Author:
Chen Lin,Chen Ying,Ran Hailiang,Che Yusan,Fang Die,Li Qiongxian,Shi Yuanyu,Liu Shuqing,He Yandie,Zheng Guiqing,Xiao Yuanyuan
Abstract
Abstract
Background
School bullying is prevalent in children and adolescents. Bullying victims are seen higher risk of negative psychological outcomes. Previously published studies suggested that social indicators may pose significant influence on bullying victimization. However, the association between social poverty and bullying victimization has not been exclusively discussed.
Methods
In this cross-sectional study, we analyzed the association between 6 commonly used social poverty indicators (Poverty Headcount Ratio, PHR; Poverty Gap, PG; Squared Poverty Gap, SPG; monthly household per capita income, PCI; Watts’ Poverty Index, WPI; the Gini Index, Gini) and the prevalence of school bullying at country level by using the Global school-based Student Health Survey (GSHS) database.
Results
Altogether 16 countries were included into the final analysis, with school bullying victimization prevalence ranged from 12.9 to 47.5%. Bubble plots revealed statistically significant associations between the three indicators measuring absolute poverty level (PHR, PCI, WPI) and bullying victimization. Subsequently performed principal component regression indicated that, for all types of bullying victimization, the increase of absolute poverty level was related to elevated prevalence rates, and the association was particularly strong for verbal bullying victimization.
Conclusions
Our study results may suggest that absolute social poverty is an important parameter for constructing and implementing school bullying victimization intervention strategies and measures.
Funder
Scientific Research Fund Project of Yunnan Provincial Department of Education
National Natural Science Foundation of China
Top Young Talents of Yunnan Ten Thousand Talents Plan
Publisher
Springer Science and Business Media LLC
Reference42 articles.
1. Esbensen FA, Carson DC. Consequences of being bullied results from a Longitudinal Assessment of bullying victimization in a Multisite Sample of American Students. Youth Soc. 2009;41(2):209–33.
2. Bottino SMB, Bottino CMC, Regina CG, Correia AVL, Ribeiro WS. Cyberbullying and adolescent mental health: systematic review. Cadernos De Saude Publica. 2015;31(3):463–75.
3. United Nations Educational, Scientific and Cultural Organization. School violence and bullying: Global status report. 2017. https://unesdoc.unesco.org/ark:/48223/pf0000246970. Accessed 3 May 2022.
4. Sourander A, Klomek AB, Ikonen M, Lindroos J, Luntamo T, Koskelainen M, et al. Psychosocial risk factors associated with cyberbullying among adolescents: a population-based study. Arch Gen Psychiatry. 2010;67(7):720–8.
5. Wolke D, Lereya ST. Long-term effects of bullying. Arch Dis Child. 2015;100(9):879–85.
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献