US Nicotine Vaping Product SimSmoke Simulation Model: The Effect of Vaping and Tobacco Control Policies on Smoking Prevalence and Smoking-Attributable Deaths

David T. Levy, Luz María Sánchez-Romero, Nargiz Travis, Zhe Yuan, Yameng Li, Sarah Skolnick, Jihyoun Jeon, Jamie Tam and Rafael Meza
Additional contact information
David T. Levy: Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20007, USA
Luz María Sánchez-Romero: Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20007, USA
Nargiz Travis: Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20007, USA
Zhe Yuan: Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20007, USA
Yameng Li: Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20007, USA
Sarah Skolnick: Department of Epidemiology, University of Michigan, Ann Arbor, MI 48109, USA
Jihyoun Jeon: Department of Epidemiology, University of Michigan, Ann Arbor, MI 48109, USA
Jamie Tam: Department of Health Policy and Management, Yale University School of Public Health, Hartford, CT 06520, USA
Rafael Meza: Department of Epidemiology, University of Michigan, Ann Arbor, MI 48109, USA

IJERPH, 2021, vol. 18, issue 9, 1-22

Abstract: The public health impact of nicotine vaping products (NVPs) is subject to a complex set of uncertain transitions between NVP and cigarette use. Instead, we apply an indirect method to gauge the impact of NVP use on smoking prevalence and smoking-attributable deaths (SADs) using the well-established SimSmoke tobacco control policy simulation model. Upon validating the model before NVPs were more widely used, we project a No-NVP (i.e., in the absence of NVPs) while controlling for the impact of cigarette-oriented policies. The net impact of NVPs on smoking prevalence is inferred by comparing the projected No-NVP smoking trends to corresponding trends from two US national surveys. Using the TUS-CPS estimates for the period 2012–2018, we estimate that adult smoking prevalence declined in relative terms by 9.7% (95% CI: 7.5–11.7%) for males and 10.7% (95% CI: 9.1–13.0%) for females. Compared to NHIS, smoking prevalence declined by 10.7% (95% CI: 6.8–14.6%) for males and 11.3% (95% CI: 7.4–15.6%) for females. These impacts were confined mainly to ages 18–44. Vaping-related reductions in smoking prevalence were projected to avert nearly 0.4 million SADs between 2012 and 2052. Our analysis indicates that NVP use is associated with substantial reductions in US smoking prevalence among younger adults.

Keywords: smoking; cigarettes; e-cigarettes; ENDS; vaping; tobacco control; simulation model; public health (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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