Global School-based Student Health Survey reveals correlates of suicidal behaviors in Brunei Darussalam: a nationwide cross-sectional study

Background: this study aimed to determine the prevalence of and correlates for suicidalbehaviors among school attending adolescents in brunei.methods: nationally representative cross-sectional data on (n=2599) adolescents derived fromthe global school-based health survey in brunei darussalam were examined. data on suicidalbehaviors, psychosocial and demographic characteristics were analyzed using multiple logisticregression taking survey design into account.results: twelve months prior to being surveyed, the prevalence of suicidal behaviors was 9.3%,6.5% and 5.9% for suicidal ideation, suicidal plan and suicidal attempt, respectively. femaleswere overrepresented in attempts (61.2%).several self-reported characteristics such as suicide ideation (69%), anxiety (28%), and loneliness(30%) were significantly different between the attempters of suicide and non-attempters (p lessthan 0.05). also, some suicide-related behaviors such as having planned a suicide (52%), beingbullied (21%), involved in a physical fight (29%), serious injury (29%), early sexual debut (8.5%),alcohol use at early age (21%), alcohol use in the past 30-days (12%), and being physicallyattacked (30%) differed by suicide category (p less than 0.05). compared to those who did notreport attempting suicide, attempters were more likely to have suicide ideation (or=10.58; 95%ci 5.10, 21.97); have planned suicide (or=9.82; 95% ci 4.60, 20.96); or sustained seriousinjury (or=4.01; 95% ci 2.03, 7.93) within the recall period.conclusions: this study provided evidence, which overall confirm that the psycho-socialenvironment in school settings modify suicidal behavior. the results, taken together emphasize theimportance of the school environment on the development of school attending adolescents. wherepossible, the results may provide additional information on which self-reported behaviorsrepresent avenues for potential preventive programming.