Literature DB >> 30548714

A modeling approach to gauging the effects of nicotine vaping product use on cessation from cigarettes: what do we know, what do we need to know?

David T Levy1, Zhe Yuan1, Yameng Li1, Anthony J Alberg2, K Michael Cummings3,4.   

Abstract

BACKGROUND AND AIMS: The long-term population health impact of nicotine vaping products (NVPs) use among smokers is unknown, and subject to a range of plausible assumptions about the use and health consequences of NVPs. While NVPs use may substitute for cigarette smoking and thereby aid in quitting cigarette use, it is also possible that smokers who would have otherwise quit would instead delay quitting cigarettes. We aimed to develop a cohort-specific simulation model of the impact of NVPs on smoking cessation by adult smokers and resulting premature deaths (PD) and life years lost (LYL).
DESIGN: A cohort-specific simulation model of the impact of NVPs on smoking cessation by adult smokers and resulting premature deaths (PD) and life years lost (LYL) was developed by gender for two birth cohorts, aged 30 and 50 years in 2012. Extensive sensitivity analyses were conducted.
SETTING: United States. PARTICIPANTS: Smokers in two birth cohorts, aged 30 and 50 years in 2012. MEASUREMENTS: Data were from the 1965-2012 National Health Interview Surveys and the 2014/15 Tobacco Use Supplement of the Current Population Survey. The model incorporated a range of plausible assumptions from published literature about transition rates from regular smoking to exclusive NVP and dual use, from dual use to exclusive NVP use and from exclusive NVP use to no use.
FINDINGS: Compared with the no-NVP scenario, the male (female) model projected 17.8% (19.3%) fewer PDs and 22.9% (26.6%) fewer LYL for the 1982 cohort and 5.4% (7.3%) fewer PDs and 7.9% (11.4%) fewer LYL for the 1962 cohort. These gains were sensitive to NVP use over time, age of initial NVP use, transitions from smoking to dual, exclusive NVP and no use and relative NVP mortality risks.
CONCLUSIONS: Nicotine vaping product (NVP) use in the United States is projected to have a net positive impact on population health over a wide range of plausible levels of NVP use, transitions to dual, exclusive NVP and no use and NVP risks. However, net impact is sensitive to parameter estimates.
© 2018 Society for the Study of Addiction.

Entities:  

Keywords:  Cessation; cohort analysis; e-cigarettes; model; public health; vaporized nicotine products

Year:  2019        PMID: 30548714     DOI: 10.1111/add.14530

Source DB:  PubMed          Journal:  Addiction        ISSN: 0965-2140            Impact factor:   6.526


  5 in total

1.  Predicting the future of smoking in a rapidly evolving nicotine market-place.

Authors:  K Michael Cummings; Geoffrey T Fong
Journal:  Addiction       Date:  2019-10-07       Impact factor: 6.526

2.  Novel microsimulation model of tobacco use behaviours and outcomes: calibration and validation in a US population.

Authors:  Krishna P Reddy; Alexander J B Bulteel; Douglas E Levy; Pamela Torola; Emily P Hyle; Taige Hou; Benjamin Osher; Liyang Yu; Fatma M Shebl; A David Paltiel; Kenneth A Freedberg; Milton C Weinstein; Nancy A Rigotti; Rochelle P Walensky
Journal:  BMJ Open       Date:  2020-05-12       Impact factor: 2.692

Review 3.  Improving on estimates of the potential relative harm to health from using modern ENDS (vaping) compared to tobacco smoking.

Authors:  Nick Wilson; Jennifer A Summers; Driss Ait Ouakrim; Janet Hoek; Richard Edwards; Tony Blakely
Journal:  BMC Public Health       Date:  2021-11-08       Impact factor: 4.135

Review 4.  [Diversification of smoking cessation programmes-the role of e-cigarettes].

Authors:  Heino Stöver
Journal:  Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz       Date:  2021-10-12       Impact factor: 1.513

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

Authors:  David T Levy; Luz María Sánchez-Romero; Nargiz Travis; Zhe Yuan; Yameng Li; Sarah Skolnick; Jihyoun Jeon; Jamie Tam; Rafael Meza
Journal:  Int J Environ Res Public Health       Date:  2021-05-03       Impact factor: 4.614

  5 in total

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