Evidence map›Paper›PMID 42525362›Full record

ArticleChild psychiatry and human development2026

Latent Profile Analysis Reveals Four Distinct Adolescent Mental Health Patterns for Targeted School Interventions.

Diego Morales, Jorge Gaete, Jo Robinson, Daniel Núñez

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Article in Child psychiatry and human development, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Diego MoralesFaculty of Engineering and Science, Universidad Adolfo Ibáñez, Santiago, Chile.ORCID http://orcid.org/0000-0003-1384-7588
Jorge GaeteFaculty of Social Sciences, Universidad de los Andes, Santiago, Chile.ORCID http://orcid.org/0000-0002-6650-6018
Jo RobinsonOrygen, Parkville, VIC, 3052, Australia.ORCID http://orcid.org/0000-0001-5652-918X
Daniel NúñezCentro de Investigación en Ciencias Cognitivas, Faculty of Psychology, Universidad de Talca, Talca, Chile. dnunez@utalca.cl.ORCID http://orcid.org/0000-0001-7091-2249

Funding

Agencia Nacional de Investigación y Desarrollo Center for the Well-Being and Development of Adolescents and Children in the Digital Age (BAND) (CIN250046)Agencia Nacional de Investigación y Desarrollo Fondecyt 1250325Agencia Nacional de Investigación y Desarrollo Fondecyt 1261819National Health and Medical Research Council Investigator Grant APP2008460
6 · The paper itself

Abstract

Adolescent mental health problems are prevalent, yet assigning individuals to appropriate prevention interventions remains challenging. Latent profile analysis (LPA) offers a person-centered approach to address this. Through LPA, we categorized 1,541 adolescents aged 13-20 from 21 public schools in Chile (M = 15.34, SD = 1.02; 52.3% women) based on symptoms of common mental disorders, suicidal ideation (SI), hopelessness, and emotion regulation (ER) strategies. We found four profiles: "low symptomatology" (16.54%), "mild-moderate symptomatology" (26.98%), "high symptomatology" (27.24%), and "markedly high symptomatology and suicidal ideation" (29.24%), which also differed in ER strategy use. SI, hopelessness, and psychotic experiences were the most influential factors distinguishing the highest-risk profile. The higher-symptom profiles showed elevated cognitive restructuring scores, while cognitive reappraisal characterized healthier profiles. Profile membership also differed by biological sex. These findings support school-based, stratified prevention programs tailored to adolescents' specific risk profiles.

Indexed as

AdolescentsEmotion regulationLatent profile analysisPsychopathologySuicidal ideation

Identifiers

PMID42525362

What Socratic holds

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