期刊论文详细信息
BMC Pediatrics
Exploring the relationship between cyberbullying and unnatural child death: an ecological study of twenty-four European countries
Patrick Ip1  Chung-hong Chan2  King-wa Fu2 
[1] Department of Paediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China;Journalism and Media Studies Centre, The University of Hong Kong, Room 121, Eliot Hall, Pokfulam, Road, Hong Kong, SAR, China
关键词: Statistics and numerical data;    Cyberbullying;    Internet;    Europe;    Child mortality;   
Others  :  1138530
DOI  :  10.1186/1471-2431-14-195
 received in 2014-01-08, accepted in 2014-07-22,  发布年份 2014
PDF
【 摘 要 】

Background

Internet risk has been recognised as a child safety problem, but evidence is insufficient to conclude that a child’s online risk exposure can lead to physical harm. This study aims to explore the ecological relationship between Internet risk exposure and unnatural child death.

Methods

Multiple secondary data sources were used: online exposure to content about self-harm, cyberbullying, and Internet addiction data (EU Kids Online survey, 2010); and mortality data (European Detailed Mortality Database, 2010 or the latest year if not available) of 24 European countries. Correlations were found using quasi-Poisson regression. Countries’ prevalence rates of psychiatric problems (European Social Survey Round 3 and 6, 2006 and 2012) were used to test for possible spuriousness.

Results

This study finds that countries with higher rates of cyberbullying were more likely to have a higher incidence of unnatural child death. A 1 percent rise in the prevalence of cyberbullying translated into a 28% increase in risk of unnatural child death (95% CI: 2%-57%). No evidence was found to substantiate confounding effect of the national prevalence of depressive symptoms or traditional bullying.

Conclusions

Explanations are given for the findings. We conclude that intervention programs designed to serve as precautionary measures for risk minimisation should be considered.

【 授权许可】

   
2014 Fu et al.; licensee BioMed Central Ltd.

【 预 览 】
附件列表
Files Size Format View
20150320045626193.pdf 267KB PDF download
Figure 1. 58KB Image download
【 图 表 】

Figure 1.

【 参考文献 】
  • [1]Livingstone SM: Children and the Internet: great expectations, challenging realities. Cambridge: Polity; 2009.
  • [2]Livingstone S, Haddon L, Görzig A, Ólafsson K: Risks and safety on the internet: the perspective of European children: full findings and policy implications from the EU Kids Online survey of 9–16 year olds and their parents in 25 countries. In EU Kids Online, Deliverable D4. London, UK: EU Kids Online Network; 2011.
  • [3]UNICEF: Child Safety Online: Global challenges and strategies. Italy: UNICEF Innocenti Research Centre; 2011.
  • [4]Luxton DD, June JD, Fairall JM: Social media and suicide: a public health perspective. Am J Public Health 2012, 102(S2):S195-S200.
  • [5]Hertz MF, Donato I, Wright J: Bullying and suicide: a public health approach. J Adolesc Health 2013, 53(1):S1-S3.
  • [6]Petry NM, O'Brien CP: Internet gaming disorder and the DSM-5. Addiction 2013, 108(7):1186-1187.
  • [7]Fu KW, Chan WSC, Wong PWC, Yip PSF: Internet addiction: prevalence, discriminant validity and correlates among adolescents in Hong Kong. Br J Psychiatry 2010, 196(6):486-492.
  • [8]Jones LM, Mitchell KJ, Finkelhor D: Trends in Youth Internet Victimization: Findings From Three Youth Internet Safety Surveys 2000–2010. J Adolesc Health 2012, 50(2):179-186.
  • [9]Hay C, Meldrum R: Bullying Victimization and Adolescent Self-Harm: Testing Hypotheses from General Strain Theory. J Youth Adolesc 2010, 39(5):446-459.
  • [10]Hinduja S, Patchin JW: Bullying, Cyberbullying, and Suicide. Arch Suicide Res 2010, 14(3):206-221.
  • [11]Moreno M, Furtner F, Rivara F: Internet safety. Arch Pediatr Adolesc Med 2009, 163(10):968.
  • [12]O'Keeffe GS, Clarke-Pearson K, Communications Co, Media: The Impact of Social Media on Children, Adolescents, and Families. Pediatrics 2011, 127(4):800-804.
  • [13]Daniels AM: Moral Panics. BMJ 1998, 317(7168):1326.
  • [14]Cionnaith FÓ: Third suicide in weeks linked to cyberbullying. In Irish Examiner. Cork: Examiner Publications (Cork) Limited; 2012.
  • [15]Sourander A, Brunstein Klomek A, Ikonen M, Lindroos J, Luntamo T, Koskelainen M, Ristkari T, Helenius H: Psychosocial risk factors associated with cyberbullying among adolescents: A population-based study. Arch Gen Psychiatry 2010, 67(7):720-728.
  • [16]Livingstone S, Haddon L, Görzig A: Children, Risk and Safety on the Internet: Research and Policy Challenges in Comparative Perspective. Bristol, UK: Policy Press; 2012.
  • [17]Livingstone S: EU Kids Online: Enhancing Knowledge Regarding European Children's Use, Risk and Safety Online [dataset]. London School of Economics and Political Science, Department of Media and Communications: Economic and Social Data Service. 2010.
  • [18]World Health Organization: European Detailed Mortality Database. World Health Organization Regional Office for Europe 2013.
  • [19]World Health Organization: ICD-10: International statistical classification of diseases and health-related problems. 10th edition. Geneva: WHO; 1992.
  • [20]World Health Organization: The Ninth Revision of the International Classification of Diseases and Related Health Problems (ICD-9). 9th edition. Geneva: WHO; 1978.
  • [21]MacKinnon DP, Krull JL, Lockwood CM: Equivalence of the mediation, confounding and suppression effect. Prev Sci 2000, 1(4):173-181.
  • [22]European Social Survey Round 3 Data: Data file edition 3.4. Norwegian Social Science Data Services – Data Archive and distributor of ESS data 2006.
  • [23]European Social Survey Round 6 Data: Data file edition 2.0. Norwegian Social Science Data Services – Data Archive and distributor of ESS data 2012.
  • [24]Radloff LS: The CES-D Scale: a self-report depression scale for research in the general population. Appl Psych Meas 1977, 1(3):385-401.
  • [25]Melchior LA, Huba GJ, Brown VB, Reback CJ: A Short Depression Index for Women. Educ Psychol Meas 1993, 53(4):1117-1125.
  • [26]Ver Hoef JM, Boveng PL: Quasi-Poisson vs. Negative Binomial Regression: How Should We Model Overdispersed Count Data? Ecology 2007, 88(11):2766-2772.
  • [27]Cook RD: Detection of Influential Observation in Linear Regression. Technometrics 2000, 42(1):65-68.
  • [28]Fox J: Regression diagnostics: An introduction, Volume 07–079. Newbury Park, CA: SAGE Publications Inc; 1991.
  • [29]Wang J, Iannotti RJ, Nansel TR: School Bullying Among Adolescents in the United States: Physical, Verbal, Relational, and Cyber. J Adolesc Health 2009, 45(4):368-375.
  • [30]Kowalski RM, Limber SP: Psychological, Physical, and Academic Correlates of Cyberbullying and Traditional Bullying. J Adolesc Health 2013, 53(1):S13-S20.
  • [31]Kaltiala-Heino R, RimpelÄ M, Rantanen P, RimpelÄ A: Bullying at school—an indicator of adolescents at risk for mental disorders. J Adolesc 2000, 23(6):661-674.
  • [32]Prince M, Patel V, Saxena S, Maj M, Maselko J, Phillips MR, Rahman A: No health without mental health. Lancet 2007, 370(9590):859-877.
  • [33]Robinson WS: Ecological correlations and the behavior of individuals. Am Sociol Rev 1950, 15(3):351-357.
  • [34]Garmendia M, Garitaonandia C, Martínez G, Casado MÁ: The effectiveness of parental mediation. In Children, Risk and Safety on the Internet: Research and Policy Challenges in Comparative Perspective. Edited by Livingstone S, Haddon L, Görzig A. Bristol, UK: Policy Press; 2012:231-244.
  • [35]David-Ferdon C, Hertz MF: Electronic Media, Violence, and Adolescents: An Emerging Public Health Problem. J Adolesc Health 2007, 41(6, Supplement):S1-S5.
  文献评价指标  
  下载次数:21次 浏览次数:86次