Eduardo Fonseca-Pedrero1, Adriana Díez-Gómez2, Usue de la Barrera3, Carla Sebastian-Enesco2, Javier Ortuño-Sierra2, Inmaculada Montoya-Castilla3, Beatriz Lucas-Molina4, Félix Inchausti5, Alicia Pérez-Albéniz2. 1. Departamento de Ciencias de la Educación, Universidad de La Rioja, Logroño, España; Departamento de Psiquiatría, Universidad de Oviedo, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Oviedo, España; Programa Riojano de Investigación en Salud Mental (PRISMA), Logroño, España. Electronic address: eduardo.fonseca@unirioja.es. 2. Departamento de Ciencias de la Educación, Universidad de La Rioja, Logroño, España; Programa Riojano de Investigación en Salud Mental (PRISMA), Logroño, España. 3. Departamento de Personalidad, Evaluación y Tratamientos Psicológicos, Facultad de Psicología, Universidad de Valencia, Valencia, España. 4. Psicología Evolutiva y de la Educación, Universidad de Valencia, Valencia, España. 5. Departamento de Salud Mental, Servicio Riojano de Salud, España.
Abstract
OBJECTIVE: 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. METHOD: 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. RESULTS: 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. CONCLUSIONS: 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.
OBJECTIVE: 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. METHOD: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. RESULTS: 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. CONCLUSIONS: 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.
Authors: Eduardo Fonseca-Pedrero; Susana Al-Halabí; Alicia Pérez-Albéniz; Martin Debbané Journal: Int J Environ Res Public Health Date: 2022-02-04 Impact factor: 3.390
Authors: María Guillot-Valdés; Alejandro Guillén-Riquelme; Juan Carlos Sierra; Gualberto Buela-Casal Journal: Int J Environ Res Public Health Date: 2022-08-30 Impact factor: 4.614