Exploring the connection between playing video games and watching video game streaming: Relationships with potential problematic uses

Internet Use Behavior and Adolescent Mental Health: The Mediating Effects of Self-Education Expectations and Parental Support

Purpose

This study focuses on how Internet use behavior affects adolescents' mental health and whether self-education expectations and parental support mediate the relationship between Internet use behavior and adolescents' mental health.

Methods

The data for this paper came from the results of the student questionnaire of the 2018 Programme for International Student Assessment (PISA 2018), which was a structured questionnaire that asked students about their family situation, school life, studies, internet use, and mental health, among other things. A sample of 336,600 children in grades 7-13 was selected for this study. The data were analyzed using STATA version 16 and the theoretical framework was tested using a mediated effects model.

Results

The results of the study showed that Internet use behavior made a positive contribution to mental health and the mediating effects of self-education expectations and parental support on the relationship between Internet use behavior and adolescent mental health were all significant.

Conclusion

It is recommended that appropriate policies should be formulated to help adolescents use the Internet rationally, and the positive effects of parental support and self-education expectations should be utilized.

It's not just about how long you play. Indirect gaming involvement and genre preferences in predicting gaming disorder risk: evidence from preregistered studies

Introduction

The strength of the association between gaming involvement and gaming disorder is weak to moderate. Gamers cannot be directly involved in gaming all the time, but how much they are involved in activities indirectly related to gaming during gaming-free time may play an important role. Also, specific game genres may matter. The present investigation focuses on the role of indirect gaming involvement and genres in gaming disorder risk prediction.

Methods

Two pre-registered studies were conducted. Study 1 (N = 205) was conducted online, whereas Study 2 (N = 250) was conducted in a lab. In both cases, participants reported their direct and indirect involvement in gaming (DGI and IGI, respectively) and completed a screening tool that estimates the risk of gaming disorder (Gaming Disorder Test).

Results

Both IGI and DGI were weakly to moderately correlated with gaming disorder (GD) and moderately with each other. The correlations between DGI and GD were similar to those obtained in related studies; the correlation between IGI and GD has not been previously reported. Hierarchical regression that took IGI together with DGI into account showed an increase in the percentage of explained variance, but only in Study 1. Contrary to expectations, IGI did not interact with DGI. As is consistent with previous research, some game genres were found to be more closely related to GD than others: in both studies, this was an RPG; in Study 1, this was also an MMORPG; in Study 2, driving and shooting games also predicted GD risk.

Discussion

Overall, the results clearly indicate that not only gaming time plays a role in GD risk assessment: IGI can also predict it and in some cases may allow for more accurate predictions. Gaming genres once again proved to play a role, but these and similar results should be treated with caution due to the partial lack of repeatability.

Examining the Predictors of Video Game Addiction According to Expertise Levels of the Players: The Role of Time Spent on Video Gaming, Engagement, Positive Gaming Perception, Social Support and Relational Health Indices

This study aimed to examine the predictive relationship between video gaming addiction (VGA) and the level of video gaming competency among video gamers. Additionally, the role of time spent playing video games, video game engagement (VGE), video game positive perception (VGPP), social support and quality of relationships with peers were examined. We recruited 227 participants using the purposive sampling method. Of the participants, 50.20% self-identified as Novice-Amateur video gamers while 49.80% indicated being a regular-expert level players. We collected data from participants utilizing a personal and video games information form and five scales and (video game positive perception, videogame addiction scale, video engagement scale, multidimensional scale of perceived social support and relational health indices). These scales are valid and reliable instruments suitable for research purposes. The primary data analysis method was the Partial least squares- structural equation modeling (PLS-SEM). Our results demonstrated that the relationship between VGA and VGE differs based on the participants' video gaming competency level. Another important result is that VGPP has a significant positive relationship with VGA (p < 0.001), VGE (p < 0.001) and video game playing and watching activities (p < 0.001). Furthermore, an increase in the time spent on watching Twitch content is associated with an increased VGA level (p < 0.05). Finally, the time spent on playing video games has different patterns with perceptions of social support according to the level of expertise of the players. This study indicates that VGPP plays a crucial role in predicting VGA and VE and highlights the importance of considering the level of players when examining the relationship between VGA and VE. The conclusions also exhibit that the increasing popularity of esports and video game content tracking may significantly impact VGA. The role of social support in video gaming behaviors varies based on the player's level of expertise.

Habitual Videogame Playing Does Not Compromise Subjective Sleep Quality and Is Associated with Improved Daytime Functioning

Research on the effects of videogames (VGs) on health has produced mixed results. Here, we assess the relationships of VG playing with sleep; chronotype; sleepiness; and levels of depression, anxiety, and stress; and how they are modulated by the level of exposure to VGs. Four hundred-and two adult participants (age = 26.2 ± 7.84; 227 F) completed an online survey including questions on VG use and a set of standardized questionnaires. The sample was divided into three groups: habitual gamers (HGs, 42.2%), nonhabitual gamers (NHGs, 36.5%), and non-gamers (NGs, 21.3%). No between-group differences emerged in sleepiness (Epworth Sleepiness Scale) or Pittsburgh Sleep Quality Index measures except the sleep disturbances subscore, which was higher in NHGs. HGs showed delayed bed- and risetimes and higher eveningness (reduced Morningness-Eveningness Questionnaire). HGs and NHGs showed higher depression subscores (Depression Anxiety Stress Scale) but remained in the subclinical range. Moreover, hours/week of VG playing predicted delayed sleep timing, lower daytime dysfunction, and lower sleepiness. Our data suggest that VG playing does not necessarily compromise sleep quality and may even benefit daytime functioning, underlining the need to reconsider the relationships between VG use and health by taking into account possible modulating factors such as habitual VG exposure.

Analysis of the coexistence of gaming and viewing activities in Twitch users and their relationship with pathological gaming: a multilayer perceptron approach

The enormous expansion of the video game sector, driven by the emergence of live video game streaming platforms and the professionalisation of this hobby through e-sports, has spurred interest in research on the relationships with potential adverse effects derived from cumulative use. This study explores the co-occurrence of the consumption and viewing of video games, based on an analysis of the motivations for using these services, the perceived positive uses, and the gamer profile. To that end, a multilayer perceptron artificial neural network is developed and tested on a sample of 970 video game users. The results show that the variables with a significant influence on pathological gaming are the motivation of a sense of belonging to the different platforms, as well as the positive uses relating to making friends and the possibility of making this hobby a profession. Furthermore, the individual effects of each of the variables have been estimated. The results indicate that the social component linked to the positive perception of making new friends and the self-perceived level as a gamer have been identified as possible predictors, when it comes to a clinical assessment of the adverse effects. Conversely, the variables age and following specific streamers are found to play a role in reducing potential negative effects.