Latent class profiles of psychiatric comorbidity among substance-affected Nigerian adolescents: a population-based analysis - Report - MDSpire

Latent class profiles of psychiatric comorbidity among substance-affected Nigerian adolescents: a population-based analysis

  • By

  • Abiodun O. Adewuya

  • Olushola Olibamoyo

  • Azizat Lebimoyo

  • Olabisi E. Oladipo

  • Arit Esangbedo

  • May 20, 2026

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Profiles of Psychiatric Comorbidity in Substance-Affected Adolescents in Nigeria

Overview

This study identifies distinct profiles of psychiatric comorbidity among adolescents with substance use disorders (SUD) in Nigeria. Utilizing latent class analysis, it reveals varying patterns of psychiatric conditions that correlate with increased functional impairment and suicidality.

Background

Understanding psychiatric comorbidity in substance-affected adolescents is crucial, especially in Nigeria, where mental health resources are severely limited. The clustering of psychiatric disorders can lead to more complex clinical presentations and increased risk of adverse outcomes, including suicidal behavior. This research aims to fill the gap in knowledge regarding how these conditions manifest in a sub-Saharan African context.

Data Highlights

No numerical data available in the provided source material.

Key Findings

  • Latent class analysis identified distinct profiles of psychiatric comorbidity among adolescents with SUD.
  • Higher rates of suicidality were associated with specific comorbidity profiles.
  • Cumulative adversity exposure correlated with more complex multimorbidity patterns.
  • Functional impairment varied significantly across identified classes of psychiatric burden.
  • Limited mental health service capacity in Nigeria complicates the treatment of these adolescents.

Clinical Implications

Clinicians should consider the diverse psychiatric profiles when assessing adolescents with SUD to tailor interventions effectively. Understanding the specific comorbidities can guide risk stratification and inform targeted treatment approaches in resource-constrained settings.

Conclusion

The study highlights the importance of recognizing psychiatric comorbidity in substance-affected adolescents in Nigeria, which can inform better clinical practices and resource allocation. Further research is needed to validate these findings and improve mental health services.

Related Resources & Content

  1. BMC Psychiatry (Springer, 2025) — Prevalence of substance use disorder in individuals with attention deficit/hyperactivity disorder: associations with sex and psychiatric comorbidity
  2. BMC Psychiatry (Springer, 2025) — Alcohol use among adolescents in eight sub-Saharan African countries: evidence from the Global School-based student health survey (2012–2017) using the socio-ecological model
  3. BMC Psychiatry (Springer, 2025) — The Influence of Childhood Abuse on Early Substance Use: Gender Variations in the Effects of Different Maltreatment Types and Associated Psychiatric Disorders
  4. Clinical Practice Guideline: Assessment and Treatment of Adolescents and Young Adults With Substance Use Disorders and Problematic Substance Use (Excluding Tobacco) - ScienceDirect
  5. Integrated Collaborative Care for Youths With Mental Health and Substance Use Challenges: A Randomized Clinical Trial | Health Care Delivery Models | JAMA Network Open
  6. Open Forum Infectious Diseases — Outcomes of HIV Care Continuum in Latin American and Caribbean Adolescents and Young Adults: Links to Depression and Substance Use
  7. Clinical Practice Guideline: Assessment and Treatment of Adolescents and Young Adults With Substance Use Disorders and Problematic Substance Use (Excluding Tobacco) - ScienceDirect
  8. Integrated Collaborative Care for Youths With Mental Health and Substance Use Challenges: A Randomized Clinical Trial | Health Care Delivery Models | JAMA Network Open | JAMA Network
  9. UNODC STRATEGIC VISION FOR NIGERIA 2030United Nati

Original Source(s)

Latent class profiles of psychiatric comorbidity among substance-affected Nigerian adolescents: a population-based analysis

  • by Abiodun O. Adewuya, Olushola Olibamoyo, Azizat Lebimoyo, Olabisi E. Oladipo, Arit Esangbedo

  • May 20, 2026

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