Feelings of Loneliness: Understanding the Risk of Suicidal Ideation in Adolescents with Internet Addiction. A Theoretical Model to Answer to a Systematic Literature Review, without Results

Bullying Victimization and Problematic Internet Use Among Adolescents: The Role of Relative Deprivation and Anxiety

The goal of this study was to examine the relation between bullying victimization and problematic internet use among adolescents, as well as the mediating roles of relative deprivation and anxiety. A total of 742 adolescents (54.4% male, 45.6% female; Mage = 13 years old, SD = 0.63) reported their bullying victimization, relative deprivation, anxiety, and problematic internet use through questionnaires. Results indicated adolescents' bullying victimization was positively associated with their problematic internet use, and adolescents' relative deprivation and anxiety, respectively, mediated the association between bullying victimization and problematic internet use. Furthermore, bullying victimization was positively related to adolescents' problematic internet use through the chain mediating effects of relative deprivation and anxiety. The findings revealed the correlates and possible mechanisms of adolescents' problematic internet use development, practical implications, and future directions are discussed.

Investigating the Relationships between Internet Addiction and Suicidal Ideation in Adolescent Girls

Objective: Suicidal ideation (SI) signifies a psychiatric crisis, and individuals with SI are at a significantly higher risk of suicide attempts compared to those without. According to previous research, three factors that affect SI in adolescent girls are externalization problems, alexithymia, and perceived social support (PSS). As a result, the present research aimed to examine whether internet addiction (IA) is associated with SI through the mediating roles of PSS, externalizing problems, and alexithymia among adolescent girls in Tehran, Iran. Method: The current correlational study employed a structural equation modeling approach. Model fit indices such as the Chi-square to degrees of freedom ratio (CMIN/DF), normed fit index (NFI), root mean square error of approximation (RMSEA), Tucker-Lewis index (TLI), and goodness-of-fit index (CFI) were reported to assess the model's adequacy. A total of 441 adolescent girls were selected from high school and between the ages of 11 and 19 using a convenience sampling method. Participants completed the Multidimensional Scale of Perceived Social Support (MSPSS), the Beck Scale for Suicidal Ideation (BSSI), the Cell-Phone Over-Use Scale (COS), the Youth Self-Report (YSR), and the Toronto Alexithymia Scale-20 (TAS-20) in a written manner. Data analysis was done using SPSS 25 and AMOS 22. Results: Results revealed a significant positive correlation between IA and SI (P < 0.001). The study's most significant findings indicate that PSS, externalizing problems, and alexithymia significantly mediate the relationship between SI and IA. The coefficient of determination for the SI variable was 0.33, which means that predictor variables can explain 33% of the variance in SI (IA, PSS, alexithymia, and externalizing problems). Conclusion: IA showed direct and indirect effects on SI. Using these findings, we can elucidate the mechanism of how IA affects individual SI, providing critical information for the development and implementation of targeted strategies and interventions to reduce SI among Iranian adolescent girls. Psychological interventions that address the role of externalizing behaviors, alexithymia, and PSS in adolescents with IA may help reduce SI.

Development and Validation of a Nomogram for Predicting Suicidal Ideation Among Rural Adolescents in China

Purpose

Suicidal mortality is high in rural areas, and suicidal ideation, an early psychology of suicidal behavior, is particularly important for the early prevention and intervention of suicide. This study aimed to establish a nomogram model to predict high-risk groups among rural adolescents who might develop suicidal ideation.

Patients and Methods

This study conducted a cross-sectional survey of 1900 rural secondary school students in Xuzhou, China. The samples were randomly divided into a training set (1330) and a validation set (570), and a nomogram prediction model was constructed using the potential predictors of suicidal ideation screened from the training set using Lasso-Logistic regression. The model was validated using ROC, calibration, and clinical decision curves.

Results

The reported rate of suicidal ideation among rural adolescents is 18.9%. Lasso-Logistic regression found that emotional abuse, emotional neglect, hostility, subjective sleep quality, daytime dysfunction, withdrawal/escape, and depression were significant risk factors for suicidal ideation. A nomogram was built using the above 7 predictors. The area under the ROC curve (AUC) of our predictive model was 0.821 in the training set and 0.765 in the validation set, with corrected C-indices of 0.817 and 0.764, respectively. Furthermore, the calibration curves demonstrated good alignment with the ideal line (P > 0.05), and the decision curve analysis results indicated positive clinical utility.

Conclusion

The nomogram model constructed in this study may be an effective tool for predicting suicidal ideation in rural middle school students. It helps identify high-risk groups with suicidal ideation and provides more reliable information for the early prevention and intervention of suicide.

Correlations between problematic internet use and suicidal behavior among Chinese adolescents: a systematic review and meta-analysis

Background

Problematic Internet Use (PIU) has been increasingly linked to suicidal behavior among adolescents, raising significant public health concerns, particularly in Chinese youth. This study aimed to systematically review and meta-analyze the correlation between PIU and suicidal behavior in Chinese adolescents to provide a clearer understanding of this association.

Methods

A comprehensive search was conducted across seven databases up to July 1, 2024. Studies investigating the relationship between PIU and suicidal behavior among Chinese adolescents were included. A random-effects meta-analysis was employed to assess pooled effect sizes, with subgroup analyses conducted to explore potential moderators, such as geographic region, age, gender, assessment tools for PIU and suicidal ideation, and the presence of depression. Data analysis was performed using STATA software (version 16).

Results

This meta-analysis, comprising 23 studies with 353,904 participants, identified significant associations between PIU and suicidal behavior among Chinese adolescents. PIU was associated with increased risks of suicidal ideation (OR = 1.72, 95% CI: 1.45, 2.03), suicidal plans (OR = 1.50, 95% CI: 1.02, 2.20), and suicidal attempts (OR = 1.48, 95% CI: 1.16, 1.89). Subgroup analyses indicated higher risks in specific groups: adolescents from Central China (OR = 1.84, 95% CI: 1.46, 2.32), college students (OR = 2.09, 95% CI: 1.66, 2.62). The risk of suicidal ideation was particularly elevated when depression was not controlled (OR = 1.86, 95% CI: 1.53, 2.25). These findings underscore the need for targeted interventions in vulnerable populations.

Conclusion

This meta-analysis demonstrated significant associations between PIU and suicidal behaviors among Chinese adolescents. The findings emphasize the need for targeted interventions, particularly for adolescents from Central and Western China, college students, and those with untreated depression. Focused strategies are required to mitigate the risks associated with PIU and to effectively address suicidal behaviors in these high-risk populations.

Systematic review registration

https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42024577593, identifier CRD42024577593.

Association Between Internet Gaming Disorder and Suicidal Ideation Mediated by Psychosocial Resources and Psychosocial Problems Among Adolescent Internet Gamers in China: Cross-Sectional Study

BACKGROUND

Adolescent internet gaming disorder (IGD) was associated with severe harm, including suicidal ideation. While suicidal ideation was predictive of completed suicides, further research is required to clarify the association between IGD and suicidal ideation among adolescents, as well as the mechanisms involved.

OBJECTIVE

This study aimed to investigate the understudied association between IGD and suicidal ideation, as well as novel mechanisms associated with it, among Chinese adolescent internet gamers through psychosocial coping resources and psychosocial problems.

METHODS

An anonymous, self-administered, cross-sectional survey was conducted among secondary school students who had played internet games in the past year in Guangzhou and Chengdu, China (from October 2019 to January 2020). In total, 1693 adolescent internet gamers were included in this study; the mean age was 13.48 (SD 0.80) years, and 60% (n=1016) were males. IGD was assessed by the 9-item Internet Gaming Disorder Checklist of the DSM-5 (Diagnostic and Statistical Manual of Mental Disorders [Fifth Edition]), while a single item assessed suicidal ideation: "Have you ever considered committing suicide in the past 12 months?" Univariate and multivariate logistic regression associations were conducted to test the significance and directions of the potential factors for suicidal ideation. The mediation mechanism was examined by structural equation modeling.

RESULTS

Among all participants, the prevalence of IGD and suicidal ideation was 16.95% (287/1693) and 43.06% (729/1693), respectively. IGD cases were 2.42 times more likely than non-IGD cases to report suicidal ideation (adjusted odds ratio [OR] 2.42, 95% CI 1.73-3.37). Other significant factors of suicidal ideation included psychosocial coping resources (resilience and social support, both adjusted OR 0.97, 95% CI 0.96-0.98) and psychosocial problems (social anxiety: adjusted OR 1.07, 95% CI 1.05-1.09; loneliness, adjusted OR 1.13, 95% CI 1.10-1.16). The association between IGD and suicidal ideation was partially mediated by 3 indirect paths, including (1) the 2-step path that IGD reduced psychosocial coping resources, which in turn increased suicidal ideation; (2) the 2-step path that IGD increased psychosocial problems, which in turn increased suicidal ideation; and (3) the 3-step path that IGD reduced psychosocial coping resources which then increased psychosocial problems, which in turn increased suicidal ideation, with effect sizes of 10.7% (indirect effect/total effect: 0.016/0.15), 30.0% (0.05/0.15), and 13.3% (0.02/0.15), respectively. The direct path remained statistically significant.

CONCLUSIONS

IGD and suicidal ideation were alarmingly prevalent. Evidently and importantly, IGD was a significant risk factor for suicidal ideation. The association was partially explained by psychosocial coping resources of resilience and social support and psychosocial problems of social anxiety and loneliness. Longitudinal studies are needed to confirm the findings. Pilot randomized controlled trials are recommended to evaluate the effectiveness of interventions in reducing suicidal ideation by reducing IGD, improving psychosocial coping resources, and reducing psychosocial problems investigated in this study.

Problematic Pornography Use, Mental Health, and Suicidality among Young Adults

The relationship between suicidality and problematic pornography use (PPU) is not clear, and the limited research data that exists show contradictory results. The present study aims to explore the associations between these two variables in a sample of young adults, taking into account gender differences and the role of loneliness, emotional states, and well-being. A total of 332 national and international students (60% female) at an Italian University with a mean age of 23 years (SD = 2.84) completed an anonymous online survey during the period from March 2023 to May 2023. The results show that PPU was associated with higher levels of anxiety, depression, stress, loneliness, and suicide ideation, as well as lower life satisfaction. Gender comparison analysis revealed significantly higher scores for PPU and loneliness among men, while women scored higher in stress, anxiety, and life satisfaction. Significant correlations between PPU and suicidal ideation and having a suicide plan were established for female participants despite their lower scores in PPU. Multiple regression analysis revealed that PPU and its interaction with gender were both significant predictors of suicidal ideation. Future attention should be paid to how young women may be influenced by exposure to sexually explicit materials, while always considering the role of loneliness.

Machine learning identifies different related factors associated with depression and suicidal ideation in Chinese children and adolescents

BACKGROUND

Depression and suicidal ideation often co-occur in children and adolescents, yet they possess distinct characteristics. This study sought to identify the different related factors associated with depression and suicidal ideation.

METHODS

A nationwide cross-sectional survey collected data from Chinese children and adolescents aged 8 to 18 (N = 160,962; 48.91 % girls). The survey included inquiries about demographics, depression, suicidal ideation, anxiety, perceived stress, academic burnout, internet addiction, non-suicidal self-injury, bullying, and being bullied. Fifteen machine learning algorithms were conducted to identify the different related factors associated with depression and suicidal ideation. Additionally, we conducted external validation on an independent sample of 1,812,889 children and adolescents.

RESULTS

Our findings revealed seven related factors linked to depression and six associated with suicidal ideation, with average accuracy rates of 86.86 % and 85.82 %, respectively. For depression, the most influential factors were anxiety, perceived stress, academic burnout, internet addiction, non-suicidal self-injury, experience of bullying, and age. Similarly, anxiety, non-suicidal self-injury, perceived stress, internet addiction, academic burnout, and age emerged as paramount factors for suicidal ideation. Moreover, these related factors showed notable variations in their predictive capacities for depression and suicidal ideation across different subgroups.

CONCLUSION

Anxiety emerged as the predominant shared factor for both depression and suicidal ideation, whereas the other related factors displayed distinct predictive patterns for each condition. These findings highlight the critical need for tailored strategies from public mental health service providers and policymakers to address the pressing concerns of depression and suicidal ideation.

The mental and behavioral health crisis in youth: Strategic solutions post COVID-19 pandemic: An American Academy of Nursing consensus paper

The COVID-19 pandemic wrought significant negative impacts on youth well-being, particularly among Black, Hispanic, American Indian, Alaska Native, and LGBTQ+ (Lesbian, gay, bisexual, transgender, queer or questioning) youth. The pandemic disrupted connections to family, school, and community, which are essential supports for youth mental health. Lessons learned from the pandemic suggest the role of stress and windows of opportunity to build resiliency. Drawing from a policy dialog on the youth mental health crisis conducted by 4 American Academy of Nursing Expert Panels, we present approaches to the current increase in youth mental health problems. Included is emerging literature on building youth resilience, particularly via re-establishing school and community connections. The role of families, schools, and community support is emphasized, particularly by creating a healing school environment and the pivotal role of school nurses. Recommendations include increased support for families, engaging the school nurse role, and developing school-based innovative programs to build connections and youth wellness.

Prevalence and correlates of sleep disturbance among adolescents in the eastern seaboard of China

BACKGROUND

Sleep disturbances are serious public health issues that warrant increased attention, especially in adolescents. The aim of this study was to investigate the prevalence and factors associated with sleep disorders among urban adolescents in China.

METHODS

This study utilized an online survey to assess the demographic characteristics and mental health status of secondary school students in Lianyungang City. The Patient Health Questionnaire-9 (PHQ-9) was used to evaluate sleep disturbances in adolescents. The seven-item Generalized Anxiety Disorder (GAD-7) assessed anxiety symptoms, and the Perceived Social Support Scale (PSSS) was used to measure perceived social support.

RESULTS

Among 3443 adolescents, the prevalence of sleep disorders were 10.8%, with significantly higher proportions of sleep disorders (13.7% VS 8.3%, P < 0.001) among female adolescents when compared to males. Binary regression analysis revealed that anxiety symptoms (OR = 1.305, 95% CI: 1.269-1.342, P < 0.001) was risk factor for sleep disturbances, and significant other support (OR = 0.944, 95% CI: 0.896-0.994, P = 0.028) and good annual household income (OR = 0.616, 95% CI: 0.394-0.963, P = 0.034) were protective factors. Furthermore, multinomial logistic regression analysis showed that age, sex, and anxiety symptoms were associated with an elevated risk of experiencing more frequent sleep disturbances (all P < 0.05).

CONCLUSIONS

We have found that 10.8% of adolescents experience sleep disorders, and it is evident that various factors can influence healthy sleeping. These results underscore the significance of addressing these factors to enhance sleep health among this population.

Relationship between loneliness and internet addiction: a meta-analysis

BACKGROUND

In the digital age, the Internet has become integrated into all aspects of people's work, study, entertainment, and other activities, leading to a dramatic increase in the frequency of Internet use. However, excessive Internet use has negative effects on the body, psychology, and many other aspects. This study aims to systematically analyze the research findings on the relationship between loneliness and Internet addiction to obtain a more objective, comprehensive effect size.

METHODS

This study employed a comprehensive meta-analysis of empirical research conducted over the past two decades to investigate the relationship between loneliness and Internet addiction, with a focus on the moderating variables influencing this relationship. This meta-analysis adopted a unique approach by categorizing moderating variables into two distinct groups: the objective characteristics of research subjects and the subjective characteristics of researchers. It sheds light on the multifaceted factors that influence the relationship between loneliness and Internet addiction.

RESULTS

A literature search in web of science yielded 32 independent effect sizes involving 35,623 subjects. Heterogeneity testing indicated that a random effects model was appropriate. A funnel plot and Begg and Mazumdar's rank correlation test revealed no publication bias in this meta-analysis. Following the effect size test, it was evident that loneliness was significantly and positively correlated with Internet addiction (r = 0.291, p < 0.001). The moderating effect analysis showed that objective characteristics significantly affected the relationship. However, subjective characteristics did not affect the relationship.

CONCLUSIONS

The study revealed a moderately positive correlation between loneliness and Internet addiction. Moreover, this correlation's strength was found to be influenced by various factors, including gender, age, grade, and the region of the subjects. However, it was not affected by variables such as the measurement tool, research design, or research year (whether before or after COVID-19).

Unveiling Adolescent Suicidality: Holistic Analysis of Protective and Risk Factors Using Multiple Machine Learning Algorithms

Adolescent suicide attempts are on the rise, presenting a significant public health concern. Recent research aimed at improving risk assessment for adolescent suicide attempts has turned to machine learning. But no studies to date have examined the performance of stacked ensemble algorithms, which are more suitable for low-prevalence conditions. The existing machine learning-based research also lacks population-representative samples, overlooks protective factors and their interplay with risk factors, and neglects established theories on suicidal behavior in favor of purely algorithmic risk estimation. The present study overcomes these shortcomings by comparing the performance of a stacked ensemble algorithm with a diverse set of algorithms, performing a holistic item analysis to identify both risk and protective factors on a comprehensive data, and addressing the compatibility of these factors with two competing theories of suicide, namely, The Interpersonal Theory of Suicide and The Strain Theory of Suicide. A population-representative dataset of 173,664 Norwegian adolescents aged 13 to 18 years (mean = 15.14, SD = 1.58, 50.5% female) with a 4.65% rate of reported suicide attempt during the past 12 months was analyzed. Five machine learning algorithms were trained for suicide attempt risk assessment. The stacked ensemble model significantly outperformed other algorithms, achieving equal sensitivity and a specificity of 90.1%, AUC of 96.4%, and AUCPR of 67.5%. All algorithms found recent self-harm to be the most important indicator of adolescent suicide attempt. Exploratory factor analysis suggested five additional risk domains, which we labeled internalizing problems, sleep disturbance, disordered eating, lack of optimism regarding future education and career, and victimization. The identified factors provided stronger support for The Interpersonal Theory of Suicide than for The Strain Theory of Suicide. An enhancement to The Interpersonal Theory based on the risk and protective factors identified by holistic item analysis is presented.

Influence of childhood trauma on adolescent internet addiction: The mediating roles of loneliness and negative coping styles

BACKGROUND

In the information age, the use of the internet and multimedia tools has large effects on the life of middle school students. Improper use of the internet may result in internet addiction (IA). Thus, actively exploring the factors influencing adolescent and the mechanism of addiction as well as promoting adolescent physical and mental health and academic development are priorities that families, schools, and society urgently need to address.

AIM

To explore the effect of childhood trauma on adolescent IA and to consider the roles of loneliness and negative coping styles.

METHODS

A total of 11310 students from six junior high schools in Henan, China, completed the child trauma questionnaire, IA test, loneliness scale, and simple coping style questionnaire. In addition, data were collected from 1044 adolescents with childhood trauma for analysis with IBM SPSS 26.0 and AMOS 28.0; we examined the relationships among childhood trauma, IA, loneliness, and negative coping styles.

RESULTS

We found that childhood trauma not only directly affected adolescents' IA but also affected IA through loneliness and negative coping styles.

CONCLUSION

Therefore, this study has theoretical implications regarding adolescent mental health and may inform interventions for IA.

Network analysis of suicidality and internet addiction symptoms among Chinese primary and secondary school students

BACKGROUND

The COVID-19 pandemic has increased the risk of both Internet addiction and suicide across various populations, especially among children and adolescents. This study aimed to assess the inter-relationships between Internet addiction symptoms and suicidality among primary and secondary school students from the perspective of network analysis.

METHODS

This was a cross-sectional, multicenter study. The Internet Addiction Test (IAT) was used to assess internet addiction symptoms. Participants were also asked about having any suicidal ideation and suicide plan. Univariate analyses and network analysis were subsequently conducted.

RESULTS

Altogether, 5380 primary and secondary school students participated in the study. Among them, 3161 (58.8 %, 95 % CI = 57.4 %-60.1 %) students reported having Internet addiction symptoms and 798 (14.8 %, 95 % CI = 13.9 %-15.8 %) reported having suicidal ideation or suicide plan in the past two weeks. Network analysis revealed that IAT16 ('Request an extension for longer time spent online'; node strength = 1.223) was the most central symptom in the Suicidality-Internet addiction network model, while the edge suicidality-IAT4 ('Form new relationship with online users'; edge weight = 0.055) was the strongest edge linking both communities.

CONCLUSIONS

Internet addiction symptoms were common among primary and secondary school students during the COVID-19 school closure period in China and were significantly associated with suicidality. Targeted strategies such as strengthening self-control, sense of belonging and connectedness may be important in reducing the risk of both suicidality and Internet addiction among primary and secondary school students.

The Impact of Long-Term Online Learning on Internet Addiction Symptoms among Depressed Secondary School Students: Insights from a Cross-Panel Network Analysis

BACKGROUND

The COVID-19 pandemic and the shift to online learning have increased the risk of Internet addiction (IA) among adolescents, especially those who are depressed. This study aims to identify the core symptoms of IA among depressed adolescents using a cross-lagged panel network framework, offering a fresh perspective on understanding the interconnectedness of IA symptoms.

METHODS

Participants completed the Internet addiction test and the Patient Health Questionnaire-9. A total of 2415 students were initially included, and after matching, only 342 students (a cutoff score of 8) were retained for the final data analysis. A cross-lagged panel network analysis was conducted to examine the autoregressive and cross-lagged trajectories of IA symptoms over time.

RESULTS

The incidence rate of depression rose remarkably from 14.16% (N = 342) to 17.64% (N = 426) after the four-month online learning. The symptom of "Anticipation" exhibited the highest out-expected influence within the IA network, followed by "Stay online longer" and "Job performance or productivity suffer". Regarding the symptom network of depression, "Job performance or productivity suffer" had the highest in-expected influence, followed by "Life boring and empty", "Snap or act annoyed if bothered", "Check email/SNS before doing things", and "School grades suffer". No significant differences were found in global network strength and network structure between waves 1 and 2.

CONCLUSION

These findings prove the negative effects of online learning on secondary students' mental health and have important implications for developing more effective interventions and policies to mitigate IA levels among depressed adolescents undergoing online learning.

Internet Addiction and Its Associated Factors among Undergraduate Students in Kathmandu, Nepal

Background

Internet has penetrated all processes of life and has become an unavoidable part of people's daily life. This widespread use of the Internet has resulted in significant concerns with regard to problematic Internet behaviours and related conditions. The aim of the study was to find out the prevalence of Internet addiction and its associated factors among undergraduate students in Kathmandu.

Materials and Methods

We included all together 344 undergraduate students from different colleges affiliated to Pokhara University for this cross-sectional study. We used self-administered questionnaire consisting of the Internet Addiction Test scale to assess the Internet addiction. We coded the data, entered it in Epi-Data 3.1 and transferred to IBM SPSS 25 for analysis. We applied bivariate and multivariate logistic regression analysis to identify factors associated with Internet addiction, and p value <0.05 was considered as statistically significantt.

Results

The prevalence of Internet addiction was found to be 29.90% (95% CI: 25.0-34.9). In the chi-squared test relationship with parents, parental control over the Internet use, perceived feeling of loneliness, and time spent on internet per day were found to be statistically associated (p < 0.05) with Internet addiction.

Conclusion

This study revealed nearly one-third of the Internet addiction among undergraduate students. Relationship with parents, parental control over the internet use, perceived loneliness feelings, and time spent on internet per day were significantly associated with Internet addiction along other factors. Therefore, it is important to raise awareness among young generation, parents, and teachers towards risk of Internet addiction.

The Impact of Mental Health Predictors of Internet Addiction among Pre-Service Teachers in Ghana

This study examined the prevalence of addictive Internet behavior and its links with mental health among pre-service teachers in Ghana. A descriptive, correlational design was employed with 405 pre-service teachers from colleges of education and a public university in Ghana participating in this study. The sample completed a sociodemographic survey about loneliness, life satisfaction, depression, self-esteem, and the Internet addiction scales (abridged form). The results revealed that there was a significant relationship between pre-service teachers' Internet addiction, depression, life satisfaction, and loneliness; however, depression was the least influential factor in addictive Internet use. Additionally, there was a statistically significant nexus between self-esteem, loneliness, depression, and life satisfaction. In addition, all the above-mentioned variables were discovered to explain 56.3% of the absolute variance in addiction to the Internet. Among the variables linked with Internet addiction and its dimensions, loneliness appeared to be the most significant. Institutional coping programs with Internet addiction should be established within the scope of the university administration, supporting pre-service teachers' mental health. Finally, the development of awareness campaigns on the menaces associated with Internet usage and mental health through extracurricular programs is recommended.

Predictors of Gaming Disorder or Protective from It, in a French Sample: A Symptomatic Approach to Self-Regulation and Pursued Rewards, Providing Insights for Clinical Practice

Gaming disorder (GD) is a new health condition still requiring a lot of evidence established around its underlying and related psychological mechanisms. In our study we focused on Massively Multiplayer Online Role Playing Games (MMORPGs), a specific very popular and engaging game genre, to determine that benefit, motivation and control aspects could be predictive of a dysfunctional engagement in gaming. In total, 313 participants were recruited from private forums of gamers between May 2009 and March 2010. They filled out a questionnaire on their socio-demographic data and their weekly gaming time. They also completed different psychometric assessments such as the DSM IV-TR criteria for substance dependence adapted to gaming such as the Dependence Adapted Scale (DAS), the external rewards they expected from gaming (External Motives), the expected internal reward they expected from gaming (Internal Motives), the Zuckerman Sensation Seeking Scale (ZSSS), and the Barratt impulsiveness Scale (BIS-10). Results showed that some psychological factors related to online gaming represented risk factors for GD in participants (i.e., competition and advancement motives, reduced anxiety, solace, greater personal satisfaction, and sense of power), whereas some others were found to be protective factors from GD (i.e., recreation, enjoyment and experience seeking) in participants. Additionally, the study found that disinhibition, boredom susceptibility, thrill and adventure seeking, and high impulsivity were correlated to GD in participants. In conclusion, not only motives for gaming and impulsivity could be predictors for GD, but maladaptive coping strategies based on experienced relief in-game from negative feelings (anxiety and boredom) or experienced improvement in-game of self-perception (personal satisfaction, sense of power) could play as well a role of negative reinforcers for GD. Some benefits from gaming, typically entertainment and enjoyment, are shown to be protective factors from GD, playing the role of positive reinforcing factors. They are worthy of being identified and promoted as functional gaming habits. These findings can feed the clinical and health promotion fields, with a more in-depth understanding of diverse psychological factors in gamers, identifying those at risk for GD and those protective from it. The current work can foster a more balanced approach towards gaming activities, taking their opportunities for mankind and controlling for their adverse effects in some individuals.