Social Epidemiology of Early Adolescent Cyberbullying in the United States

被引:0
|
作者
Nagata, Jason M. [1 ,13 ]
Trompeter, Nora [2 ]
Singh, Gurbinder [1 ]
Ganson, Kyle T. [3 ]
Testa, Alexander [4 ]
Jackson, Dylan B. [5 ]
Assari, Shervin [6 ,7 ,8 ]
Murray, Stuart B. [9 ]
Bibbins-Domingo, Kirsten [10 ]
Baker, Fiona C. [11 ,12 ]
机构
[1] Univ Calif San Francisco, Dept Pediat, Div Adolescent & Young Adult Med, San Francisco, CA USA
[2] Macquarie Univ, Ctr Emot Hlth, Dept Psychol, Sydney, NSW, Australia
[3] Univ Toronto, Factor Inwentash Fac Social Work, Toronto, ON, Canada
[4] Univ Texas Hlth Sci Ctr Houston, Dept Management Policy & Community Hlth, Houston, TX USA
[5] Johns Hopkins Univ, Johns Hopkins Bloomberg Sch Publ Hlth, Dept Populat, Family & Reprod Hlth, Baltimore, MD USA
[6] Charles R Drew Univ Med & Sci, Coll Med, Dept Family Med, Los Angeles, CA USA
[7] Charles R Drew Univ Med & Sci, Dept Urban Publ Hlth, Los Angeles, CA USA
[8] Charles R Drew Univ Med & Sci, Marginalizat Related Diminished Returns MDRs Res C, Los Angeles, CA USA
[9] Univ Southern Calif, Dept Psychiat & Behav Sci, Los Angeles, CA USA
[10] Univ Calif San Francisco, Dept Epidemiol & Biostat, San Francisco, CA USA
[11] SRI Int, Ctr Hlth Sci, Menlo Pk, CA USA
[12] Univ Witwatersrand, Sch Physiol, Johannesburg, South Africa
[13] 550 16th St,4th Floor,Mailroom 4100,Box 0503, San Francisco, CA 94143 USA
基金
美国国家卫生研究院;
关键词
adolescents; cyberbullying; pediatrics; population groups; screen time; social media; STUDENTS; VICTIMIZATION; PERPETRATION; METAANALYSIS; YOUTH;
D O I
暂无
中图分类号
R72 [儿科学];
学科分类号
100202 ;
摘要
OBJECTIVE: To determine the prevalence and sociodemo-graphic correlates of cyberbullying victimization and perpetra-tion among a racially, ethnically and socioeconomically diverse population-based sample of 11-12-year-old early adolescents.METHODS: We analyzed cross-sectional data from the Adoles-cent 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 cyberbul-lying victimization and perpetration.RESULTS: In the overall sample, lifetime prevalence of cyber-bullying victimization was 9.6%, with 65.8% occurring in the past 12 months, while lifetime prevalence of cyberbullying per-petration 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 victimiza-tion (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 associ-ated with cyberbullying perpetration. Total screen time, particu-larly on the internet and social media, was associated with both cyberbullying victimization and perpetration.CONCLUSIONS: 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.
引用
收藏
页码:1287 / 1293
页数:7
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