Departamento de Ciencias de la Educación, Universidad de La Rioja, Logroño, Spain; Departamento de Psiquiatría, Universidad de Oviedo, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Oviedo, Spain; Programa Riojano de Investigación en Salud Mental (PRISMA), Logroño, Spain.
Departamento de Ciencias de la Educación, Universidad de La Rioja, Logroño, Spain; Programa Riojano de Investigación en Salud Mental (PRISMA), Logroño, Spain.
Span J Psychiatry Ment Health. 2024 Jan-Mar;17(1):3-10. doi: 10.1016/j.rpsm.2020.04.007. Epub 2020 May 31.
Suicidal behaviour has not yet been analysed from a network approach in adolescent samples. It is imperative to incorporate new psychological models to understand suicidal behaviour from a different perspective. The main objective of this work was twofold: (a) to examine suicidal behaviour through network analysis and (b) to estimate the psychological network between suicidal behaviour and protective and risk factors in school-age adolescents.
Participants were 443 students (M=14.3 years; SD=0.53; 51.2% female) selected incidentally from different schools. Different instruments were administered to assess suicidal behaviour, emotional and behavioural difficulties, prosocial behaviour, subjective well-being, emotional intelligence, self-esteem, depressive symptomatology, empathy, positive and negative affect, and emotional regulation.
The resulting network of suicidal behaviour was strongly interconnected. The most central node in terms of strength and expected influence was "Consider taking your own life". In the estimated psychological network of suicidal behaviour and risk and protective factors, the nodes with the highest strength were depressive symptomatology, positive affect, and empathic concern. The most influential nodes were those related to emotional intelligence abilities. Suicidal behaviour was positively connected to depression symptoms and negative affect, and negatively connected to self-esteem and positive affect. The results of the stability analysis indicated that the networks were accurately estimated.
Suicidal behaviour can be conceptualized as a dynamic, complex system of cognitive, emotional, and affective characteristics. The new psychopathological and psychometric models allow us to analyse and understand human behaviour and mental health problems from a new perspective, suggesting new forms of conceptualization, evaluation, intervention, and prevention.
自杀行为尚未从网络方法的角度在青少年样本中进行分析。必须引入新的心理模型，从不同的角度理解自杀行为。这项工作的主要目的有两个：（a）通过网络分析检查自杀行为，（b）估计青少年自杀行为与保护和风险因素之间的心理网络。
从不同学校随机选择了 443 名参与者（M=14.3 岁；SD=0.53；51.2%为女性）。使用不同的工具评估自杀行为、情绪和行为困难、亲社会行为、主观幸福感、情绪智力、自尊、抑郁症状、同理心、积极和消极情绪以及情绪调节。
自杀行为的网络结构紧密相连。就强度和预期影响而言，“考虑自杀”是最核心的节点。在自杀行为和风险与保护因素的估计心理网络中，强度最高的节点是抑郁症状、积极情绪和同理心关注。最具影响力的节点与情绪智力能力有关。自杀行为与抑郁症状和消极情绪呈正相关，与自尊和积极情绪呈负相关。稳定性分析的结果表明网络被准确地估计。
自杀行为可以被概念化为认知、情感和情感特征的动态、复杂系统。新的精神病理学和心理计量学模型允许我们从新的角度分析和理解人类行为和心理健康问题，提出了新概念化、评估、干预和预防的新形式。
