[智利青少年的自杀行为:心理、临床和社会家庭因素的多维分析]。

IF 0.3
Pablo Méndez-Bustos, Alejandra Tapia, Jorge Lopez-Castroman, Jaime Fuster-Villaseca
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引用次数: 0

摘要

自杀行为是一个全球性的公共卫生问题,特别是在青少年中,它是这一年龄组死亡的主要原因之一。在智利,近几十年来青少年自杀率惊人地上升,心理、临床和社会家庭因素成为主要因素。然而,现有的理论模型在应用于特定的社会文化背景时存在局限性。目的:综合心理、临床和社会家庭因素,解释智利青少年临床样本中的自杀行为。方法:对388名青少年进行非实验横断面研究(女性59.3%;平均年龄:15.63岁)在Maule大区的医疗保健系统接受治疗。采用BIS-11、DASS-21、DERS、ISI、GHSQ-V和C-SSRS等经过验证的工具评估冲动性、情绪调节、焦虑抑郁症状和自杀风险。多元逻辑回归模型拟合以确定自杀意念和企图的显著预测因子。采用ROC分析评估模型质量。结果:对于自杀意念模型,显著的预测因子包括母亲反应性、抑郁症状、精神疾病家族史、自杀未遂住院史、欺凌和性虐待受害者。在自杀企图模型中,相关因素为兄弟姐妹的缺失、计划外的冲动、情绪干扰、先前的精神健康住院、自杀意念和严重的自杀意图。模型的曲线下面积(AUC)分别为0.89和0.94,具有较好的预测效果。结论:研究结果强调了青少年自杀行为的多维性,揭示了个体和环境因素之间的相互作用。这些模型有助于理解这一现象,并可以指导针对这一弱势群体的有针对性的预防性干预措施和公共政策。建议将分析扩展到不同的地区和人群,以验证和丰富结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Suicidal Behavior in Chilean Adolescents: A Multidimensional Analysis Focused on Psychological, Clinical, and Socio-Familial Factors].

Suicidal behavior is a global public health issue, particularly among adolescents, where it stands as one of the leading causes of death in this age group. In Chile, adolescent suicide rates have alarmingly increased over recent decades, with psychological, clinical, and socio-familial factors emerging as key contributors. However, existing theoretical models face limitations when applied to specific sociocultural contexts.

Aim: To explain suicidal behavior in a clinical sample of Chilean adolescents, integrating psychological, clinical and socio-familial factors.

Methods: A non-experimental cross-sectional study was carried out in 388 adolescents (59.3% female; mean age: 15.63 years) admitted to the healthcare system in the Maule Region. Validated instruments were applied, including the BIS-11, DASS-21, DERS, ISI, GHSQ-V, and C-SSRS, to assess impulsivity, emotional regulation, anxious-depressive symptoms, and suicide risk. Multiple logistic regression models were fitted to identify significant predictors of suicidal ideation and attempts. Model quality was assessed through ROC analysis.

Results: For the suicidal ideation model, significant predictors included maternal responsiveness, depressive symptoms, family history of mental illness, prior hospitalization due to suicide attempts, and victimization through bullying and sexual abuse. In the suicidal attempt model, relevant factors were the absence of siblings, unplanned impulsivity, emotional interference, previous hospitalizations for mental health, suicidal ideation, and serious intent to attempt suicide. The models demonstrated adequate predictive performance with areas under the curve (AUC) of 0.89 and 0.94, respectively.

Conclusions: The findings highlight the multidimensional nature of adolescent suicidal behavior, revealing the interplay between individual and contextual factors. These models contribute to understanding the phenomenon and could guide targeted preventive interventions and public policies aimed at this vulnerable group. Expanding the analysis to different regions and populations is suggested to validate and enrich the results.

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