Risk factors associated with subsequent initiation of cigarettes and e-cigarettes in adolescence: A structural equation modeling approach. (1st February 2020)

• Record Type: Journal Article
• Authors: Kintz, Natalie; Liu, Mengyu; Chou, Chih-Ping; Urman, Robert; Berhane, Kiros; Unger, Jennifer B.; Boley Cruz, Tess; McConnell, Rob; Barrington-Trimis, Jessica L.
• Is Part Of: Drug and alcohol dependence. Volume 207(2020)
• Publication Date: 2020-02-01
• Subjects: e-cigarettes -- Cigarettes -- Adolescence -- Structural equation models (SEM) -- Risk factors -- Prospective cohorts -- Longitudinal analysis -- Epidemiology; Drug abuse -- Periodicals; Alcoholism -- Periodicals; 616.86
• DOI: 10.1016/j.drugalcdep.2019.107676
• Languages: English
• ISSNs: 0376-8716

Abstract

Highlights: In SEM models, multiple independent risk factors – including e-cigarettes – were associated with cigarette initiation. Multiple risk factors were also associated with e-cigarette initiation. Notably, cigarette use was not associated with e-cigarette initiation in fully-adjusted SEM models. Abstract: Background: Previous youth tobacco research has identified multiple correlated risk factors for initiation of cigarette and e-cigarette use; whether these factors are independently associated with initiation is not known, due to challenges with disentangling the independent effects of these correlated risk factors. Methods: Students in 11 th /12 th grade enrolled in the Southern California Children's Health Study were surveyed in 2014 (baseline) and again in 2015 (N = 1553). Structural equation models (SEM) were developed to investigate associations of susceptibility, marketing, and the social environment (as latent factors), and other tobacco use at baseline with cigarette or e-cigarette initiation between baseline and follow-up. Analyses were restricted to baseline never cigarette users (N = 1293) for models evaluating cigarette initiation, and to never e-cigarette users (N = 1197) for models evaluating e-cigarette initiation. Results: In fully-adjusted prospective SEM models, latent factors for cigarette susceptibility, marketing, and the social environment, along with ever e-cigarette use and ever hookah use at baseline were independently associated with cigarette initiation between baseline and follow-up (P < 0.05). Similarly, latent factors for e-cigarette susceptibility, marketing, and the social environment, along with ever hookah use at baseline were associated with e-cigarette initiation between baseline and follow-up (P < 0.05); however, cigarette use at baseline was not associated with e-cigarette initiation in SEM models (P = 0.16). Conclusions: We identified independent effects of multiple risk factors in SEM models on initiation of cigarettes and e-cigarettes. E-cigarette use was associated with cigarette initiation, but cigarette use was not associated with e-cigarette initiation in fully adjusted models. Research to identify underlying causal mechanisms is warranted.