Testing the spectrum hypothesis of problematic online behaviors: A network analysis approach

Psychological risk factors for problematic social network use: An overview of systematic reviews and meta-analyses

Problematic Social Network Use (PSNU) is a widespread and harmful public health issue. Therefore, it is unsurprising that the literature has focused on identifying possible risk factors contributing to this behavior. However, most identified factors were found to be shared with other problematic online behaviors. Therefore, the present overview aims to identify the psychological risk factors consistently associated with PSNU and evaluate whether the emerging risk factors were shared across Internet Gaming Disorder, Problematic Pornography Use, and Compulsive Online Shopping. A systematic search of four databases was conducted to identify systematic reviews/meta-analyses investigating the relationship between PSNU and psychological risk factors. Then, a bibliometric analysis was performed to examine whether the identified factors were shared across other problematic online behaviors. Thirty-five systematic reviews/meta-analyses were included, examining general and behavior-specific predisposing factors. General predisposing factors associated with PSNU included insecure attachment, high neuroticism, low conscientiousness, low self-esteem, depression, anxiety, stress, social anxiety, loneliness, and fear of missing out. Behavior-specific factors, though less frequently studied, highlighted the role of unmet psychological needs, Preference for Online Social Interaction, and motives related to emotion regulation and socialization. The bibliometric analysis revealed that many risk factors for PSNSU are shared with other problematic online behaviors. However, certain specificities emerged, including distinct motivations driving these behaviors. Findings suggest that PSNU shares a spectrum of risk factors with other problematic online behaviors, yet specific etiological and motivational differences remain. Overall, the findings underscore integrating shared and specific risk factors to improve tailored prevention and intervention strategies.

The seven deadly sins: measuring overvaluation of social media with the Plan-net 25 scale

BACKGROUND

Problematic social media use refers to the excessive and maladaptive use of social media platforms, which negatively affects personal, social, and professional functioning. Although linked to mental health issues such as depression, anxiety, and loneliness, the underlying mechanisms remain unclear. A potential contributing factor to Problematic Social Media Use (PSMU) is the overvaluation of the relative utility of social media, where individuals disproportionately overvalue social media for different utility domains (e.g., communication or emotional regulation). This study aimed to develop and validate the Plan-net 25 scale, which was designed to assess overvaluation of the relative utility of social media in adolescents.

METHODS

The study followed three phases. Initially, a Delphi panel of 14 experts evaluated items across different utility domains. A pilot study involving 17 adolescents was conducted, and cognitive interviews were subsequently used to refine the scale items. Finally, the scale was administered to a large sample of 2,477 adolescents aged 12-20 years in Spain, alongside assessments of depression, anxiety, loneliness, life satisfaction, self-esteem, and problematic social media use. The analyses included confirmatory factor analysis, Pearson correlation, and network analysis, all of which were conducted via R 4.3.2.

RESULTS

Confirmatory factor analysis supported the theoretical seven-factor structure, capturing the following overvaluation of the relative utility of social media domains: social interaction, meeting new people, emotional regulation, social acceptance, staying informed, self-expression, and boredom management. The scale demonstrated full measurement invariance across gender and age groups (early and late adolescence). Significant correlations were found between overvaluation of the relative utility of social media, problematic social media use, and mental health indicators, with the emotional regulation and entertainment overvaluation of the relative utility of social media domains showing the strongest associations with problematic social media use.

CONCLUSIONS

The Plan-net-25 scale exhibited robust psychometric properties, suggesting that it is a promising tool for assessing overvaluation of the relative utility of social media during adolescence.

Comorbidity of problematic substance use and other addictive behaviors and anxiety, depression, and post-traumatic stress disorder: a network analysis

BACKGROUND

Among those with common mental health disorders (e.g. mood, anxiety, and stress disorders), comorbidity of substance and other addictive disorders is prevalent. To simplify the seemingly complex relationships underlying such comorbidity, methods that include multiple measures to distill which specific addictions are uniquely associated with specific mental health disorders rather than due to the co-occurrence of other related addictions or mental health disorders can be used.

METHODS

In a general population sample of Jewish adults in Israel (N = 4002), network analysis methods were used to create partial correlation networks of continuous measures of problematic substance (non-medical use of alcohol, tobacco, cannabis, and prescription sedatives, stimulants, and opioid painkillers) and behavioral (gambling, electronic gaming, sexual behavior, pornography, internet, social media, and smartphone) addictions and common mental health problems (depression, anxiety, and post-traumatic stress disorder [PTSD]), adjusted for all variables in the model.

RESULTS

Strongest associations were observed within these clusters: (1) PTSD, anxiety, and depression; (2) problematic substance use and gambling; (3) technology-based addictive behaviors; and (4) problematic sexual behavior and pornography. In terms of comorbidity, the strongest unique associations were observed for PTSD and problematic technology-based behaviors (social media, smartphone), and sedatives and stimulants use; depression and problematic technology-based behaviors (gaming, internet) and sedatives and cannabis use; and anxiety and problematic smartphone use.

CONCLUSIONS

Network analysis isolated unique relationships underlying the observed comorbidity between common mental health problems and addictions, such as associations between mental health problems and technology-based behaviors, which is informative for more focused interventions.

Understanding the Emergence of Comorbidity between Problematic Online Gaming and Gambling: A Network Analysis Approach

BACKGROUND/OBJECTIVES

Problematic online gaming and gambling tend to co-occur. The exact mechanisms underlying this phenomenon and the potential effects of gender differences remain unknown. This study aimed to identify the early clustering patterns of problematic online gaming and gambling in a community sample of young adults without a lifetime history of psychiatric treatment.

METHODS

Data were collected through an online survey and analyzed using partial correlations and Bayesian networks.

RESULTS

Altogether, 1441 individuals (aged 18-40 years, 51.4% females) participated in the survey. Both problematic online behaviors were weakly interrelated, suggesting that they serve as distinct constructs. Men's networks appeared to be more complex and had significantly higher global connectivity. Moreover, men and women differed with respect to the specific nodes that bridged both constructs. In men, the bridge nodes were "being criticized because of betting or being told about gambling problems", "loss of previous interests due to gaming", "deceiving other people because of gaming", and "health consequences of gambling". Among women, the bridge nodes were "feeling guilty because of gambling", "loss of previous interests because of gaming", "social consequences of gaming", and "continued gaming problems with other people". In men, the strongest edge was found between "borrowing money/selling anything to gamble" and "financial problems because of gambling", while in women, the strongest edge appeared between "betting more than afforded to be lost" and "tolerance symptoms of gambling".

CONCLUSIONS

The findings indicate that problematic online gaming and gambling tend to emerge in different ways among men and women. Therapeutic interventions should be planned considering gender differences.

Maladaptive daydreaming and problematic online behaviors: A network analysis approach

Previous evidence showed that Maladaptive Daydreaming (MD) is positively associated with different Problematic Online Behaviors (POBs). This study aimed to investigate the mutual relationship between MD and several POBs. Data were collected from 1209 participants, aged 18-73 (M = 30.59, SD = 12.26), through self-report questionnaires assessing MD and POBs, including problematic online gambling, problematic online gaming, problematic cybersex, Problematic Social Media Use (PSMU), problematic online shopping, and cyberchondria. Two psychometric network analyses were performed to examine the associations between all POBs at item levels, and between MD and POBs at construct levels. Results revealed six distinct communities, supporting the specificity of each POB. Furthermore, MD was found to be more strongly associated with PSMU and cyberchondria, and weakly associated with problematic online gaming, problematic cybersex, and problematic online shopping. The mutual relationships between MD and POBs might have relevant implications for the assessment and treatment of these clinical conditions.

Depression, stress, and anxiety versus internet addiction in early and middle adolescent groups: the mediating roles of family and school environments

BACKGROUND

Family and school environment play a crucial role across the different developmental stages of adolescence. This paper investigates the potential mediating role of family and school environments in the relationship between the three psychosocial predictors of depression, anxiety, stress, and Internet addiction (IA). Specifically, it focuses on the two stages of early and middle adolescence.

METHODS

The study involved a survey of 407 adolescents from Qatar, comprising 250 early adolescents and 157 middle adolescents. Inclusion criteria for the study included adolescents between the ages of 10 to 17 years old, residents of Qatar and studying in a Qatar-based school. To assess the constructs of the three psychosocial predictors, IA, family environment, the study utilized the Depression, Stress, and Anxiety Scale (DASS), the Internet Addiction Diagnostic Questionnaire (IADQ), and the Brief Family Relationship Scale, respectively. School environment was measured using questions from the "Health Behavior in School-aged Children: WHO Collaborative Cross-National survey/study (HBSC) 2013-2014. The study applied standard mediation analysis between the DASS components and IA with family and school environment as the mediators.

RESULTS

Results from the mediation analysis reveal insights into the relationships between psychosocial predictors and IA. The findings indicate that family and school environments partially mediated the relationship with regards to depression, stress, and anxiety in early adolescents. In middle adolescents, family environment partially mediated the relationship with depression and stress and fully mediating the relationship with anxiety. Meanwhile, school environment only exhibited partial mediation in the relationship with anxiety in middle adolescence.

CONCLUSIONS

These results highlight the crucial role parents and schools play in addressing problematic technology usage that develops as a response to depression, anxiety, and stress among adolescents. Moreover, the study reveals nuances in the mediating role of family and school environment in early and middle adolescence. This highlights the evolving nature of these influences across the different stages of development. Notably, this study contributes to the literature by moving beyond the conventional focus on the so-called WEIRD population, and offering valuable insights from a region that is underrepresented in current research.

Determination of the cutoff point for Smartphone Application-Based Addiction Scale for adolescents: a latent profile analysis

BACKGROUNDS

The Smartphone Application-Based Addiction Scale (SABAS) is a validated 6-item measurement tool for assessing problematic smartphone use (PSU). However, the absence of established cutoff points for SABAS hinders its utilities. This study aimed to determine the optimal cutoff point for SABAS through latent profile analysis (LPA) and receiver operating characteristic curve (ROC) analyses among 63, 205. Chinese adolescents. Additionally, the study explored whether PSU screening with SABAS could effectively capture problematic social media use (PSMU) and internet gaming disorder (IGD).

METHOD

We recruited 63,205. adolescents using cluster sampling. Validated questionnaires were used to assess PSMU, IGD, and mental health (depression, anxiety, sleep disturbances, well-being, resilience, and externalizing and internalizing problems).

RESULTS

LPA identified a 3-class model for PSU, including low-risk users (38.6%, n = 24,388.), middle-risk users (42.5%, n = 26,885.), and high-risk users (18.9%, n = 11,932.). High-risk users were regarded as "PSU cases" in ROC analysis, which demonstrated an optimal cut-off point of 23 (sensitivity: 98.1%, specificity: 96.8%). According to the cutoff point, 21.1% (n = 13,317.) were identified as PSU. PSU adolescents displayed higher PSMU, IGD, and worse mental health. PSU screening effectively captured IGD (sensitivity: 86.8%, specificity: 84.5%) and PSMU (sensitivity: 84.5%, specificity: 80.2%).

CONCLUSION

A potential ideal threshold for utilizing SABAS to identify PSU could be 23 (out of 36). Employing SABAS as a screening tool for PSU holds the potential to reliably pinpoint both IGD and PSMU.

Risk and protective factor profiles predict addictive behavior among adolescents

BACKGROUND AND AIMS

Internet gaming disorder (IGD), compulsive sexual behavior (CSB), and problematic social network usage (PSNU) are prevalent disorders among adolescents. Research indicates an increase in the number of adolescents engaging in daily gaming, sex, and the use of social networks, as well as an increase in the number of adolescents diagnosed with these disorders. The current study aims to detect unique profiles of risk and protective factors and examine whether these profiles could explain the different severities of IGD, CSB, and PSNU among adolescents.

METHOD

The sample comprised 544 Jewish Israeli adolescents from the general community (age 14-18), who were asked about risk (childhood adversity, childhood trauma, depression, anxiety, stress, post-traumatic stress, self-concealment, internalized stigma) and protective (parent-adolescent communication,) factors and addictive behaviors (IGD, CSB, and PSNU).

RESULTS

Adolescents were classified into three different clusters based on their risk and protective factors: "at risk" (n = 48, 8.82%), "moderate" (n = 400, 73.53%), and "resilient" (n = 96, 17.65%). The "at risk" group had significantly greater severity of addictive behaviors (IGD, CSB, and PSNU) than did the "moderate" or "resilient" groups, and the "moderate" group had significantly greater severity of addictive behaviors than the "resilient" group.

CONCLUSIONS

The findings highlight the fact that protective and risk factor profiles are highly indicative of various addictive behaviors among adolescents. The current research expands knowledge about addictive behaviors by providing a more individualized approach to understanding addictive behaviors among adolescents.

Flow Experience Is a Key Factor in the Likelihood of Adolescents' Problematic TikTok Use: The Moderating Role of Active Parental Mediation

TikTok use and overuse have grown rapidly in recent years among adolescents. However, risk factors for problematic TikTok use are still largely unknown. In addition, drawing on the flow theory and parental mediation theory, this study aims to examine how adolescents' perceptions of enjoyment, concentration, and time distortion affect their problematic TikTok use behavior. Further, we examined the moderating effect of active parental mediation. An online survey in China received responses from a sample of 633 adolescents between the ages of 10 and 19 (males: 51.2%; M_age = 15.00; DS = 0.975). Our findings showed that enjoyment was positively associated with concentration and, in turn, with time distortion. We also found significant positive effects of concentration and time distortion on problematic TikTok use. The effect of enjoyment, however, was non-significant, indicating that hedonic mood was not associated with problematic TikTok use. Out of the three moderated relationships examined in this study, only active parental control was found to be a significant moderator for the relationship between concentration and problematic TikTok use. The significant negative moderation result showed that as active parental mediation grows, the impact of adolescents' concentration on problematic TikTok use is reduced. Future research directions and implications are discussed.

Network analysis of internet gaming disorder, problematic social media use, problematic smartphone use, psychological distress, and meaning in life among adolescents

Background

Few studies have examined the connections between psychological distress, meaning in life, internet gaming disorder (IGD), problematic smartphone use (PSU), and problematic social media use (PSMU).

Methods

The central and bridging nodes of IGD, PSMU, and PSU symptoms were investigated using network analysis in China among 742 adolescents ( Mage = 15.39, SD = 1.68, range = 12–19; 53.23% female). The relationships between IGD, PSMU, and PSU and associated factors were investigated using a Directed Acyclic Graphs method.

Results

The results suggested that the central symptoms were withdrawal in IGD, mood modification in PSU, and tolerance in PSMU. Mood modification in IGD, mood modification in PSU, withdrawal in PSMU, and functional impairment in PSMU were the bridge symptoms. Males were more likely to experience symptoms of IGD than females, while females were more likely to need meaning than males. Stress is the root factor, while depression, meaning confusion, meaning anxiety, and meaning avoidance were closely associated with IGD, PSMU, and PSU.

Conclusions

The current research improved the understanding of IGD, PSMU, and PSU symptoms in teenagers and demonstrated the potential of dynamic systems perspectives on problematic use behaviors and stress/meaning-focused interventions.

Exploring Addictive Online Behaviors in Patients with Narcolepsy Type 1

BACKGROUND

Narcolepsy type 1 (NT1) is a rare neurological sleep disorder caused by the loss of neurons that produce hypocretin-a peptide that plays a crucial role in addictive behaviors. We aimed to compare, for the first time, levels of problematic online gaming, problematic social media use, and compulsive Internet use between NT1 patients and healthy controls (HC), and to evaluate the association between anxiety, depression, and emotion dysregulation with addictive online behaviors in NT1 patients.

METHODS

A total of 43 patients with NT1 and 86 sex- and age-matched HC participated in an online cross-sectional survey.

RESULTS

NT1 patients did not differ from HC in terms of problematic social media use and compulsive Internet use but displayed higher levels of problematic online gaming compared to HC. Higher levels of emotion dysregulation were significantly associated with higher levels of problematic social media use and compulsive Internet use, while none of the tested factors were associated with problematic online gaming.

CONCLUSION

NT1 patients and HC had similar levels of problematic social media use and compulsive Internet use, but NT1 patients showed higher levels of problematic online gaming. Emotion dysregulation might be an intervention target for reducing compulsive Internet use and problematic social media use.

Rejection sensitivity mediates the interparental conflict and adolescent Internet addiction: School connectedness as a moderator

Internet addiction (IA) is a growing social problem with negative mental and social outcomes; the present study examined whether rejection sensitivity mediates the relationship between interparental conflict and adolescent IA and the moderating role of school connectedness. One thousand and seven adolescents (51.84% females; Mean_age = 13.17; SD = 0.69) anonymously completed questionnaires to assess interparental conflict, school connectedness, rejection sensitivity, IA, and demographic information. The model results showed that: (1) the positive association between interparental conflict and adolescent IA was partially mediated by rejection sensitivity; (2) this indirect link was moderated by the school connectedness and was stronger for adolescents with high school connectedness. The results provide support for the attachment theory that high interparental conflict could increase adolescents’ rejection sensitivity, and high school connectedness plays a double-edged role that adolescents show more rejection sensitivity while reporting high interparental conflict and high school connectedness.

The Doctor Is In(ternet): The Mediating Role of Health Anxiety in the Relationship between Somatic Symptoms and Cyberchondria

Cyberchondria is a dysfunctional behavioral pattern characterized by an excessive and anxiety-amplifying engagement in searching for reassuring health information on the Internet. Research demonstrated that somatic symptoms and health anxiety might foster maladaptive health-related behaviors, such as cyberchondria. However, the relationships between somatic symptoms, health anxiety, and cyberchondria have been scarcely examined. Accordingly, this study aimed to test the mediating effect of health anxiety on the association between somatic symptoms and cyberchondria. Four hundred and thirty-one adults from the community (158 males, 36.66%), aged between 18 and 74, were recruited via an online survey. Participants completed self-report measures of somatic symptoms, health anxiety, and cyberchondria. A mediation analysis demonstrated that the severity of somatic symptoms predicted increased levels of cyberchondria and that health anxiety partially mediated this association. Therefore, interventions aimed at decreasing health anxiety may also play a role in decreasing the risk of developing cyberchondria.