Doxxing and Cyberbullying in Dermatology.

Doxxing, a type of cyberbullying, occurs when an individual's personal information is shared without consent and with malintent. Doxxing can be seen as a form of vigilantism, a way to hold others accountable for their actions or opinions; however, this form of justice can have catastrophic impacts on the victim, especially physicians. Since the COVID-19 pandemic, where physicians and healthcare providers strongly led public health advocacy efforts on social media, the frequency of doxxing and cyberbullying has increased. Diversity, Equity, and Inclusion (DEI) initiatives have also recently sparked controversy in dermatology and medicine, where advocates for DEI and those opposed to DEI initiatives have also been doxxed. This behavior is incredibly taxing on an individual's mental health, with substantial negative implications on a person's social, personal, and professional life. We discuss the ethical considerations of doxxing and avenues for better protecting physicians.

Cyberincivility among Adolescents: A Systematic Review of Qualitative Evidence.

BACKGROUND: The ubiquitous use of social media places adolescents at high risk for cyberincivility (disrespectful, insensitive, or disruptive online behaviors). Adolescents who experience cyberincivility can have mental health issues including depression and suicidal ideation. However, no reviews synthesized findings from qualitative studies on cyberincivility among adolescents, which was the aim of this review. METHODS: Eleven articles were extracted from MEDLINE, Embase, PsycINFO, ERIC, and Education Full Text. Study qualities were assessed using the JBI Critical Appraisal Checklist. A meta-ethnographic framework guided the thematic analysis. RESULTS: Five themes were identified: forms of cyberincivility, platforms used for cyberincivility, perceptions and understanding of cyberincivility, adverse impact on health, and perceptions of seeking support. Social media was often used for cyberincivility, and common forms of cyberincivility included impersonation, aggressive verbal behaviors, and social exclusion. Adolescents perceived cyberincivility as persistent and relentless, with severe health impacts including depression, but they hesitate to seek support. CONCLUSIONS: Considering the negative impact of cyberincivility on adolescents' physical and mental well-being, it is important to develop anti-cyberincivility programs in schools. Schools have opportunities to efficiently reach both perpetrators and victims of cyberincivility with anti-cyberincivility programs rooted in trust building and engagement from family, community, and peers.

Cyberbullying Perpetration and Victimization as Risk Factors for Self-Harm: Results From a Longitudinal Cohort Study of 13-14-Year-Olds in England.

PURPOSE: Cyberbullying is a crucial issue that affects adolescent mental health, with evidence to suggest that adolescents who are victims of cyberbullying are at higher risk for self-harm. However, longitudinal evidence is lacking, meaning the direction of effects cannot be established. This study investigated longitudinal associations between levels of cyberbullying involvement (bully, victim, or both), frequency, and self-harm a year later in an adolescent sample. METHODS: Data were collected from Year 9 students (13-14-year-olds; N = 1,195) enrolled in 19 schools in Southwest England using an online questionnaire with a 1-year follow-up period (October 2019-October 2020). Multivariable logistic regression analysis was conducted to test for associations between different levels of cyberbullying involvement at baseline and the likelihood of self-harm a year later, adjusting for key covariates. A secondary regression analysis also explored the associations between the frequency of cyberbullying involvement at baseline and subsequent self-harm. RESULTS: Compared to those with no cyberbullying involvement, individuals who were both victims and perpetrators (adjusted odds ratio = 2.94, 95% confidence interval: 1.99-4.34) as well as victims only (adjusted odds ratio = 2.81, 95% confidence interval: 1.95-4.04) showed an increased risk of subsequent self-harm. In terms of frequency, associations were found between frequent and occasional cyberbullying and self-harm for both victims and perpetrators; however, associations for the perpetrator group attenuated to the null following adjustment for covariates. DISCUSSION: Our findings highlight cyberbullying in early adolescence as a risk factor for subsequent self-harm. Cyberbullying prevention should be a priority for school mental health interventions, with consideration that most perpetrators of cyberbullying may also be victims.

Cyberbullying victimization and perpetration: The influence on cyberostracism and youth anxiety.

Cyberbullying is considered a major threat to adolescent anxiety. In this study, we aim to explore the simultaneous effects of cyberbullying victimization and perpetration on youth anxiety. Building on the childhood adversity model and the vulnerability-stress model, we test the model wherein cyberbullying exposure is linked with cyberostracism, which in turn is expected to be associated with an increase in anxiety. We collected data from 1115 Chinese youth aged 11-19 years based on the stratified random sampling method. Structure equation modelling was conducted in Amos 26.0 to examine the proposed theoretical model. The findings suggested that compared with cyberbullying perpetration, the experience of cyberbullying victimization led to a significantly higher risk of youth anxiety. Multiple mediation analyses revealed that the three dimensions of cyberostracism, namely cyber direct excluded, cyber indirect excluded and cyber ignored, mediated the association of cyberbullying victimization and perpetration with youth anxiety. These results indicate that cyberostracism could be a risk factor for youth anxiety, thus providing new direction regarding intervention programs to reduce anxiety symptoms in adolescents.

The roles of teacher and parental support on adolescent cyber-bystander behaviors: a path analysis.

Introduction: The role of bystanders in cyberbullying situations is critical, with the potential to significantly influence outcomes. Bystanders who demonstrate positive behaviors-such as reporting incidents or supporting victims-can help to mitigate the damaging effects of cyberbullying. Based on the Social Cognitive Theory, this study seeks to address the psychosocial mechanisms that underlie positive cyber-bystander behaviors. Methods: A total of 1,716 students in Grades 8-12 from three secondary schools in China participated in this study. Path analysis was utilized to delineate the relationships between internet self-efficacy, empathy, teacher and parental support, and cyber-bystander behaviors. Results: Adolescents who received greater support from teachers were more likely to demonstrate increased internet self-efficacy and empathy. In contrast, higher levels of parental warmth were associated with lower levels of internet self-efficacy. Teacher support and parental warmth exerted an indirect effect on positive bystander behaviors through empathy. Discussion: The importance of parental warmth paired with Internet self-efficacy in preventing online interpersonal violence and motivate active bystander behaviors is considerable. We recommend adopting a nuanced approach that differentiates between empathy and internet self-efficacy in cyber-bystander research.

The role of school climate on student disclosure of private information and cyberbullying: a comparison of regular and vocational school students in China.

Introduction: Adolescents are experiencing an unprecedented cyber-saturated environment where the disclosure of private information should be approached with caution. This study aims to investigate the effects of school environment, including student support, teacher support, and opportunities for autonomy, on students' disclosure of private information and their experiences with cyberbullying. Methods: In September 2022, a total of 1,716 students (mean age = 14.60, SD = 1.35) from three regular and vocational schools in China participated in the survey. Results: The results showed that 35.6% of the participants had experienced victimization by cyberbullying, and 12.6% had perpetrated cyberbullying. Vocational school students reported significantly higher rates of cyberbullying and lower levels of perceived school climate than students from regular school. Student support in the school environment was found to negatively affect both cyberbullying perpetration and victimization, with this impact appearing to be stronger in regular schools as compared to vocational schools. Opportunities for autonomy and the disclosure of private information were positively correlated with experiences of cyberbullying. Discussion: This study introduces a novel perspective that perceived school climate influences adolescents' disclosure of private information and their involvement in cyberbullying. The findings could provide implications for future research and practices aimed at child protection in cyberspace.

Interaction among participants in a collective intelligence experiment: an emotional approach.

Introduction: The construct of collective intelligence assumes that groups have a better capacity than individuals to deal with complex, poorly defined problems. The digital domain allows us to analyze this premise under circumstances different from those in the physical environment: we can gather an elevated number of participants and generate a large quantity of data. Methods: This study adopted an emotional perspective to analyze the interactions among 794 adolescents dealing with a sexting case on an online interaction platform designed to generate group answers resulting from a certain degree of achieved consensus. Results: Our results show that emotional responses evolve over time in several phases of interaction. From the onset, the emotional dimension predicts how individual responses will evolve, particularly in the final consensus phase. Discussion: Responses gradually become more emotionally complex; participants tend to identify themselves with the victim in the test case while increasingly rejecting the aggressors.

Social media threats and health among adolescents: evidence from the health behaviour in school-aged children study.

BACKGROUND: Social media are immensely popular among adolescents. Thus, concerns have been raised about the threats adolescents encounter on social media and the possible negative health consequences, such as depressive symptoms and anxiety. This study investigated the prevalence of nine social media threats: (1) cyberbullying, (2) sexual harassment, (3) racism, (4) unauthorized distribution of sensitive material, (5) phishing attempts, (6) misinformation, (7) the sale or distribution of drugs, (8) harmful or dangerous social media challenges, (9) content causing appearance pressures. The study also investigated how individual and social factors, problematic social media use (PSMU), and online communication with strangers are associated with social media threat exposure, as well as the association between social media threats and self-rated health, depressive feelings, and anxiety symptoms. METHODS AND FINDINGS: Nationally representative Health Behaviour in School-aged Children (HBSC) data from Finland were obtained from 2288 respondents aged 11, 13, and 15 years. Fixed effects regression models were applied. The most common threat, encountered daily and weekly, was misinformation. Regression models showed that individual and social factors, PSMU, and online communication with strangers explained adolescent exposure to social media threats in differing ways. Furthermore, certain factors (e.g., emotional intelligence, family support) were associated with encountering social media threats less frequently, whereas other factors (e.g., PSMU, online communication with strangers) were associated with more frequent encounters. Daily and weekly exposure to social media threats was systematically associated with poor self-rated health, frequent depressive feelings, and anxiety symptoms. CONCLUSIONS: Our study highlights the need for intervention and health promotion efforts to mitigate adolescent exposure to social media threats and ensuing negative health consequences.

Trends in Suicidality and Bullying among New York City Adolescents across Race and Sexual Identity: 2009-2019.

Despite evidence showing rising suicidality among lesbian, gay, and bisexual (LGB) and Black adolescents, separately, there is scant research on suicide risk trajectories among youth groups across both racial and sexual identities. Thus, we examined trajectories of self-reported suicidal ideation and attempt and their associations with bullying among New York City-based adolescents. We analyzed 2009-2019 NYC Youth Risk Behavior Survey data. We ran weighted descriptive and logistic regression analyses to test for trends in dichotomous suicidal ideation, suicide attempt, bullying at school, and e-bullying variables among students across both race/ethnicity and sexual identity. We assessed associations between suicidality trends and bullying with logistic regressions. Models controlled for age and sex. Suicidal ideation and attempt were 2 and 5 times more likely among LGB than heterosexual participants, respectively. Bullying at school and e-bullying were 2 times more likely among LGB than heterosexual participants. Black LGB participants were the only LGB group for which both suicidal ideation (AOR = 1.04, SE = .003, p < .001) and attempt (AOR = 1.04, SE = .004, p < .001) increased over time. Both increased at accelerating rates. Conversely, White LGB participants were the only LGB group for which both suicidal ideation (AOR = 0.98, SE = .006, p < .001) and attempt (AOR = 0.92, SE = .008, p < .001) decreased over time. These changes occurred in parallel with significant bullying increases for Black and Latina/o/x LGB adolescents and significant bullying decreases for White LGB adolescents. Bullying was positively associated with suicidal ideation and attempt for all adolescents. Findings suggest resources aimed at curbing rising adolescent suicide should be focused on Black LGB youth.

Association of Childhood Attention Deficit/Hyperactivity Disorder With Adolescent Traditional and Cyberbullying Victimization in the Digital Generation: A Population-Based Cohort Study.

PURPOSE: This population-based cohort study aimed to examine the association with childhood attention deficit/hyperactivity disorder (ADHD) and bullying experiences during adolescence among Digital Generation individuals, exploring both traditional and cyberbullying. METHODS: This study included data from 15,240 participants, collected from the Taiwan Adolescent to Adult Longitudinal Study project. Participants, initially in seventh and 10th grade in 2015, were selected through a multistage stratified sampling approach. Self-report questionnaires assessed traditional and cyberbullying victimization experiences during adolescence, with 5-year longitudinal follow-up. Childhood ADHD diagnoses were identified by linking data to Taiwan's National Health Insurance Research Database from 2000 to 2015. Logistic regression models were employed to examine the relationship between childhood ADHD and bullying victimization while controlling for relevant covariates. RESULTS: Individuals diagnosed with childhood ADHD exhibited a significantly higher likelihood of experiencing bullying during adolescence (adjusted odds ratio (aOR) = 1.52, 95% confidence interval (CI): 1.28-1.80). This association extended to various forms of bullying, including physical (aOR = 1.42, 95% CI: 1.20-1.68), verbal (aOR = 1.42, 95% CI: 1.20-1.67), relational (aOR = 1.45, 95% CI: 1.22-1.71), and cyber (aOR = 1.35, 95% CI: 1.14-1.61). Additional factors positively associated with bullying victimization included male, binge drinking, and depression, while a positive campus atmosphere was protective against bullying. However, there is no evidence for interactions between these factors and ADHD in their associations with bullying. DISCUSSION: Childhood ADHD increases the risk of both traditional and cyberbullying during adolescence. Recognizing this risk is essential for targeted interventions and further research on underlying mechanisms.

The effect of bullying and cyberbullying on predicting suicide risk in adolescent females: The mediating role of depression.

This paper analyzed the role of depression as a mediator in the association between bullying, cyberbullying, and suicide risk in adolescent females. A total of 751 Colombian adolescent females (M= 13.71, SD=1.897), who were administered the Plutchik Suicide Risk Scale, the Beck Depression Inventory, the European Bullying Intervention Project Questionnaire and Cyberbullying. Bullying victimization and aggression and cyberbullying victimization were found to contribute statistically significant effects that explaining 22 % of the variance in depression. The variables of victimization in bullying and cyberbullying and depression explained 64 % of the variance in suicidal risk, and depression mediated the association between victim and aggressor roles in bullying and cyberbullying in predicting suicidal risk, whose total direct and indirect effects are statistically significant. The findings support the role of depression as a mediating variable between bullying and cyberbullying and suicidal risk in female adolescents and highlight the importance of focusing prevention and intervention efforts on risk factors for depression and suicidal behavior in cases of bullying and cyberbullying.

Involvement in cyberbullying events and empathy are related to emotional responses to simulated social pain tasks.

Introduction: This study aims to explore the relationship between cyberbullying involvement either as a perpetrator or a victim and emotional responses to virtual social exclusion and inclusion. Previous research has predominantly focused on the impacts of in-person bullying. Our study shifts this focus to the cyber realm. Methods: A total of 156 adolescents living in northern Italy were recruited (Mage: 12.26; SD = 0.87; 43% female). After completing measures of empathy and involvement in cyberbullying, adolescents participated in the cyberball tasks. Latent profile analysis was used to identify subgroups. Results: We found three groups: Class 3, reporting negative responses to the social exclusion tasks and positive responses to the social inclusion tasks; Class 1, reporting neutral emotional responses to social inclusion and negative emotional responses to social exclusion; and Class 2, showing neutral responses to 'social exclusion' tasks and strongly positive responses to 'social inclusion' tasks. Linear regression revealed that cyberbullies report a typical emotional response to exclusion and inclusion tasks (Class 3), whereas cybervictims are more likely to report negative responses to both exclusion and inclusion events (Class 1). High levels of empathy are associated with the manifestation of a typical emotional response (Class 3), in contrast to an impaired emotional response characterized by neutral or positive responses to conditions of 'social exclusion' and positive responses to conditions of 'social inclusion' (Class 2). Conclusion: Results underscore the complex interplay between cyberbullying roles and emotional responses to virtual social experiences. Theoretical implications and limitations of the research are discussed.

Family Emotional Expressiveness and Adolescents' Cyberbullying Bystanders: The Mediating Role of Empathy.

Background: The significant influence of family emotional expressiveness (FEE) on adolescents' face-to-face social interactions is well-established. However, there has been limited investigation into potential links between FEE and adolescents' online social behaviors, especially cyberbullying bystander behaviors, which are pivotal in cyberbullying incidents. This study aimed to assess the relative importance of different aspects of FEE (positive FEE vs. negative FEE vs. the Positive-to-Negative ratio) in predicting adolescents' cyberbullying bystander behaviors, and the mediating roles of affective and cognitive empathy in these relationships. Methods: A sample of 1,952 adolescents (Mage = 14.18, SD = 1.33) completed questionnaires, including the Family Emotional Expressiveness Questionnaire, Basic Empathy Scale, and Cyberbullying Bystander Behavior Scale. SPSS 26.0 and Mplus 8.3 were used for analysis. Results: (1) Positive FEE exhibited a positive association with protective behavior and a negative association with indifferent behavior. Conversely, negative FEE showed positive associations with reinforcing and indifferent behaviors. However, the Positive-to-Negative ratio did not exhibit significant associations with any of the three bystander behaviors. (2) Negative FEE emerged as relatively more significant than both positive FEE and the Positive-to-Negative ratio in predicting reinforcing and indifferent behaviors. (3) Affective empathy mediated the relationship between positive FEE and reinforcing behavior, while cognitive empathy mediated the relationship between positive FEE and protective and indifferent behaviors. Moreover, cognitive empathy exerted a more influential role than affective empathy in this mediation process. Conclusion: Various aspects of FEE demonstrated distinct relationships with three cyberbullying bystander behaviors, with affective and cognitive empathy playing an important mediating role in the association. This finding holds substantial implications for the development of cyberbullying prevention strategies. Such strategies could target the reduction of negative emotional expression within adolescent families and the cultivation of both cognitive and affective empathy.

Cyberbullying among secondary school students: Analyzing prediction and relationship with background, social status, and ICT use.

This study explored the predictions of and relationships between background, social status, and the use of information and communication technology (ICT) in cyberbullying among 2430 secondary school students from schools affiliated with Thailand's Office of the Basic Education Commission. The stratified sampling method was used along with the Cyberbullying Questionnaire, Sociometric Status Questionnaire, Perceived Popularity Questionnaire, and ICT Use Questionnaire and data were collected through the CU Smart Sociometry web application and Google Forms. Data analysis was conducted to determine 1) demographic data using descriptive statistics; 2) correlation analysis of students' backgrounds, sociometric status, and ICT use against cyberbullying using the chi-square test; and 3) variables that predict cyberbullying among secondary school students using multinomial logistic regression. Results showed a link between cyberbullying and secondary school students' backgrounds, social status, and ICT use. Students with different backgrounds (sex and academic performance), social statuses (social preference and perceived popularity), and ICT use partook in different cyberbullying roles. Independent variables of sex, academic performance, social preference, perceived popularity, and ICT use all predicted cyberbullying by 33.3 % with statistical significance. Male students were noted to have a higher likelihood of being cyberbullies than female students, whereas female students were more likely to be cybervictims and bystanders. Moreover, students with low academic performance were more likely to be cyberbullies and cybervictims than high-performing students, with rejected students having the highest likelihood of being cyberbullies. Interestingly, the higher a student's popularity, the higher was their likelihood of being cyberbullies. Finally, cyberbullies had the highest average daily internet use, and students who had never had their guardians monitor their internet usage were more likely to be cyberbullies; students with moderate and good social media behavior were mostly bystanders.

A scoping review investigating the perspectives of people with mild to moderate intellectual disabilities on experiences of cyberbullying victimisation and its subtypes.

This scoping review examines cyberbullying victimisation in people with mild to moderate intellectual disabilities, focusing on specific types of cyberbullying behaviours, such as flaming, harassment, and stalking. A five-stage review of empirical research was conducted using 15 electronic databases, covering publications from October 1969 to January 2024. Twelve studies were selected, reporting cyberbullying victimisation rates ranging from 5% to 64%. Harassment was the most common behaviour experienced. However, flaming, cyber-stalking, griefing, and shaming have not been thoroughly investigated. The impact and coping strategies, including support mechanisms, also lack research. Further investigation is needed to understand the various types of cyberbullying experienced by people with intellectual disabilities and to develop coping and resilience strategies. Recommendations for future research and practice are provided.

Pandemic Stress and Cyberbullying Among Adolescents During China's Outbreak of Omicron: Examining the Roles of Perceived Safety and Family Cohesion.

The COVID-19 pandemic posed risks to the psychosocial development of children and adolescents in the digital age. Under such a background, this study aims to examine the effects of pandemic stress on cyberbullying perpetration and victimization among Chinese adolescents, and to explore the mediator of perceived safety and the moderator of family cohesion underlying this association, during China's outbreak of Omicron. A sample of 822 adolescents was obtained from Taizhou in Zhejiang Province, China, based on a multistage cluster random sampling method. The results showed that pandemic stress was positively associated with cyberbullying perpetration and victimization. Moreover, pandemic stress negatively predicted perceived safety, which in turn, increased the probability of cyberbullying perpetration and victimization. Furthermore, family cohesion moderated the effects of pandemic stress on cyberbullying perpetration and victimization. This study contributes to practical implications for policy making and social work practices regarding how to protect adolescents from cyberbullying during the pandemic.

A comparative analysis of adolescents' emotions and emotion regulation strategies when witnessing different cyberbullying scenarios.

The search for greater popularity and acceptance by peers increases the use of social networks that may cause cyberbullying. The high number of adolescents who observe this phenomenon may help reduce the negative impact on the victims. Emotion regulation is an important predictor of adolescents' psychological adjustment and social competence to adopt a prosocial behavior. Bystanders of these incidents may misinterpret what they see, due to specific cyberbullying characteristics which may influence emotion regulation negatively. Studies about emotions and emotion regulations in bystanders are scarce. Therefore, this study aims to investigate the emotional reactions and emotional regulation strategies of bystanders while witnessing various cyberbullying scenarios (posting photographs, direct threats, offences to integrity, threats to share personal information), as well as to focus on different behavior, victim characteristics, aggressor traits, and spectator reactions. A convenience sample of 143 adolescents (from 12 to 17 years old) was used. Results showed that worry and sadness were the most expressed emotions in all scenarios (mainly for girls) and posting a photograph was considered more concerning for girls and boys both. To regulate emotions, participants used distraction (especially seven graders) and rumination strategies. Nonetheless, when posting a photo without permission, they all adopted prosocial behavior (boys and girls) because they considered it more serious. Seventh graders adopted less prosocial behavior than eighth graders. In short, girls were more prosocial than boys. Boys may have more difficulty in regulating emotions properly and it may contribute to not intervening. Also, younger adolescents may have experienced less emotional maturity. Therefore, developing programs based on socio-emotional skills, which increase awareness of the seriousness of cyberbullying, can teach youth how to deal with emotions in order to regulate them effectively, thus increasing emotional maturity.

Addressing cyberbullying in Urdu tweets: a comprehensive dataset and detection system.

The prevalence of cyberbullying has reached an alarming rate, affecting approximately 54% of teenagers who experience various forms of cyberbullying, including offensive hate speech, threats, and racism. This research introduces a comprehensive dataset and system for cyberbullying detection in Urdu tweets, leveraging a spectrum of machine learning approaches including traditional models and advanced deep learning techniques. The objectives of this study are threefold. Firstly, a dataset consisting of 12,500 annotated tweets in Urdu is created, and it is made publicly available to the research community. Secondly, annotation guidelines for Urdu text with appropriate labels for cyberbullying detection are developed. Finally, a series of experiments is conducted to assess the performance of machine learning and deep learning techniques in detecting cyberbullying. The results indicate that fastText deep learning models outperform other models in cyberbullying detection. This study demonstrates its efficacy in effectively detecting and classifying cyberbullying incidents in Urdu tweets, contributing to the broader effort of creating a safer digital environment.

Prevalence of Cyberbullying Perpetration and Cyberbullying Victimization among Nursing Students in Jordan.

Introduction: Cyberbullying is a form of bullying or harassment carried out online with the intent to harm others mainly using social media sites. Objective: To investigate cyberbullying prevalence and associated factors among nursing students in Jordan. Methods: A descriptive, cross-sectional study was conducted. A convenience sample of 428 Jordanian nursing students from three private Jordanian universities was involved in the study. Data were collected in 2022 using the sociodemographic characteristics sheet, cyberbullying perpetration (CBP) scale; and cyberbullying victimization (CBV) scale. Multiple linear regression analysis was performed to identify variables associated with the CBP and CBV scores. Results: About 30.1% of the students were not involved in any cyberbullying, while 8.6% were categorized as cyberbullying perpetrators only, 20.4% as victims only, and 40.9% were categorized as cyberbullying perpetrators and victims at the same time. Visual /sexual perpetration and verbal/written victimization were the most prevalent forms of cyberbullying among the studied nursing students. Increasing age was associated with a decreased CBP (P < 0.05) and CBV (P < 0.01), while male gender was associated with increased cyberbullying perpetration (P < 0.01). Conclusions: The prevalence of cyberbullying among nursing students in the current study was alarming. The study showed that age was negatively associated with CBP and CBV while being male was associated with increased CBP. Future research may want to consider using a longitudinal research design with more testing variables and a more comprehensive examination of potential causes and impacts of cyberbullying in nursing students. The development of specific policies to combat cyberbullying among Jordanian nursing students is also recommended.

The association between undergraduate nursing students' health literacy and bullying and cyberbullying victimization.

BACKGROUND: Bullying and cyberbullying victimization are common among undergraduate nursing students. However, evidence regarding health literacy association with bullying and cyberbullying victimization is lacking. PURPOSE: To investigate the association between health literacy and bullying and cyberbullying victimization in undergraduate nursing students. METHODS: A cross-sectional design was used with a sample of undergraduate nursing students (N = 397). The students completed three data collection scales (Forms of Peer Victimization Scale, Florence Cyberbullying-Cybervictimization Scales, and Health Literacy Questionnaire) and a demographics questionnaire. Data analysis was performed using cluster analysis and independent samples t-test. RESULTS: The mean age of students was 20.93 (SD = 2.16). Cluster analysis revealed that there were two clusters; undergraduate nursing students in cluster 1 had lower scores on health literacy and higher scores on bullying and cyberbullying victimization. The t-test results showed that undergraduate nursing students with a history of bullying victimization had lower scores on health literacy scales than those who reported no exposure to bullying victimization (p < .05). The largest mean difference was found in the "social support for health" scale. CONCLUSION: The findings of this study provide evidence that health literacy is a key determinant of mitigating bullying and cyberbullying victimization in undergraduate nursing students.