Social Anxiety Research Articles

Scene effects on disgusted facial expression detection in individuals with social anxiety: The role of emotional intensity

Individuals exhibiting high social anxiety (HSA) typically encounter challenges in identifying threatening stimuli with varying levels of intensity in different social scenes, ultimately affecting their social interactions. However, it is not well understood how social scenes, emotional intensity, and interaction influence the recognition of threat stimuli among HSA individuals (HSAs). To address this issue, a face recognition task was administered to 20 HSA participants and 22 individuals exhibiting low social anxiety (LSA) in this study. Results indicated that during the social scene presentation stage, HSAs produced larger P2 amplitude than LSA individuals (LSAs) no matter the valence of the scenes. During the face recognition stage, HSAs had smaller N170 amplitude than LSAs and exhibited lower recognition time for 2 % disgusted faces compared to LSAs. Furthermore, the consistency between scenes and faces led to faster recognition of disgusted faces in HSAs, but not in LSAs. Consequently, our findings suggested that HSAs exhibited unique cognitive processing patterns in social scenes, manifested by increased attention to scenes and decreased attention to faces. In addition, the emotional congruence between the scene and the faces could facilitate the recognition of faces by HSAs.

An online compassion-focused intervention for middle school students: the Inspiring Comfort program

ABSTRACT Interventions that build compassion for others may help increase social connectivity, combat loneliness, and promote positive adjustment in youth. However, limited research has examined the effects of this type of intervention on youth well-being. The goal of this small open pilot study was to examine the feasibility, acceptability, and outcomes of Inspiring Comfort, a 12-session group program in which youth learn and practice compassion, empathy, and helping others in distress. The program was implemented virtually during the COVID-19 pandemic with a sample of 10 students (ages 11 to 14) attending a non-profit special education school. Following the program, reductions in child-reported loneliness, depressive symptoms, and social anxiety were observed, along with increases in compassion for others and self-compassion. Students reported high satisfaction with the program, though challenges with the virtual format were noted. Findings suggest that a compassion-focused intervention may hold promise for addressing loneliness and internalising symptoms in youth, though randomised controlled trials with larger samples are needed.

Social anxiety and paranoid beliefs in adolescents

Social anxiety and paranoid beliefs in adolescents

Mothers and Babies Virtual Group (MBVG) for perinatal Latina women: study protocol for a hybrid type-1 effectiveness-implementation randomized controlled trial

BackgroundImmigrant Latinas (who are foreign-born but now reside in the USA) are at greater risk for developing postpartum depression than the general perinatal population, but many face barriers to treatment. To address these barriers, we adapted the Mothers and Babies Course—an evidence-based intervention for postpartum depression prevention—to a virtual group format. Additional adaptations are inclusion of tailored supplemental child health content and nutrition benefit assistance. We are partnering with Early Learning Centers (ELC) across the state of Maryland to deliver and test the adapted intervention.MethodsThe design is a Hybrid Type I Effectiveness-Implementation Trial. A total of 300 participants will be individually randomized to immediate (N = 150) versus delayed (N = 150) receipt of the intervention, Mothers and Babies Virtual Group (MB-VG). The intervention will be delivered by trained Early Learning Center staff. The primary outcomes are depressive symptoms (measured via the Center for Epidemiologic Studies-Depression Scale), parenting self-efficacy (measured via the Parental Cognition and Conduct Towards the Infant Scale (PACOTIS) Parenting Self-Efficacy subscale), and parenting responsiveness (measured via the Maternal Infant Responsiveness Instrument) at 1-week, 3-month, and 6-month post-intervention. Depressive episodes (Structured Clinical Interview for DSM-V- Disorders Research Version) at 3-month and 6-month post-intervention will also be assessed. Secondary outcomes include social support, mood management, anxiety symptoms, perceived stress, food insecurity, and mental health stigma at 1-week, 3-month, and 6-month post-intervention. Exploratory child outcomes are dysregulation and school readiness at 6-month post-intervention. Intervention fidelity, feasibility, acceptability, and appropriateness will also be assessed guided by the Reach, Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) framework.DiscussionThis study will be one of the first to test the efficacy of a group-based virtual perinatal depression intervention with Latina immigrants, for whom stark disparities exist in access to health services. The hybrid effectiveness-implementation design will allow rigorous examination of barriers and facilitators to delivery of the intervention package (including supplemental components) which will provide important information on factors influencing intervention effectiveness and the scalability of intervention components in Early Learning Centers and other child-serving settings.Registration.ClinicalTrials.gov NCT05873569.

The impact of social physique anxiety on clothing choices among female university students

The impact of social physique anxiety on clothing choices among female university students

The association between social rewards and anxiety: Links from neurophysiological analysis in virtual reality and social interaction game

Individuals’ affective experience can be intricate, influenced by various factors including monetary rewards and social factors during social interaction. However, within this array of factors, divergent evidence has been considered as potential contributors to social anxiety. To gain a better understanding of the specific factors associated with anxiety during social interaction, we combined a social interaction task with neurophysiological recordings obtained through an anxiety-elicitation task conducted in a Virtual Reality (VR) environment. Employing inter-subject representational similarity analysis (ISRSA), we explored the potential linkage between individuals’ anxiety neural patterns and their affective experiences during social interaction. Our findings suggest that, after controlling for other factors, the influence of the partner's emotional cues on individuals’ affective experiences is specifically linked to their neural pattern of anxiety. This indicates that the emergence of anxiety during social interaction may be particularly associated with the emotional cues provided by the social partner, rather than individuals’ own reward or prediction errors during social interaction. These results provide further support for the cognitive theory of social anxiety and extend the application of VR in future cognitive and affective studies.

Specificity of attentional control deficits in predicting symptoms of social anxiety

BackgroundThe extent to which individuals can flexibly allocate their attention towards adaptive cues in the social environment may play an important role in the maintenance of social anxiety. Attentional control (AC) describes the top-down ability to regulate one's attention and cognitive resources. Although low AC has been linked to psychopathology broadly, the specific relation between AC and social anxiety disorder (SAD) remains poorly understood. The present study aimed to clarify the role of AC in SAD by examining unique associations between AC and several facets of social anxiety, above and beyond general psychological distress. MethodsAdults endorsing elevated SAD symptoms (n = 123) were assessed for levels of AC, inhibitory control, social anxiety severity, social anxiety sensitivity, social avoidance/safety behaviors, stress, and depression. ResultsPartial correlations revealed that self-reported AC was negatively associated with all dimensions of SAD (rs = −0.20 to −0.29, ps < 0.05) after controlling for symptoms of stress and depression. Similarly, structural equation models showed that latent AC negatively predicted latent social anxiety (β = −0.21, p < .05), even after controlling for latent psychological distress. LimitationsThe study used a cross-sectional design, an analogue sample, and solely self-report measures in structural equation models. ConclusionsResults converge to suggest that subjective (but not objective) deficits in AC have a unique relation with several mechanisms involved in the development and maintenance of SAD. These findings partially support the applicability of Attentional Control Theory to SAD and point to AC as a potential treatment target.

Exploring mismatch negativity in children with congenital Microtia-Atresia: A Preliminary study

BackgroundTo investigate the characteristics of mismatch negativity (MMN) in terms of latency and amplitude in children with bilateral congenital microtia using a Bone conduction implant (Bonebridge), and to explore the relationship between cortical level auditory discrimination, speech perception, and psychosocial well-being. MethodsThis descriptive, observational, cross-sectional study compared three groups: eight children with bilateral congenital microtia and Bonebridge implants (bilateral group), eight children with unilateral congenital microtia and no hearing aids (unilateral group), and eight children with normal hearing (NH group). Participants underwent MMN evaluation using a classic oddball paradigm with a pure tone burst stimulus, featuring a 1000 Hz standard stimulus and a 1200 Hz deviant stimulus, presented in a sound field at 65 dBHL. Additionally, speech perception tests, the Meaningful Use of Speech Scale (MUSS), and psychosocial status questionnaires, including the Social Anxiety Scale for Children (SASC) and the Children’s Loneliness Scale (CLS), were administered to all subjects. ResultsThe bilateral group’s average MMN latency was 241.23 ± 29.47 ms, and the unilateral group’s was 209.96 ± 54.32 ms, both significantly longer than the NH group’s 146.05 ± 15.73 ms (p < 0.0001, F=3.509, 95 % CI 68.09 to 122.3 and p = 0.0097, F=11.92, 95 % CI 18.07 to 109.8, respectively). However, no significant difference was found in MMN latency between the bilateral and unilateral groups (p = 0.202, F=3.397, 95 % CI −18.84 to 81.36). The unilateral group scored significantly higher on the MUSS (38.63 ± 1.41 vs. 30.75 ± 3.80, p = 0.0001, F=7.276, 95 % CI −11.16 to −4.590), had lower CLS scores (47.13 ± 8.13 vs. 58.25 ± 8.39, p = 0.024, F=1.065, 95 % CI 1.652 to 20.60), and lower SASC scores (4.13 ± 2.09 vs. 6.50 ± 2.25, p = 0.062, F=1.204, 95 % CI −0.138 to 4.89) compared to the bilateral group. MMN latency in the bilateral group correlated with SASC scores. ConclusionThe MMN latency in congenital microtia patients may serve as an indicator of central auditory discrimination capabilities. In children with bilateral congenital microtia and Bonebridge implants, MMN latency can reflect social anxiety conditions to a certain degree.

Quiet quitting in the Dominican Republic: the employers’ perspective

Purpose This study aims to explore the phenomenon of “Quiet Quitting” from the perspective of employers in the Dominican Republic, particularly in the context of changes brought about by the COVID-19 pandemic. Design/methodology/approach From a qualitative approach, based on methods of Grounded Theory, in-depth interviews were conducted with managers from various sectors. The data were analysed using open, axial and selective coding techniques to identify emerging themes. Findings The study identifies four main scenarios contributing to quiet quitting: Social Disconnection, Stress and Anxiety, Re-evaluation of Priorities and Changes in Job Expectations. These factors indicate a significant shift in the employee–employer relationship post-pandemic. Research limitations/implications The exploratory nature of this study limits its generalizability. Practical implications Organizations can mitigate quiet quitting by implementing flexible work policies, promoting work-life balance and enhancing communication between supervisors and employees. Social implications Addressing quiet quitting can lead to improved employee well-being, higher productivity and a more positive work environment. Originality/value To the best of the authors’ knowledge, this research is the first to examine quiet quitting in the Dominican Republic from the employers’ perspective, providing unique insights into this understudied phenomenon in the region.

The Relationship between Traumatic Experiences, the Prevalence of Social Anxiety and Insecure Attachment among University Students

University students face unique challenges and are considered a vulnerable population, making it crucial to understand the impact of trauma on their mental health. This study aimed to investigate the associations between traumatic experiences, the prevalence of social anxiety, and insecure attachment among MSU students. The present study adopted a quantitative research approach using the Trauma Screening Questionnaire (TSQ), the DSM-5 Severity Rating of Social Anxiety Disorder (SAD-D), moreover, for the purpose of assessing PTSD, the Vulnerable Attachment Styles Questionnaire (VASQ), Social Anxiety Disorder Severity, and Insecure Attachment, respectively. A total of 406 respondents participated in the research. Through descriptive analysis, data were collected using three different assessments, revealing that 67% of the students were identified as having a high risk of post-traumatic stress disorder (PTSD), while 6.9% experienced severe social anxiety, which was relatively low compared to the total number. Additionally, 87% of the students displayed a high level of insecure attachment. In order to test the research hypotheses, Pearson correlation analysis, linear regression analysis and path analysis were conducted in this study. The study's findings demonstrated that there was a significant correlation between traumatic experiences and insecure attachment and a non-significant correlation between traumatic experiences and social anxiety. Additionally, traumatic experiences had a significant positive effect on insecure attachment but did not significantly affect social anxiety. Lastly, traumatic experiences did not significantly affect insecure attachment through social anxiety or traumatic experiences through social anxiety.

Social Anxiety Profiles and Psychopathological Symptom Differences in Spanish Adolescents.

Research on social anxiety (SA) over the years has revealed its associations with different psychopathological symptoms. This study aims to characterize SA profiles in a sample of Spanish adolescents and explore their differences in psychopathological symptoms. Data from 1,288 Spanish students in the 15 to 18 age range (M = 16.30, SD = 0.97, 47.5% female) were collected using random cluster sampling. The Social Anxiety Scale for Adolescents (SAS-A) and the Symptom Assessment-45 Questionnaire (SA-45) were employed. Four SA profiles were revealed by the Latent Profile Analysis (LPA): extreme SA, high SA, moderate SA, and low SA. Statistically significant differences in psychopathological symptoms were revealed by the MANOVA (effect sizes from d = -2.13 to d = -0.37). The extreme SA profile exhibited the most severe psychopathological symptoms, whereas the low SA profile displayed the mildest manifestations. Proposed interventions aim to support adolescents with SA risk profiles.

Oxytocin modulation of explicit pandemic stigma in men with varying social anxiety levels

ObjectiveStigma can create divisions within societies, hindering social cohesion and cooperation. Notably, it has significant public health implications, especially during infectious disease outbreaks like COVID-19. However, little is known about the neural and molecular basis of disease-related stigma and their association with individual differences. MethodsTo address this gap, we performed a double-blind, placebo-controlled, within-subject design study with 70 males, to investigate the effect of intranasal oxytocin (OT) administration on the explicit and implicit processing of disease-related stigma (i.e., COVID-19 stigma). After self-administrated 24 IU of OT or placebo, participants completed a stigma evaluation task and an Implicit Association Test (IAT) to assess the explicit and implicit processes of stigma evaluation, respectively. ResultsThe results showed that oxytocin amplified the differences between participants with high and low social anxiety in explicit COVID-19 stigma, with a higher inclination to attribute the stigmatized status of the stigmatized targets (i.e., COVID-19 related group) to personal causes in high social anxiety individuals, but reduced blame towards the stigmatized targets in low social anxiety individuals under oxytocin compared to placebo treatment. Furthermore, oxytocin strengthened the connections between responsibility attribution and the other processes (i.e., emotional, approach motivation, social deviance). While no modulation of oxytocin on implicit stigma emerged, oxytocin did modulate the associations between specific dimensions of explicit stigma (i.e., social deviance and approach motivation) and implicit stigma. ConclusionIn conclusion, these findings demonstrated that intranasal oxytocin administration could temporally impact the explicit cognitive judgment in disease-related stigma but not the implicit aspect; furthermore, it modulated in distinct ways in individuals with different levels of social anxiety. These findings highlight the trait-dependent oxytocin modulation on disease-related stigma, implying that oxytocin is partly involved in the endocrine system of disease-related stigma. By unraveling the molecular basis of stigma and its association with individual traits, such as social anxiety, we can tailor interventions to meet specific needs of different individuals in the future.

Detecting Longitudinal Trends between Passively Collected Phone Use and Anxiety among College Students

Introduction: Existing theories and empirical works link phone use with anxiety; however, most leverage subjective self-reports of phone use (e.g., validated questionnaires) that may not correspond well with true behavior. Moreover, most works linking phone use with anxiety do not interrogate associations within a temporal framework. Accordingly, the present study sought to investigate the utility of passively sensed phone use as a longitudinal predictor of anxiety symptomatology within a population particularly vulnerable to experiencing anxiety. Methods: Using data from the GLOBEM study, which continuously collected longitudinal behavioral data from a college cohort of N = 330 students, weekly PHQ-4 anxiety subscale scores across 3 years (2019–2021) were paired with median daily phone use records from the 2 weeks prior to anxiety self-report completion. Phone use was operationalized through unlock duration which was passively curated via Apple’s “Screen Time” feature. GPS-tracked location data was further utilized to specify whether an individual’s phone use was at home or away from home. Within-individual and temporal associations between phone use and anxiety were modeled within an ordinal mixed-effects logistic regression framework. Results: While there was no significant association between anxiety levels and either median total phone use or median phone use at home, participants in the top quartile of median phone use away from home were predicted to exhibit clinically significant anxiety levels 20% more frequently than participants in the bottom quartile during the first study year; however, this association weakened across successive years. Importantly, these associations remained after controlling for age, physical activity, sleep, and baseline anxiety levels and were not recapitulated when operationalizing phone use with unlock frequency. Conclusions: These findings suggest that phone use may be leveraged as a means of mitigating or coping with anxiety in social situations outside the home, while pandemic-related developments may also have attenuated this behavior later in the study. Nevertheless, the present results suggest promise in interrogating a larger suite of objectively measured phone use behaviors within the context of social anxiety.

Social anxiety and weight interact with body salience to affect experiences of social exclusion

ABSTRACT Background Individuals at a higher weight experience greater victimization and exclusion by peers, and limited research suggests that the salience of one’s body image may increase negative emotional reactions to social rejection. Additionally, social exclusion is related to higher levels of social anxiety (SA). We examined how body salience interacts with SA and weight to predict anxiety, self-esteem, and negative affect following social rejection. Methods Participants were undergraduate women (N = 186). We explored the interactive effects of SA, body mass index (BMI), and body salience (i.e., face versus body photo condition) on emotional response to exclusion in a social ostracism paradigm, Cyberball. BMI and self-reported SA were collected at baseline. One week later, participants played Cyberball and reported state affect, anxiety, and self-esteem before and after the game. Results The 3-way interaction of BMI, SA, and photo condition did not significantly predict post-exclusion state measures. Photo condition moderated the relationship between SA and post-exclusion anxiety and between BMI and post-exclusion anxiety. Conclusions Those with higher SA were particularly anxious following exclusion if their bodies were visible to others. Additionally, those with lower BMI experienced greater anxiety after exclusion when their body was visible than those with higher BMI.

From personality types to social labels: the impact of using MBTI on social anxiety among Chinese youth.

As the Myers-Briggs Type Indicator (MBTI) gains popularity among Chinese young people, it has undergone a gradual transition from being perceived as a personality assessment tool to being regarded as a social label. The objective of this study was to ascertain whether the use of the MBTI as a social label has an impact on social anxiety among Chinese youth groups. A questionnaire survey was conducted on social media platforms to recruit Chinese youth aged 18 to 35. A total of 247 males and 222 females participated in the study, and the data was analyzed quantitatively using SPSS software and the Process macro plugin. The study found no strong correlation between MBTI as a social label and social anxiety. Moreover, this study introduced ego identity, belonging, and impression management as mediating variables and found that, under the influence of ego identity and impression management, the use of MBTI has a significant impact on social anxiety. The research reveals the complex role of MBTI among Chinese youth and provides a new perspective for understanding the impact of online social labels on the mental health of youth groups. Of course, this study also has limitations in terms of sample size and variable control. Future research should expand the sample size, introduce more potential influencing factors, and further validate and expand the existing conclusions.

How to avoid sinking in swamp: exploring the intentions of digitally disadvantaged groups to use a new public infrastructure that combines physical and virtual spaces

With advances in digital technology, physical and virtual spaces have gradually merged. For digitally disadvantaged groups, this transformation is both convenient and potentially supportive. Previous research on public infrastructure has been limited to improvements in physical facilities, and few researchers have investigated the use of mixed physical and virtual spaces. In this study, we focused on integrated virtual and physical spaces and investigated the factors affecting digitally disadvantaged groups’ intentions to use this new infrastructure. Building on a unified theory of the acceptance and use of technology, we focused on social interaction anxiety, identified the characteristics of digitally disadvantaged groups, and constructed a research model to examine intentions to use the new infrastructure. We obtained 337 valid data from the questionnaire and analysed them using partial least squares structural equation modelling. The results showed positive relationships between performance expectancy, perceived institutional support, perceived marketplace influence, effort expectancy, and facilitating conditions. The influence of psychological reactance was significantly negative. Finally, social interaction anxiety had a regulatory effect on performance expectancy, psychological reactance, perceived marketplace influence, and effort expectancy. Its effects on perceived institutional support and facilitating conditions were not significant. The results support the creation of inclusive smart cities by ensuring that the new public infrastructure is suitable for digitally disadvantaged groups. Meanwhile, this study presents new theoretical concepts of new public infrastructures, mixed physical and virtual spaces, which provides a forward-looking approach to studying digitally disadvantaged groups in this field and paves the way for subsequent scholars to explore the field in theory and literature.

Psychological Balances in the Digital World: Dynamic Relationships Among Social Media Addiction, Depression, Anxiety, Academic Self-Efficacy, General Belongingness, and Life Satisfaction.

In the present era, the rapidly growing social media trends of the digital age have the potential to affect the psychological well-being of individuals. In this context, understanding how Social Media Addiction (SMA) interacts with various factors is important to understanding its potential impact on individuals' psychosocial health. In particular, the prevalence of SMA and its strong relationship with important variables such as anxiety, depression, stress, academic self-efficacy, general belongingness, and life satisfaction have received considerable attention from researchers and the society. This research aims to address the relationship between SMA and these variables in a holistic manner. The research further explored the relationship between life satisfaction and depression, anxiety, academic self-efficacy, and general belongingness. The research is based on a study conducted with 616 students (388 female and 228 male; 17-32 age range) at a state university in the Southeast of Turkey. Personal information form, Smartphone Addiction Scale, Depression Anxiety Stress Scale, Academic Self-Efficacy Scale, General Belongingness Scale, and Life Satisfaction Scale were used as data collection tools. Using a structural equation modeling approach, the research not only examined the significant relationships but also examined the mediating and moderating effects in more detail. According to the research results, SMA significantly affects academic self-efficacy, general belongingness, depression, stress and anxiety. Academic self-efficacy and general belongingness both impact life satisfaction. However, SMA does not have a significant effect on life satisfaction. Moreover, it is revealed general belongingness play effective roles in the relationship between SMA and life satisfaction. As a result of the research, it was revealed that gender plays a moderating role in the relationship between SMA and life satisfaction. It has been observed that gender has a moderating role in the relationships between academic self-efficacy, general belongingness, depression, anxiety and stress and life satisfaction. Conversely, there is no moderating influence of gender on the impact of SMA on academic self-efficacy, general belongingness, depression, anxiety, or stress. Consequently, the relationships between SMA and other variables play an important role in understanding their effects on individuals' mental health.

Social anxiety prediction based on ERP features: A deep learning approach

BackgroundSocial Anxiety Disorder is traditionally diagnosed using subjective scales that may lack accuracy. Recently, EEG technology has gained importance for anxiety detection due to its ability to capture stable and objective neurophysiological activities. However, existing methods mainly focus on extracting EEG features during resting states, with limited use of psychologically features like Event-Related Potential (ERP) in task-related states for anxiety detection in deep learning frameworks. MethodsWe collected EEG data from 63 participants exposed to four facial expressions and extracted task-relevant features. Using the EEGNet model, we predicted social anxiety and evaluated its performance using metrics such as accuracy, F1 score, sensitivity, and specificity. We compared EEGNet's performance with Deep Convolutional Neural Network (DeepConvNet), ShallowConvNet, Bi-directional Long Short-Term Memory (BiLSTM), and SVM. To assess the generalizability of the results, we carried out the same procedure on our prior dataset. ResultsEEGNet outperformed other models, achieving 99.16 % accuracy with Late Positive Potential (LPP). ERP components yielded higher accuracy than time-domain and frequency-domain features for social anxiety recognition. Accuracy was better for neutral and negative facial stimuli. Consistency across two datasets indicates stability of findings. LimitationsDue to limited publicly available task-state datasets, only our own were used. Future studies could assess generalizability on larger datasets from different sources. ConclusionsWe conducted the first test of ERP features in anxiety recognition tasks. Results show ERP features have greater potential in social anxiety recognition, with LPP exhibiting high stability and accuracy. Outcomes indicate recognizing social anxiety with negative or neutral facial stimuli is more useful.

Exploration of the Links Between Psychosocial Well-being and Face Recognition Skills in a French-Speaking Sample.

Face recognition abilities vary tremendously in the general population. People at the lower end of the spectrum, those with developmental prosopagnosia, report stress, anxiety or social interaction issues due to their poor face recognition abilities. It is thus important to develop adequate diagnostic tools convenient to use for clinicians and to examine relationships between face recognition skills and negative affects. In the present study, we provide a validated French translation of the 20-item prosopagnosia index (PI20), a self-report measure used to detect people with developmental facial identity recognition deficits (Shah et al., 2015; Tsantani et al., 2021). We also examined links between face recognition skills measured with the PI20 and a standard face recognition test (Cambridge face memory test-CFMT; Duchaine & Nakayama, 2006) and measures of social anxiety (social interaction anxiety scale, social phobia scale) and negative affects (state trait anxiety scale, Beck depression inventory). We did not find any significant correlation between the CFMT and measures of psychosocial well-being and only found a weak positive association between the PI20 and social interaction anxiety. Although this association is weak and warrants further research, raising awareness about developmental face recognition issues may help improve the well-being of people with facial identity recognition deficits and provide new investigation or intervention avenues for clinicians who treat patients with social interaction anxiety.

Emotional Intelligence Profiles and Cyber-Victimization in Secondary School Students: A Multilevel Analysis

The research examined how different profiles of emotional intelligence (attention, clarity, and emotional regulation) act as protective or risk factors against cyber-victimization, taking into account individual and behavioral variables such as gender, sexual orientation, self-esteem, social anxiety, Internet risk, and parental control among high school students (11–18 years). A simulated sample was used, which was derived from an experimental sample of 1908 subjects (50.7% girls). Statistical equivalence was ensured between the two samples, and a multilevel analysis was conducted using the emotional intelligence profiles as the grouping variable. The results showed that the variability in emotional intelligence profiles predicted 96.7% of the variability of cyber-victimization. Factors that increase this likelihood include excessive interpersonal attention and low emotional regulation, higher social anxiety, offline victimization, older age, high parental supervision, and low self-esteem. In addition, being male and heterosexual is associated with a lower risk of cyber-victimization than being female and non-heterosexual. In general, it is suggested that protective measures against cyber-victimization should warn about the risk of Internet use, avoid paternalistic behavior by adults, and reduce rumination or excessive attention to the opinions of others.