Division of Adolescent and Young Adult Medicine, Department of Pediatrics (JM Nagata and G Singh), University of California, San Francisco, Calif, USA.
Department of Psychology (N Trompeter), Centre for Emotional Health, Macquarie University, Sydney, NSW, Australia.
Acad Pediatr. 2022 Nov-Dec;22(8):1287-1293. doi: 10.1016/j.acap.2022.07.003. Epub 2022 Jul 15.
To determine the prevalence and sociodemographic correlates of cyberbullying victimization and perpetration among a racially, ethnically and socioeconomically diverse population-based sample of 11-12-year-old early adolescents.
We analyzed cross-sectional data from the Adolescent Brain Cognitive Development (ABCD) Study (Year 2; N = 9429). Multiple logistic regression analyses were used to estimate associations between sociodemographic factors (sex, race/ethnicity, sexual orientation, country of birth, household income, parental education) and adolescent-reported cyberbullying victimization and perpetration.
In the overall sample, lifetime prevalence of cyberbullying victimization was 9.6%, with 65.8% occurring in the past 12 months, while lifetime prevalence of cyberbullying perpetration was 1.1%, with 59.8% occurring in the past 12 months. Boys reported higher odds of cyberbullying perpetration (AOR 1.71, 95% CI 1.01-2.92) but lower odds of cyberbullying victimization (AOR 0.80, 95% CI 0.68-0.94) than girls. Sexual minorities reported 2.83 higher odds of cyberbullying victimization (95% CI 1.69-4.75) than nonsexual minorities. Lower household income was associated with 1.64 (95% CI 1.34-2.00) higher odds of cyberbullying victimization than higher household income, however household income was not associated with cyberbullying perpetration. Total screen time, particularly on the internet and social media, was associated with both cyberbullying victimization and perpetration.
Nearly one in 10 early adolescents reported cyberbullying victimization. Pediatricians, parents, teachers, and online platforms can provide education to support victims and prevent perpetration for early adolescents at the highest risk of cyberbullying.
在一个种族、民族和社会经济背景多样化的 11-12 岁早期青少年人群中，确定网络欺凌受害和实施的流行率及其社会人口学相关性。
我们分析了青少年大脑认知发展（ABCD）研究（第 2 年；N=9429）的横断面数据。使用多变量逻辑回归分析来估计社会人口学因素（性别、种族/民族、性取向、出生国家、家庭收入、父母教育程度）与青少年报告的网络欺凌受害和实施之间的关联。
在整个样本中，网络欺凌受害的终生患病率为 9.6%，其中 65.8%发生在过去 12 个月内，而网络欺凌实施的终生患病率为 1.1%，其中 59.8%发生在过去 12 个月内。与女孩相比，男孩报告的网络欺凌实施的可能性更高（优势比 1.71，95%置信区间 1.01-2.92），但网络欺凌受害的可能性更低（优势比 0.80，95%置信区间 0.68-0.94）。性少数群体报告的网络欺凌受害的可能性比非性少数群体高 2.83 倍（95%置信区间 1.69-4.75）。与高家庭收入相比，较低的家庭收入与网络欺凌受害的可能性增加 1.64 倍（95%置信区间 1.34-2.00）相关，但家庭收入与网络欺凌实施无关。总屏幕时间，特别是互联网和社交媒体上的时间，与网络欺凌受害和实施均相关。
近十分之一的早期青少年报告了网络欺凌受害。儿科医生、家长、教师和在线平台可以提供教育，为处于网络欺凌高风险的早期青少年提供支持，以预防受害和制止实施。
