONCLUSIONS

Social anhedonia while not physical anhedonia has prediction effect on IA. College students with high levels of social anhedonia experienced high levels of IA at baseline, and performed a slower rate in downward trend of IA. The findings of the current study provide implications for prevention of IA in college students.

Developing Personas of Gamers with Problematic Gaming Behavior among College Students Based on Qualitative Data of Gaming Motives and Push-Pull-Mooring

Gaming is a popular but possibly problematic activity among college students. To distinguish gamers with potential problematic gaming behaviors (PGB) is crucial to mental health staff. Two studies were conducted that aimed to explore portraits of gamers with PGB in college campuses. The first study selected 20 college students, diagnosed with problematic gaming behaviors, from a longitudinal dataset and semi-structured interviews were conducted for a systematic description of long-term PGB. The second study selected four personas with the richest coding data of internet addiction and depression from 20 gamers. The profiles and life experiences of the personas showed changing processes of gaming motives and push-pull-mooring effects across the years. "Loss of purpose in life" and "desperate to escape from stress or boredom in the real world" were the important push effects. Mooring effects revealed their addiction or depression symptoms and the process of developing the addiction. The dynamics of "push", "pull", and "mooring" effects were clearly indicated in the results suggesting PGB might be a long-term coping strategy and a consequence of depression and loneliness. Dealing with depression and finding real-life goals could help PGB gamers to change the dynamics of their gaming motives and push-pull-mooring effects. The results may help develop interventions for gamers with problematic gaming behaviors.

Associations between 24-h Movement Behavior and Internet Addiction in Adolescents: A Cross-Sectional Study

OBJECTIVE

This study aimed to explore the relationship between 24-h activity behavior and Chinese adolescents' Internet addiction.

METHODS

A survey of 2045 adolescents (56.5% boys) was conducted, and adolescents' 24-h movement behavior and Internet addiction were measured via a questionnaire. Descriptive statistics were used to analyze the basic situation of the respondents; chi-square analysis was used to compare gender differences, and logistic regression was used to analyze the relationship between 24-h exercise guide entries and Internet addiction.

RESULTS

From the number of 24-h movement behavior guides, 25.3% of the children did not meet the recommended amount of any kind of activity behavior guide, while 50.4% and 21.7% of the children reached the recommended amount of one and two activity behavior guidelines, respectively; only 3.2% of the children met the recommended amount of all three activity behavior guidelines. Adolescents who did not meet the recommended 24-h activity behavior guidelines were more likely to have Internet addiction (OR = 8.46, 95 CI = 3.06-23.36), and were more likely to have one item (OR = 4.50, 95 CI = 1.64-12.39) or two items (OR = 3.12, 95 CI = 1.11-8.74).

CONCLUSIONS

Physical activity, static behavior, and sleep may all have a greater impact on adolescents' Internet addiction, among which physical activity has a greater impact on adolescents' Internet addiction. Different combinations of 24-h movement behavior have different effects on adolescents' Internet addiction.

Investigating the Association Between Adolescent Internet Addiction and Parental Attitudes

Objectives: In this study, the association between parents’ attitudes and internet addiction among adolescent high school students was investigated through some sociodemographic variables.

Methods: The research was carried out with 385 students studying in four high schools in western Turkey. Sociodemographic characteristics, parental attitude scale and internet addiction scale were used in the study. Descriptive statistics, logistic regression analysis and structural equation modeling analysis were applied.

Results: The results of multivariate logistic regression analysis demonstrated that there was a significant relationship between the combined mean score obtained from the Parental Attitude Scale and the mean score obtained from the Internet Addiction Scale, and that authoritarian parenting attitude increases the risk of internet addiction [OR = 1.70 (95% CI: 1.33–2.18)]. In the structural equation modeling analysis, the model summary fit values were determined to be at a good level (χ²/df = 2.86, GFI = 0.97, RMSEA = 0.073) regarding the relationship between parental attitude and internet addiction.

Conclusion: Adolescents’ internet addiction levels changes related to their parents’ democratic attitude evolve.

Problematic social media use and associated consequences on academic performance decrement during Covid-19

Based on the Stressor-Strain-Outcome (SSO) model, this study investigates the mechanism by which problematic social media use (PSMU) influences academic performance decrement via two psychological factors namely, technostress and exhaustion. It also identifies the social media usage characteristics of undergraduate students in Saudi Arabia during Covid-19. An online questionnaire was distributed to undergraduate social media users from Shaqra University. Analysis of the 312 responses shows that PSMU is a significant stressor affecting both technostress and exhaustion and thus reducing academic performance. Moreover, both are important mediators in the link between PSMU and decline in academic performance. WhatsApp, Snapchat, Twitter and Instagram are the most popular social media networks used by the undergraduates while Facebook and Skype are the least preferred. Roughly one-third (31.41%) of the students spend more than six hours a day on social media. The findings will help educators and other stakeholders to design appropriate interventions and strategies to minimize the unfavourable effects of social media in academia.

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.

Internet Gaming Disorder in Children and Adolescents with Attention Deficit Hyperactivity Disorder

Although Attention Deficit Hyperactivity Disorder (ADHD) has been related to an increased risk for behavioral addictions, the relationship between ADHD and Internet Gaming Disorder (IGD) is still debated. The aim of this study is to address this topic by exploring the prevalence of IGD in a consecutive sample of ADHD youth, compared to a normal control group, and by assessing selected psychopathological and cognitive features in ADHD patients with and without IGD. One hundred and eight patients with ADHD (mean age 11.7 ± 2.6 years, 96 males) and 147 normal controls (NC) (mean age 13.9 ± 3.0 years, 114 males) were included in the study and received structured measures for IGD. In the ADHD group, 44% of the sample were above the IGD cut-off, compared to 9.5% in the NC group. ADHD patients with IGD presented with greater severity and impairment, more severe ADHD symptomatology, more internalizing symptoms, particularly withdrawal/depression and socialization problems, and more prominence of addiction and evasion dimensions. A binary logistic regression showed that the degree of inattention presented a greater weight in determining IGD. These findings may be helpful for identifying, among ADHD patients, those at higher risk for developing a superimposed IGD.

Tracing 20 years of research on problematic use of the internet and social media: Theoretical models, assessment tools, and an agenda for future work

Over the past two decades, there has been increasing interest in the impact of internet use and growing concern about whether problematic use of the internet (PUI) constitutes an addiction. Despite the growing number of studies investigating PUI and PUI subtypes, its conceptualization and inclusion in a classification system have not been possible yet. Several models aimed at inspiring clinical research and practice have proposed possible mechanisms involved in PUI and problematic use of social media, and multiple self-report instruments have been consequentially developed. The diversity of theoretical models and instruments currently hinders standardized assessment procedures across studies and, in turn, their comparability. The purpose of the present overview is to highlight the current conceptualization and assessment of both PUI and problematic use of social media, in order to critically discuss the existing fragmentation in the field and the need to achieve conceptual convergence. Two suggestions for future directions are also provided, i.e., define diagnostic criteria by bottom-up and top-down processes and develop a psychobiological hypothesis including the description of higher-order mechanisms involved in PUI and not other psychopathological conditions (e.g., the multiple available internet-related cues and outcomes that may lead to parallel forms of associative learning; probabilities of obtaining internet-related reinforcements; and intrinsic motivation processes).

Internet Addiction and Sleep Problems among Russian Adolescents: A Field School-Based Study

This study aims to establish a link between disturbances in the night sleep habitus, quality of sleep, and daytime sleepiness in adolescents with Internet addiction and different types of content consumed.

METHODS

This is a cross-sectional observational study of a school sample in three large cities in Central Siberia. 4615 schoolchildren of 12-18 years old were examined. The Russian-language versions of the Chen Internet Addiction Scale, the Game Addiction Scale for Adolescents, and the Social Media Disorder Scale were used to identify Internet addiction. Questions from the Pittsburgh Sleep Quality Index questionnaire were used to assess nighttime sleep. Daytime sleepiness was assessed using the Pediatric Daytime Sleepiness Scale questionnaire.

RESULTS

Adolescents with Internet addiction go to bed and wake up late; they are characterized by a decrease in the duration of nighttime sleep, an increase in sleep onset latency, and frequent nighttime awakenings, as well as more pronounced daytime sleepiness. Among the sleep parameters studied, the indicators of daytime sleepiness and night awakening scales have the highest effect size in Internet-addicted adolescents, regardless of the media consumed.

CONCLUSION

Internet-addicted adolescents are characterized by significant disturbances in the quality of nighttime sleep and excessive daytime sleepiness, which requires appropriate psychological correction.

Brain controllability and morphometry similarity of internet gaming addiction

Internet gaming addiction (IGD) is a common disease in teenagers which usually reflects the abnormalities in brain function or structure. Several computational models have been applied to investigate the characteristic of IGD brain networks, for instance, the conception of brain controllability. The primary objective of this study was to explore the relationship between brain controllability and IGD related clinical behaviour. A sample of 101 subjects, including 49 IGD patients and 52 normal controls, were recruited to undergo MR T1 and DTI scanning. Specifically, the MR images were used to generate the white matter connectivity matrix and the morphometry similarity network. The morphometry similarity network was then divided into several communities using modular decomposition. After, average controllability, modal controllability and synchronizability were calculated through measuring the adjacency matrix. The results indicated that the IGD group had greater synchronizability and modal controllability compared to that of the control group, and different morphological-based brain communities had different controllability properties. Furthermore, the addiction demonstrated the mediating effects between nodal or modular brain controllability as well as anxiety. In conclusion, brain controllability could be a potential biomarker of IGD.

Impact of the COVID-19 lockdown on screen media use in patients referred for ADHD to child and adolescent psychiatry: an introduction to problematic use of the internet in ADHD and results of a survey

The COVID-19 outbreak and lockdown have been associated with multiple consequences for mental health, including an excessive and potentially harmful increase in screen media use. The specific consequences for children, adolescents and young adults with ADHD are still unknown. In the first part of this study, a short review of problematic use of the internet (PUI) in ADHD is presented, showing that patients with ADHD are at risk for different aspects of PUI, such as excessive gaming or problematic social media use. In the second part, we report original data of an online survey on screen media use before, during and after the lockdown completed by parents of children and adolescents clinically referred for ADHD. Parents rated children's/adolescents' media-related behavior and media time on a new screening questionnaire for PUI. Each item was rated three times, referring to the observed behavior before, during and 1-2 months after the lockdown. N = 126 parents of patients referred for ADHD aged 10-18 years participated in the study. Total media time increased by 46% during the lockdown and did not completely return to pre-Corona levels afterwards. Patients with difficulties concentrating, high irritability or deterioration of ADHD problems under lockdown spent more time with screen media than those with milder or no such problems. While the effects of the lockdown on screen media use and its negative impact on everyday life appear to be largely reversible, a small proportion of patients with ADHD apparently continue to show increased media use.

Internet addiction in adolescents: Development and validation of Internet Addiction Diagnostic Questionnaire (KDAI)

Internet addiction (IA) is an emerging behavioral problem that constitutes a major health threat to vulnerable populations, including adolescents. However, there is a paucity of IA screening tools specifically designed for adolescents, especially in Indonesia. Therefore, the current study developed and validated the IA Diagnostic Questionnaire (KDAI) in adolescents while acknowledging local cultural influences. The KDAI was conceived through extensive literature reviews, expert discussions based on Delphi methods, a face validity study, focus group discussion (N = 31) for initial reliability testing, and a recruited pilot study (N = 385) and main study (N = 643) for exploratory and confirmatory factor analyses, respectively. The multi-sample analyses demonstrated that the KDAI model with the best fit and reliability comprised a seven-factor structure, including withdrawal, loss of control, increase of priority, negative consequences, mood modification, salience, and impairment. These factors were scrutinized against domains of IA Test, and concurrent validity was ascertained. Subsequently, a receiver operating characteristic curve and area under the curve determined a cutoff score of 108 to discern adolescents with IA. Taken together, the KDAI displayed excellent psychometric indices and sensitivity as a screening tool for IA in adolescents.

Automatic identification of insomnia using optimal antisymmetric biorthogonal wavelet filter bank with ECG signals

Sleep is a fundamental human physiological activity required for adequate working of the human body. Sleep disorders such as sleep movement disorders, nocturnal front lobe epilepsy, insomnia, and narcolepsy are caused due to low sleep quality. Insomnia is one such sleep disorder where a person has difficulty in getting quality sleep. There is no definitive test to identify insomnia; hence it is essential to develop an automated system to identify it accurately. A few automated methods have been proposed to identify insomnia using either polysomnogram (PSG) or electroencephalogram (EEG) signals. To the best of our knowledge, we are the first to automatically detect insomnia using only electrocardiogram (ECG) signals without combining them with any other physiological signals. In the proposed study, an optimal antisymmetric biorthogonal wavelet filter bank (ABWFB) has been used, which is designed to minimize the joint duration-bandwidth localization (JDBL) of the underlying filters. The L₁-norm feature is computed from the various wavelet sub-bands coefficients of ECG signals. The L₁ norm features are fed to various supervised machine learning classifiers for the automated detection of insomnia. In this work, ECG recordings of seven insomnia patients and six normal subjects are used from the publicly available cyclic alternating pattern (CAP) sleep database. We created ten different subsets of ECG signals based on annotations of sleep-stages, namely wake (W), S1, S2, S3, S4, rapid eye moment (REM), light sleep stage (LSS), slow-wave sleep (SWS), non-rapid eye movement (NREM) and W + S1+S2+S3+S4+REM for the automated identification of insomnia. Our proposed ECG-based system obtained the highest classification accuracy of 97.87%, F1-score of 97.39%, and Cohen's kappa value of 0.9559 for K-nearest neighbour (KNN) with the ten-fold cross-validation strategy using ECG signals corresponding to the REM sleep stage. The support vector machine (SVM) yielded the highest value of 0.99 for area under the curve with the ten fold cross-validation corresponding to REM sleep stage.

Sex differences in prevalence, risk factors and clinical correlates of internet addiction among chinese college students

BACKGROUND

Internet addiction(IA) is now very common. However, few studies have explored the sex differences in risk factors for IA, especially among Chinese college students. This study aimed to investigate the sex differences in prevalence, risk factors and clinical correlates of IA among Chinese college students.

METHODS

A total of 8098 college students from Hunan province were recruited using a cross-sectional design and a convenience sampling method. Each student filled out the survey online anonymously, which collected their information on their socio-demographics, internet addiction(Revised Chinese internet addiction scale;CIAS-R), ADHD(Wender Utah Rating Scale and World Health Organization (WHO) Adult ADHD Self-Report Scale v 1.1 Symptom Checklist), depression(Self-reporting Depression Scale;SDS), insomnia(Athens Insomnia Scale;AIS), anxiety(Self-Rating Anxiety Scale;SAS) and suicidal behaviors through WeChat.

RESULTS

Overall, the prevalence of IA in males and females was 7.21%(259/3592) and 8.17%(368/4506), respectively. Multivariate logistic regression analysis revealed that suicidal ideation[odds ratio (OR),1.557;95% confidence interval (CI),1.083-2.240], suicide attempts(OR,2.081;95%CI:1.271-3.409), ADHD(OR,6.487;95%CI,4.697-8.959) and insomnia(OR,2.596;95%CI,1.910-3.529) were independent risk factors for male IA after controlling for confounding variables. Nationality(OR,1.507;95%CI,1.058-2.145), suicidal ideation(OR,2.012;95%CI,1.532-2.641), depression(OR,1.771;95%CI:1.071-2.930), ADHD(OR,4.497; 95%CI,3.285-6.158) and insomnia(OR,2.356;95%CI,1.813-3.061) were independent risk factors for female IA.

LIMITATION

No causal relationships could be drawn due to the cross-sectional design.

CONCLUSIONS

This study shows IA is common among both sexes. IA is significantly associated with ADHD, insomnia and suicidal behaviors in both male and female students, indicating the importance of screening IA and addressing ADHD, insomnia and suicidal behaviors to improve the mental health of college students and better prevent suicide in both sexes.

Problematic Use of the Internet in Subjects With Bipolar Disorder: Relationship With Posttraumatic Stress Symptoms

Background: Literature shows a high risk for problematic use of the Internet (PUI) in mood disorders, especially in bipolar disorder (BD). In subjects with BD, traumatic events and posttraumatic stress disorder (PTSD) are related to alcohol or substance use disorder, as well as to gambling disorder. However, little is known about the possible association between traumatic exposure and PUI. The present study was aimed at examining the relationship between PUI and trauma exposure, besides PTSD symptoms, in subjects with BD. Methods: A sample of 113 subjects with BD was screened to putative PUI. Furthermore, they completed the Trauma and Loss Spectrum Self-Report (TALS-SR) to assess traumatic events and posttraumatic stress symptoms. Results: Twenty-four subjects (21.2%) reported putative PUI. Subjects with putative PUI presented significantly higher scores in the TALS-SR domains Potentially Traumatic Events, Re-experiencing, Maladaptive coping, and Arousal, as well as in the TALS-SR total score. In a logistic regression model, a positive association emerged between Potentially Traumatic Events and Arousal TALS-SR domains and putative PUI. Conclusion: One in five patients with BD screened positive for PUI. A significant association between PUI and lifetime traumatic events as well as PTSD symptoms emerged, highlighting the relevance of the comorbidity between PTSD and PUI in subjects with BD.

Prevalence of Internet Addiction during the COVID-19 Outbreak and Its Risk Factors among Junior High School Students in Taiwan

The coronavirus disease 2019 (COVID-19) outbreak has significantly disrupted normal activities globally. During this epidemic, people around the world were expected to encounter several mental health challenges. In particular, Internet addiction may become a serious issue among teens. Consequently, this study aimed to examine the prevalence of Internet addiction and identify the psychosocial risk factors during the COVID-19 outbreak. This study was constructed using a cross-sectional design with 1060 participants recruited from among junior high school students around Taiwan using stratified and cluster sampling methods. Taiwan's first COVID-19 case was diagnosed on 28 January 2020. New cases exploded rapidly in February, and as a result, participants were surveyed during March 2 through 27 March 2020. The prevalence of Internet addiction was found to be 24.4% during this period. High impulsivity, high virtual social support, older in age, low subjective well-being, low family function, and high alexithymia was all independently predictive in the forward logistic regression analyses. The prevalence rate of Internet addiction was high among junior high school students during the COVID-19 outbreak. Results from this study can be used to help mental health organizations and educational agencies design programs that will help prevent Internet addiction in adolescents during the COVID-19 pandemic.

Systematic review and meta-analysis of epidemiology of internet addiction

BACKGROUND

The field of internet addiction has experienced significant debates on conflicting epidemiology. This meta-analysis investigated the prevalence rates of generalized internet addiction (GIA) and internet gaming disorder (IGD).

METHODS

We included 113 epidemiologic studies covering 693,306 subjects published from 1996 to 2018 (for 31 nations) that reported prevalence rates for GIA or IGD. We examined pooled prevalence of GIA and IGD and the hypothesized moderators including year, geographic regions, types of scales, and sample representativeness.

RESULTS

All 133 effect sizes included 53,184 subjects with GIA or IGD. Weighted average prevalence for GIA and IGD were 7.02 % (95 % CI, 6.09 %-8.08 %) and 2.47 % (95 % CI, 1.46 %-4.16 %) respectively. For GIA, prevalence was increased over time and prevalence rates variated among different scales. IGD prevalence was neither moderated by year, regions, nor sample representativeness.

CONCLUSIONS

The prevalence of GIA was higher than the prevalence of IGD. The GIA prevalence was increasing over time and variated with different assessments. Our results reveal that GIA may reflect a pattern of increasing human-machine interaction.

Internet gaming disorder and psychosocial well-being: A longitudinal study of older-aged adolescents and emerging adults

The American Psychiatric Association defined Internet Gaming Disorder (IGD) within Section III of the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders as a tentative disorder requiring further research. Although cross-sectional studies have suggested that IGD is closely associated with poorer psychosocial well-being, longitudinal studies scarce, and whether poorer psychosocial well-being is the cause or effect of IGD is still unclear. To address this issue, a longitudinal study including three-wave data from older-aged adolescents and emerging adults (1,054 first-year university students, age range 17-21 years, 41.2% male) was conducted. Cross-lagged panel models were tested to examine the longitudinal association between IGD and psychosocial well-being. The results suggested that IGD negatively affects variables of psychosocial well-being (i.e., self-esteem, social support, and life satisfaction), but not vice versa. The results supported the interpersonal impairment hypothesis, which conceptualizes IGD as a maladaptive response leading to poorer psychosocial well-being. Furthermore, the results also showed that IGD was negatively associated with self-esteem and social support across all three waves with gender differences across these associations and larger correlations for males in comparison to females. In conclusion, the study findings highlight that the classification of IGD as a mental health disorder is appropriate, and that the condition is a risk factor for impaired psychosocial well-being in late adolescence and early adulthood.

Relationships between internet use, deliberate self-harm, and happiness in adolescents: A Taiwan birth cohort pilot study

The potential risk of internet use on adolescents' self-harm is a major concern. Vulnerable adolescents who are susceptible to bullying are also susceptible to the negative influence of the internet. In this study, the pathway associations were investigated between the risk factors of deliberate self-harm, experience of being bullied, internet use, and protective factors of maternal monitoring on perceived happiness of 12- and 13-year-old adolescents in the Taiwan Birth Cohort Pilot Study dataset (n = 1,457). The Chinese Oxford Happiness Questionnaire was used to measure the adolescents' self-perceived levels of happiness, in two dimensions of social adaptation status and psychological well-being. Our results show that 354 (24.3%) of the 12-year-olds reported having been bullied, and 289 (19.8%) of the 13-year-olds reported this. Seventy-nine (5.4%) of 13-year-olds reported deliberate self-harm in the past year. Results of a structural equation model showed that those who had been bullied at age 12 years were at greater risk of deliberate self-harm at age 13 years. A negative association was found between duration of internet use and perceived level of happiness. Adolescents who spent >5 h online during days off school were at higher risk of deliberate self-harm, and perceived a lower level of happiness. Therefore, spending >5 h online during days off school could be used as an indicator in future preventive action programs to screen out those at a high risk of excessive internet use, deliberate self-harm, and psychological well-being and social adjustment issues.

Passive objective measures in the assessment of problematic smartphone use: A systematic review

Research focussing on problematic smartphone use has predominantly employed psychometric tests which cannot capture the automatic processes and behaviours associated with problematic use. The present review aimed to identify passive objective measures that have been used or developed to assess problematic smartphone use. A systematic search was conducted using Web of Science, Scopus, PsychInfo and PubMed databases to identify passive objective measures that have been employed to assess problematic smartphone use, resulting in 18 studies meeting the inclusion criteria. Objective data that were monitored predominantly focussed on general screen usage time and checking patterns. Findings demonstrate that passive monitoring can enable smartphone usage patterns to be inferred within a relatively short timeframe and provide ecologically valid data on smartphone behaviour. Challenges and recommendations of employing passive objective measures in smartphone-based research are discussed.

Relationship between anxiety, depression, sex, obesity, and internet addiction in Chinese adolescents: A short-term longitudinal study

Associations between anxiety, depression and adolescent Internet addiction have been well documented in the literature; however, few published studies have examined these relationships considering the developmental trajectory courses of adolescent Internet addiction as well as the individual differences over time. Using a sample of 1545 Chinese adolescents and 3 waves of data over six months, we examined the longitudinal associations between anxiety and depression and Internet addiction, considering sex and obesity. We used latent growth curve modeling (LGCM) to examine the overall conditions of Internet addiction, and latent class growth modeling (LCGM) to determine adolescent developmental membership for Internet addiction. Both unconditional and conditional models were performed. Anxiety and depression were analyzed as time-varying variables, and sex and obesity as time-invariants in our conditional models. Overall, there was a linear decline in adolescent Internet addiction over the six months. Anxiety and depression positively predicted adolescent Internet addiction. Two developmental trajectory patterns for Internet addiction were determined (i.e., low/declining, high/declining). Anxiety was associated with adolescent Internet addiction for both groups of adolescents, but depression was associated with Internet addiction only for adolescents who followed a low/declining course of Internet addiction. Boys reported a higher mean score of Internet addiction at the initial status than girls, and boys also had a faster, declining rate of change over the six months than girls. Obesity was not a predictor of Internet addiction. The results spoke to the importance of considering mental health problems and sex in any intervention efforts to reduce adolescent Internet addiction. Limitations of the study were discussed.

Prevalence of internet addiction and its risk and protective factors in a representative sample of senior high school students in Taiwan

The aim of this study investigated the prevalence of Internet addiction (IA) in a large representative sample of secondary school students and identified the risk and protective factors. Using a crosssectional design, 2170 participants were recruited from senior high schools throughout Taiwan using both stratified and cluster sampling. The prevalence of IA was 17.4% (95% confidence interval, 15.8%-19.0%). High impulsivity, low refusal self-efficacy of Internet use, high positive outcome expectancy of Internet use, high disapproving attitude of Internet use by others, depressive symptoms, low subjective well-being, high frequency of others' invitation to Internet use, and high virtual social support was all independently predictive in the logistic regression analysis. The prevalence of IA among secondary school students in Taiwan was high. Results from this study can be used to help educational agencies and mental health organizations create policies and design programs that will help in the prevention of IA in adolescents.

Correlations of Internet Addiction Severity With Reinforcement Sensitivity and Frustration Intolerance in Adolescents With Attention-Deficit/Hyperactivity Disorder: The Moderating Effect of Medications

Background: Deviations in reinforcement sensitivity and frustration-related reactions have been proposed as components of the biopsychosocial mechanisms, which explained the high vulnerability to internet addiction (IA) among individuals with attention-deficit/hyperactivity disorder (ADHD). There is currently limited knowledge on the relationship of IA symptoms with reinforcement sensitivity and frustration intolerance, as well as factors moderating those correlations in this population. Objective: The aims of this study were (1) to examine the associations of IA symptoms severity with reinforcement sensitivity and frustration intolerance and (2) identify the moderators of these associations among adolescents diagnosed with ADHD in Taiwan. Methods: A total of 300 adolescents aged between 11 and 18 years who had been diagnosed with ADHD participated in this study. Their levels of IA severity, reinforcement sensitivity, and frustration intolerance were assessed using the Chen Internet Addiction Scale, behavioral inhibition system (BIS) and behavioral approach system (BAS), and Frustration Discomfort Scale, respectively. The associations of IA severity with reinforcement sensitivity and frustration intolerance were examined using multiple regression analysis. Possible moderators, including medications for ADHD, were tested using the standard criteria. Results: Higher fun seeking on the BAS (p = .003) and higher frustration intolerance (p = .003) were associated with more severe IA symptoms. Receiving medication for treating ADHD moderated the association between fun seeking on the BAS and severity of IA symptoms. Conclusion: Fun seeking on the BAS and frustration intolerance should be considered as targets in prevention and intervention programs for IA among adolescents with ADHD.

Relationship of internet addiction severity with probable ADHD and difficulties in emotion regulation among young adults

The aim of the present study was to evaluate relationship of Internet addiction (IA) symptom severity with probable attention deficit/hyperactivity disorder (ADHD) and difficulties in emotion regulation, while controlling the effects of depression, anxiety and neuroticism. The study was conducted with online survey among 1010 volunteered participants of university students and/or amateur or professional gamers. Scale scores were higher among the group with high probability of ADHD (n = 190, 18.8%). In linear regression analysis, both Inattentiveness and hyperactivity/impulsivity dimensions of ADHD were related with the severity of IA symptoms, together with depression and non-accept dimension of the Difficulties in Emotion Regulation Scale (DERS). Similarly, presence of probable ADHD was related with the severity of IA symptoms in ANCOVA, together with depression, neuroticism and non-accept dimension of DERS. Participants were two different groups of non-clinical samples and all scales were self-rated. Also common comorbidities were not screened. Finally, since this study is cross-sectional the findings of this study cannot address the causal relationships among the primary constructs of interest. These findings suggest that the presence of probable ADHD is related with the severity of IA symptoms, together with the difficulties in emotion regulation, particularly non-accept dimension, depression and neuroticism among young adults.

Prevalence rate of Internet addiction among Japanese college students: Two cross-sectional studies and reconsideration of cut-off points of Young's Internet Addiction Test in Japan

AIM

Due to variation in estimates of the prevalence of Internet addiction (IA) in prior research, we conducted two cross-sectional studies over 2 years investigating the prevalence rate of IA in college students in Japan and reconsidered appropriate cut-off points of a self-rating scale to screen possible IA.

METHODS

This study was composed of two parts: survey I in 2014 and survey II in 2016, which were conducted in the same schools with an interval of 2 years. The study questionnaire included questions about demographics and Internet use, and Young's Internet Addiction Test (IAT). Additionally, the subjects in survey II were asked about self-reported IA.

RESULTS

There were 1005 respondents in total with a mean age (± SD) of 18.9 ± 1.3 years. The mean IAT scores remained stable between 2014 and 2016: 45.2 ± 12.6 in survey I and 45.5 ± 13.1 in survey II (overall mean IAT score of 45.4 ± 13.0). With respect to self-reported IA in survey II, a total of 21.6% admitted to having IA (score of 5 or 6 on a 6-point Likert scale). We categorized these subjects as IA, and the remainder as non-IA. The mean IAT score showed a significant difference between these two groups (57.8 ± 14.3 vs 42.1 ± 10.7, P < 0.001).

CONCLUSION

The severity of IA symptoms among Japanese college students has appeared stable in recent years, with mean IAT scores of over 40. Our results suggest that a screening score cut-off of 40 on the IAT could be reconsidered and that 50 might be proposed for the cut-off.

Relationship of internet addiction with depression and academic performance in Indian dental students

Background and aims

Internet addiction (IA) has negative consequences on the mental health and affects daily activities. This study was conducted with the aim to assess the prevalence of Internet addiction among dental university students and to determine if there is any relationship of excessive Internet use with depression and academic performance among students.

Methods

This was a cross sectional study which included 384 dental students from different academic years. A questionnaire was prepared that collected information on demographic characteristics, pattern of Internet use, duration of use, and most common mode of Internet access. Internet addiction was assessed using Youngs Internet Addiction test. Depression was assessed using Becks depression inventory [BDI-1].

Results

The prevalence of Internet addiction and depression was found to be 6% and 21.5% respectively. The first year students showed the highest mean Internet addiction (17.42±12.40) score. Chatting was the main purpose for Internet use. Logistic regression analysis showed that individuals who were depressed (Odds Ratio=6.00, p value<0.0001*) and scored less than 60% marks (Odds Ratio=6.71, p value<0.0001*) were more likely to be addicted to Internet.

Conclusion

The addiction to internet has negative impact on mental health and academic performance. These high risk group students should be identified and psychological counseling should be provided.

Positive outcome expectancy mediates the relationship between social influence and Internet addiction among senior high-school students

Background and aims Based on the foundations of Bandura's social cognitive theory and theory of triadic influence (TTI) theoretical framework, this study was designed to examine the mediating role of positive outcome expectancy of Internet use in the relationship between social influence and Internet addiction (IA) in a large representative sample of senior high-school students in Taiwan. Methods Using a cross-sectional design, 1,922 participants were recruited from senior high schools throughout Taiwan using both stratified and cluster sampling, and a comprehensive survey was administered. Results Structural equation modeling and bootstrap analyses results showed that IA severity was significantly and positively predicted by social influence, and fully mediated through positive outcome expectancy of Internet use. Discussion and conclusions The results not only support Bandura's social cognitive theory and TTI framework, but can also serve as a reference to help educational agencies and mental health organizations design programs and create policies that will help in the prevention of IA among adolescents.

Internet-Related Disorders: Development of the Short Compulsive Internet Use Scale

The addiction treatment system only reaches a small number of individuals suffering from Internet-related disorders. Therefore, it is important to improve case detection for preventive measures and brief interventions. Existing screening instruments are often time-consuming and rarely validated using clinical criteria. The aim of this study is to develop an optimized short screening for problematic Internet use and Internet addiction (IA). A regression analysis was conducted in random subsamples of a merged sample (N = 3,040; N = 1,209) to examine the item performance of the Compulsive Internet Use Scale (CIUS). Based on the results, a short version of the CIUS was developed and compared with the original CIUS. A fully structured diagnostic interview, covering the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) criteria for the Internet gaming disorder with a broader focus on all Internet activities, was conducted. A five-item version of the short screening performed best across the samples. Comparing the area under the curve (AUC) of the receiver operating characteristic between the Short CIUS and the original test revealed no significant difference (AUC = 0.968; 0.977). A cutoff point of 7 turned out to perform best for case detection and yielded a sensitivity of 0.95 and a specificity of 0.87, Cronbach's alpha was 0.77. The analysis showed that the performance of the Short CIUS is just as good in detecting problematical Internet use and IA as the performance of the original CIUS. The Short CIUS provides an economical and valid instrument for the assessment of problematic Internet use and IA.

The effects of using social network sites on academic performance: the case of Qatar

Purpose

Social network sites (SNSs) have been common applications attracting a large number of users in Qatar. Current literature remains inconclusive about the relationship between SNS usage and users’ academic performance. While one stream confirms that SNS usage may lead to addiction and seriously affect individuals’ academic performance, other studies refer to SNS as learning enablers. The purpose of this paper is twofold: first, it investigates the SNS usage profiles among the young generation in the Gulf Cooperation Council (GCC) represented by Qatar; second, it examines the relationship between the identified SNS usage profiles and their respective users’ academic performance.

Design/methodology/approach

The study follows a quantitative survey-based method that was adapted from Chen’s internet Addiction Scale to fit the context of social networks. Data were collected from students of two universities in Qatar, one private and another public. Respondents’ grade point average was also collected and compared across the different usage profiles to understand how SNS usage behavior affects academic performance.

Findings

Results reveal that there is no linear relationship between SNS usage and academic performance. Therefore, this study further investigates SNS usage profiles and identifies three groups: passive (low usage), engaged (normal usage) and addicted (high usage). It was found that engaged users demonstrate significantly higher academic performance than their passive and addicted peers. Moreover, there is no significant difference in the academic performance between passive and addicted users.

Research limitations/implications

This study is cross-sectional and based on self-reported data collected from university students in Qatar. Further research venues could employ a more general sample covering a longer period, differentiating between messaging tools (e.g. WhatsApp) and other pure SNS (e.g. Twitter), and to cover other aspects than just academic performance.

Originality/value

This study complements research efforts on the influence of technology on individuals and on the society in the GCC area. It concludes that engaged SNS users achieve better academic performance than the addicted or passive users. Contradicting the strong linear relationship between SNS and performance, as claimed by previous studies, is the main originality of this paper.

Internet and Video Game Addictions: Diagnosis, Epidemiology, and Neurobiology

In the past 2 decades, there has been substantial increase in availability and use of digital technologies, including the Internet, computer games, smart phones, and social media. Behavioral addiction to use of technologies spawned a body of related research. The recent inclusion of Internet gaming disorder as a condition for further study in the DSM-V invigorated a new wave of researchers, thereby expanding our understanding of these conditions. This article reviews current research, theory, and practice regarding the diagnosis, epidemiology, and neurobiology of Internet and video game addictions.

The theoretical underpinnings of Internet addiction and its association with psychopathology in adolescence

This paper reviews the psychological and theoretical underpinnings that might help to explain the reported relationship between Internet addiction (IA) and psychopathology in both children and adolescents. Drawing on cognitive-behavioural models and social-skills theory, IA shows a strong relationship with depression, attention deficit hyperactivity disorder (ADHD) and time spent using the Internet use. Mixed findings are reported for social anxiety. Loneliness and hostility were also found to be associated with IA. Gender and age moderated these relationships with greater psychopathology generally reported among males and younger Internet users. This paper adds to the growing body of literature showing an association between IA and a range of mental health problems in both children and adolescents. A dependence on the Internet can potentially result in significant harm both socially and psychologically. While research has identified a potential pathway commencing with mental health problems and concluding with IA, few studies have examined the alternative direction and this may provide the impetus for future research endeavours.

Cross-sectional and longitudinal epidemiological studies of Internet gaming disorder: A systematic review of the literature

AIM

The diagnostic criteria of Internet gaming disorder (IGD) have been included in section III of DSM-5. This study aims to systematically review both cross-sectional and longitudinal epidemiological studies of IGD.

METHODS

All publications included in PubMed and PsychINFO up to May 2016 were systematically searched to identify cross-sectional studies on prevalence and longitudinal studies of IGD. In the process of identification, articles in non-English languages and studies focusing solely on the use of gaming were excluded, and those meeting the methodological requirements set by this review were included. As a result, 37 cross-sectional and 13 longitudinal studies were selected for review.

RESULTS

The prevalence of IGD in the total samples ranged from 0.7% to 27.5%. The prevalence was higher among males than females in the vast majority of studies and tended to be higher among younger rather than older people in some studies. Geographical region made little difference to prevalence. Factors associated with IGD were reported in 28 of 37 cross-sectional studies. These were diverse and covered gaming, demographic and familial factors, interpersonal relations, social and school functioning, personality, psychiatric comorbidity, and physical health conditions. Longitudinal studies identified risk and protective factors, and health and social consequences of IGD. The natural course of IGD was diverse but tended to be more stable among adolescents compared to adults.

CONCLUSION

Although existing epidemiological studies have provided useful data, differences in methodologies make it difficult to compare the findings of these studies when drawing consensus. Future international studies using reliable and uniform methods are warranted.

Development of short-form and screening cutoff point of the Smartphone Addiction Inventory (SPAI-SF)

Smartphone addiction is considered a form of technological addiction that has attracted increasing attention. The present study developed and validated the short-form Smartphone Addiction Inventory (SPAI-SF) and established cutoff point for screening smartphone addiction based on diagnostic criteria established by psychiatric interview. A total of 268 participants completed an online survey that collected demographic data, smartphone use behaviours, and responses to the 26-item SPAI. Each participant also completed a psychiatric interview. Confirmatory factor analysis (CFA) revealed that the 10-item SPAI-SF replicated the structure of original 26-item SPAI accurately, yielding a four-factor model consisting of compulsive behaviour, functional impairment, withdrawal, and tolerance. For maximal diagnostic accuracy, a cutoff point of 24/25 best discriminated cases of smartphone addiction from diagnostic negatives. The present findings suggest that both the 26-item SPAI and SPAI-SF manifest the four constructs of behavioural addiction and the characteristics of smartphone addiction. The cutoff point determined by psychiatrists' diagnostic interview will be useful for clinical screening and epidemiologic research.

Social skills deficits and their association with Internet addiction and activities in adolescents with attention-deficit/hyperactivity disorder

Background and aims The aims of this study were to examine the association between social skills deficits and Internet addiction and activities in adolescents with attention-deficit/hyperactivity disorder (ADHD) as well as the moderators for this association. Methods A total of 300 adolescents, aged between 11 and 18 years, who had been diagnosed with ADHD participated in this study. Their Internet addiction levels, social skills deficits, ADHD, parental characteristics, and comorbidities were assessed. The various Internet activities that the participants engaged in were also examined. Results The associations between social skills deficits and Internet addiction and activities and the moderators of these associations were examined using logistic regression analyses. Social skills deficits were significantly associated with an increased risk of Internet addiction after adjustment for the effects of other factors [odds ratio (OR) = 1.049, 95% confidence interval (CI) = 1.030-1.070]. Social skills deficits were also significantly associated with Internet gaming and watching movies. The maternal occupational socioeconomic levels of the participants moderated the association between social skills deficits and Internet addiction. Conclusions Social skills deficits should be considered targets in prevention and intervention programs for treating Internet addiction among adolescents with ADHD.