Associations between executive functions and problematic social networking sites use

Adult attachment, social anxiety, and problematic social media use: A meta-analysis and meta-analytic structural equation model

The relationship between adult attachment (anxious attachment and avoidant attachment) and problematic social media use is controversial and contradictory. Hence, the present study clarified the relationship between adult attachment dimensions and problematic social media use through meta-analysis. To better explain the relationship, this study also established meta-analytic structural equation modeling to examine the mediating role of social anxiety in the relationship. This study used CMA and R software for data analysis. Forty-five effect sizes were included in the study, including 11,746 individuals. Results showed that anxious attachment was strongly correlated with problematic social media use (r = 0.319, 95 %CI[0.271, 0.366]), whereas avoidant attachment was weakly correlated with problematic social media use (r = 0.091, 95 %CI[0.011,0.170]). Moderating effects showed that the relationship between anxious attachment and problematic social media use was moderated by the measurement instrument. Meta-analytic structural equation modeling showed that anxious attachment had a significant positive effect on PSMU through social anxiety, anxious attachment had a significant positive effect on PSMU through social anxiety. This study clarifies inconsistencies in the existing literature through meta-analysis, providing reliable conclusions and novel perspectives. It assists clinical practitioners in developing tailored treatment programs for practical interventions. It is suggested that treatment for problematic social media use requires attention to individuals with insecure adult attachment and social anxiety. For individuals with high anxious attachment and social anxiety, it is essential to help them manage their social media use effectively and reduce their dependence on it. Concurrently, interventions for attachment avoidant individuals should focus on enhancing their social self-confidence to reduce the influence of social anxiety on their social media use.

Social anxiety and problematic social media use: A systematic review and meta-analysis

Some theories posit a close relationship between social anxiety and problematic social media use; however, empirical findings are inconsistent, and existing hypotheses are conflicting. Hence, we conducted a systematic review and meta-analysis to clarify the relationship between social anxiety and problematic social media use. After searching and screening the literature, we identified 53 studies, including 59,928 participants and 56 effect sizes, for analysis. A meta-analysis was subsequently performed using CMA software. Results showed that social anxiety and problematic social media use were highly positively correlated. The moderating effect results suggested that the relationship between social anxiety and problematic social media use was influenced by the measurement instrument, sex, publication year, and platform type; however, the relationship was not moderated by region and age. It is suggested to consider social anxiety in the treatment of problematic social media use.

The Impact of Problematic Social Media Use on Inhibitory Control and the Role of Fear of Missing Out: Evidence from Event-Related Potentials

Introduction

The general deficit in inhibitory control of problematic social media users has received widespread attention. However, the neural correlates of problematic social media use (PSMU) and inhibitory control remain unclear. Additionally, the co-occurrence of the fear of missing out (FoMO) with social media use is common, yet its role in the relationship between PSMU and inhibitory control has not been investigated.

Methods

This study aimed to examine the electrophysiological correlates of PSMU and inhibitory control using a modified two-choice oddball task combined with event-related potentials (ERPs), and to explore the role of FoMO in this relationship. A total of 66 participants with varying degrees of PSMU were included in the analysis based on the Problematic Mobile Social Media Usage Questionnaire.

Results

The study found that PSMU could impact inhibitory control. Specifically, as the PSMU score increases, the N2 amplitude is greater for social media-related pictures, and the P3 amplitude is smaller, while no significant differences are observed for neutral pictures. This suggests that PSMU affects inhibitory control by consuming more cognitive resources in the early conflict detection stage and leading to insufficient cognitive resources in the later stages of the inhibitory process. Furthermore, FoMO played a mediating role between PSMU and inhibitory control. PSMU could further impact inhibitory control through FoMO.

Conclusion

This study provides electrophysiological evidence for deficits in inhibitory control in PSMU and suggests that FoMO may further reduce inhibitory control in PSMU individuals.

Social media use and everyday cognitive failure: investigating the fear of missing out and social networks use disorder relationship

BACKGROUND

Nearly five billion individuals worldwide are using social media platforms. While the benefits of using social media, such as fostering social connections, are clear, ongoing discussions are focused on whether excessive use of these platforms might have adverse effects on cognitive functioning. Excessive social media use shares similarities with addictive behaviors and is believed to result from a complex interplay of individual characteristics, emotions, thoughts, and actions. Among these contributing factors, one of particular interest is the Fear of Missing Out (FoMO), a state where an individual apprehends that others are experiencing rewarding moments in their absence (but see more information on the FoMO trait/state debate in this article).

METHODS

In this study, we aimed to explore the intricate relationships between FoMO, tendencies towards Social Networks Use Disorder (SNUD), and everyday cognitive failures. To achieve this, we gathered a large sample of N = 5314 participants and administered a comprehensive set of questionnaires. These included a Fear of Missing Out (FoMO) scale, which assessed both trait and state aspects of FoMO, the Social Networking Sites-Addiction Test (SNS-AT), designed to gauge tendencies towards SNUD, and the Cognitive Failure Questionnaire (CFQ), which measured everyday cognitive lapses.

RESULTS

Our findings revealed that among non-users of social media, both FoMO and everyday cognitive failures were at their lowest levels. Further, in the group of social media users, we observed a significant relationship between FoMO and cognitive failures, which was mediated by SNUD tendencies. This mediation was particularly pronounced for the state component of FoMO, which encompasses maladaptive thoughts related to online behavior.

CONCLUSIONS

While our study is cross-sectional and thus cannot establish causality, one plausible interpretation of our findings is that higher FoMO tendencies may trigger excessive social media use, which in turn could lead to cognitive failures, possibly due to distraction and reduced attention to everyday tasks.

Neuropsychological Deficits in Disordered Screen Use Behaviours: A Systematic Review and Meta-analysis

Over the last few decades, excessive and disordered screen use has become more prevalent, prompting investigations into its associated consequences. The extent to which disordered screen use behaviours impact neuropsychological functioning has been reportedly mixed and at times inconsistent. This review sought to synthesise the literature and estimate the magnitude of overall cognitive impairment across a wide range of disordered screen use behaviours. We also sought to determine the cognitive domains most impacted, and whether the observed impairments were moderated by the classification of screen-related behaviours (i.e., Internet or gaming) or the format of cognitive test administration (i.e., paper-and-pencil or computerised). A systematic search of databases (Embase, PsycINFO, MEDLINE) identified 43 cross-sectional articles that assessed neuropsychological performance in disordered screen use populations, 34 of which were included in the meta-analysis. A random-effects meta-analysis revealed significant small/medium (g = .38) cognitive deficits for individuals with disordered screen use behaviours relative to controls. The most affected cognitive domain with a significant medium effect size (g = .50) was attention and focus followed by a significant reduction in executive functioning (g = .31). The classification of disordered screen use behaviours into Internet or gaming categories or the format of cognitive testing did not moderate these deficits. Additionally, excluding disordered social media use in an exploratory analysis had little effect on the observed outcomes. This study highlights a number of methodological considerations that may have contributed to disparate findings and shows that disordered screen use can significantly impact cognitive performance. Recommendations for future research are also discussed. Data for this study can be found at https://osf.io/upeha/ .

Effect of Social Media Addiction on Executive Functioning Among Young Adults: The Mediating Roles of Emotional Disturbance and Sleep Quality

Introduction

The increased research examining social media addiction with its negative consequences has raised concerns over the past decade. However, little research has investigated the association between social media addiction and executive functioning as well as the mechanisms underlying this relationship.

Methods

Using a survey, the present study examined the association between social media addiction and executive functioning via emotional disturbance and sleep quality among 1051 Chinese young adults, aged 18 to 27 years old (M=21.02 years [SD=1.89]; 34.41% male).

Results

The results showed that social media addiction had a significant negative association with executive functioning but positive associations with emotional disturbance and poor sleep quality. Structural equation modeling suggested that there was a significant direct effect between social media addiction and executive functioning. Indirect effects via two paths (ie, emotional disturbance alone, and both emotional disturbance and sleep quality) were also statistically significant.

Discussion

The findings indicate that both emotional disturbance and poor sleep quality are risk-enhancing mediators in the relationship between social media addiction and executive functioning. Intervention programs (eg, emotional regulation strategies) should be considered to reduce the adverse effects of social media addiction on cognitive impairment among young adults.

Development of a scale for capturing psychological aspects of physical-digital integration: relationships with psychosocial functioning and facial emotion recognition

The present work aims at developing a scale for the assessment of a construct that we called "physical-digital integration", which refers to the tendency of some individuals not to perceive a clear differentiation between feelings and perceptions that pertain to the physical or digital environment. The construct is articulated in four facets: identity, social relationships, time-space perception, and sensory perception. Data from a sample of 369 participants were collected to evaluate factor structure (unidimensional model, bifactor model, correlated four-factor model), internal consistency (Cronbach's α, McDonald's ω), and correlations of the physical-digital integration scale with other measures. Results showed that the scale is valid and internally consistent, and that both the total score and the scores at its four subscales are worthy of consideration. The physical-digital integration scores were found to be differently associated with digital and non-digital behaviors, individuals' ability to read emotions in the facial expressions of others, and indicators of psychosocial functioning (anxiety, depression, and satisfaction with social relationships). The paper proposes a new measure whose scores are associated with several variables that may have relevant consequences at both individual and social levels.

Applying network analysis to understand the relationships between impulsivity and social media addiction and between impulsivity and problematic smartphone use

BACKGROUND

Prior studies have revealed the relationships between impulsivity and social media addiction (SMA) and between impulsivity and problematic smartphone use (PSU) based on total scores on standardized self-report scales. However, there has been a lack of studies exploring how the dimensions of impulsivity and components of SMA or PSU are interrelated. The present study aimed to investigate the structural relationships between the dimensions of impulsivity and components of SMA and PSU and determine the critical bridge node using network analysis.

METHODS

A total of 325 healthy adults aged 18-36 years participated in the study. SMA and PSU were assessed using the Bergen Social Media Addiction Scale (BSMAS) and Smartphone Application-Based Addiction Scale (SABAS), respectively. Impulsivity was measured by the Barratt Impulsiveness Scale Version 11 (BIS-11). Network analysis was used to construct an SMA-Impulsivity network and a PSU-Impulsivity network. Bridge centrality (bridge expected influence, BEI) was estimated to identify influential bridge nodes.

RESULTS

In addition to relationships within each community, network analysis revealed that the dimensions of impulsivity were closely associated with the components of SMA and PSU. Particularly, I2 "motor impulsivity" had a relatively strong connection with SMA3 "mood modification" and SMA4 "relapse" in the SMA-Impulsivity network, and with PSU2 "conflict" and PSU5 "withdrawal" in the PSU-Impulsivity network. Moreover, I2 "motor impulsivity" was identified as the most critical bridge node in both networks.

CONCLUSION

These findings demonstrate potential pathways between different dimensions of impulsivity and the components of SMA and PSU, providing new evidence relevant to understanding the underlying mechanisms that account for how highly impulsive individuals develop SMA and PSU, and highlight the critical bridge node-motor impulsivity-that may be a promising and effective target for the prevention and treatment of SMA and PSU.

Problematic Social Networking Site use-effects on mental health and the brain

The association between excessive use of Social Networking Sites (SNS) and mental health is raising serious concern among health and education professionals. Problematic SNS use has been associated with an increased rate of depression, anxiety, stress, obsessive-compulsive disorder (OCD), attention-deficit/hyperactivity disorder (ADHD), and propensity to excessive alcohol use. It may also lead to vulnerability to aggression, cyberbullying and fear of missing out (FOMO). There is little evidence for cognitive impairments, but there is some preliminary event-related potentials (ERPs) evidence for inefficiency in allocating and monitoring resources and inhibitory control. Problematic SNS has been associated with the personality traits of conscientiousness agreeableness and neuroticism, and with narcissism. There is evidence for reduced sleep quality and quantity, longer sleeping latency and more sleep disturbance. The few brain imaging studies show some similarity between problematic SNS use and other addictions related to inhibitory-control mechanism, reduced gray matter volumes in the nucleus accumbens, amygdala, and the insula, suggesting rewarding effects of SNS use on the brain. Finally, there is preliminary evidence that treatment with Cognitive Behavior Therapy (CBT) can assist in short-term abstinence intervention to treat problematic SNS use. We conclude that problematic SNS use may have deleterious effects on emotional and social relationships, and more research is required on its effects on cognitive and brain function.

Prevalence of social media addiction across 32 nations: Meta-analysis with subgroup analysis of classification schemes and cultural values

In the cyber era, people interact with others not only face-to-face but also through social media platforms such as Facebook and Instagram. Social media addiction has emerged as a problem of global concern, with researchers all over the world conducting studies to evaluate how pervasive the problem is. However, the prevalence rates of social media addiction reported in the literature vary dramatically. The present meta-analysis aimed to systematically synthesize the extant research on social media addiction prevalence. Subgroup analysis and meta-regression were conducted to investigate whether the prevalence rates would differ by classification schemes, cultural values, and demographic factors. The meta-analysis involved 63 independent samples with 34,798 respondents from 32 nations spanning seven world regions. The random-effects meta-analytic findings revealed variations in prevalence among studies adopting distinct classification schemes. The pooled prevalence estimate was 5% (95% CI: 3%-7%) for studies adopting monothetic or strict monothetic classifications. A higher pooled prevalence estimate (13%; 95% CI: 8%-19%) was found for studies adopting a cutoff for severe level or strict polythetic classifications, and that estimate was even higher (25%; 95% CI: 21%-29%) for studies adopting a cutoff for moderate level or polythetic classifications. Moreover, cross-cultural comparisons revealed the pooled prevalence estimate obtained in collectivist nations (31%; 95% CI: 26%-36%) to be twofold higher than that obtained in individualist nations (14%; 95% CI: 9%-19%). This meta-analysis indicates that both the classification scheme used and cultural factors should be considered when interpreting the prevalence findings on social media addiction.

A systematic review of metacognitions in Internet Gaming Disorder and problematic Internet, smartphone and social networking sites use

Background

The use of new technologies is growing, and some authors have suggested that frequent use might hide a non‐chemical addiction (i.e., technological addiction). Over the last 5 years, several studies investigating the role of metacognitions in technological addictions have been published. We aim to provide the first systematic review focused on this topic, by updating the initial evidence highlighted by a previous systematic review on metacognitions across addictive behaviours (Hamonniere & Varescon, 2018).

Methods

Electronic literature databases (Pubmed, PsychINFO, SCOPUS and Web of Science) were searched to identify studies that examined the relationship between metacognitions and four different technological addictions (Internet Gaming Disorder, IGD; problematic Internet use, PIU; problematic smartphone use, PSU; and problematic social networking sites use, PSNSU).

Results

We found 13 empirical studies published between 2018 and 2021. Positive low to moderate cross‐sectional associations between the four technological addictions and both generic and specific metacognitions were found, in accordance with the metacognitive model of addictive behaviours. Positive beliefs about worry, negative beliefs about thoughts concerning uncontrollability and danger, beliefs about the need to control thoughts and a lack of cognitive confidence were associated with IGD, PIU, PSU and PSNSU.

Conclusions

The absence of longitudinal studies prevents us from providing definitive answers about the role of metacognitions in technological addictions. Despite this limitation, interventions that target metacognitions could be beneficial for people presenting with technological addictions.

The role of metacognitions and emotion recognition in problematic SNS use among adolescents

BACKGROUND AND AIMS

Problematic social networking sites (SNS) use is associated with important psychological problems among adolescents. Nevertheless, research on the aetiology of problematic SNS use is limited. Our aim was to investigate the role of metacognitions and emotion recognition in predicting problematic SNS use during the late adolescence period.

METHODS

Eight hundred and sixty-one high school students were recruited for the study. Participants completed the Bergen Social Media Addiction Scale (BSMAS), the Metacognitions Questionnaire for Children (MCQ-C), and the Children's Version of Reading the Mind in the Eyes Test (RMET).

RESULTS

A stepwise multiple linear regression analysis showed that all subdimensions of metacognitions (positive meta-worry, negative meta-worry, superstition, punishment, and responsibility beliefs, and cognitive monitoring), but not emotion recognition, independently predicted the BSMAS total score controlling for daily SNS use.

CONCLUSIONS

Our findings indicate that maladaptive metacognitions are associated, independently frequency of daily SNS use, to problematic SNS use among late adolescents. Interventions targeting dysfunctional metacognitions may aid adolescents who suffer from the detrimental effects of problematic SNS use.