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Determinants for Bullying Victimization among 11–16-Year-Olds in 15 Low- and Middle-Income Countries: A Multi-Level Study

Listed author(s):
  • Michael L. Wilson


    (Centre for Injury Prevention and Community Safety (CIPCS), PeerCorps Trust Fund, 352/64 Makunganya Street, Co-Architecture Building, 4th Floor, P. O. Box 22499, Dar es Salaam, Tanzania
    Unit of Adolescent Psychiatry, Turku University Hospital, Department of Adolescent Psychiatry, University of Turku, Kaskenkatu 13 A 7, Turku 20700, Finland)

  • Andrea C. Dunlavy


    (Centre for Injury Prevention and Community Safety (CIPCS), PeerCorps Trust Fund, 352/64 Makunganya Street, Co-Architecture Building, 4th Floor, P. O. Box 22499, Dar es Salaam, Tanzania)

  • André Berchtold


    (Institute of Social Sciences, University of Lausanne, SSP/Géopolis, Lausanne CH-1015, Switzerland)

Registered author(s):

    Bullying is an issue of public health importance among adolescents worldwide. The present study aimed at explaining differences in bullying rates among adolescents in 15 low- and middle-income countries using globally comparable indicators of social and economic well-being. Using data derived from the Global School-based Health Survey, we performed bivariate analyses to examine differences in bullying rates by country and by bullying type. We then constructed a multi-level model using four fixed variables (age, gender, hunger and truancy) at the individual level, random effects at the classroom and school levels and four fixed variables at the country level (Gini coefficient, per capita Gross Domestic Project, homicide rate and pupil to teacher ratio). Bullying rates differed significantly by classroom, school and by country, with Egypt (34.2%) and Macedonia (3.6%) having the highest and lowest rates, respectively. Eleven-year-olds were the most likely of the studied age groups to report being bullied, as was being a male. Hunger and truancy were found to significantly predict higher rates of bullying. None of the explanatory variables at the country level remained in the final model. While self-reported bullying varied significantly between countries, the variance between classrooms better explained these differences. Our findings suggest that classroom settings should be considered when designing approaches aimed at bullying prevention.

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    Article provided by MDPI, Open Access Journal in its journal Social Sciences.

    Volume (Year): 2 (2013)
    Issue (Month): 4 (October)
    Pages: 1-13

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    Handle: RePEc:gam:jscscx:v:2:y:2013:i:4:p:208-220:d:29650
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    1. Bhattacharya, Jayanta & Currie, Janet & Haider, Steven, 2004. "Poverty, food insecurity, and nutritional outcomes in children and adults," Journal of Health Economics, Elsevier, vol. 23(4), pages 839-862, July.
    2. repec:aph:ajpbhl:10.2105/ajph.2008.139303_0 is not listed on IDEAS
    3. Ram, Rati, 1984. "Population increase, economic growth, educational inequality, and income distribution : Some recent evidence," Journal of Development Economics, Elsevier, vol. 14(3), pages 419-428, April.
    4. Wendy Craig & Yossi Harel-Fisch & Haya Fogel-Grinvald & Suzanne Dostaler & Jorn Hetland & Bruce Simons-Morton & Michal Molcho & Margarida Mato & Mary Overpeck & Pernille Due & William Pickett, 2009. "A cross-national profile of bullying and victimization among adolescents in 40 countries," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 54(2), pages 216-224, September.
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