Factors Predicting Suicidal Risk Among Adolescents in a Northern Province of Thailand
Keywords:
Suicide risk, Depression, Cyberbullying behavior, Internet addiction behavior, adolescentsAbstract
This predictive correlational study aimed to assess the risk of suicide in adolescents and identify predictive factors, including depression, cyberbullying behavior, and internet addiction behavior. The study sample comprised 173 male and female in a northern province of Thailand. Data was analyzed using correlation statistics and multiple linear regression analysis, with stepwise method, statistical significance at a level of .05.
The research findings were as, among the sample, 45.70% exhibited a risk of suicide, with the majority of those at risk (58.2%) displaying a low level of risk, followed by 22.80% displaying a high level. Cyberbullying behavior was not a predictor of suicide risk in adolescents. Depression significantly predicted suicide risk in adolescents, accounting for 37.40% of the variance (p < .01). Internet addiction behavior was a significant predictor of suicide risk in adolescents, explaining 5.50% of the variance (p < .01). Depression and internet addiction behavior were joint significant predictors of suicide risk, accounting for 42.90% (p < .01). These findings have significant implications for psychiatric nursing and mental health professionals. The results provide valuable insights for developing targeted nursing interventions to mitigate suicide risk among adolescents, with a particular focus on addressing and reducing depression and internet addiction behaviors within this vulnerable population.
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