Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/66712
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Type: Journal article
Title: Socioeconomic Inequality in Exposure to Bullying During Adolescence: A Comparative, Cross-Sectional, Multilevel Study in 35 Countries
Author: Due, P.
Merlo, J.
Harel-Fisch, Y.
Damsgaard, M.
Holstein, B.
Hetland, J.
Currie, C.
Nic Gabhain, S.
Gaspar de Matos, M.
Lynch, J.
Citation: American Journal of Public Health, 2009; 99(5):907-912
Publisher: Amer Public Health Assoc Inc
Issue Date: 2009
ISSN: 0090-0036
1541-0048
Statement of
Responsibility: 
Pernille Due, Juan Merlo, Yossi Harel-Fisch, Mogens Trab Damsgaard, Bjørn E. Holstein, Jørn Hetland, Candace Currie, Saoirse Nic Gabhainn, Margarida Gaspar de Matos, and John Lynch
Abstract: Objectives. We examined the socioeconomic distribution of adolescent exposure to bullying internationally and documented the contribution of the macroeconomic environment. Methods. We used an international survey of 162 305 students aged 11, 13, and 15 years from nationally representative samples of 5998 schools in 35 countries in Europe and North America for the 2001–2002 school year. The survey used standardized measures of exposure to bullying and socioeconomic affluence. Results. Adolescents from families of low affluence reported higher prevalence of being victims of bullying (odds ratio [OR] = 1.13; 95% confidence interval [CI] = 1.10, 1.16). International differences in prevalence of exposure to bullying were not associated with the economic level of the country (as measured by gross national income) or the school, but wide disparities in affluence at a school and large economic inequality (as measured by the Gini coefficient) at the national level were associated with an increased prevalence of exposure to bullying. Conclusions. There is socioeconomic inequality in exposure to bullying among adolescents, leaving children of greater socioeconomic disadvantage at higher risk of victimization. Adolescents who attend schools and live in countries where socioeconomic differences are larger are at higher risk of being bullied.
Keywords: Humans
Logistic Models
Odds Ratio
Regression Analysis
Cross-Sectional Studies
Aggression
Prejudice
Poverty
Socioeconomic Factors
Schools
Students
Adolescent
Child
Crime Victims
Income
Female
Male
Health Status Disparities
Rights: © 2009 American Public Health Association
DOI: 10.2105/AJPH.2008.139303
Published version: http://dx.doi.org/10.2105/ajph.2008.139303
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