ArticleLancet regional health. Americas2022
Exploring the dynamic transitions of polysubstance use patterns among Canadian youth using Latent Markov Models on COMPASS data.
Article in Lancet regional health. Americas, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- E-cigarette and cannabis use and co-use patterns and dependence trajectories among young adults in the United States.Addiction (Abingdon, England) · 2026Article
- Chronic Health Conditions and Substance Use Among Canadian Youth: A Nationally Representative Study: Problèmes de santé chroniques et usage de substances chez les jeunes Canadiens : étude représentative à l'échelle nationale.Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2026Article
- Disparities in suicide risk trajectories among youth during the COVID-19 pandemic.Journal of research on adolescence : the official journal of the Society for Research on Adolescence · 2026Article
- Investigating the association between school substance programs and student substance use: accounting for informative cluster size.Epidemiologic methods · 2025Article
- Understanding youth and young adult cannabis use in Canada post-legalization: a scoping review on a public health issue.Substance abuse treatment, prevention, and policy · 2024Article
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Authors and funding
7 authors.
Funding
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Abstract
Background: Understanding what factors lead to youth polysubstance use (PSU) patterns and how the transitions between use patterns can inform the design and implementation of PSU prevention programs. We explore the dynamics of PSU patterns from a large cohort of Canadian secondary school students using machine learning techniques. Methods: We employed a multivariate latent Markov model (LMM) on COMPASS data, with a linked sample (N = 8824) of three-annual waves, Wave I (W Outcomes: Four distinct use patterns were identified: no-use (S1), single-use of alcohol (S2), dual-use of e-cigarettes and alcohol (S3), and multi-use (S4). S1 had the highest prevalence (60.5%) at W Interpretation: This is the first study to ascertain the dynamics of use patterns and factors in youth PSU utilizing LMM with population-based longitudinal health surveys, providing evidence in developing programs to prevent youth PSU. Funding: The Applied Health Sciences scholarship; the Microsoft AI for Good grant; the Canadian Institutes of Health Research, Health Canada, the Canadian Centre on Substance Abuse, the SickKids Foundation, the Ministère de la Santé et des Services sociaux of the province of Québec.
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