Exploring the dynamic transitions of polysubstance use patterns among Canadian youth using Latent Markov Models on COMPASS data.

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_I, 2016-17, as baseline), Wave II (W_II, 2017-18), and Wave III (W_III, 2018-19). Substance use indicators, i.e., cigarette, e-cigarette, alcohol and marijuana, were self-reported and were categorized into never/occasional/current use.

Outcomes

Four distinct use patterns w

SUBMITTER: Yang Y 

PROVIDER: S-EPMC9904069 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature