Psychosocial predictors of trajectories of dual cigarette and e-cigarette use among young adults in the US

Authors

Katelyn F. Romm, TSET Health Promotion Research Center, Stephenson Cancer Center, Univeristy of Oklahoma Health Sciences Center, Oklahoma City, OK, USA; Department of Pediatrics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA. Electronic address: katelyn-romm@ouhsc.edu.
Amy M. Cohn, TSET Health Promotion Research Center, Stephenson Cancer Center, Univeristy of Oklahoma Health Sciences Center, Oklahoma City, OK, USA; Department of Pediatrics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Yan Wang, Department of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA.
Carla J. Berg, Department of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA; George Washington Cancer Center, George Washington University, Washington, DC, USA.

Document Type

Journal Article

Publication Date

2-11-2023

Journal

Addictive behaviors

Volume

141

DOI

10.1016/j.addbeh.2023.107658

Keywords

Cigarette use; E-cigarette use; Psychosocial factors; Trajectories; Young adults

Abstract

INTRODUCTION: Young adults have the highest prevalence of cigarette and e-cigarette use, warranting research to identify psychosocial correlates of their use trajectories. METHODS: Repeated measures latent profile analyses (RMLPAs) examined past 6-month cigarette and e-cigarette trajectories across 5 waves of data (2018-2020) among 3,006 young adults (M = 24.56 [SD = 4.72], 54.8% female, 31.6% sexual minority, 60.2% racial/ethnic minority). Multinomial logistic regression models examined associations among psychosocial factors (i.e., depressive symptoms, adverse childhood experiences [ACEs], personality traits) and trajectories of cigarette and e-cigarette use, controlling for sociodemographics and past 6-month alcohol and cannabis use. RESULTS: RMLPAs yielded a 6-profile solution, which were uniquely associated with predictors: stable low-level or nonusers of cigarettes and e-cigarettes (66.3%; referent group), stable low-level cigarette and high-level e-cigarette use (12.3%; greater depressive symptoms, ACEs, openness; male, White, cannabis use), stable mid-level cigarette and low-level e-cigarette use (6.2%; greater depressive symptoms, ACEs, extraversion; less openness, conscientiousness; older age, male, Black or Hispanic, cannabis use), stable low-level cigarette and decreasing e-cigarette use (6.0%; greater depressive symptoms, ACEs, openness; younger age, cannabis use), stable high-level cigarette and low-level e-cigarette use (4.7%; greater depressive symptoms, ACEs, extraversion; older age, cannabis use), and decreasing high-level cigarette and stable high-level e-cigarette use (4.5%; greater depressive symptoms, ACEs, extraversion, less conscientiousness; older age, cannabis use). CONCLUSIONS: Cigarette and e-cigarette prevention and cessation efforts should be targeted both toward specific trajectories of use and their unique psychosocial correlates.

APA Citation

Romm, Katelyn F.; Cohn, Amy M.; Wang, Yan; and Berg, Carla J., "Psychosocial predictors of trajectories of dual cigarette and e-cigarette use among young adults in the US" (2023). GW Authored Works. Paper 2409.
https://hsrc.himmelfarb.gwu.edu/gwhpubs/2409

Department

Prevention and Community Health