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Suicidal ideation in a community-based sample of elementary school children: A multilevel and spatial analysis

  • Quantitative Research
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Canadian Journal of Public Health Aims and scope Submit manuscript

Abstract

OBJECTIVES: To examine whether bullying victimization, psychological status, parental and peer relationships and other risk factors are associated with suicidal ideation and to identify high-risk neighbourhoods for suicidal ideation among the elementary school children in Saskatoon Health Region.

METHODS: A sample of school students (n = 5340, grades 5–8; ages 9–14 years) from 109 elementary schools in Saskatoon Health Region, Saskatchewan completed the Student Health Survey in 2010–2011. A multilevel logistic regression model was used to investigate the hierarchical data structure at student, grade and school levels. Bayesian spatial analysis was conducted to examine the spatial disparity in the risk of suicidal ideation among residential neighbourhoods.

RESULTS: Of 5,340 children, 340 (6.4%) indicated they had considered suicide at least once in the previous 12 months. Our findings indicated that school children who were frequently verbally or electronically bullied were more likely to report suicidal thoughts than those who were not bullied. Students who were more depressed or anxious, and those with lower self-esteem and poorer relationships with their parents were also more likely to report suicidal ideation. The Aboriginal elementary school students and those from the west side of the city were at a higher risk of having suicidal ideation.

CONCLUSION: Our findings suggest the need for targeted intervention strategies on suicidal ideation among the elementary school children in Saskatoon Health Region, before they reach high school.

Résumé

OBJECTIFS: Examiner si le fait d’être victime d’intimidation, l’état psychologique, les relations avec les parents et les pairs et d’autres facteurs de risque sont associés à l’idéation suicidaire et repérer les quartiers à haut risque d’idéation suicidaire chez les élèves des écoles élémentaires de Saskatoon.

MÉTHODE: Un échantillon d’écoliers (n = 5 340, 5e à 8e année; 9 à 14 ans) de 109 écoles élémentaires de Saskatoon (Saskatchewan) a répondu à un questionnaire sur la santé en 2010–2011. Nous avons utilisé un modèle de régression logistique multiniveaux pour étudier la structure hiérarchique des données au niveau des élèves, de l’année d’étude et des écoles. Nous avons mené une analyse bayésienne spatiale pour examiner la disparité spatiale du risque d’idéation suicidaire entre les quartiers résidentiels.

RÉSULTATS: Sur 5 340 enfants, 340 (6,4 %) ont dit avoir songé au suicide au moins une fois au cours des 12 mois antérieurs. Nos constatations montrent que les enfants d’âge scolaire fréquemment intimidés verbalement ou par voie électronique étaient plus susceptibles de faire état d’idées suicidaires que ceux qui ne subissaient pas d’intimidation. Les élèves déprimés ou anxieux, et ceux dont l’estime de soi et les relations avec leurs parents étaient moins bonnes, étaient également plus susceptibles de faire état d’idées suicidaires. Les écoliers autochtones et ceux de l’ouest de la ville présentaient le plus grand risque d’idéation suicidaire.

CONCLUSION: Nos constatations indiquent qu’il faut des stratégies d’intervention qui ciblent l’idéation suicidaire chez les enfants fréquentant l’école élémentaire à Saskatoon, avant leur entrée à l’école secondaire.

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References

  1. Varnik P. Suicide in the world. Int J Environ Res Public Health 2012;9(3):760–71. PMID: 22690161. doi: 10.3390/ijerph9030760.

    Article  Google Scholar 

  2. Hawton K, van Heeringen K. Suicide. Lancet 2009;373:1372–81. doi: 10.1016/S0140-6736(09)60372-X

    Article  Google Scholar 

  3. Suicides and Suicide Rate, by Sex and by Age Group. Ottawa, ON: Statistics Canada, 2012.

  4. Bridge JA, Goldstein TR, Brent, DA. Adolescent suicide and suicidal behavior. J Child Psychol Psychiatry 2006;47(3–4):372–94. PMID: 16492264. doi: 10.1111/j.1469-7610.2006.01615.x.

    Article  Google Scholar 

  5. Rhodes AE, Bethell J, Bondy, SJ. Suicidality, depression, and mental health service use in Canada. Can J Psychiatry 2006;51(1):35–41. PMID: 16491982.

    Article  Google Scholar 

  6. McGee R, Williams S. Does low self-esteem predict health compromising behaviours among adolescents? J Adolesc 2000;23(5):569–82. PMID: 11073698. doi: 10.1006/jado.2000.0344.

    Article  CAS  Google Scholar 

  7. Peter T, Roberts LW, Buzdugan R. Suicidal ideation among Canadian youth: A multivariate analysis. Arch Suicide Res 2008;12(3):263–75. PMID: 18576207. doi: 10.1080/13811110802100882.

    Article  Google Scholar 

  8. Peltzer K, Pengpid S. Suicidal ideation and associated factors among school-going adolescents in Thailand. Int J Environ Res Public Health 2012; 9(2):462–73. PMID: 22470303. doi: 10.3390/ijerph9020462.

    Article  Google Scholar 

  9. Karmali S, Laupland K, Harrop AR, Findlay C, Kirkpatrick AW, Winston B, et al. Epidemiology of severe trauma among status Aboriginal Canadians: A population-based study. CMAJ 2005;172(8):1007–11. PMID: 15824405. doi: 10.1503/cmaj.1040432.

    Article  Google Scholar 

  10. Espelage DL, Holt, MK. Suicidal ideation and school bullying experiences after controlling for depression and delinquency. J Adolesc Health 2013;53(1 Suppl):S27–31. PMID: 23790197. doi: 10.1016/j.jadohealth.2012.09.017.

    Article  Google Scholar 

  11. Wang J, Iannotti RJ, Nansel, TR. School bullying among US adolescents: Physical, verbal, relational and cyber. J Adolesc Health 2009;45(4):368–75. doi: 10.1016/j.jadohealth.2009.03.021.

    Article  Google Scholar 

  12. Raskauskas J, Stoltz A. Involvement in traditional and electronic bullying among adolescents. DevelopPsychol 2007;43:564–75. PMID: 17484571. doi: 10.1037/0012-1649.43.3.564.

    Google Scholar 

  13. Kim Y, Leventhal B, Koh Y, Boyce, WT. Bullying increased suicide risk: Prospective study of Korean adolescents. Arch Suicide Res 2009;13:15–30. PMID: 19123106. doi: 10.1080/13811110802572098.

    Article  CAS  Google Scholar 

  14. Klomek AB, Sourander A, Niemelä S, Kumpulainen K, Piha J, Tamminen T, et al. Childhood bullying behaviors as a risk for suicide attempts and completed suicides: A population-based birth cohort study. J Am Acad Child Adolesc Psychiatry 2009;48:254–61. PMID: 19169159. doi: 10.1097/CHI.0b013e318196b91f.

    Article  Google Scholar 

  15. Young R, Sweeting H, Ellaway A. Do schools differ in suicide risk? The influence of school and neighbourhood on attempted suicide, suicidal ideation and self-harm among secondary school pupils. BMC Public Health 2011;11:874. PMID: 22093491. doi: 10.1186/1471-2458-11-874.

    Article  Google Scholar 

  16. Dalen, JD. The association between school class composition and suicidal ideation in late adolescence: Findings from the Young-HUNT 3 study. Child Adolesc Psychiatry Ment Health 2012;6(1):37. PMID: 23186517. doi: 10.1186/1753-2000-6-37.

    Article  Google Scholar 

  17. Kidd S, Henrich CC, Brookmeyer KA, Davidson L, King RA, Shahar G. The social context of adolescent suicide attempts: Interactive effects of parent, peer, and school social relations. Suicide Life Threat Behav 2006;36(4):386–95. PMID: 16978093. doi: 10.1521/suli.2006.36.4.386.

    Article  Google Scholar 

  18. Pickett K, Pearl M. Multilevel analyses of neighbourhood socioeconomic context and health outcomes: A critical review. J Epidemiol Community Health 2005;55:111–22. PMID: 11154250. doi: 10.1136/jech.55.2.111.

    Article  Google Scholar 

  19. Modupalli K, Cushon J, Neudorf C. 2010/2011 Student Health Survey: Evidence for Action. Saskatoon: Saskatoon Health Region, 2013.

    Google Scholar 

  20. Poulin C, Hand D, Bourdeau B. Validity of a 12-item version of the CES-D used in the National Longitudinal Study of Children and Youth. Chronic Diseases in Canada 2005;26:65–72. PMID: 16251012.

    PubMed  Google Scholar 

  21. Goldstein H, Browne W, Rasbash J. Partitioning variation in multilevel models. Understand Statist 2002;1:223–31. doi: 10.1207/S15328031US0104_02.

    Article  Google Scholar 

  22. Besag J, York J, Mollié A. Bayesian image restoration, with two applications in spatial statistics. Ann Inst Statist Math 1991;43:1–20. doi: 10.1007/BF00116466.

    Article  Google Scholar 

  23. Spiegelhalter D, Thomas A, Best N, Lunn D. WinBUGS Version 1.4 User Manual. Cambridge: MRC Biostatistics Unit, Institute of Public Health, Cambridge University, 2003.

    Google Scholar 

  24. Spiegelhalter DJ, Best NG, Carlin BP, Van Der Linde A. Bayesian measures of model complexity and fit. J Roy Stat Soc: Ser B 2002;64(4):583–639. doi: 10.1111/1467-9868.00353.

    Article  Google Scholar 

  25. Rhodes AE, Boyle MH, Bridge JA, Sinyor M, Links PS, Tonmyr L, et al. Antecedents and sex/gender differences in youth suicidal behavior. World J Psychiatry 2014;4(4):120–32. doi: 10.5498/wjp.v4.i4.120.

    Article  Google Scholar 

  26. Chen PC, Lee LK, Wong KC, Kaur J. Factors relating to adolescent suicidal behavior: A cross-sectional Malaysian school survey. J Adolesc Health 2005;37(4):337. PMID: 16182146. doi: 10.1016/j.jadohealth.2004.10.018.

    Article  Google Scholar 

  27. Mahfoud ZR, Afifi RA, Haddad PH, Dejong J. Prevalence and determinants of suicide ideation among Lebanese adolescents: Results of the GSHS Lebanon 2005. J Adolesc 2011;34(2):379–84. PMID: 20434762. doi: 10.1016/j.adolescence.2010.03.009.

    Article  Google Scholar 

  28. Riesch SK, Jacobson G, Sawdey L, Anderson J, Henriques J. Suicide ideation among later elementary school-aged youth. J Psychiatr Ment Health Nurs 2008;15(4):263–77. PMID: 18387145. doi: 10.1111/j.1365-2850.2007.01221.x.

    Article  CAS  Google Scholar 

  29. Scherf KS, Smyth JM, Delgado, MR. The amygdala: An agent of change in adolescent neural networks. Horm Behav 2013;64(2):298–313. PMID: 23756154. doi: 10.1016/j.yhbeh.2013.05.011.

    Article  Google Scholar 

  30. Eisenberg D, Gollust SE, Golberstein E, Hefner, JL. Prevalence and correlates of depression, anxiety, and suicidality among university students. Am J Orthopsychiatry 2007;77(4):534–42. PMID: 18194033. doi: 10.1037/0002-9432.77.4.534.

    Article  Google Scholar 

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Correspondence to Cindy Xin Feng PhD.

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Feng, C.X., Waldner, C., Cushon, J. et al. Suicidal ideation in a community-based sample of elementary school children: A multilevel and spatial analysis. Can J Public Health 107, e100–e105 (2016). https://doi.org/10.17269/cjph.107.5294

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  • DOI: https://doi.org/10.17269/cjph.107.5294

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