Differentiating Reasons for Young Adult E-cigarette Use Using Maximum Difference Choice Models.

ABSTRACT:

Introduction

Understanding the reasons young adults use e-cigarettes (ie, vape)-and whether these motivations vary across groups-is essential for informing tobacco regulatory efforts.

Aims and methods

An online panel of young adults who vape (n = 230; age = 18-30 years) completed a maximum difference discrete choice task for 15 reasons for vaping. Over 9 choice sets, participants were presented a subset of 5 reasons and selected the most and least important. Hierarchical bayesian analysis estimated the relative importance of each reason. Latent class analysis (LCA) identified groups with similarly ranked reasons for use. Multinomial regression evaluated the association between sample characteristics and class membership.

Results

Overall, relaxation had the highest pro

SUBMITTER: Stone MD 

PROVIDER: S-EPMC10202642 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature