Evidence map›Paper›PMID 39123205›Full record

ArticleHarm reduction journal2024

Modeling the population health impact of accurate and inaccurate perceptions of harm from nicotine.

Thaddaeus Hannel, Lai Wei, Raheema S Muhammad-Kah, Edward G Largo, Mohamadi Sarkar

Abstract read
In one paragraph

Article in Harm reduction journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Thaddaeus HannelAltria Client Services LLC Center for Research and Technology, 601 E. Jackson Street, 23219, Richmond, VA, USA.
Lai WeiAltria Client Services LLC Center for Research and Technology, 601 E. Jackson Street, 23219, Richmond, VA, USA.
Raheema S Muhammad-KahAltria Client Services LLC Center for Research and Technology, 601 E. Jackson Street, 23219, Richmond, VA, USA.
Edward G LargoAltria Client Services LLC Center for Research and Technology, 601 E. Jackson Street, 23219, Richmond, VA, USA.
Mohamadi SarkarAltria Client Services LLC Center for Research and Technology, 601 E. Jackson Street, 23219, Richmond, VA, USA. mohamadi.sarkar@altria.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundScientific evidence clearly demonstrates that inhaling the smoke from the combustion of cigarettes is responsible for most of the harm caused by smoking, and not the nicotine. However, a majority of U.S. adults who smoke inaccurately believe that nicotine causes cancer which may be a significant barrier, preventing switching to potentially reduced risk, non-combustible products like electronic nicotine delivery systems (ENDS) and smokeless tobacco (ST). We assessed the population health impact associated with nicotine perceptions.

methodsUsing a previously validated agent-based model to the U.S. population, we analyzed nationally representative data from the Population Assessment of Tobacco and Health (PATH) study to estimate base case rates of sustained (maintained over four waves) cessation and switching to non-combustible product use, by sex. Nicotine perception scenarios were determined from PATH data. The overall switch rate from smoking in Wave 4 to non-combustible product use in Wave 5 (3.94%) was stratified based on responses to the nicotine perception question "Do you believe nicotine is the chemical that causes most of the cancer caused by smoking cigarettes?", (four-item scale from "Definitely not" to "Definitely yes"). The relative percent change between the overall and stratified rates, corresponding to each item, was used to adjust the base case rates of switching, to determine the impact, if all adults who smoke exhibited switching behaviors based on responses to the nicotine perceptions question. The public health impact of nicotine perceptions was estimated as the difference in all-cause mortality between the base case and the four nicotine perception scenarios.

resultsSwitch rates associated with those who responded, "Definitely not" (8.39%) resulted in a net benefit of preventing nearly 800,000 premature deaths over an 85-year period. Conversely switch rates reflective of those who responded, "Definitely yes" (2.59%) resulted in a net harm of nearly 300,000 additional premature deaths over the same period.

conclusionsAccurate knowledge regarding the role of nicotine is associated with higher switch rates and prevention of premature deaths. Our findings suggest that promoting public education to correct perceptions of harm from nicotine has the potential to benefit public health.

Indexed as

NicotineAdolescentAdultAgedElectronic Nicotine Delivery SystemsFemaleHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedPopulation HealthSmoking CessationTobacco, SmokelessUnited StatesYoung AdultNicotineMisperceptionsNicotine perceptionsPopulation modelingPublic health impactTobacco harm reduction

Identifiers

PMID39123205
PMCPMC11312148

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.