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Quantifying population-level health benefits and harms of e-cigarette use in the United States

BACKGROUND: Electronic cigarettes (e-cigarettes) may help cigarette smokers quit smoking, yet they may also facilitate cigarette smoking for never-smokers. We quantify the balance of health benefits and harms associated with e-cigarette use at the population level. METHODS AND FINDINGS: Monte Carlo...

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Autores principales: Soneji, Samir S., Sung, Hai-Yen, Primack, Brian A., Pierce, John P., Sargent, James D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5851558/
https://www.ncbi.nlm.nih.gov/pubmed/29538396
http://dx.doi.org/10.1371/journal.pone.0193328
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author Soneji, Samir S.
Sung, Hai-Yen
Primack, Brian A.
Pierce, John P.
Sargent, James D.
author_facet Soneji, Samir S.
Sung, Hai-Yen
Primack, Brian A.
Pierce, John P.
Sargent, James D.
author_sort Soneji, Samir S.
collection PubMed
description BACKGROUND: Electronic cigarettes (e-cigarettes) may help cigarette smokers quit smoking, yet they may also facilitate cigarette smoking for never-smokers. We quantify the balance of health benefits and harms associated with e-cigarette use at the population level. METHODS AND FINDINGS: Monte Carlo stochastic simulation model. Model parameters were drawn from census counts, national health and tobacco use surveys, and published literature. We calculate the expected years of life gained or lost from the impact of e-cigarette use on smoking cessation among current smokers and transition to long-term cigarette smoking among never smokers for the 2014 US population cohort. RESULTS: The model estimated that 2,070 additional current cigarette smoking adults aged 25–69 (95% CI: -42,900 to 46,200) would quit smoking in 2015 and remain continually abstinent from smoking for ≥7 years through the use of e-cigarettes in 2014. The model also estimated 168,000 additional never-cigarette smoking adolescents aged 12–17 and young adults aged 18–29 (95% CI: 114,000 to 229,000), would initiate cigarette smoking in 2015 and eventually become daily cigarette smokers at age 35–39 through the use of e-cigarettes in 2014. Overall, the model estimated that e-cigarette use in 2014 would lead to 1,510,000 years of life lost (95% CI: 920,000 to 2,160,000), assuming an optimistic 95% relative harm reduction of e-cigarette use compared to cigarette smoking. As the relative harm reduction decreased, the model estimated a greater number of years of life lost. For example, the model estimated-1,550,000 years of life lost (95% CI: -2,200,000 to -980,000) assuming an approximately 75% relative harm reduction and -1,600,000 years of life lost (95% CI: -2,290,000 to -1,030,000) assuming an approximately 50% relative harm reduction. CONCLUSIONS: Based on the existing scientific evidence related to e-cigarettes and optimistic assumptions about the relative harm of e-cigarette use compared to cigarette smoking, e-cigarette use currently represents more population-level harm than benefit. Effective national, state, and local efforts are needed to reduce e-cigarette use among youth and young adults if e-cigarettes are to confer a net population-level benefit in the future.
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spelling pubmed-58515582018-03-23 Quantifying population-level health benefits and harms of e-cigarette use in the United States Soneji, Samir S. Sung, Hai-Yen Primack, Brian A. Pierce, John P. Sargent, James D. PLoS One Research Article BACKGROUND: Electronic cigarettes (e-cigarettes) may help cigarette smokers quit smoking, yet they may also facilitate cigarette smoking for never-smokers. We quantify the balance of health benefits and harms associated with e-cigarette use at the population level. METHODS AND FINDINGS: Monte Carlo stochastic simulation model. Model parameters were drawn from census counts, national health and tobacco use surveys, and published literature. We calculate the expected years of life gained or lost from the impact of e-cigarette use on smoking cessation among current smokers and transition to long-term cigarette smoking among never smokers for the 2014 US population cohort. RESULTS: The model estimated that 2,070 additional current cigarette smoking adults aged 25–69 (95% CI: -42,900 to 46,200) would quit smoking in 2015 and remain continually abstinent from smoking for ≥7 years through the use of e-cigarettes in 2014. The model also estimated 168,000 additional never-cigarette smoking adolescents aged 12–17 and young adults aged 18–29 (95% CI: 114,000 to 229,000), would initiate cigarette smoking in 2015 and eventually become daily cigarette smokers at age 35–39 through the use of e-cigarettes in 2014. Overall, the model estimated that e-cigarette use in 2014 would lead to 1,510,000 years of life lost (95% CI: 920,000 to 2,160,000), assuming an optimistic 95% relative harm reduction of e-cigarette use compared to cigarette smoking. As the relative harm reduction decreased, the model estimated a greater number of years of life lost. For example, the model estimated-1,550,000 years of life lost (95% CI: -2,200,000 to -980,000) assuming an approximately 75% relative harm reduction and -1,600,000 years of life lost (95% CI: -2,290,000 to -1,030,000) assuming an approximately 50% relative harm reduction. CONCLUSIONS: Based on the existing scientific evidence related to e-cigarettes and optimistic assumptions about the relative harm of e-cigarette use compared to cigarette smoking, e-cigarette use currently represents more population-level harm than benefit. Effective national, state, and local efforts are needed to reduce e-cigarette use among youth and young adults if e-cigarettes are to confer a net population-level benefit in the future. Public Library of Science 2018-03-14 /pmc/articles/PMC5851558/ /pubmed/29538396 http://dx.doi.org/10.1371/journal.pone.0193328 Text en © 2018 Soneji et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Soneji, Samir S.
Sung, Hai-Yen
Primack, Brian A.
Pierce, John P.
Sargent, James D.
Quantifying population-level health benefits and harms of e-cigarette use in the United States
title Quantifying population-level health benefits and harms of e-cigarette use in the United States
title_full Quantifying population-level health benefits and harms of e-cigarette use in the United States
title_fullStr Quantifying population-level health benefits and harms of e-cigarette use in the United States
title_full_unstemmed Quantifying population-level health benefits and harms of e-cigarette use in the United States
title_short Quantifying population-level health benefits and harms of e-cigarette use in the United States
title_sort quantifying population-level health benefits and harms of e-cigarette use in the united states
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5851558/
https://www.ncbi.nlm.nih.gov/pubmed/29538396
http://dx.doi.org/10.1371/journal.pone.0193328
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