Eduardo Fonseca-Pedrero1, Javier Ortuño-Sierra2, Alicia Pérez-Albéniz2. 1. Departmento de Ciencias de la Educación, Universidad de La Rioja, Logroño, España; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Oviedo, España. Electronic address: eduardo.fonseca@unirioja.es. 2. Departmento de Ciencias de la Educación, Universidad de La Rioja, Logroño, España.
Abstract
INTRODUCTION: The purpose of this study was to identify homogenous subgroups of adolescents with emotional and behavioural difficulties using latent profile analysis. The relationship between the latent profile classes and socio-emotional and school adjustment was also analysed. MATERIALS AND METHODS: A total of 1,506 students, 667 men (44.3%) were selected by random cluster sampling. The mean age was 16.15 years (SD=1.36). The instruments used were the Strengths and Difficulties Questionnaire, the Personal Wellbeing Index-School Version, The 10-item Positive and Negative Affect Schedule for Children, the Prodromal Questionnaire Brief, the Paykel Suicide Scale, the Cyberbullying-Brief Questionnaire, the Penn Matrix Reasoning Test, and the school performance assessment. RESULTS: A total of 7.7% of adolescents obtained risk scores for mental health difficulties. We identified 3 mental health subgroups named: Low risk, Externalizing, and Internalizing. These 3 latent classes demonstrated a differential pattern in terms of socio-emotional adjustment and academic performance. CONCLUSIONS: To identify and validate risk groups of youths for emotional and behavioural problems allows implementing measures to promote emotional well-being and prevent mental health problems. Future studies should continue to analyse young people with emotional and behavioural problems longitudinally and to incorporate new forms of assessment and intervention.
INTRODUCTION: The purpose of this study was to identify homogenous subgroups of adolescents with emotional and behavioural difficulties using latent profile analysis. The relationship between the latent profile classes and socio-emotional and school adjustment was also analysed. MATERIALS AND METHODS: A total of 1,506 students, 667 men (44.3%) were selected by random cluster sampling. The mean age was 16.15 years (SD=1.36). The instruments used were the Strengths and Difficulties Questionnaire, the Personal Wellbeing Index-School Version, The 10-item Positive and Negative Affect Schedule for Children, the Prodromal Questionnaire Brief, the Paykel Suicide Scale, the Cyberbullying-Brief Questionnaire, the Penn Matrix Reasoning Test, and the school performance assessment. RESULTS: A total of 7.7% of adolescents obtained risk scores for mental health difficulties. We identified 3 mental health subgroups named: Low risk, Externalizing, and Internalizing. These 3 latent classes demonstrated a differential pattern in terms of socio-emotional adjustment and academic performance. CONCLUSIONS: To identify and validate risk groups of youths for emotional and behavioural problems allows implementing measures to promote emotional well-being and prevent mental health problems. Future studies should continue to analyse young people with emotional and behavioural problems longitudinally and to incorporate new forms of assessment and intervention.
Authors: Kristina Carlén; Sakari Suominen; Lilly Augustine; Maiju M Saarinen; Minna Aromaa; Päivi Rautava; André Sourander; Matti Sillanpää Journal: Child Adolesc Psychiatry Ment Health Date: 2022-06-09 Impact factor: 7.494
Authors: Jose A Piqueras; Verónica Vidal-Arenas; Raquel Falcó; Beatriz Moreno-Amador; Juan C Marzo; Juliana M Holcomb; Michael Murphy Journal: J Med Internet Res Date: 2021-12-01 Impact factor: 5.428