Heterosexual and nonheterosexual young university students’ involvement in traditional and cyber forms of bullying

Research has consistently found that school students who do not identify as self-declared completely heterosexual are at increased risk of victimization by bullying from peers. This study examined heterosexual and nonheterosexual university students’ involvement in both traditional and cyber forms of bullying, as either bullies or victims. Five hundred twenty-eight first-year university students (M= 19.52 years old) were surveyed about their sexual orientation and their bullying experiences over the previous 12 months. The results showed that nonheterosexual young people reported higher levels of involvement in traditional bullying, both as victims and perpetrators, in comparison to heterosexual students. In contrast, cyberbullying trends were generally found to be similar for heterosexual and nonheterosexual young people. Gender differences were also found. The implications of these results are discussed in terms of intervention and prevention of the victimization of nonheterosexual university students.

How research findings can inform legislation and school policy on cyberbullying.

Recent empirical research has found that the psychological consequences for young people involved in cyberbullying are more severe than in the case of traditional bullying (Campbell, Spears, Slee, Butler, & Kift, 2012; Perren, Dooley, Shaw, & Cross, 2010). Cybervictimisation has been found to be a significant predictor of depressive symptoms over and above that of being victimised by traditional bullying (Perren et al., 2010). Cybervictims also have reported higher anxiety scores and social difficulties than traditional victims, with those students who had been bullied by both forms showing similar anxiety and depression scores to cyberbullying victims (Campbell et al., 2012). This is supported by the subjective views of many young people, not involved in bullying, who believed that cyberbullying is far more harmful than traditional bullying (Cross et al., 2009). However, students who were traditionally bullied thought the consequences of traditional bullying were harsher than did those students who were cyberbullied (Campbell, et al., 2012). In Slonje and Smith’s study (2008), students reported that text messaging and email bullying had less of an impact than traditional bullying, but that bullying by pictures or video clips had more negative impact than traditional bullying.

Student's experiences with traditional bullying and cyberbullying : findings from a Romanian sample

The field of cyberbullying is relatively new and there is no universal consensus on its definition, measurement and intervention. Authors agree that bullying has entered into the digital domain and professionals require the skills to help identify and prevent these behaviours. Ninety two students were surveyed to determine their experience with different types of bullying behaviors (face-to-face, cyberbullying or both), as bully, victim or witness. Our objective was to explore the association between those types of bullying and anxiety. The results suggest a significant association between face-to-face bullying and anxiety. Similarly, there was significant association between experiencing both types of bullying and anxiety. Further studies are required with larger and more diverse samples in order to verify current findings and to test for additional associations.

Loneliness, social anxiety and bullying victimization in young people : a literature review

Loneliness is a distressing, complex, universal phenomena. This review focuses on loneliness in children and adolescents, specifically examining research on the relationship between young people’s social anxiety and loneliness and the role of bullying victimization and loneliness. The three concepts are distinct, yet inextricably intertwined as antecedents and consequences of each other. The constructs are bi-directional, often forming a feedback loop or negative cycle. Implications for interventions are addressed.

Self-labelling versus behavioural experience of workplace bullying : differences in sector- and industry-level prevalence and sources

This study reports on differences in self-labelling versus the behavioural experience of workplace bullying across sectors and industries for a sample of 6,406 Australian employees, as well as differences in source of workplace bullying. It was found that overall prevalence rates of workplace bullying were 2.9% (self-labelling method) and 4.0% (behavioural experience method). Exposure to workplace bullying was found to decrease with age. There was no significant difference between the public and private sectors, or among industries, in the prevalence of workplace bullying; however, two industries (Construction; Health and Community Services) showed a significantly higher rate of workplace bullying with the behavioural experience method compared to the self-labelling method. For the overall sample, the most prevalent source of workplace bullying was reported to be coworkers (49.1%), followed by clients (35.7%), and then supervisors (27.4%). Subordinates were rated as the source in 7.9% of cases. Closer examination of source as a function of sector and industry revealed a number of significant differences specific to sectors and industries, highlighting the need for tailored approaches for managing workplace bullying.

Sibling bullying perpetration: Associations with gender, grade, peer perpetration, trait anger, and moral disengagement

This study investigated bullying amongst siblings in both traditional and cyber forms, and the associations of gender, grade, peer bullying perpetration, trait anger and moral disengagement. The participants were 455 children in grades 5 to 12 (262 girls and 177 boys with 16 unknown gender) who had a sibling. As the number of siblings who only bullied by technology was low, these associations were not able to be calculated. However, the findings showed that the percentage of sibling traditional bullying perpetration (31.6%) was higher than peer bullying perpetration (9.8%). Sibling bullies reported engaging in complex behaviours of perpetration and victimisation in both the physical and in cyber settings, although the number was small. Gender, trait anger, moral disengagement and bullying peers at school (but not grade) were all significantly associated with sibling traditional bullying perpetration. The implications of the findings are discussed for bullying intervention and prevention programs to understand childhood bullying in diverse contexts.

On standby? A comparison of online and offline witnesses to bullying and their bystander behaviour

Given their ubiquitous presence as witnesses to school-yard bullying, the role of the ‘bystander’ has been studied extensively. The prevalence and behaviour of bystanders to cyberbullying, however, is less understood. In an anonymous, school-based questionnaire, 716 secondary school students from South-East Queensland reported whether they had witnessed traditional and/or cyberbullying, and how they responded to each type. Overlap in bystander roles between online and offline environments was examined, as was their relationship to age and gender. Students who witnessed traditional bullying were more likely to have witnessed cyberbullying. Bystanders’ behaviour was sometimes similar in both contexts of traditional and cyberbullying, mainly if they were outsiders but half of the 256 students who reported witnessing both traditional and cyberbullying, acted in different roles across the two environments. The implications of the findings are discussed in the context of previous research on cyberbullying and traditional-bystanders. Future research should further explore the role of bystanders online, including examining whether known predictors of traditional-bystander behaviour similarly predict cyber-bystander behaviour.

Bullying in children and adolescents : a modifiable risk factor for mental illness

It is a serious concern to health practitioners and policymakers that, in spite of substantial investment, there has been no meaningful decline in the prevalence of mental illness in Australia (Slade et al., 2009). It is now understood that a complex array of biopsychosocial factors confer varying degrees of risk of mental illness. Genetic predisposition, obstetric complications, environmental toxins, poverty, developmental delay, substance abuse, exposure to loss and trauma, chaotic family environments with accompanying abuse and neglect, chronic physical illness and maladaptive interpersonal interactions all contribute to an increased risk of developing mental disorders (Kieling et al., 2011). Bullying in childhood and adolescence is an identified risk factor for mental disorders, suicide attempts and drug and alcohol problems (Copeland et al., 2013; Moore et al., 2013)...

Prevalence of bullying and its relationship with trauma symptoms in young Iranian students

Objective Bullying and peer victimization in school are serious concerns for students, parents, psychologists, and school officials around the world. This descriptive study examined bullying/victimization among Iranian students and the relationship between bullying and trauma symptoms. Methods This study was a cross-sectional research and descriptive correlative study. Descriptive statistics and Pearson correlation were used to analyze the data. The Revised Olweus Bully/Victim Questionnaire and Trauma symptoms checklist for children (TSCC-A) were administered to 591(325males and 266 females) students aged 10 to 14 year. Results The results revealed that 38.4 % of students reported bullying behavior. In addition, victims had the highest level of depression, anxiety, and anger compared to uninvolved students. Bullies were not related to trauma symptoms. Conclusion Conclusions include detailed recommendations for further empirical studies.

Policies and Procedures to Address Bullying at Australian Universities

While bullying is often researched in children and adolescents and in the workplace, there is limited research in the emerging adult population, especially in students at university. This is perhaps due to the fact that bullying generally declines as children and young people become older (e.g., Nansel et al., 2001; Wang, Iannotti, & Nansel, 2009). Although this may indeed be the case, it is apparent that bullying does not completely abate when students graduate from high school. The plethora of literature evidencing workplace bullying, clearly shows that bullying continues beyond the school years (e.g., Hoel, Cooper, & Faragher, 2001; Privitera & Campbell, 2009). With the advent of cyberbullying in the last decade it has been shown that this particular form of bullying may not decrease with age as does traditional bullying (Kowalski & Limber, 2007; Raskauskas & Stoltz, 2007). In addition, we know there is a spike in prevalence rates during the transition from primary to high school Pellegrini et al., 2010), so it is possible that new university students are at an increased risk of victimisation due to this being a transition period. This has led to some interest in examining the prevalence of bullying in the emerging adult population at universities (Chapell, Casey, & de la Cruz, 2004; Pontzer, 2010; Wensley & Campbell, 2009).

Does Social Anxiety and Bullying Victimization Create Loneliness in Young People?

Loneliness is a distressing, complex, universal phenomena. This chapter focuses on loneliness in children and adolescents, specifically examining research on the relationship between young people’s social anxiety and loneliness and the role of bullying victimisation and loneliness. It answers the question does social anxiety and bullying victimization create loneliness in young people. It was found from a review of the literature that all three concepts are distinct yet inextricably intertwined as antecedents and consequences of each other. The constructs are bi-directional, often forming a feedback loop or negative cycle. In addition these variables can also be mediating and moderating variables. Implications for interventions are discussed.

Correlates of traditional bullying and cyberbullying perpetration among Australian students

This study investigated the associations of gender, age, trait anger, moral disengagement, witnessing of interparental conflict, school connectedness and the religious makeup of the school setting in the involvement in traditional bullying and cyberbullying perpetration. Five hundred Australian students completed an anonymous self-report, paper-based questionnaire. According to the results, 25.2% of the participants reported having engaged in traditional or cyberbullying perpetration. While trait anger and moral disengagement were associated with being a traditional bully, trait anger, interparental conflicts, moral disengagement and school connectedness were associated with being a traditional bully-victim. Additionally, trait anger and moral disengagement were associated with being a traditional-and-a-cyberbully. Our findings indicated that besides individual variables, the family and school environment have an impact on traditional and cyberbullying perpetration behavior. Results imply that any prevention attempts to reduce traditional and cyberbullying should consider students’ experiences both at home and at school.

Factors associated with health risk behavior among school children in urban Vietnam

Background Health risk behavior among young people is a public health problem in Vietnam. In addition, road traffic injuries are the leading cause of death for those aged 15–29 years. The consequences can be devastating for adolescents and their families, and can create a significant economic burden on society. Objective: The aim of this study was to identify protective and risk factors that may influence three health risk behaviors among school children: suicidal thinking (ST), drinking alcohol (DA), and underage motorbike driving (MD). Methods A cross-sectional survey of 972 adolescents (aged 12–15 years) was conducted in two secondary schools in Hanoi, Vietnam. The schools were purposely selected, one each from the inner city and a suburban area, from which classes (grade 6 to 8) were randomly selected. All students attending classes on survey days took part in the survey. The anonymous, self-completed questionnaire included measures of risk behavior, school connectedness, parental bonding, and other factors. Multivariable regression models were used to examine associations between the independent variables and the three health risk behaviors controlling for confounding factors. Results Young people in the inner city school reported a higher prevalence of all three risk behaviors than those in the suburban area (ST: 16.1% [95% confidence interval, or CI, 12.9–19.3] versus 4.6% [95% CI 2.7–6.5], p<0.001; DA: 20.3% [95% CI 16.8–23.8] versus 8.3% [95% CI 5.8–10.8], p<0.001, and MD: 10.1% [95% CI 7.4–12.8] versus 5.7% [95% CI 3.6–7.8], p<0.01). School connectedness and mother and father care appeared to be significant protective factors. For males, bullying in school was associated with suicidal thoughts, whereas for both males and females, school connectedness may be protective against suicidal ideation. Conclusion This study supports findings from other nations regarding suicidal thoughts and alcohol use, and appears to be one of the first to examine risk and protective factors forMD. Health promotion within schools should be introduced to improve students’ feelings of connectedness in combination with communication and education campaigns focusing on parental care and engaging teachers for the promotion of safer, supportive school environments.

The modern day bystander: Online and face-to-face bystander actions of adolescents in traditional bullying and cyberbullying

This study investigated whether bystanders of traditional bullying and cyberbullying used face-to-face methods, online methods or both methods when reporting, discouraging and providing support to the victims of traditional bullying and cyberbullying. A questionnaire was completed by 348 high school students (Years 7 – 12) from seven independent schools in Australia. Overall, students predominantly utilized face-to-face methods when reporting to others for both types of bullying. Older students were more likely to use online methods to discourage the traditional bully (i.e., asking the bully to stop). Males and older students were more likely to use online methods to support victims of traditional bullying. Females were more likely to use face-to-face methods to support victims of cyberbullying. Implications for practice and future research are discussed.