Network analyses of internet gaming disorder symptoms and their links with different types of motivation

Comorbidity among symptoms of internet gaming disorder, social withdrawal, and depression in 3430 young people in Hong Kong: A network analysis

BACKGROUND

The present study aimed to examine the comorbidity among symptoms of internet gaming disorder (IGD), social withdrawal, and depression using the network perspective.

METHODS

An online survey recruited 3430 young people in Hong Kong (mean age = 19.4 years, 80.5 % male) via gaming channels in 2019. The participants completed the 9-item IGD Scale, Hikikomori Questionnaire, and Patient Health Questionnaire-9. Network analysis was conducted using R to estimate the central symptoms of IGD and depression in individual networks and identified the bridge symptoms in combined network of IGD, social withdrawal, and depressive symptoms.

RESULTS

All network models showed high stability. 'Withdrawal', 'Loss of control', and 'Tolerance' were the central IGD symptoms, while 'Depressed mood' and 'Self-blame/guilt' were the central depressive symptoms. The bridge symptoms were 'Gaming as escape or mood relief' from IGD cluster, 'Depressed mood' and 'Self-blame/guilt' from depression cluster, and 'Marked social isolation at home' and 'Significant distress due to social isolation' from social withdrawal cluster. The combined network showed no significant differences in network structure and global strength across gender and age groups.

LIMITATIONS

The cross-sectional sample only indicated undirected associations between the symptoms in the three clusters and could not model the intra-individual variation.

CONCLUSIONS

The present study provided the first results on the comorbidity among IGD, social withdrawal, and depression at a symptom level among Chinese young people via network analysis. The bridge symptoms highlight potential targets for interventions of comorbidity among the disorders.

White matter tract density index is associated with disability in multiple sclerosis

BACKGROUND

The association between common neuroradiological markers of multiple sclerosis (MS) and clinical disability is weak. Given that the disability in patients with MS may depend on the underlying structural connectivity of the brain, our study aimed to examine the association between white matter tracts affected by MS and the patients' disability using a new tract density index (TDI).

METHOD

This study included 53 patients diagnosed with MS, examined between 2019 and 2020. Manual lesion segmentation was performed on fluid-attenuated inversion recovery (FLAIR) images, and the density of white matter tracts encompassing the lesion (i.e., TDI) was calculated. Correlation analysis was employed to assess the association between TDI and disability. Additionally, the relationship between disability, TDI, and lesion-derived network metrics was examined by computing a partial correlation network.

RESULTS

The TDI significantly correlated with the expanded disability status scale (EDSS) (r = 0.30, p = 0.03). Furthermore, the patient's disability is linked solely through TDI to lesion-derived network metrics -a key metric that 'bridges' the gap between the brain lesion and disability.

CONCLUSIONS

In this study, MS lesions encompassing regions with high white matter tract density were associated and linked with severe physical disability. These findings indicate that TDI may be an outcome predictor that may connect radiologic findings to clinical practice.

Unravelling the intricacies between gaming motivations and internet gaming disorder symptoms in adolescents: a network analysis of 2-year healthy and deteriorating transition profiles

BACKGROUND

The increasing prevalence of internet gaming disorder (IGD) among adolescents has become a global concern, while gaming plays a large role in many adolescents' lives. While prior research emphasised the significance of investigating IGD through an etiological lens, the interconnections between diverse gaming motivations and IGD symptoms in adolescents remain inadequately understood. This study explored the associations between distinct gaming motivations and IGD symptoms by conducting network analysis in adolescents.

METHODS

Data from a two-year longitudinal school-based survey (N = 2148) was utilized. LPA was used to offer a straightforward and interpretable solution for identifying adolescents with two-year healthy and deteriorating transitions of IGD profiles. Subsequently, we conducted a network analysis to explore and compare the associations between gaming motivations and IGD symptoms in adolescents with two-year healthy transition profiles and deteriorating transition profiles.

RESULTS

Three profiles were delineated: 'low IGD' (T1: n = 808, 37.62%; T2: n = 731; 34.03%), 'middle IGD' (T1: n = 1063, 49.49%; T2: n = 1103, 51.35%), and 'severe IGD' (T1: n = 277, 12.89%; T2: n = 314, 14.62%), classifying adolescents with healthy transitions and those with deteriorating transitions. Three gaming motivations (i.e., 'Daily entertainment', 'I am good at it', and 'Improvement of ability and mindset') were identified as protective motivations. Two others, 'Enjoy being in the gaming world' and 'Preoccupation', were identified as bridge nodes in adolescents with deteriorating transitions. Three core nodes (i.e., 'Sense of victory', 'Enjoy being in the gaming world', and 'Sense of achievement') were identified in both adolescents with healthy profile transitions and deteriorating transitions.

CONCLUSION

Findings suggest that not all gaming motivations contribute to the development of IGD in adolescents. Adolescents with deteriorating transitions showed specific gaming motivation and IGD symptom that is closely connected. Future interventions should consider corresponding gaming motivation when addressing IGD among adolescents.

Using network analysis to explore the validity and influential items of the Parkinson's Disease Questionnaire-39

Quality of life (QoL) in people with Parkinson´s disease (PD) is commonly measured with the PD questionnaire-39 (PDQ-39), but its factor structure and construct validity have been questioned. To develop effective interventions to improve QoL, it is crucial to understand the connection between different PDQ-39 items and to assess the validity of PDQ-39 subscales. With a new approach based on network analysis using the extended Bayesian Information Criterion Graphical Least Absolute Shrinkage and Selection Operator (EBICglasso) followed by factor analysis, we mostly replicated the original PDQ-39 subscales in two samples of PD patients (total N = 977). However, model fit was better when the "ignored" item was categorized into the social support instead of the communication subscale. In both study cohorts, "depressive mood", "feeling isolated", "feeling embarrassed", and "having trouble getting around in public/needing company when going out" were identified as highly connected variables. This network approach can help to illustrate the relationship between different symptoms and direct interventional approaches in a more effective manner.

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

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

Role of Gaming Devices Associated With Internet Gaming Disorder in China: Cross-sectional Study

BACKGROUND

Chinese gamers use computer and mobile phone games widely. Consequently, concerns regarding the development of internet gaming disorder (IGD) in adolescents have been raised. However, only a few studies have focused on the influence of gaming devices on IGD.

OBJECTIVE

This study aims to compare sociodemographic information, gaming use characteristics, personality traits, and gaming motivations between computer game users (CGUs) and mobile phone game users (MGUs), as well as identifying IGD predictors.

METHODS

This was a cross-sectional study. A total of 3593 internet game players took part in an online survey, which included sociodemographic information, gaming patterns, gaming motivations, the Chinese version of the Video Game Dependency Scale, and the Chinese Big Five Personality Inventory brief version. The population was divided into 2 groups for comparison by mobile phone or computer use, and the IGD population was also compared within the 2 groups.

RESULTS

There were significant differences between the 2 gaming device groups in the time (t₂₉₉₄=7.75, P<.001) and money (t₂₉₉₄=5.11, P<.001) spent on gaming and in internet game addiction scores (t₂₉₉₄=3.68, P<.001). Individuals using different gaming devices had different game motivations and personality traits and preferred different genres of games. Results showed that IGD predictors were different for the 2 groups, for example, strategy (odds ratio [OR] 4.452, 95% CI 1.938-10.227; P<.001) and action shooter (OR 3.725, 95% CI 1.465-9.474; P=.01) games increased the risk for MGUs.

CONCLUSIONS

Gaming devices should be considered during early identification, such as long daily gaming time, much money spent on gaming, neuroticism, and conscientiousness. In addition, more research should be conducted on new gaming devices and IGD treatment.