A test of the pathway model of problematic smartphone use

The Social Processes of Excessive Online Gaming Homophily: Peer Selection or Influence?

Adolescents who befriend online game using peers may be at risk for initiated and continued excessive game use (online gaming use homophily). The present article examined how adolescents' severity of online gaming use related to their friends' online gaming behavior bi-directionally across a semester (peer selection or peer influence effect). Students from two universities completed three waves of online surveys within four and a half months (N = 3079; 33.6% female; Mage = 19.16; SD = 0.97). Random-intercepts, Cross-Lagged Panel Model (RI-CLPM) analyses revealed that peer selection and peer influence both promote online gaming use homophily in adolescents' friendship groups. Furthermore, participants were more likely to form new friendships with peers exhibiting similar online gaming behavior as their behavior, subsequently reinforcing their online gaming use behaviors within these relationships. These social processes may exhibit a time lag among girls, which needs to be confirmed through longer-term follow-up. In general, findings suggest that effective prevention programs targeting excessive online gaming should not only focus on promoting social influence skills but also consider the structure of peer environments.

Examining the unique relationships between problematic use of the internet and impulsive and compulsive tendencies: network approach

BACKGROUND

Both impulsivity and compulsivity have been identified as risk factors for problematic use of the internet (PUI). Yet little is known about the relationship between impulsivity, compulsivity and individual PUI symptoms, limiting a more precise understanding of mechanisms underlying PUI.

AIMS

The current study is the first to use network analysis to (a) examine the unique association among impulsivity, compulsivity and PUI symptoms, and (b) identify the most influential drivers in relation to the PUI symptom community.

METHOD

We estimated a Gaussian graphical model consisting of five facets of impulsivity, compulsivity and individual PUI symptoms among 370 Australian adults (51.1% female, mean age = 29.8, s.d. = 11.1). Network structure and bridge expected influence were examined to elucidate differential associations among impulsivity, compulsivity and PUI symptoms, as well as identify influential nodes bridging impulsivity, compulsivity and PUI symptoms.

RESULTS

Results revealed that four facets of impulsivity (i.e. negative urgency, positive urgency, lack of premeditation and lack of perseverance) and compulsivity were related to different PUI symptoms. Further, compulsivity and negative urgency were the most influential nodes in relation to the PUI symptom community due to their highest bridge expected influence.

CONCLUSIONS

The current findings delineate distinct relationships across impulsivity, compulsivity and PUI, which offer insights into potential mechanistic pathways and targets for future interventions in this space. To realise this potential, future studies are needed to replicate the identified network structure in different populations and determine the directionality of the relationships among impulsivity, compulsivity and PUI symptoms.

The impact of long-term online learning on social anxiety and problematic smartphone use symptoms among secondary school students with different levels of fear of missing out: Evidence from a symptom network and longitudinal panel network analysis

Background

The advancement of communication technology and the impact of the COVID-19 pandemic have led to an increased reliance on online education. However, the effects of the long-term use of smart devices for online learning on students' social anxiety and problematic smartphone use (PSU) and the role of fear of missing out (FoMO) in this process have yet to be fully explored.

Methods

This study analysed longitudinal data from 2,356 high school students (female = 1,137 (48.26%), mean age = 13.84, SD age = 1.37) in China, divided into high- and low-FoMO groups based on their scores on the FoMO scale, to examine the impact of four months of online learning on social anxiety and PSU. The Social Anxiety Scale (SAS) and Mobile Phone Addiction Index (MPAI) were used to assess social anxiety and PSU symptoms.

Results

The undirected symptom networks revealed more bridge symptoms among the students in the high-FoMO group, although their overall symptom scores decreased. The results of the directed cross-lagged panel networks showed that "productivity loss" predicted other symptoms in the low-FoMO group but that "afraid of negative evaluation" was the predictor in the high-FoMO group. Meanwhile, "withdrawal/escape" and "productivity loss" were the symptoms that were most affected by other symptoms in the high-FoMO and low-FoMO groups, respectively.

Conclusions

The current study therefore sheds light on the changes in social anxiety and PSU symptoms among secondary school students during long-term online learning, as well as the moderating role of FoMO.

Effects of aerobic exercise or Tai Chi Chuan interventions on problematic mobile phone use and the potential role of intestinal flora: A multi-arm randomized controlled trial

BACKGROUND

Problematic use of mobile phones (PMPU) has been described as a serious public health issue.

METHODS

This study was a parallel three-arm randomized controlled trial and has completed registration (ClinicalTrials.gov Identifier: NCT05843591). Ninety college students with PMPU were randomly assigned to the aerobic exercise group (AE group, n = 30), the Tai Chi Chuan group (TCC group, n = 30), or the wait-list control group (WLC group, n = 30). At the end of the intervention, stool samples from the study participants were collected for biological analysis based on 16 S rDNA amplicon sequencing technology. The primary outcome was addiction symptoms assessed by the Smartphone Addiction Scale-Short Version (SAS-SV). The secondary outcomes are emotional symptoms, physical symptoms, and flora species.

RESULTS

Compared with the WLC group, the AE and TCC groups showed reductions in PMPU levels, physical and mental fatigue, but there was no difference between the two groups. Moreover, the effect of increasing self-esteem embodied in the TCC group was not present in the AE group. Compared to the WLC group, the relative abundance of Bacteroidaceae and Bacteroides were lower in the AE group, while the relative abundance of Erysipelotrichaceae and Alistipes were lower in the TCC group. And the relative abundance of Bacteroidaceae, Bacteroides, and Alistipes were significantly and negatively correlated with the decline in PMPU scores.

CONCLUSION

AE or TCC is an effective, safe and efficient intervention for college students with PMPU, providing some physiological and psychological benefits and having some impact on their intestinal flora.

Order of first-play in simulated versus monetary gambling

Background and aims

Simulated gambling products, like loot boxes and social casino games, contain gambling elements, but are not classified as gambling. They are available to minors, raising concerns about a "gateway effect" into gambling. This study examined the time course of young people's engagement in simulated and monetary gambling, and associations between simulated gambling and gambling problems and harm. A necessary, although not sufficient, condition for simulated games leading to real money gambling is that simulated play must come first.

Method

Participants were 1,026 young adults (aged 18-25 years) who played video games in the last year. They reported the age at which they first took part in seven simulated and twelve monetary gambling products, and current gambling problems and harm.

Results

First use of loot boxes and video games with gambling content tended to precede monetary gambling. Forms where gambling is a core gameplay element, such as social casino and demonstration games, tended to follow some monetary gambling forms. Engagement in most simulated gambling products was associated with greater harm from monetary gambling.

Discussion

The findings leave open the possibility of a catalyst pathway from youth engagement in loot boxes and games with gambling content to later monetary gambling, but causal psychosocial mechanisms remain unclear. However, a pathway from social casino and demonstration games to monetary gambling appears less likely, which may instead reflect containment or substitution effects. Simulated gambling disproportionately attracts youth who are vulnerable to gambling problems and harm, indicating the need for consumer protection measures.

The unique role of smartphone addiction and related factors among university students: a model based on cross-sectional and cross-lagged network analyses

Smartphone addiction is a global problem affecting university students. Previous studies have explored smartphone addiction and related factors using latent variables. In contrast, this study examines the role of smartphone addiction and related factors among university students using a cross-sectional and cross-lagged panel network analysis model at the level of manifest variables. A questionnaire method was used to investigate smartphone addiction and related factors twice with nearly six-month intervals among 1564 first-year university students (M = 19.14, SD = 0.66). The study found that procrastination behavior, academic burnout, self-control, fear of missing out, social anxiety, and self-esteem directly influenced smartphone addiction. Additionally, smartphone addiction predicted the level of self-control, academic burnout, social anxiety, and perceived social support among university students. Self-control exhibited the strongest predictive relationship with smartphone addiction. Overall, self-control, self-esteem, perceived social support, and academic burnout were identified as key factors influencing smartphone addiction among university students. Developing prevention and intervention programs that target these core influencing factors would be more cost-effective.

Understanding the construction of 'behavior' in smartphone addiction: A scoping review

It has been claimed that smartphone usage constitutes a behavioral addiction, characterised by compulsive, excessive use of one's phone and psychological withdrawal or distress when the phone is absent. However, there is uncertainty about key phenomenological and conceptual details of smartphone addiction. One of the central problems has been understanding the processes that link smartphone usage, and addiction. The question this paper aims to answer is straightforward: based on measures utilised in the literature, what does 'behavior' mean in the context of smartphone addiction? A scoping review of the smartphone addiction literature was undertaken. This identified 1305 studies collecting smartphone addiction data. Just under half (49.89%) of all published smartphone addiction papers did not report the collection of any smartphone specific behaviors. Those that did tended to focus on a small cluster of self-reported behaviors capturing volume of overall use: hours spent using a smartphone per day, number of pickups, duration of smartphone ownership, and types of app used. Approximately 10% of papers used logged behavioral data on phones. Although the theoretical literature places increasing focus on context and patterns of use, measurements of behavior tend to focus on broad, volumetric measures. The number of studies reporting behavior has decreased over time, suggesting smartphone addiction is becoming increasingly trait-like. Both major phone operating systems have proprietary apps that collected behavioral data by default, and research in the field should take advantage of these capabilities when measuring smartphone usage.

Heterogeneity of smartphone impact on everyday life and its relationship with personality and psychopathology: A latent profile analysis

BACKGROUND

The relationships between problematic smartphone use and psychological factors have been extensively investigated. However, previous studies generally used variable-centered approaches, which hinder an examination of the heterogeneity of smartphone impact on everyday life.

OBJECTIVE

In the present study, we capitalized on latent profile analysis to identify various classes of smartphone owners based on the impact associated with smartphone use (e.g., unregulated usage, preference for smartphone-mediated social relationships) and to compare these classes in terms of established psychological risk factors for problematic smartphone use.

METHOD

We surveyed 934 young adults with validated psychometric questionnaires to assess the impact of smartphones, psychopathological symptoms, self-esteem and impulsivity traits.

RESULTS

Smartphone users fall into four latent profiles: users with low smartphone impact, users with average smartphone impact, problematic smartphone users, and users favoring online interactions. Individuals distributed in the problematic smartphone user profile were characterized by heightened psychopathological symptoms (stress, anxiety, depression, obsessive-compulsive tendencies) and impulsivity traits. Moreover, users who preferred online interactions exhibited the highest symptoms of social anxiety and the lowest levels of self-esteem.

CONCLUSIONS

These findings further demonstrate the multidimensionality and heterogeneity of the impact of smartphone use, calling for tailored prevention and intervention strategies.

Problematic smartphone use and specific problematic Internet uses among university students and associated predictive factors: a systematic review

University students are a high-risk population with problematic online behaviours that include generalized problematic Internet/smartphone use and specific problematic Internet uses (for example, social media or gaming). The study of their predictive factors is needed in order to develop preventative strategies. This systematic review aims to understand the current state of play by examining the terminology, assessment instruments, prevalence, and predictive factors associated with problematic smartphone use and specific problematic Internet uses in university students. A literature review was conducted according to the PRISMA guidelines using four major databases. A total of 117 studies were included, divided into four groups according to the domain of problem behaviour: problematic smartphone use (n = 67), problematic social media use (n = 39), Internet gaming disorder (n = 9), and problematic online pornography use (n = 2). Variability was found in terminology, assessment tools, and prevalence rates in the four groups. Ten predictors of problematic smartphone use, five predictors of problematic social media use, and one predictor of problematic online gaming were identified. Negative affectivity is found to be a common predictor for all three groups, while social media use, psychological well-being, and Fear of Missing Out are common to problematic smartphone and social media use. Our findings reaffirm the need to reach consistent diagnostic criteria in cyber addictions and allow us to make progress in the investigation of their predictive factors, thus allowing formulation of preventive strategies.

Problematic use or addiction? A scoping review on conceptual and operational definitions of negative social networking sites use in adolescents

The aim of this study was to assess the conceptual and operational descriptions of negative social networking site (SNS) use in adolescents. A search was conducted among four databases, following the guidelines set forth in the PRISMA-ScR. The search resulted in 1503 articles, of which 112 met the inclusion criteria. The results showed that the negative use of SNS has been conceptualised from two approaches: (1) the component model of addiction and (2) a cognitive-behavioural problematic use paradigm. Thirty-seven instruments assessing this problem were found, with the Bergen Facebook Addiction Scale and its adaptations being the most widely used ones. These instruments dimensions were vaguely defined and often overlapped with one another. In conclusion, no standardised theoretical framework exists to assess negative SNS use in adolescents. This lack of a theoretical definition makes it difficult to compare results among studies and determine the true extent of the problem.

Psychometric evaluation of the Chinese version of social anxiety scale for social media users and cross-sectional investigation into this disorder among college students

BACKGROUND

Recent years have seen an increased incidence of social anxiety due to increasing intensive use of social media, especially among young adults.

OBJECTIVE

The present study aimed to translate the original English version of Social Anxiety Scale for Social Media Users (SAS-SMU) into Chinese, examine its applicability among Chinese College students via reliability and validity indexes, and investigate the influencing factors contributing to SAS-SMU.

METHODS

A cross-sectional study was conducted among a cohort of 1307 Chinese college students, 486 males and 821 females, aged 20.75 ± 3.13 years old. The original version of SAS-SMU was translated into Chinese using the backward and forward translation procedure. An exploratory factor analysis (EFA) and a confirmatory factor (CFA) analysis were used for construction of underlying factor structure. Criterion-related validity was assessed using Interaction anxiousness scale (IAS) and the "extraversion" domain of Eysenck Personality Short Scale (EPQ-R-S). Cronbach's alpha coefficient was computed for evaluation of internal consistency. A multivariate stepwise linear regression analysis was conducted for determining the potential correlates of SMU-related social anxiety.

RESULTS

The final Chinese version of SAS-SMU had 21 items. Item analysis, exploratory factor, EFA, and CFA jointly supported a three-factor structure of the translated version, defined as social recognition anxiety, interaction anxiety, and privacy concern anxiety, respectively. The three-factor structure of this scale showed configural, metric, scalar measurement invariance across gender. Cronbach's alpha coefficient of the scale and its three subscales were 0.96, 0.93, 0.94, and 0.91, respectively. The mean SAS-SMU overall score for each college student was 51.63 ± 16.32, with 21.64 ± 7.24 (recognition anxiety), 17.10 ± 6.30 (interaction anxiety), 12.90 ± 4.61 (privacy concern anxiety) for each subscale, respectively. IAS score, mobile phone addiction index (MPAI) score, EPQ-E score, time spent on social media per week, relationship with parents, childhood life status, whether being an only child, and cyber bullying experience can explain 51.1% of the variance of SMU related social anxiety.

CONCLUSION

Based on the data, the Chinese version of SAS-SMU has shown to be satisfactory in psychometric properties. Subjects prone to interaction anxiousness, addictive smartphone use, extraversion personality trait, bad relationship with parents, unfortunate childhood life, only-child status, and having cyberbullying experience tend to have a higher level of SMU related social anxiety.

Problematic Smartphone Use and Problematic Social Media Use: The Predictive Role of Self-Construal and the Mediating Effect of Fear Missing Out

Problematic smartphone use (PSU) and problematic social media use (PSMU) are two interrelated constructs which have received significant research attention over the past decade. The present study investigated the relationship between self-construal (distinguished as independent and interdependent), PSU and PSMU with Fear of Missing Out (FoMO) as a mediating variable. The sample comprised 405 Italian students who completed standardized psychometric scales assessing the variables of the study. Bivariate correlations analysis showed that FoMO and independent self-construal was significantly and negatively associated. On the contrary, interdependent self-construal was significantly and positively associated with FoMO, PSU, and PSMU. Mediation analysis showed that FoMO mediated the relationship between self-construal and both PSMU and PSU, but at different levels. The results demonstrated that FoMO full mediated the relationships between interdependent self and PSU, whereas only partial mediation was found between interdependent self and PSMU. Therefore, taking these personality characteristics into account may help reduce dysfunctional behaviour associated with problematic technology use and promote psychological well-being among students. However, it is recommended that further studies replicate the proposed model by including other psychological constructs.

Hedonic use, stress, and life satisfaction as predictors of smartphone addiction

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Hedonic smartphone use predicts the risk of smartphone addiction.

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Perceived stress predicts the risk of smartphone addiction.

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Satisfaction with life predicts indirectly and negatively the risk of smartphone addiction.

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Female gender is a direct and positive predictor of the risk smartphone addiction.

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Hedonic smartphone use positively predicts perceived stress, and life satisfaction negatively predicts perceived stress.

This study examined the relationship between hedonic smartphone use (entertainment, social media, games), perceived life stress, and satisfaction with life with smartphone addiction (SA). We tested the connections using structural equation modeling (SEM) on questionnaire data obtained from 410 participants (73.2% women). Results indicated a good overall fit of the model (χ²(36) = 58.06, p = .011; CFI = 0.970, TLI = 0.954, RMSEA[90% CI] = 0.039 [0.019, 0.056], SRMR = 0.037). Perceived stress and hedonic use were positive predictors of SA (β = 0.264, p = .001 and β = 0.176, p = .002, respectively). Satisfaction with life did not directly predict SA, but an indirect effect, via perceived stress, was statistically significant (β = −0.146, p = .001). Women showed greater SA than men, but the effect of age was not significant. Perceived stress was negatively predicted by satisfaction with life, and positively by hedonic use. Based on the compensatory internet use theory, hedonic or non-utilitarian smartphone use might be associated with SA. The study concludes that being female, hedonic smartphone use, and perceived life stress predict SA.

Tracing 20 years of research on problematic use of the internet and social media: Theoretical models, assessment tools, and an agenda for future work

Over the past two decades, there has been increasing interest in the impact of internet use and growing concern about whether problematic use of the internet (PUI) constitutes an addiction. Despite the growing number of studies investigating PUI and PUI subtypes, its conceptualization and inclusion in a classification system have not been possible yet. Several models aimed at inspiring clinical research and practice have proposed possible mechanisms involved in PUI and problematic use of social media, and multiple self-report instruments have been consequentially developed. The diversity of theoretical models and instruments currently hinders standardized assessment procedures across studies and, in turn, their comparability. The purpose of the present overview is to highlight the current conceptualization and assessment of both PUI and problematic use of social media, in order to critically discuss the existing fragmentation in the field and the need to achieve conceptual convergence. Two suggestions for future directions are also provided, i.e., define diagnostic criteria by bottom-up and top-down processes and develop a psychobiological hypothesis including the description of higher-order mechanisms involved in PUI and not other psychopathological conditions (e.g., the multiple available internet-related cues and outcomes that may lead to parallel forms of associative learning; probabilities of obtaining internet-related reinforcements; and intrinsic motivation processes).

Anxiety sensitivity mediates relations between anxiety (but not depression) and problematic smartphone use severity, adjusting for age and sex, in Chinese adolescents early in the COVID-19 pandemic

Risk factors for problematic smartphone use (PSU) have rapidly become an important area of research due to the prevalence of smartphones and functional impairment associated with PSU. Our aim was to examine relations between established predictors of PSU (depression and anxiety) and a potential mediator of PSU (anxiety sensitivity; AS). Participants (N = 4752) from junior and senior high schools in Tianjin, China completed a web‐based survey with measures of depression, anxiety, AS, and PSU. Descriptive and inferential analyses revealed significant differences between males and females on depression severity, and between junior and senior high school students on AS and PSU severity. Results of structural equation modeling indicated that anxiety was positively associated with AS when adjusting for depression; and AS was significantly associated with greater PSU severity, adjusting for age and sex. Additionally, AS mediated relations between anxiety and PSU severity. Current findings on AS are consistent with theoretical models of problematic internet use (Interaction of Person‐Affect‐Cognition‐Execution) and previous research linking AS to other kinds of behavioral addictions (e.g., smoking, alcohol use).

The Overlap Between Problematic Smartphone Use and Problematic Social Media Use: a Systematic Review

Purpose of Review

Over the last decade, problematic smartphone use (PSU) and problematic social media use (PSMU) have emerged as new potential problematic behaviours. Several studies have suggested that smartphones are predominantly used for social purposes (i.e., using messaging apps and social networking sites). The aim of the current article is to provide a systematic review of the extant literature that has explicitly analysed the association between PSU and PSMU in order to examine study characteristics in terms of samples analysed and effect sizes of the associations reported. This systematic review is based on the ongoing debate about whether the smartphone can be considered as the medium of one or more problematic activities, including PSMU.

Recent Findings

Existing evidence suggests that the effect sizes of the associations between PSU and PSMU are medium to large and large across the 13 studies included, with the largest correlations observed between PSU and problematic WhatsApp use or general PSMU. Overall, reviewed results suggest a partial overlap between the two problematic behaviours.

Summary

PSU and PSMU are overlapped mostly because the smartphone is a common medium to use social media, especially concerning instant messaging apps like WhatsApp. Moreover, PSU should be preferentially studied with a focus on specific types of apps used rather than a more holistic phenomenon.

How Theoretical Models Can Inspire Advances in Research and Clinical Practice: The Example of Behavioral Addictions

Abstract. Aims: In this narrative position paper, we will summarize some examples of theoretical models of behavioral addictions. We will then make some suggestions for how theoretical models may inspire both research and clinical practice in the context of behavioral addictions. Results: Current theoretical models typically distinguish between general and specific risk factors. It is commonly argued that based on conditioning processes, affective responses to specific stimuli (cue-reactivity and craving) develop within the course of behavioral addictions. Diminished control over the behavior is reflected in reductions in inhibitory control and executive functioning. Cognitive distortions, attentional biases, and behavior-related expectancies are also considerable mechanisms. Theoretical models have been used to inspire advances not only in research but also in clinical practice. For example, theoretical models have inspired the development of standardized treatment protocols. Conclusions: If theoretical models contributed more consistently to scientific studies, a better understanding of the processes underlying specific mental disorders could be facilitated, which could then promote updates and modifications of the theoretical models and improvements in clinical practice. Close connections and stimulating discussions between theorists and therapists are very important and beneficial for advances over time.