ArticleAcademic pediatrics
Identifying children at risk for being bullies in the United States.
Article in Academic pediatrics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.
- Socioeconomic status and bullying: a meta-analysis.American journal of public health · 2014Pooled it
- Heterogeneous impact of anti-bullying laws on school bullying in the State of Georgia.PloS one · 2025Article
- Perceived Social Support and Health Care Spending as Moderators in the Association of Traditional Bullying Perpetration with Traditional Bullying and Cyberbullying Victimisation among Adolescents in 27 European Countries: A Multilevel Cross-National Study.International journal of environmental research and public health · 2024Article
- Factors Associated With Bullying Victimization and Bullying Perpetration in Children and Adolescents With ADHD: 2016 to 2017 National Survey of Children's Health.Journal of attention disorders · 2022Article
- Bullying experience of pupils in Nigerian primary schools.Medicine · 2020Article
- Transgender Identity Is Associated With Bullying Involvement Among Finnish Adolescents.Frontiers in psychology · 2020Article
- Using a Mixed-Methods Approach to Analyze Traumatic Experiences and Factors of Vulnerability Among Adolescent Victims of Bullying.Frontiers in psychiatry · 2019Article
- The Structure of Co-Occurring Bullying Experiences and Associations with Suicidal Behaviors in Korean Adolescents.PloS one · 2015Article
- Bullying victimisation, internalising symptoms, and conduct problems in South African children and adolescents: a longitudinal investigation.Journal of abnormal child psychology · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 1 country.
Funding
Abstract
objectiveTo identify risk factors associated with the greatest and lowest prevalence of bullying perpetration among U.S. children.
methodsUsing the 2001-2002 Health Behavior in School-Aged Children, a nationally representative survey of U.S. children in 6th-10th grades, bivariate analyses were conducted to identify factors associated with any (once or twice or more), moderate (two to three times/month or more), and frequent (weekly or more) bullying. Stepwise multivariable analyses identified risk factors associated with bullying. Recursive partitioning analysis (RPA) identified risk factors which, in combination, identify students with the highest and lowest bullying prevalence.
resultsThe prevalence of any bullying in the 13,710 students was 37.3%, moderate bullying was 12.6%, and frequent bullying was 6.6%. Characteristics associated with bullying were similar in the multivariable analyses and RPA clusters. In RPA, the highest prevalence of any bullying (67%) accrued in children with a combination of fighting and weapon-carrying. Students who carry weapons, smoke, and drink alcohol more than 5 to 6 days/week were at greatest risk for moderate bullying (61%). Those who carry weapons, smoke, have more than one alcoholic drink per day, have above-average academic performance, moderate/high family affluence, and feel irritable or bad-tempered daily were at greatest risk for frequent bullying (68%).
conclusionsRisk clusters for any, moderate, and frequent bullying differ. Children who fight and carry weapons are at greatest risk of any bullying. Weapon-carrying, smoking, and alcohol use are included in the greatest risk clusters for moderate and frequent bullying. Risk-group categories may be useful to providers in identifying children at the greatest risk for bullying and in targeting interventions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.