Attachment style moderates the relationship between social media use and user mental health and wellbeing

Association between problematic social networking use and anxiety symptoms: a systematic review and meta-analysis

A growing number of studies have reported that problematic social networking use (PSNU) is strongly associated with anxiety symptoms. However, due to the presence of multiple anxiety subtypes, existing research findings on the extent of this association vary widely, leading to a lack of consensus. The current meta-analysis aimed to summarize studies exploring the relationship between PSNU levels and anxiety symptoms, including generalized anxiety, social anxiety, attachment anxiety, and fear of missing out. 209 studies with a total of 172 articles were included in the meta-analysis, involving 252,337 participants from 28 countries. The results showed a moderately positive association between PSNU and generalized anxiety (GA), social anxiety (SA), attachment anxiety (AA), and fear of missing out (FoMO) respectively (GA: r = 0.388, 95% CI [0.362, 0.413]; SA: r = 0.437, 95% CI [0.395, 0.478]; AA: r = 0.345, 95% CI [0.286, 0.402]; FoMO: r = 0.496, 95% CI [0.461, 0.529]), and there were different regulatory factors between PSNU and different anxiety subtypes. This study provides the first comprehensive estimate of the association of PSNU with multiple anxiety subtypes, which vary by time of measurement, region, gender, and measurement tool.

Artificial intelligence and social media on academic performance and mental well-being: Student perceptions of positive impact in the age of smart learning

The advancement of artificial intelligence (AI) and the ubiquity of social media have become transformative agents in contemporary educational ecosystems. The spotlight of this inquiry focuses on the nexus between AI and social media usage in relation to academic performance and mental well-being, and the role of smart learning in facilitating these relationships. Using partial least squares-structural equation modeling (PLS-SEM) on a sample of 401 Chinese university students. The study results reveal that both AI and social media have a positive impact on academic performance and mental well-being among university students. Furthermore, smart learning serves as a positive mediating variable, amplifying the beneficial effects of AI and social media on both academic performance and mental well-being. These revelations contribute to the discourse on technology-enhanced education, showing that embracing AI and social media can have a positive impact on student performance and well-being.

Variation in social media sensitivity across people and contexts

Social media impacts people's wellbeing in different ways, but relatively little is known about why this is the case. Here we introduce the construct of "social media sensitivity" to understand how social media and wellbeing associations differ across people and the contexts in which these platforms are used. In a month-long large-scale intensive longitudinal study (total n = 1632; total number of observations = 120,599), we examined for whom and under which circumstances social media was associated with positive and negative changes in social and affective wellbeing. Applying a combination of frequentist and Bayesian multilevel models, we found a small negative average association between social media use AND subsequent wellbeing, but the associations were heterogenous across people. People with psychologically vulnerable dispositions (e.g., those who were depressed, lonely, not satisfied with life) tended to experience heightened negative social media sensitivity in comparison to people who were not psychologically vulnerable. People also experienced heightened negative social media sensitivity when in certain types of places (e.g., in social places, in nature) and while around certain types of people (e.g., around family members, close ties), as compared to using social media in other contexts. Our results suggest that an understanding of the effects of social media on wellbeing should account for the psychological dispositions of social media users, and the physical and social contexts surrounding their use. We discuss theoretical and practical implications of social media sensitivity for scholars, policymakers, and those in the technology industry.

Does internet use benefit the mental health of older adults? Empirical evidence from the China health and retirement longitudinal study

The mental health (MH) of older adults is a prominent public health concern. However, research regarding the impact of emerging Internet use on MH among older adults remains limited, particularly in transitional economies experiencing a rapidly aging population such as China. Thus, to address this research gap, this study uses data from the 2013-2018 waves of the China Health and Retirement Longitudinal Study. To investigate the causal relationship between Internet use and MH among older adults and explore the underlying channels through which this relationship operates. The results reveal a notable positive association between Internet use and MH among older adults. Furthermore, the study highlights social interaction, social trust, traveling expenses, and healthy habits as crucial channels through which Internet use can impact MH among older adults. The analysis also reveals how Internet use demonstrates a stronger positive effect on older individuals who have fewer chronic diseases and live with their offspring compared with their counterparts. These findings have significant policy implications, which thus emphasizes the need to enhance Internet use among older adults as a means of improving their MH.

The interplay of attachment styles and marital infidelity: A systematic review and meta-analysis

Objectives

Marital infidelity is a highly distressing experience for those involved. Understanding the psychological factors related to infidelity can help develop targeted interventions. The primary aim of this study was to assess the association between attachment styles and marital infidelity.

Methods

Seventeen studies were included, sourced from electronic databases including PubMed, Scopus, Web of Science, and PsycInfo, with no time limitations, up to April 2023. The search employed terms like "attachment AND marital infidelity." Study quality was evaluated using the Risk of Bias Assessment Tool from RevMan version 5.3.

Results

The meta-analysis involved a total of 13,666 participants, ranging from 208 to 4047 individuals. Findings showed that higher levels of anxiety and avoidance in attachment were significantly associated with increased marital infidelity (r = 0.18, 95 % CI = 0.14-0.22, p < 0.0001). Conversely, weaker attachment insecurity was linked to reduced rates of marital infidelity. Additionally, both dismissive and fearful attachment styles correlated with marital infidelity, with respective weighted effect sizes of r = 0.07, p < 0.001 (95 % CI = 0.04-0.10) and r = 0.19, p < 0.001 (95 % CI = 0.10-0.29). No association was found between preoccupied attachment and infidelity.

Conclusion

Individuals with insecure attachment styles, specifically those with high levels of anxiety or avoidance, are more likely to engage in marital infidelity. Attachment styles should be a focus in couples therapy, especially for treatment related to infidelity. Assessing and addressing these underlying attachment issues can better guide therapists in their work with couples facing infidelity.

The interplay between social media use and problematic internet usage: Four behavioral patterns

Objective

The study aims to identify typical interplay between the use of social media apps on smartphones and Problematic Internet Usage (PIU).

Method

Our study utilizes data from a smartphone app that objectively monitors user usage, including the apps used and the start and finish times of each app session. This study included 334 participants who declared a need to be aware of their smartphone usage and control it. Problematic Internet Usage (PIU) was measured using the Problematic Internet Use Questionnaire-Short Form-6 (PIUQ-SF6). The total PIU score can range from 6 to 30, with a score above 15 indicating that a person is at risk of PIU. Time spent on Social Media (SM) apps of Facebook, WhatsApp, and Instagram, and whether people used each of these apps were studied along with the total PIU score. K-Prototype clustering was utilized for the analysis.

Results

Four distinct clusters, typifying the relationship between social media use and PIU, were identified. All the individuals in Cluster 1 (Light SM Use Cluster; Cluster size = 270, 80.84% of total dataset) spent between 0 and 109.01 min on Instagram, between 0 and 69.84 min on Facebook, and between 0 and 86.42 min on WhatsApp and its median PIU score was 17. Those who were in cluster 2 (Highly Visual SM Cluster; Cluster size = 23, 6.89% of total dataset) all used Instagram, and each member spent between 110 and 307.63 min on Instagram daily. The cluster median PIU score and average daily usage of Instagram were respectively 20 and 159.66 min. Those who were in Cluster 3 (Conversational SM Cluster; Cluster size = 19, 5.69% of total dataset) all used WhatsApp, and spent between 76.68 and 225.22 min on WhatsApp daily. The cluster median PIU score and average time spent per day on WhatsApp were 20 and 132.65 min, respectively. Those who were in Cluster 4 (Social Networking Cluster; (Cluster size = 22, 6.59% of total dataset) all used Facebook, and each spent between 73.09 and 272.85 min daily on Facebook. The cluster median PIU score and average time spent per day on Facebook were 18 and 133.61 min respectively.

Conclusion

The clusters indicate that those who use a particular social media app spend significantly less time on other social media apps. This indicates that problematic attachment to social media occurs primarily for one of three reasons: visual content and reels, conversations with peers, or surfing network content and news. This finding will help tailor interventions to fit each cluster, for example by strengthening interpersonal skills and resistance to peer pressure in the case of Cluster 3 and increasing impulse control in the case of Cluster 2.

Problematic social networking sites use and online social anxiety: The role of attachment, emotion dysregulation and motives

Problematic Social Networking Sites Use (PSNSU) and social anxiety are associated. SNSs users may develop online social anxiety that may become a standalone problem. The present study aims to test the mediating role of emotion dysregulation and motives (coping, conformity, social, and enhancement) between attachment (anxiety and avoidance) and two outcomes (PSNSU and online social anxiety) in an integrated theory-driven model. Self-report questionnaires were completed by 756 SNSs users (50.4 % females; mean age = 28.74 years, SD = 8.00). Results of the path analysis supported the partial mediating role of emotion dysregulation in the association between attachment anxiety and both the outcomes and the serial mediating role via four and three motives in the association with PSNSU and online social anxiety, respectively. This study highlighted the role of several relational, emotional, and motivational factors that should be taken into account to tackle PSNSU and online social anxiety through clinical and prevention interventions.

Exploring the effects of social capital on the compulsive use of online social networks in civil unrest contexts

The use of online social networking sites has become part of everyday life for more than three billion people worldwide. However, its use may go beyond being a habit, leading to compulsive use behaviours that jeopardize the well-being of an individual and the whole society. This study proposes and evaluates a theoretical model that examines the four dimensions of social capital, mediated by bonding and bridging social capital, as drivers of compulsive use of online social networks in the context of civil unrest. We evaluate the model using partial least squares structural equation modelling with data collected from a developing country. We found that reciprocity is the most important driver for bonding and bridging social capital with online members. Whereas trust, contradicting most of the literature in the field, was not statistically significant over bonding and bridging social capital. Bonding social capital shows a significant association with compulsive use behaviour. On the other hand, the effect of bridging social capital on compulsive use behaviour, although not significant, may become significant in the presence of a strong usage habit.

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.

Digitalisation, Parenting, and Children's Mental Health: What Are the Challenges and Policy Implications?

In this narrative review, the relationships between digitalisation and the mental health status among children and youths will be discussed first. Second, amidst the pandemic, parents and children have much more time to spend together at home, so parenting plays a more significant role in determining children’s wellbeing. Therefore, how different parenting styles impact digitalisation and the mental health experienced by children and youths will be assessed. This narrative review aims to investigate the parenting conditions needed for children and youths to benefit from the growth of digitalisation, so that policies for digital transformation can be recommended. The outputs of this narrative review include recommending the endeavours of digital transformation that involve indiscriminately active inclusion and facilitating privileged young people, as well as their less advantaged counterparts, to maximise the advantages digitalisation offers.

A meta-analysis of the problematic social media use and mental health

BACKGROUND

Although previous meta-analyses were conducted to quantitatively synthesize the relation between problematic social media (SM) use and mental health, they focused on Facebook addiction.

AIMS

The purpose of this meta-analysis is to examine this relation by extending the research scope via the inclusion of studies examining problematic use of all platforms.

METHOD

One hundred and thirty-three independent samples (N =244,676) were identified.

RESULTS

As expected, the mean correlations between problematic SM use and well-being are negative, while those between problematic SM use and distress are positive. Life satisfaction and self-esteem are commonly used to represent well-being, while depression and loneliness are usually used to indicate distress. The mean correlations of problematic SM use with life satisfaction and self-esteem are small, whereas those of problematic SM use with depression and loneliness are moderate. The moderating effects of publication status, instruments, platforms and mean age are not significant.

CONCLUSIONS

The magnitude of the correlations between problematic SM use and mental health indicators can generalize across most moderator conditions.

Attachment anxiety predicts worse mental health outcomes during COVID-19: Evidence from two studies

COVID-19 has resulted in a mental health crisis across the globe. Understanding factors that may have increased individuals' risk of poor mental health outcomes is imperative. Individual differences in attachment styles have been shown to predict poorer mental health outcomes and insecure individuals struggle to cope with stressful situations. Therefore, we extended past research by examining whether higher attachment insecurity (anxiety and avoidance) predicted worse mental health over time during the COVID-19 pandemic. Study 1 examined mood and mood fluctuations daily over a week in the beginning of lockdown and depression and anxiety weekly over a five-week period (n = 200). Study 2 examined depression and anxiety before and during the pandemic (n = 100 couples). As predicted, individuals higher (vs. lower) in attachment anxiety, but not avoidance, reported greater depression and anxiety during the pandemic in both studies. Individuals lower in attachment anxiety experienced an improvement in mental health over time in Study 1 suggesting that more secure individuals may recover more quickly from the initial change in circumstances. Attachment styles did not significantly predict mood or mood fluctuations. Attachment anxiety is likely to be a risk factor for poor mental health outcomes during COVID-19.

Mediation of Problematic Use in the Relationship Between Types of Internet Use and Subjective Well-Being in Schoolchildren

Subjective well-being is a broad category of phenomena that includes people's emotional responses, domain satisfactions, and global judgments of life satisfaction. This research investigates how schoolchildren's subjective well-being is affected by the different types of technology use, in personal contexts, and, concurrently, whether these effects are different when the use of technology is problematic. The central hypotheses are as follows: (1) the use of the Internet affects the subjective well-being of schoolchildren negatively only when this use is problematic and (2) the effect on subjective well-being is different according to the type of Internet use. To respond to the objectives of the research, a survey was applied to 15-year-old adolescents (2,579 cases), distributed in 330 public schools, beneficiaries of a government program for the delivery of personal computers and Internet for a year. The different uses of the Internet were measured using frequency scales by type of activity (social, recreational, and educational). Problematic use scale measured the perception of negative consequences of the intensity of Internet use on a daily basis. Subjective well-being was measured by the Personal Well-Being Index-School Children (PWI-SC). Subsequently, for analytical purposes, three simple mediation models were created, whose dependent variable was PWI-SC, while its independent variables were Internet use scales differentiated by purpose (social, recreational, and educational) and problematic use as a mediating variable, as well as attributes of the subjects and their social environment, which were incorporated as control variables. The main results show that only if Internet use is expressed as problematic does it negatively affect subjective well-being. On the contrary, when the use of the Internet is not problematic, the effect is positive and even greater than the simple effect (without mediation) between these two variables. This finding is relevant, since it allows us to provide evidence that suggests that, when studying the effect that the intensity of the Internet, firstly, one must consider the mediating effect exerted by the network's problematic use and, secondly, that not all types of use have the same impact. Therefore, it is useful to enrich the discussion on subjective well-being and social integration of schoolchildren in the digital age.