Identifying Adolescents at Risk for Emotional Disorders with Latent Profile Analysis: A Personalized, Transdiagnostic Preventive Intervention

Abstract It can be challenging to assign patients to the appropriate intervention programs, as risk and protective factors for developing emotional disorders are multiple and shared across disorders. This study aimed to provide a theoretical and empirical approach to identify and categorise adolesce...

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Detalles Bibliográficos
Autores: Piqueras, Jose A, Falcó, Raquel, Rico-Bordera, Pilar, Canals, Josefa, Espinosa-Fernández, Lourdes, Vivas-Fernández, Manuel, Garcia-Lopez, Luis Joaquín
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universidad Miguel Hernández de Elche
Repositorio:REDIUMH. Depósito Digital de la UMH
OAI Identifier:oai:dspace.umh.es:11000/36070
Acceso en línea:https://hdl.handle.net/11000/36070
Access Level:acceso abierto
Palabra clave:Trasnsdiagnostic intervention
Emotional problems
Prevention
Resilience
Risk factors
CDU::1 - Filosofía y psicología::159.9 - Psicología
Descripción
Sumario:Abstract It can be challenging to assign patients to the appropriate intervention programs, as risk and protective factors for developing emotional disorders are multiple and shared across disorders. This study aimed to provide a theoretical and empirical approach to identify and categorise adolescents into different levels of severity. The risk of developing emotional symptoms was assessed in 1425 Spanish adolescents (M = 14.34, SD = 1.76; 59.9% women). Latent Profile Analysis (LPA) was conducted to identify subgroups based on their emotional symptom severity, risk, and resilience factors. Results revealed four profiles: at low risk (emotionally healthy), moderate risk (for selective interventions), high risk (for indicated interventions), and severe risk (for clinical referral). Older age and especially female gender were predictors of higher risk clusters, and there were differences in the levels of psychopathology and health-related quality of life across clusters. Identification of atrisk adolescents for emotional disorders by means of LPA may contribute to designing personalised and tailored prevention programs that match adolescents’ specific needs