Bullying y cyberbullying: diferencias en función del sexo en estudiantes de quinto y sexto curso de educación primaria

Machimbarrena, Juan Manuel; Garaigordobil, Maite

doi:10.14349/sumapsi.2018.v25.n2.2

Cited by 13 publications

(13 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This result is consistent with the findings of the meta-analysis carried out by Sun and Fan (2018). However, other studies found a higher prevalence of peer cybervictimization among boys (Machimbarrena & Garaigordobil, 2018;Wong et al, 2018) while others found no differences by sex (DePaolis & Williford, 2015). A possible explanation for the results of the present study is that, in general, boys have higher levels of aggressiveness than girls, and therefore, girls would be victimized to a greater extent, both by boys and girls (Navarro et al, 2015;Sorrentino et al, 2019).…”

Section: Discussionsupporting

confidence: 92%

Epidemiology of peer cybervictimization and its relationship with health‐related quality of life in adolescents: A prospective study

González-Cabrera

López

Caba-Machado

et al. 2022

Journal of Adolescence

Self Cite

View full text Add to dashboard Cite

Introduction: Research focused on the association between peer cybervictimization and declining health-related quality of life (HRQoL) is scarce. Currently, few longitudinal studies find an association between these phenomena, and none focus on cybervictimization profiles. The main objectives are: (1) to analyze the point and period prevalence, and incidence of cybervictimization profiles (uninvolved, new, ceased, intermittent, and stable cybervictims); (2) to study the relationship between cybervictimization and HRQoL over time; (3) to determine the longitudinal impact on the HRQoL of each type of profile. Methods: A prospective study was conducted in three waves over 13 months. A total of 1142 adolescents aged 11-18 years participated in all the waves (630 girls, 55.2%). Results: The prevalence of victimization for the three waves was 21.6% (Wave 1; W1), 23.5% (W2), and 19.6% (W3), respectively. The period prevalence was 41.3%, and the accumulated incidence was 25.1%. It was found that 24% of the participants were new victims, 5.9% were intermittent victims, and 6% were stable victims. Being a cybervictim at W1 poses a relative risk of 1. 73 [1.29-2.32], that is, a twofold increased risk of presenting a low HRQoL 13 months later compared to those who are not cybervictims. Conclusion: One in four adolescents became a new cybervictim during the 13 months of the study. The adolescents who presented poorer HRQoL were the stable cybervictims.

show abstract

Section: Discussionsupporting

confidence: 92%

Epidemiology of peer cybervictimization and its relationship with health‐related quality of life in adolescents: A prospective study

González-Cabrera

López

Caba-Machado

et al. 2022

Journal of Adolescence

Self Cite

View full text Add to dashboard Cite

show abstract

“…In doing so, educators could target specific bullying behaviours at specific age groups so as to have the most impact. Of course, prevention methods are better than intervention and anti-bullying efforts should be implemented at a young (rather than older) age [30,55]. The inclusion of 10-and 11-year-olds in this research study has allowed us to see that, although it is not the group that suffers the most from specific behaviours besides physical bullying, the overall rates are quite high, with 1 in 4 students (27.1%) already being a victim at this age, and almost 1 in 10 being a bully-victim (9.6%).…”

Section: Discussionmentioning

confidence: 99%

“…The negative health consequences of bullying involvement have been well documented and consistently demonstrate that involvement in bullying (in any role) can have an impact on mental health even into adulthood [26][27][28][29]. This significant and negative impact has led researchers and health care professionals to highlight the need to study and prevent bullying as early as possible [30,31]. The increasingly early access to technology could also be contributing to an increase in the prevalence of cyberbullying among younger children [31,32].…”

Section: Introductionmentioning

confidence: 99%

Bullying, Cyberbullying and the Overlap: What Does Age Have to Do with It?

et al. 2021

View full text Add to dashboard Cite

School bullying and cyberbullying represent the most common forms of victimization during childhood and adolescence in many countries across the globe. Although they can be studied as distinct phenomena with their own defining characteristics, there is evidence to suggest that they are related and often co-occur. The present research aimed to estimate the rates of school bullying and cyberbullying, studied their evolution by age, and analyzed any possible overlap between the two. An empirical study was carried out with a large sample of children and adolescents in Galicia, Spain (N = 2083), where 10–17 year olds were presented with The European Bullying Intervention Project Questionnaire and European Cyberbullying Intervention Project Questionnaire. School bullying was found to be more prevalent than cyberbullying, with 25.1% involved as victims and 14.3% as bully-victims, while the cyberbullying rates were 9.4% for victims and 5.8% for bully-victims. Perpetration rates were similar for school and cyberbullying (4.4% and 4.3% respectively). The overlap between both phenomena adds to the evidence for a whole-community approach to tackling all types of bullying and victimization experiences, as opposed to each in silo. The clear age differences in bullying behaviours also suggest the appropriateness of tailoring anti-bullying programs to target specific age groups.

show abstract

“…Atendiendo al fenómeno ciberacoso, en consonancia con investigaciones previas (Buelga et al, 2015;Garaigordobil 2017Garaigordobil ., 2018Garaigordobil y 2019González et al, 2019;Kowalski et al, 2014;Lee y Shin, 2017;Machimbarrena y Garaigordobil, 2018), y con nuestra hipótesis, encontramos un mayor número de agresores de ciberacoso entre los chicos que entre las chicas.…”

Section: Discussionunclassified

Cyberbullying and partner cyberviolence: Related phenomena?

Gabarda¹,

Cuevas²,

Martí³

et al. 2021

Behav. Psychol.

View full text Add to dashboard Cite

This study focuses on analyzing different issues related to violence, such as the presence of violence through the Internet, the phenomenon of Cyberbullying and its relationship with the perpetration of violence against the partner, also through information technologies (ICT). The study takes into account the type of violence exercised through ICT, whether it is violence against the peer group, or violence against the partner. The sample is made up of 639 adolescents, between 12 and 18 years old, studying at four high schools. The results show that there is a relationship between the exercise of both forms of violence through the Internet. It can be inferred that those adolescents who exert violence towards their peers through social networks have a greater probability of attacking their partners through this same channel. Finally, the practical implications of these results are discussed.

show abstract

Bullying y cyberbullying: diferencias en función del sexo en estudiantes de quinto y sexto curso de educación primaria

Cited by 13 publications

References 38 publications

Epidemiology of peer cybervictimization and its relationship with health‐related quality of life in adolescents: A prospective study

Epidemiology of peer cybervictimization and its relationship with health‐related quality of life in adolescents: A prospective study

Bullying, Cyberbullying and the Overlap: What Does Age Have to Do with It?

Cyberbullying and partner cyberviolence: Related phenomena?

Contact Info

Product

Resources

About