ArticleChildren (Basel, Switzerland)2024
Factors Predicting In-School and Electronic Bullying among High School Students in the United States: An Analysis of the 2021 Youth Risk Behavior Surveillance System.
Article in Children (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Weight Perception and Bullying among Overweight and Obese Students (Age 6-16 Years) in Amritsar District.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2026Article
- Bullying among students ecological insights from a school based adolescent health survey, Himachal Pradesh, India.PloS one · 2026Article
- Incorporating wrestling into physical education curriculum for the development of physical activity and anti-bullying intervention.Frontiers in psychology · 2025Article
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Authors and funding
6 authors.
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Abstract
backgroundBullying is a global public health problem with severe adverse effects on behavioral health. Understanding the predictors of victimization by bullying is essential for public policy initiatives to respond to the problem effectively. In addition to traditional in-person bullying, electronic bullying has become more prevalent due to increasing social interaction and identity formation in virtual communities. This study aims to determine the predictors of in-school and electronic bullying.
methodsWe employed multivariable logistic regression to analyze a nationally representative sample of 17,232 high school students in the United States, the 2021 Youth Risk Behavior Surveillance System national component. The survey was conducted during the COVID-19 pandemic, from September through December 2021. The factors examined included sociodemographic characteristics (age, gender, race), appearance (obesity), physically active lifestyles (being physically active, spending a long time on digital games), and risk-taking behavior (using marijuana).
resultsOur results indicated that sociodemographic characteristics were strong predictors of being bullied in school and electronically. Being obese is more likely to result in bullying in school (AOR = 1.32,
conclusionsInterventions addressing violence among adolescents can benefit from empirical evidence of risk factors for bullying victimization in high school.
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