Opioid use at the transition to emerging adulthood: A latent class analysis of non-medical use of prescription opioids and heroin use.


Journal

Addictive behaviors
ISSN: 1873-6327
Titre abrégé: Addict Behav
Pays: England
ID NLM: 7603486

Informations de publication

Date de publication:
03 2021
Historique:
received: 20 08 2020
revised: 24 11 2020
accepted: 25 11 2020
pubmed: 15 12 2020
medline: 15 5 2021
entrez: 14 12 2020
Statut: ppublish

Résumé

Although rates of nonmedical opioid use are highest in late adolescence and emerging adulthood, efforts to understand the extent of the heterogeneity in opioid misuse during this time have been limited. The current study aimed to derive and define typologies of opioid use in high school students at the onset of emerging adulthood. Survey responses from a statewide sample of high school students aged 18 and 19 (N = 26,223) were analyzed. Group-based comparisons between participants reporting opioid use and those not reporting opioid use were conducted. Among those reporting opioid use (n = 1,636), we conducted a latent class analysis (LCA) to identify heterogeneous subgroups of opioid users on the basis of non-medical use of prescription opioids (NMUPO) and heroin use. The resulting classes were then compared across various risk and protective factors using multinominal logistic regression. Consistent differences were observed between participants using opioids and participants not using opioids, with moderate to large effect sizes. Results from LCA revealed three subclasses: NMUPO-Any Use, NMUPO To Get High, and Heroin Use. Subclass differences were observed for non-opioid substance use, mental health, and demographics. Findings from this study underscore the variability of youth who engage in opioid use in late adolescence. Results also indicate that opioid use during adolescence is likely indicative of a broader set of substance use and mental health issues.

Sections du résumé

BACKGROUND
Although rates of nonmedical opioid use are highest in late adolescence and emerging adulthood, efforts to understand the extent of the heterogeneity in opioid misuse during this time have been limited. The current study aimed to derive and define typologies of opioid use in high school students at the onset of emerging adulthood.
METHODS
Survey responses from a statewide sample of high school students aged 18 and 19 (N = 26,223) were analyzed. Group-based comparisons between participants reporting opioid use and those not reporting opioid use were conducted. Among those reporting opioid use (n = 1,636), we conducted a latent class analysis (LCA) to identify heterogeneous subgroups of opioid users on the basis of non-medical use of prescription opioids (NMUPO) and heroin use. The resulting classes were then compared across various risk and protective factors using multinominal logistic regression.
RESULTS
Consistent differences were observed between participants using opioids and participants not using opioids, with moderate to large effect sizes. Results from LCA revealed three subclasses: NMUPO-Any Use, NMUPO To Get High, and Heroin Use. Subclass differences were observed for non-opioid substance use, mental health, and demographics.
CONCLUSIONS
Findings from this study underscore the variability of youth who engage in opioid use in late adolescence. Results also indicate that opioid use during adolescence is likely indicative of a broader set of substance use and mental health issues.

Identifiants

pubmed: 33310393
pii: S0306-4603(20)30886-8
doi: 10.1016/j.addbeh.2020.106757
pii:
doi:

Substances chimiques

Analgesics, Opioid 0
Heroin 70D95007SX

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

106757

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Auteurs

Allen W Barton (AW)

Department of Human Development and Family Studies, University of Illinois, Urbana-Champaign, United States. Electronic address: awbarton@illinois.edu.

Crystal A Reinhart (CA)

Center for Prevention Research and Development, University of Illinois, Urbana-Champaign, United States. Electronic address: reinhrt@illinois.edu.

Corey C Campbell (CC)

School of Social Work, University of Illinois, Urbana-Champaign, United States. Electronic address: cccampbe@illinois.edu.

Doug C Smith (DC)

Center for Prevention Research and Development, University of Illinois, Urbana-Champaign, United States; School of Social Work, University of Illinois, Urbana-Champaign, United States. Electronic address: smithdc@illinois.edu.

Dolores Albarracin (D)

Department of Psychology, University of Illinois, Urbana-Champaign, United States. Electronic address: dalbarra@illinois.edu.

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