The Difference in Comorbidities and Behavioral Aspects between Internet Abuse and Internet Dependence in Korean Male Adolescents

A Latent Profile Analysis of Problematic Media Device Use and Its Association With Executive Function and Behavioral Problem Among Children: A Population-Based Study

OBJECTIVE

Despite the rapid increase in problematic media device use, relatively little is known about specific characteristics and extent of problematic media device and how they relate to different psychological features.

METHODS

Data extracted from the Panel Korea Study for the Child Cohort Study were used. At the age of 9 years, media device addiction severity was assessed using the K-scale, and children's behavioral outcomes were assessed using the Child Behavior Checklist. Among children with problematic media device use (n=339), we performed latent profile analysis using the K-scale to identify subtypes of problematic media device use, and then compared the child behavioral problems and executive function according to the different subtypes of problematic media device use.

RESULTS

Children with problematic media device use were divided into class 1 (n=51), class 2 (n=138), and class 3 (n=150). Compared with classes 2 and 3, class 1 had more severe problematic media device use, including daily activity disturbance, withdrawal, and tolerance. Class 1 had the most serious behavioral problems and executive function difficulties among classes. Class 2 had greater daily activity disturbance and tolerance than those of class 3, but executive function showed no significant difference between the two classes. In logistic regression analysis, behavioral problems except for somatization were more common in class 1 than in the control group.

CONCLUSION

Results suggest that problematic media device use is associated with significant behavioral problem and executive function difficulties and underscore the need for further clinical and research attention for these specific subgroup members.

Psychometric Validation of the Internet Disorder Scale–Short Form in an Italian Adult Sample

Research examining online addictions has conceptualized generalized internet addiction as an “umbrella” term comprising the addictive use of various online activities such as gambling, gaming, pornograpgy consumption shopping, and social media use. This has led to the development of many different psychometric instruments to assess specific forms of online addiction as well as ones that assess disordered internet use more generally. One such scale is the nine-item short-form Internet Disorder Scale (IDS9-SF) based on the DSM-5 criteria for internet gaming disorder. Although the IDS9-SF has been validated in a number of languages, it has not been validated into Italian. Therefore, the present study validated the IDS9-SF utilizing an Italian-speaking sample (N = 1477). Data were initially collected from 963 participants and the sample was equally split to carry out exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) on the Italian IDS9-SF. Results showed that two items were problematic (i.e., in terms of asymmetry and kurtosis) so a slightly modified Italian IDS9-SF was developed (modifying the two items). Data were then collected from a further 514 participants to test the modified Italian IDS9-SF. The second sample was again equally split, and EFA and CFA were carried out. The modified Italian IDS9-SF was found to be a psychometrically robust measure for assessing the risk of internet disorder among Italian adults.

[Internet Addiction and Suicidality - A Comparison of Internet-Dependent and Non-Dependent Patients with Healthy Controls]

BACKGROUND

Internet addiction (IA) is associated with a high level of comorbid mental disorders and significant distress. With regard to the resulting hazardous potential, the present study examines the prevalence of suicidal ideation and behavior in a population with IA compared to a clinical and a healthy sample.

METHODS

60 patients with Internet addiction, 29 with and 31 without comorbid mental disorder were compared to an outpatient sample with other mental disorders (n=35) and 57 healthy controls regarding symptom load and suicidality.

RESULTS

48.3% of the patients with Internet addiction (with and without comorbidity) exhibited significantly more often suicidal symptoms as compared to healthy controls (3.5%). The level of both suicidal symptoms was significantly higher in all clinical samples in comparison to healthy controls , whereas no significant differences were shown between the clinical samples. For patients with Internet addiction and comorbid disorders a significant positive correlation between the level of Internet addiction and the extent of suicidal ideations were found.

DISCUSSION

The results contribute to the notion that Internet addiction is associated with an increased risk for suicidal ideation and therefore represents a serious mental illness. Internet addiction is comparable to other mental disorders in terms of symptom load, impaired quality of life and suicidality. Larger samples have to be examined to clarify the question of mediating and moderating variables with regard to suicidality.

CONCLUSION

A diagnostic workup and treatment regime for patients with Internet addiction should include an exploration of suicidality, not least because of possible risks in withdrawl.

Parenting styles, perceived social support and emotion regulation in adolescents with internet addiction

AIM

The aim of this study is to investigate parental attitudes, perceived social support, emotion regulation and the accompanying psychiatric disorders seen in adolescents who, having been diagnosed with Internet Addiction (IA), were referred to an outpatient child and adolescent psychiatric clinic.

METHODS

Of 176 adolescents aged 12-17, 40 were included in the study group. These scored 80 or higher on Young's Internet Addiction Test (IAT) and met Young's diagnostic criteria for IA based on psychiatric interviews. Forty adolescents who matched them in terms of age, gender and socio-economic level were included in the control group. The Schedule for Affective Disorders and Schizophrenia for School-Age Children (K-SADS-PL), the Parenting Style Scale (PSS), the Lum Emotional Availabilty of Parents (LEAP), the Social Support Appraisals Scale for Children (SSAS-C), the Difficulties in Emotion Regulation Scale (DERS) and the Toronto Alexithymia Scale-20 (TAS-20) were applied.

RESULTS

The results showed that the parents of adolescents with IA were more frequently inadequate in acceptance/involvement, supervision/monitoring and they had less emotional availability. The adolescents with IA had less perceived social support, greater difficulty in the identification and verbal expression of their feelings and emotion regulation. Lower parental strictness/supervision, higher alexithymia and the existence of an anxiety disorder were found to be significant predictors of IA. Internet addicted adolescents with comorbid major depressive disorder had higher levels of alexithymia and lower levels of emotional availability in their parents.

CONCLUSION

It can be concluded that strategies for the prevention and treatment of IA in adolescents should focus on improving the quality of parenting parent-adolescent relationships, enhancing perceived social support and emotion regulation while reducing the associated psychiatric symptoms in adolescents.

Lipidomic profiles disturbed by the internet gaming disorder in young Korean males

Internet Gaming Disorder (IGD) is characterized by uncontrollable and persistent playing of internet games despite the occurrence of negative consequences. Although there is a worldwide treatment demand, IGD still doesn't have an explicit biomarker. The primary goal of the study is to characterize lipidomic profiles specific to internet gaming disorder (IGD) based on liquid-chromatography Orbitrap mass-spectrometry (LC Orbitrap MS). Primarily, a total of 19 lipids were significantly dys-regulated in the IGD group compared to healthy controls. The lipidomic feature was mainly characterized by various types of phosphatidylcholines (PCs) and lyso-phosphatidylcholines (LysoPCs). Subsequent multivariate statistical model and linear regression model prioritized two LysoPCs (C16:0 and C18:0) for potential biomarker. Receiver operating characteristic (ROC) analysis demonstrated excellent performance of the combined lipid set for discriminating the IGD group from healthy controls (AUC: 0.981, 95% confidence interval: 0.958-1.000). Additional evaluation with potential confounders and clinical parameters suggested robustness and potential applicability of the outcome as biomarkers which may aid diagnosis.

Is Internet Addiction a Clinical Symptom or a Psychiatric Disorder? A Comparison With Bipolar Disorder

The general purpose of this review is to present an updated literature overview of neurobiological/clinical aspects of Internet addiction (IA), particularly of overlaps and differences with bipolar affective disorder (BPAD). Articles with clinical/neurobiological aspects of IA or similarities/differences with BPAD as main topics, from 1990 to present and written in English language, were included. Comorbidity between IA and other psychiatric disorders, including BPAD, is common. Dysfunctions in dopaminergic pathways have been found both in IA and in mood disorders. Most of investigations in IA support a chronic hypodopaminergic dysfunctional state in brain reward circuit and an excessive reward experience during mood elevation. Neuroimaging studies show prefrontal cortex abnormalities shared between addictive and bipolar patients. BPAD and IA present numerous overlaps, such as polymorphisms in nicotinic receptors genes, anterior cingulate/prefrontal cortex abnormalities, serotonin/dopamine dysfunctions, and good response to mood stabilizers. The future is to clarify diagnostic criteria to better define the IA/BPAD relationship.

Analysis of Biosignals During Immersion in Computer Games

The number of computer game users is increasing as computers and various IT devices in connection with the Internet are commonplace in all ages. In this research, in order to find the relevance of behavioral activity and its associated biosignal, biosignal changes before and after as well as during computer games were measured and analyzed for 31 subjects. For this purpose, a device to measure electrocardiogram, photoplethysmogram and skin temperature was developed such that the effect of motion artifacts could be minimized. The device was made wearable for convenient measurement. The game selected for the experiments was League of Legends™. Analysis on the pulse transit time, heart rate variability and skin temperature showed increased sympathetic nerve activities during computer game, while the parasympathetic nerves became less active. Interestingly, the sympathetic predominance group showed less change in the heart rate variability as compared to the normal group. The results can be valuable for studying internet gaming disorder.

Exploratory metabolomics of biomarker identification for the internet gaming disorder in young Korean males

The main aim of the current research is to characterize the molecular dynamics related to internet gaming disorder (IGD) using non-targeted plasma metabolite profiling based on gas-chromatography time-of-flight mass spectrometry (GC-TOF MS). IGD is a psychiatric disorder instigated by excessive and prolonged internet gaming, which shared many pathological symptoms with attention deficit hyperactivity disorder (ADHD). The prevalence of the disorder has been rapidly increased particularly in East Asia countries (5.9% in South Korea) compared to Europe or North America (0.3-1.0% in United States and 1.16% in Germany). Thus we comparably explored the correlation between plasma metabolites and internet addiction severity in IGD patients, and potential biomarker composite in combination with clinical parameters. The systematic metabolite profiling of 54 blood samples (normal user, N=28 and IGD, N=24) identified a total of 104 metabolites out of 1212 metabolic feature, and revealed unique relation of co-linearly regressed set of plasma metabolites (arabitol, myo-inositol, methionine, pyrrole-2-carboxylic acid, and aspartic acid) with internet addiction severity scale (R=0.795). In addition, orthogonal partial least squared discriminant analysis (OPLS-DA) and receiver operating characteristic (ROC) analysis identified the potential biomarker cluster that simultaneously discriminated the different types of the psychiatric status. The potential biomarker re-composite was comprehensively evaluated by a receiver operating characteristic (ROC) analysis where the AUCs were 0.890, 0.880, 1.000, and 0.935 for control, IGD, AD and IGD+AD, respectively (N=18, 19, 5, and 10) against the others. This exploratory method may provide robustness of predictive diagnosis in population screening of IGD. The identified metabolic features, the relatedness with clinical parameters, and the putative biochemical linkage will hopefully aid future pathological studies in IGD.