High School Education System, University of Guadalajara, Tepatitlán de Morelos 47600, Jalisco, Mexico.
Los Altos University Center Campus (CUALTOS), University of Guadalajara, Tepatitlán de Morelos 47600, Jalisco, Mexico.
Int J Environ Res Public Health. 2024 Aug 12;21(8):1055. doi: 10.3390/ijerph21081055.
In Mexico, suicide has become an important public health problem, representing the third leading cause of death in the adolescent population. Suicidal behavior in adolescents is associated with the interaction of complex relationships between personal, interpersonal, and sociocultural factors. Through a quantitative, descriptive, and correlational cross-sectional study, the present study aimed to analyze the prevalence and risk factors associated with suicidal ideation among adolescents from different high schools of the high school system (SEMS) of the University of Guadalajara, in response to the psychosocial impact of the COVID-19 pandemic. A descriptive statistical analysis was carried out on the data obtained from the 3583 students surveyed, followed by a principal component analysis (PCA) to identify closely related social, emotional, and behavioral variables. The PCA yielded eight principal components, which together represent 75.42% of the variance across psychometric tests. A multiple linear regression analysis was used, with a regression value (R) of 0.4811, indicating that the explanatory model can predict 48.1% of the variability in suicidal ideation, with a statistical significance level of 0.05. According to the studies conducted, 19% (688 students) showed indicators of high suicide risk and 26.8% (960 students) showed moderate risk. Depression, mental health, health-related quality of life, physical and psychological well-being, and mood and emotions are the most influential factors in suicidal ideation.
在墨西哥,自杀已成为一个重要的公共卫生问题,是青少年人群的第三大主要死因。青少年的自杀行为与个人、人际和社会文化因素之间复杂关系的相互作用有关。本研究通过一项定量、描述性和相关性的横断面研究,旨在分析来自瓜达拉哈拉大学高中系统(SEMS)不同高中的青少年自杀意念的流行率和相关风险因素,以应对 COVID-19 大流行对其心理健康的影响。对从 3583 名被调查学生中获得的数据进行了描述性统计分析,然后进行主成分分析(PCA)以确定密切相关的社会、情感和行为变量。PCA 产生了八个主要成分,它们共同代表了心理测试中 75.42%的方差。采用多元线性回归分析,回归值(R)为 0.4811,表明解释模型可以预测自杀意念的 48.1%的可变性,具有统计学意义(p<0.05)。根据研究结果,19%(688 名学生)表现出高自杀风险的迹象,26.8%(960 名学生)表现出中度风险。抑郁、心理健康、健康相关生活质量、身心福祉以及情绪和情绪是自杀意念的最主要影响因素。