Identifying and Understanding Use Trajectories of Cigarettes and E-Cigarettes

Area of Science:

• Tobacco Regulatory Science
• Public Health
• Behavioral Science

Background:

• Rising e-cigarette use, especially dual use with traditional cigarettes, necessitates research into user behaviors.
• Understanding these patterns is vital for informing effective tobacco control policies.

Purpose of the Study:

• To identify distinct trajectories of e-cigarette and cigarette use over time.
• To examine participant and product characteristics that predict these use trajectories.
• To inform targeted tobacco regulatory strategies.

Main Methods:

• Analysis of longitudinal data from the Population Assessment of Tobacco and Health (PATH) study (2013-2019).
• Latent class analysis (LCA) to identify use trajectories.
• Random forest and multinomial logistic regression to determine predictors of use patterns.

Main Results:

• Four cigarette use trajectories and three e-cigarette use trajectories were identified.
• Predictors of e-cigarette use varied significantly across different cigarette smoking groups.
• Perceptions of harm and demographic factors like age and social media use were key predictors.

Conclusions:

• Distinct patterns of combined e-cigarette and cigarette use exist.
• Predictors of e-cigarette progression differ based on established cigarette smoking status.
• Subgroup-specific behavioral insights are essential for developing targeted tobacco regulations.