Bullying victimization among adolescents: Prevalence, associated factors and correlation with mental health outcomes.

Mariem Ghardallou, Ahlem Mtiraoui, Dorra Ennamouchi, Amel Amara, Amel Gara, Maha Dardouri, Chekib Zedini, Ali Mtiraoui
Author Information
  1. Mariem Ghardallou: Faculty of Medicine of Sousse, Department of Community Medicine, Research Laboratory LR12ES03, University of Sousse, Sousse, Tunisia. ORCID
  2. Ahlem Mtiraoui: Faculty of Medicine of Sousse, Department of Psychiatry, Farhat Hached Hospital, Research Laboratory LR12ES04, University of Sousse, Sousse, Tunisia.
  3. Dorra Ennamouchi: Faculty of Medicine of Sousse, Department of Community Medicine, University of Sousse, Sousse, Tunisia.
  4. Amel Amara: Faculty of Medicine of Sousse, Department of Community Medicine, Research Laboratory LR12ES03, University of Sousse, Sousse, Tunisia.
  5. Amel Gara: Faculty of Medicine of Sousse, Department of Community Medicine, University of Sousse, Sousse, Tunisia.
  6. Maha Dardouri: Faculty of Medicine of Sousse, Department of Community Medicine, University of Sousse, Sousse, Tunisia.
  7. Chekib Zedini: Faculty of Medicine of Sousse, Department of Community Medicine, Research Laboratory LR12ES03, University of Sousse, Sousse, Tunisia.
  8. Ali Mtiraoui: Faculty of Medicine of Sousse, Department of Community Medicine, Research Laboratory LR12ES03, University of Sousse, Sousse, Tunisia.

Abstract

INTRODUCTION: Knowledge of the risk factors of bullying victimization in adolescents is crucial for the implementation of preventive measures. This study aimed to determine the prevalence and associated factors of bullying victimization and to identify its correlation with mental health outcomes among middle school students in Tunisia.
METHODS: A cross-sectional study was conducted using a multi-stage cluster sampling technique to recruit a sample of 1111 students from 10 middle schools in El kef (Tunisia). The revised Olweus Bully/Victim Questionnaire was used to assess the prevalence and types of bullying victimization and the perceived efforts of others to counteract bullying. The Strengths and Difficulties Questionnaire (SDQ) was used for screening emotional and behavioral problems. Multivariate logistic regression analysis was conducted to determine associated factors of bullying victimization. Additionally, we tested whether emotional and behavioral problems were present for bullying victims.
RESULTS: The findings reported that 45.8% (95%CI = 45.5-46.0), of the total number of participants experienced school bullying victimization. Multivariate logistic regression analysis, revealed that repeating a grade (OR = 1.82, 95%CI = 1.31-2.54), having a working father (OR = 17.68; 95%CI = 2.29-136,15), and having a working mother (OR = 1.88, 95%CI = 1.39-2.53) were the factors significantly associated with bullying victimization. Nevertheless, a higher mother's educational level (OR = 0.76, 95%CI = 0.67-0.88) was a protective factor against bullying victimization. The self-reported SDQ revealed that the total difficulties score was significantly higher among victims (17.46 ± 5.30 vs. 20.86 ± 5.06, p<0.01).
CONCLUSIONS: This study showed that the prevalence of bullying in middle schools was high and it significantly led to mental health problems. National policies for bullying prevention within schools are potentially needed. Improving students' problem-solving and soft skills is also essential.

References

  1. Front Psychol. 2021 Apr 12;12:578661 [PMID: 33912096]
  2. Asia Pac J Public Health. 2019 Nov;31(8_suppl):18S-29S [PMID: 31470742]
  3. Br J Clin Psychol. 2001 Nov;40(4):399-410 [PMID: 11760616]
  4. Child Dev. 1996 Oct;67(5):2328-38 [PMID: 9022244]
  5. J Egypt Public Health Assoc. 2019 Jun 7;94(1):18 [PMID: 32813138]
  6. Cien Saude Colet. 2017 Jul;22(7):2329-2340 [PMID: 28724015]
  7. JAMA. 2001 Apr 25;285(16):2094-100 [PMID: 11311098]
  8. Child Abuse Negl. 2010 Apr;34(4):244-52 [PMID: 20304490]
  9. J Res Health Sci. 2018 May 05;18(2):e00414 [PMID: 29784895]
  10. BMC Psychol. 2022 Nov 10;10(1):260 [PMID: 36357923]
  11. J Adolesc. 2018 Jun;65:101-110 [PMID: 29573643]
  12. Child Adolesc Psychiatry Ment Health. 2012 Feb 12;6:8 [PMID: 22325708]
  13. Nutrients. 2023 Dec 06;15(24): [PMID: 38140278]
  14. Psicothema. 2023 Nov;35(4):351-363 [PMID: 37882420]
  15. World J Psychiatry. 2017 Mar 22;7(1):60-76 [PMID: 28401049]
  16. Br J Psychol. 2001 Nov;92(Pt 4):673-96 [PMID: 11762868]
  17. J Pediatr Nurs. 2018 Jan - Feb;38:e66-e71 [PMID: 29037771]
  18. Child Abuse Negl. 2015 Jan;39:137-46 [PMID: 25267164]
  19. J Child Psychol Psychiatry. 1994 Oct;35(7):1171-90 [PMID: 7806605]
  20. PLoS One. 2014 Jul 30;9(7):e102145 [PMID: 25076490]
  21. Eur Child Adolesc Psychiatry. 2021 Nov;30(11):1745-1754 [PMID: 32960324]

MeSH Term

Male
Female
Humans
Adolescent
Prevalence
Cross-Sectional Studies
Surveys and Questionnaires
Bullying
Crime Victims
Outcome Assessment, Health Care

Word Cloud

Created with Highcharts 10.0.0bullying=victimizationfactors95%CIassociatedOR1studyprevalencementalhealthamongmiddleschoolsproblems0significantlydeterminecorrelationoutcomesschoolstudentsTunisiaconductedQuestionnaireusedSDQemotionalbehavioralMultivariatelogisticregressionanalysisvictims45totalrevealedworking1788higherINTRODUCTION:KnowledgeriskadolescentscrucialimplementationpreventivemeasuresaimedidentifyMETHODS:cross-sectionalusingmulti-stageclustersamplingtechniquerecruitsample111110ElkefrevisedOlweusBully/VictimassesstypesperceivedeffortsotherscounteractStrengthsDifficultiesscreeningAdditionallytestedwhetherpresentRESULTS:findingsreported8%5-46numberparticipantsexperiencedrepeatinggrade8231-254father68229-13615mother39-253Neverthelessmother'seducationallevel7667-0protectivefactorself-reporteddifficultiesscore46 ± 530vs2086 ± 506p<001CONCLUSIONS:showedhighledNationalpoliciespreventionwithinpotentiallyneededImprovingstudents'problem-solvingsoftskillsalsoessentialBullyingadolescents:Prevalence

Similar Articles

Cited By (1)