Abstract
Investigating cannabis vaping and its poly-substance use patterns using latent class analysis
APHA 2025 Annual Meeting and Expo
Methods: This study used the restricted data files of the Population Assessment of Tobacco and Health Study (PATH, waves 4-7). Latent class analysis (LCA) was used to identify substances that co-occur with cannabis vaping.
Results: Overall, LCA identified models with four classes (abstainers, drinkers, smoker-drinkers, and poly-substance users) to explain co-occurrence of ten substance groups (cannabis vaping, joint smoking, blunt smoking, alcohol, nicotine smoking, nicotine vaping, cigar, other tobacco product, prescription drugs, and hard drugs). Cannabis use tended to co-occur with other substances regardless of its mode of use. Stratified LCA showed that states with RCL had a relatively smaller proportion of individuals identified as abstainers (γ = 0.48 vs. 0.52), while having a relatively larger proportion of individuals identified as poly-substance users (γ = 0.17 vs. 0.10). However, predictors of polysubstance use did not notably differ by RCL status.
Conclusions: Future substance-use research must account for RCL status. Individuals reporting cannabis use may be most susceptible to poly-substance use.
Advocacy for health and health education Chronic disease management and prevention Epidemiology Public health or related public policy Public health or related research Social and behavioral sciences