Understanding heterogeneity among individuals who smoke cigarettes and vape: assessment of biomarkers of exposure and potential harm among subpopulations from the PATH Wave 1 Data

Abstract Introduction People who both smoke cigarettes and vape are often considered as a homogenous group even though multiple subgroups may exist. We examined biomarkers of exposure (BOE) and biomarkers of potential harm (BOPH) to differentiate between subgroups of people who smoke and vape based...

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Main Authors: Pavel N. Lizhnyak, Brendan Noggle, Lai Wei, Jeffery Edmiston, Elizabeth Becker, Ryan A. Black, Mohamadi Sarkar
Format: Article
Language:English
Published: BMC 2022-08-01
Series:Harm Reduction Journal
Subjects:
Online Access:https://doi.org/10.1186/s12954-022-00673-x
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author Pavel N. Lizhnyak
Brendan Noggle
Lai Wei
Jeffery Edmiston
Elizabeth Becker
Ryan A. Black
Mohamadi Sarkar
author_facet Pavel N. Lizhnyak
Brendan Noggle
Lai Wei
Jeffery Edmiston
Elizabeth Becker
Ryan A. Black
Mohamadi Sarkar
author_sort Pavel N. Lizhnyak
collection DOAJ
description Abstract Introduction People who both smoke cigarettes and vape are often considered as a homogenous group even though multiple subgroups may exist. We examined biomarkers of exposure (BOE) and biomarkers of potential harm (BOPH) to differentiate between subgroups of people who smoke and vape based on PATH Study Wave 1 (2013–2014) data. Methods We compared people who only smoke cigarettes everyday (Group A, n = 2442) and people who only vape everyday (Group C, n = 169) against people who smoke and vape segmented into subgroups of people who frequently smoke and vape (Group B1, n = 169), frequently smoke and infrequently vape (Group B2, n = 678), frequently vape and infrequently smoke (Group B3, n = 57), and infrequently smoke and vape (Group B4, n = 66). Eighteen BOEs (representing exposure to TSNAs, nicotine, heavy metals, PAHs, and volatile organic compounds) and four BOPHs (representing inflammation and oxidative stress) were compared within the subgroups. Results Levels of many BOEs/BOPHs were higher among Group B2 relative to Groups B1, B3, and B4. Compared to Group A, many BOEs were significantly lower in Groups B3 (15/18) and B4 (17/18), and some BOEs were higher among B2 (4/18). Compared to Group C, significantly lower BOEs were observed for Group B4 (2/18). Conclusions Overall, the levels of BOEs and BOPHs in people who smoke and vape are associated with frequency of cigarette smoking. Our findings indicate that not all people who smoke and vape are the same, and tobacco product use frequency should be considered when categorizing people who smoke and vape.
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spelling doaj.art-6d35f4c0ebfc461b9cc0eb0b64b45e162022-12-22T01:37:35ZengBMCHarm Reduction Journal1477-75172022-08-0119111010.1186/s12954-022-00673-xUnderstanding heterogeneity among individuals who smoke cigarettes and vape: assessment of biomarkers of exposure and potential harm among subpopulations from the PATH Wave 1 DataPavel N. Lizhnyak0Brendan Noggle1Lai Wei2Jeffery Edmiston3Elizabeth Becker4Ryan A. Black5Mohamadi Sarkar6Altria Client Services LLCAltria Client Services LLCAltria Client Services LLCAltria Client Services LLCAltria Client Services LLCAltria Client Services LLCAltria Client Services LLCAbstract Introduction People who both smoke cigarettes and vape are often considered as a homogenous group even though multiple subgroups may exist. We examined biomarkers of exposure (BOE) and biomarkers of potential harm (BOPH) to differentiate between subgroups of people who smoke and vape based on PATH Study Wave 1 (2013–2014) data. Methods We compared people who only smoke cigarettes everyday (Group A, n = 2442) and people who only vape everyday (Group C, n = 169) against people who smoke and vape segmented into subgroups of people who frequently smoke and vape (Group B1, n = 169), frequently smoke and infrequently vape (Group B2, n = 678), frequently vape and infrequently smoke (Group B3, n = 57), and infrequently smoke and vape (Group B4, n = 66). Eighteen BOEs (representing exposure to TSNAs, nicotine, heavy metals, PAHs, and volatile organic compounds) and four BOPHs (representing inflammation and oxidative stress) were compared within the subgroups. Results Levels of many BOEs/BOPHs were higher among Group B2 relative to Groups B1, B3, and B4. Compared to Group A, many BOEs were significantly lower in Groups B3 (15/18) and B4 (17/18), and some BOEs were higher among B2 (4/18). Compared to Group C, significantly lower BOEs were observed for Group B4 (2/18). Conclusions Overall, the levels of BOEs and BOPHs in people who smoke and vape are associated with frequency of cigarette smoking. Our findings indicate that not all people who smoke and vape are the same, and tobacco product use frequency should be considered when categorizing people who smoke and vape.https://doi.org/10.1186/s12954-022-00673-xPeople who smoke and vapeCigarettesE-vapor/E-cigarettesBiomarkers of exposureBiomarkers of potential harm
spellingShingle Pavel N. Lizhnyak
Brendan Noggle
Lai Wei
Jeffery Edmiston
Elizabeth Becker
Ryan A. Black
Mohamadi Sarkar
Understanding heterogeneity among individuals who smoke cigarettes and vape: assessment of biomarkers of exposure and potential harm among subpopulations from the PATH Wave 1 Data
Harm Reduction Journal
People who smoke and vape
Cigarettes
E-vapor/E-cigarettes
Biomarkers of exposure
Biomarkers of potential harm
title Understanding heterogeneity among individuals who smoke cigarettes and vape: assessment of biomarkers of exposure and potential harm among subpopulations from the PATH Wave 1 Data
title_full Understanding heterogeneity among individuals who smoke cigarettes and vape: assessment of biomarkers of exposure and potential harm among subpopulations from the PATH Wave 1 Data
title_fullStr Understanding heterogeneity among individuals who smoke cigarettes and vape: assessment of biomarkers of exposure and potential harm among subpopulations from the PATH Wave 1 Data
title_full_unstemmed Understanding heterogeneity among individuals who smoke cigarettes and vape: assessment of biomarkers of exposure and potential harm among subpopulations from the PATH Wave 1 Data
title_short Understanding heterogeneity among individuals who smoke cigarettes and vape: assessment of biomarkers of exposure and potential harm among subpopulations from the PATH Wave 1 Data
title_sort understanding heterogeneity among individuals who smoke cigarettes and vape assessment of biomarkers of exposure and potential harm among subpopulations from the path wave 1 data
topic People who smoke and vape
Cigarettes
E-vapor/E-cigarettes
Biomarkers of exposure
Biomarkers of potential harm
url https://doi.org/10.1186/s12954-022-00673-x
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