Cyberbullying Victimization as a Predictor of Depressive Symptoms among Selected Adolescents Amid the COVID-19 Pandemic

Jeyaseelan Maria Michael, M. E. S. Reyes
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引用次数: 1

Abstract

Victimization via cyberbullying has become a significant mental health concern particularly among adolescents at risk of depression and other mental health issues. As the COVID-19 outbreak forced everyone to stay at home and participate in their educational, recreational, and entertainment activities online, this study investigated the relation between cyberbullying victimization and depressive symptoms among 612 college students in Tamilnadu, India. We hypothesized that experiences of cyberbullying victimization would predict depressive symptoms among the participants. Adolescents aged 18 to 19 from colleges in Tamilnadu completed an online survey composed of the Cybervictimization Questionnaire for Adolescents (CYVIC) and the Beck’s Depression Inventory-II (BDI-II). Results showed a significant positive relation between cyberbullying victimization and depression (r = 0.80, p < .001). Regression analysis revealed that cyberbullying victimization is a statistically significant predictor of depressive symptoms (r2 = 0.65). Likewise, impersonation (r = 0.70), written–verbal cyber victimization (r = 0.73), visual teasing/happy slapping (r = 0.69), and online exclusion (r = 0.67) contributed to the significant positive association between the variables. These findings can serve as a foundation for intervention programs to alleviate depressive symptoms by addressing cyberbullying experiences and conducting further research on the negative effects of cyberbullying victimization among adolescents.
网络欺凌受害作为COVID-19大流行期间选定青少年抑郁症状的预测因子
通过网络欺凌受害已成为一个重要的心理健康问题,特别是在有抑郁和其他心理健康问题风险的青少年中。由于新冠肺炎疫情迫使每个人都呆在家里,在网上参加他们的教育、娱乐和娱乐活动,本研究调查了印度泰米尔纳德邦612名大学生的网络欺凌受害与抑郁症状之间的关系。我们假设网络欺凌受害经历可以预测参与者的抑郁症状。来自泰米尔纳德邦大学的18至19岁的青少年完成了一项由青少年网络受害问卷(CYVIC)和贝克抑郁量表- ii (BDI-II)组成的在线调查。结果显示,网络欺凌受害与抑郁呈显著正相关(r = 0.80, p < 0.001)。回归分析显示,网络欺凌受害是抑郁症状的统计显著预测因子(r2 = 0.65)。同样,模仿(r = 0.70)、书面-口头网络受害(r = 0.73)、视觉戏弄/开心扇耳光(r = 0.69)和网络排斥(r = 0.67)对变量之间的显著正相关也有贡献。这些研究结果可以作为干预方案的基础,通过处理网络欺凌经历来缓解抑郁症状,并进一步研究网络欺凌受害者对青少年的负面影响。
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