Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Apr 12.
doi: 10.1007/s10578-024-01689-z. Online ahead of print.

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

José A Piqueras  1 , Raquel Falcó  1 , Pilar Rico-Bordera  2 , Josefa Canals  3 , Lourdes Espinosa-Fernández  4 , Manuel Vivas-Fernández  4 , Luis-Joaquin Garcia-Lopez  4 ; PROCARE team
Collaborators, Affiliations

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

José A Piqueras et al. Child Psychiatry Hum Dev. .

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 at-risk adolescents for emotional disorders by means of LPA may contribute to designing personalised and tailored prevention programs that match adolescents' specific needs.

Keywords: Emotional problems; Prevention; Resilience; Risk factors; Trasnsdiagnostic intervention.

PubMed Disclaimer

References

    1. Aboujaoude E, Gega L (2021) Editorial perspective: missing the forest for the trees – how the focus on digital addiction and gaming diverted attention away from wider online risks. Child Adolesc Mental Health 26(4):369–371. https://doi.org/10.1111/camh.12503 - DOI
    1. Achenbach TM, Ivanova MY, Rescorla LA (2017) Empirically based assessment and taxonomy of psychopathology for ages 1½-90+ years: developmental, multi-informant, and multicultural findings. Compr Psychiatry 79:4–18. https://doi.org/10.1016/j.comppsych.2017.03.006 - DOI - PubMed
    1. Ahorsu DK, Lin C-Y, Imani V, Saffari M, Griffiths MD, Pakpour AH (2022) The Fear of COVID-19 Scale: development and initial validation. Int J Ment Heal Addict 20(3):1537–1545. https://doi.org/10.1007/s11469-020-00270-8 - DOI
    1. Asparouhov T, Muthén B (2014) Auxiliary variables in mixture modeling: three-step approaches using Mplus. Struct Equ Model 21(3):329–341. https://doi.org/10.1080/10705511.2014.915181 - DOI
    1. Blanco C, Rubio J, Wall M, Wang S, Jiu CJ, Kendler KS (2014) Risk factors for anxiety disorders: common and specific effects in a national sample. Depress Anxiety 31(9):756–764. https://doi.org/10.1002/da.22247 - DOI - PubMed - PMC

LinkOut - more resources