El ciberacoso es un fenómeno de creciente preocupación social que afecta cada vez más a niños y adolescentes de todos los paí- ses desarrollados. A diferencia de la considerable literatura que hay sobre las relaciones entre el acoso escolar y el contexto familiar y escolar, todavía hay pocos trabajos sobre la influencia de estos entornos sociales en el problema del ciberacoso. Mediante una metodología cuantitativa, el objetivo principal del presente estudio fue analizar la influencia del contexto escolar y familiar en víctimas de ciberacoso. La muestra estuvo formada por 1.062 adolescentes (51,5% chicos y 48,5% chicas), de edades comprendidas entre los 12 y los 18 años (M=14,5; DT=1,62). Se establecieron tres grupos de contraste: cibervíctimas severas, cibervíctimas moderadas y no víctimas de ciberacoso. Los resultados del análisis de varianza indicaron que las cibervíctimas severas en comparación con las no víctimas puntúan significativamente más alto en conflicto familiar y obtienen puntuaciones más bajas en el resto de variables familiares (autoestima familiar, cohesión y expresividad), y variables escolares (implicación, afiliación y ayuda al profesor), consideradas en el estudio. Los análisis de regresión revelaron que la autoestima académica y familiar y algunas dimensiones del clima familiar y escolar predicen la cibervictimización en la adolescencia. Estos novedosos resultados muestran la importancia de incluir a la familia y a la escuela en los programas de prevención del ciberacosoCyberbullying is a phenomenon of growing social concern that affects an increasing number of children and adolescents from all the developed countries. Although there is a large body of literature on the relationships between school bullying and the family and school contexts, few studies have examined the influence of these social environments on the problem of cyberbullying. Using a quantitative methodology, the main objective of this study was to analyse the influence of the school and family contexts on victims of cyberbullying. The sample consisted of 1,062 Spanish adolescents (51.5% boys and 48.5% girls) from 11 to 18 years old (M=14.5; SD=1.62). Three comparison groups were formed: severe cyberbullying victims, moderate cyberbullying victims, and non-victims of cyberbullying. The results of the analysis of variance indicated that severe cyberbullying victims, compared to non-victims, scored significantly higher on family conflict and obtained lower scores on the remaining family (family self-concept, cohesion and expressiveness) and school (involvement, affiliation, and teacher support) variables considered in the study. Regression analyses revealed that academic and family self-concept and some dimensions of family and school climate predict cyber-victimization in adolescence. These new results point to the importance of including the family and the school in cyberbullying prevention program
Cyber dating violence is an increasing problem with serious negative consequences for adolescents. Further knowledge about related variables is necessary to develop preventive strategies. The aim of this study was to analyze the correlations among cyber dating violence victimization (cyber-control and cyber-aggression), offline dating violence victimization (physical, verbal-emotional, and relational) and adolescents' beliefs in myths of romantic love; and to examine possible differences in cyber-control victimization, cyber-aggression victimization and offline dating violence victimization (relational, physical and verbal-emotional) according to adolescents' levels of belief (low vs. high) in myths of romantic love. The role of offline dating violence victimization (physical, verbal-emotional and relational) and romantic myths as predictor variables of cyber-control and cyber-aggression victimization was also explored. All these analyses were carried out separately with boys and girls. Of an initial sample of 919 adolescents, those who have had a dating relationship in the past year (492 adolescents, M = 15.10, SD = 1.59) were included. The regression analyses revealed that offline dating violence victimization and romantic myths were significant predictors of cyber-control and cyber-aggression victimization for both boys and girls, but explained variance was higher for girls. Verbal-emotional offline dating violence victimization was the main predictor of cyber-control victimization, and physical and relational offline dating violence victimizations were the main predictors of cyber-aggression victimization. These results can be useful for developing more effective offline and cyber dating violence prevention programs.
Technological advancements and constant interaction with electronic devices have acquired an essential role in the general population and, especially, in the daily lives of adolescents. Currently, 70% of Spanish adolescents have a smartphone at the age of 12 (Cánovas, García-dePablo, Oliaga, & Aboy, 2014), and 98% at the age of 14 (Ditrendia Digital Marketing Trends, 2016). In fact, Spain is the European country with the largest percentage of access to the Internet via smartphones (European Commission, 2015). Undoubtedly, the exposure to and use of the new Information and Communication Technologies (ICT) by younger children and teenagers involves serious threats (Arnaiz, Cerezo, Giménez, & Maquilón, 2016; Garaigordobil, 2017), among which cyberbullying stands out. This type of abusive behavior among peers is characterized by the use of electronic devices, mainly smartphones and the Internet, to deliberately and reiteratively harass and intimidate a victim who cannot defend him/herself easily (Giumetti & Kowalski, 2016; Smith et al., 2008). In the past decade, a significant increase in cyberbullying in the population of children and adolescents has been confirmed in the digitalized countries in the world (Buelga, Martínez-Ferrer, & Cava, 2017). The prevalence rate of cybervictimization varies across studies from 2% to 57%
Due to the negative consequences of being bullied and the increase in cyberbullying among adolescents, there is a need for evidence-based programs to prevent and intervene in these types of peer violence. The aim of this study was to evaluate the effectiveness of the Prev@cib bullying and cyberbullying program, drawing on three theoretical frameworks: the ecological model, empowerment theory, and the model of personal and social responsibility. The Prev@cib program was evaluated using a repeated-measures pre-post-test design with an experimental group and a control group. The sample consisted of 660 adolescents between 12 and 17 years old (M = 13.58, SD = 1.26), randomly assigned to the experimental and control groups. Repeated-measures ANOVA of pre-post-test scores were conducted. Results showed a significant decrease in bullying and victimization and cyberbullying and cybervictimization in the experimental group, compared to the control group, indicating that the Prev@cib program is effective in reducing bullying and cyberbullying. Taking into account the harmful effects of these types of violence, the results have important implications in the prevention of these behaviors because they provide scientific evidence of the program’s effectiveness.
The internet has been a breakthrough for adolescents in many ways, but its use can also become dysfunctional and problematic, leading to consequences for personal well-being. The main objective is to analyze profiles related to problematic internet use and its relationship with health-related quality of life (HRQoL). An analytical and cross-sectional study was carried out in a region of northern Spain. The sample comprised 12,285 participants. Sampling was random and representative. Mean age and standard deviation was 14.69 ± 1.73 (11–18 years). The Spanish versions of the Problematic and Generalized Internet Use Scale (GPIUS2) and of the Health-Related Quality of Life (KIDSCREEN-27) were used. Four profiles were detected (non-problematic use, mood regulator, problematic internet use, and severe problematic use). The prevalence of these last two profiles was 18.5% and 4.9%, respectively. Problematic internet use correlated negatively and significantly with HRQoL. The severe problematic use profile presented a significant decrease in all dimensions of HRQoL. Analyses were carried out to extract a cut-off point for GPIUS2 (52 points). The results and practical implications are discussed.
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