Bullying And Cyberbullying In Adolescents From Disadvantaged Areas: Validation Of Questionnaires; Prevalence Rates; And Relationship To Self-Esteem, Empathy And Social Skills

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH(2020)

引用 51|浏览2
暂无评分
摘要
Although bullying and cyberbullying have been widely studied in diverse geographical areas, the number of studies in isolated regions, located in rainforests such as the Peruvian Amazonia, is low. Most research has been conducted in wealthy, Western countries, although disadvantaged areas are usually the most affected by various problems. Thus, the aims of this study were to validate bullying and cyberbullying measurement instruments among adolescents in the Peruvian Amazonia, to determine the prevalence rates of bullying and cyberbullying among this population, and to examine how bullying and cyberbullying relate to self-esteem, empathy, and social skills. The sample included 607 students from the region of Loreto (Peruvian Amazonia) who completed self-report questionnaires. Both questionnaires used in the sample were found to have good psychometric properties. Results showed that bullying and cyberbullying are prevalent among teenagers in the Amazonia. Low self-esteem and high affective empathy predicted bullying victimization. Being a bully was related to high assertiveness. Being a bully-victim was related to low self-esteem and low assertiveness. Cybervictims showed higher cognitive empathy. Cyberbullies showed higher affective empathy in comparison to uninvolved adolescents. Having low self-esteem and higher affective empathy were related to being a cyberbully/victim. This study provides a validated questionnaire that can be used for research and practice in the Amazonia. Based on the current results, tailored anti-bullying and anti-cyberbullying interventions with components focused on self-esteem, empathy, and social skills should be implemented in Peruvian secondary schools.
更多
查看译文
关键词
bullying, cyberbullying, self-esteem, empathy, social skills
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要