ปัจจัยทำนายความเสี่ยงต่อการฆ่าตัวตายในวัยรุ่น

Abstract

Suicide is a critical public health issue, particularly the escalating risk of suicide among adolescents, which significantly impacts the quality of life for young people globally. 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 high school students, aged 15-19 years, under the Secondary Education Service Area Office (Khet 34). Data collection instruments included 1) personal information questionnaires; 2) the suicide risk assessment in the suicidality section of the Mini International Neuropsychiatric Interview (M.I.N.I.); 3) the Center for Epidemiologic Studies-Depression Scale (CES-D); 4) the Being Cyberbullied Inventory; and 5) the Thai version of the Internet Addiction Test. Data was analyzed using correlation statistics and multiple linear regression analysis with a stepwise technique, statistical significance at a level of 0.05. The research findings were as follows: 1. 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. 2. Cyberbullying behavior was not a predictor of suicide risk in adolescents. 3. Depression significantly predicted suicide risk in adolescents, accounting for 37.40% of the variance, with statistical significance at a level of 0.01. 4. Internet addiction behavior was a significant predictor of suicide risk in adolescents, explaining 5.50% of the variance, with statistical significance at a level of 0.01. 5. Depression and internet addiction behavior were joint significant predictors of suicide risk, accounting for 42.90% (p < 0.01). 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.