Literature DB >> 32693174

Cluster analysis of urinary tobacco biomarkers among U.S. adults: Population Assessment of Tobacco and Health (PATH) biomarker study (2013-2014).

Ban Majeed1, Daniel Linder2, Thomas Eissenberg3, Yelena Tarasenko4, Danielle Smith5, David Ashley6.   

Abstract

Tobacco use delivers nicotine, tobacco-specific nitrosamines (TSNAs), volatile organic compounds (VOCs), and polycyclic aromatic hydrocarbons (PAHs), which are metabolized and excreted in urine offering useful biomarkers of exposure. Previous studies compared individual toxicants across tobacco users. Based on a group of biomarkers, cluster analysis was used to define tobacco toxicant exposure profiles. Clusters with distinct exposure profiles, were determined and described, based on levels of urinary biomarkers of exposure to nicotine, TSNAs, VOCs, and PAHs among a national sample of current, established, adult tobacco users, and examine the association of use behavior and cluster membership. The PATH Biomarker Wave 1 data were analyzed. Current established tobacco users with complete urinary biomarker data were included (N = 6724). User groups included cigarette smokers, users of electronic cigarette (ECIG), smokeless tobacco (SLT), and dual and poly tobacco users. Cluster analysis, pairwise comparisons, and multinomial logistic regression were conducted. Cigarette smokers were primarily in clusters with high biomarker concentrations across all groups, but actual concentrations were associated with smoking quantity. A cluster with high TSNAs but low levels of PAHs and VOCs was heavily populated by SLT users. Exclusive ECIG users, depending on use frequency, were predominantly in clusters with low biomarker concentrations, except for one cluster that had relatively high TSNAs. Clusters heavily populated by dual and poly tobacco users were the same as those heavily populated by cigarette smokers. Ten exposure profiles (clusters) were determined and linked to tobacco use behavior. Findings could inform future research and policy initiatives.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cluster analysis; Dual use; ECIG; Exposure profile; Poly use; Smokeless tobacco; Smoking; Tobacco biomarkers

Mesh:

Substances:

Year:  2020        PMID: 32693174      PMCID: PMC7680301          DOI: 10.1016/j.ypmed.2020.106218

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  27 in total

1.  Associations of Cigarettes Smoked Per Day with Biomarkers of Exposure Among U.S. Adult Cigarette Smokers in the Population Assessment of Tobacco and Health (PATH) Study Wave 1 (2013-2014).

Authors:  Brian L Rostron; Catherine G Corey; Joanne T Chang; Dana M van Bemmel; Mollie E Miller; Cindy M Chang
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2019-06-25       Impact factor: 4.254

2.  Biomarkers of Exposure among Adult Smokeless Tobacco Users in the Population Assessment of Tobacco and Health Study (Wave 1, 2013-2014).

Authors:  Yu-Ching Cheng; Carolyn M Reyes-Guzman; Carol H Christensen; Brian L Rostron; Kathryn C Edwards; Lanqing Wang; Jun Feng; Jeffery M Jarrett; Cynthia D Ward; Baoyun Xia; Heather L Kimmel; Kevin Conway; Carmine Leggett; Kristie Taylor; Charlie Lawrence; Ray Niaura; Mark J Travers; Andrew Hyland; Stephen S Hecht; Dorothy K Hatsukami; Maciej L Goniewicz; Nicolette Borek; Benjamin C Blount; Dana M van Bemmel
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-01-27       Impact factor: 4.254

3.  Biomarkers of Tobacco Exposure: Summary of an FDA-Sponsored Public Workshop.

Authors:  Cindy M Chang; Selvin H Edwards; Aarthi Arab; Arseima Y Del Valle-Pinero; Ling Yang; Dorothy K Hatsukami
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-11-09       Impact factor: 4.254

Review 4.  Sources of variability in biomarker concentrations.

Authors:  Lesa L Aylward; Sean M Hays; Roel Smolders; Holger M Koch; John Cocker; Kate Jones; Nicholas Warren; Len Levy; Ruth Bevan
Journal:  J Toxicol Environ Health B Crit Rev       Date:  2014       Impact factor: 6.393

5.  Biomarkers of Exposure among U.S. Adult Cigar Smokers: Population Assessment of Tobacco and Health (PATH) Study Wave 1 (2013-2014).

Authors:  Cindy M Chang; Brian L Rostron; Joanne T Chang; Catherine G Corey; Heather L Kimmel; Connie S Sosnoff; Maciej L Goniewicz; Kathryn C Edwards; Dorothy K Hatsukami; Yuesong Wang; Arseima Y Del Valle-Pinero; Maocheng Yang; Mark J Travers; Stephen Arnstein; Kristie Taylor; Kevin Conway; Bridget K Ambrose; Nicolette Borek; Andrew Hyland; Lanqing Wang; Benjamin C Blount; Dana M van Bemmel
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2019-02-07       Impact factor: 4.254

6.  mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models.

Authors:  Luca Scrucca; Michael Fop; T Brendan Murphy; Adrian E Raftery
Journal:  R J       Date:  2016-08       Impact factor: 3.984

7.  Exposure to Nicotine and Selected Toxicants in Cigarette Smokers Who Switched to Electronic Cigarettes: A Longitudinal Within-Subjects Observational Study.

Authors:  Maciej L Goniewicz; Michal Gawron; Danielle M Smith; Margaret Peng; Peyton Jacob; Neal L Benowitz
Journal:  Nicotine Tob Res       Date:  2016-08-17       Impact factor: 4.244

Review 8.  Mechanisms of toxicity and biomarkers of flavoring and flavor enhancing chemicals in emerging tobacco and non-tobacco products.

Authors:  Gurjot Kaur; Thivanka Muthumalage; Irfan Rahman
Journal:  Toxicol Lett       Date:  2018-02-23       Impact factor: 4.372

9.  Cluster analysis: a new approach for identification of underlying risk factors for coronary artery disease in essential hypertensive patients.

Authors:  Qi Guo; Xiaoni Lu; Ya Gao; Jingjing Zhang; Bin Yan; Dan Su; Anqi Song; Xi Zhao; Gang Wang
Journal:  Sci Rep       Date:  2017-03-07       Impact factor: 4.379

10.  Evolution of Electronic Cigarette Brands From 2013-2014 to 2016-2017: Analysis of Brand Websites.

Authors:  Greta Hsu; Jessica Y Sun; Shu-Hong Zhu
Journal:  J Med Internet Res       Date:  2018-03-12       Impact factor: 5.428

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  3 in total

1.  Use of electronic nicotine delivery systems (ENDS) among U.S. women of reproductive age: Prevalence, reported reasons for use, and toxin exposure.

Authors:  Sulamunn R M Coleman; Janice Y Bunn; Tyler D Nighbor; Allison N Kurti; Hypatia A Bolívar; Rachel F Tyndale; Stephen T Higgins
Journal:  Prev Med       Date:  2021-04-27       Impact factor: 4.018

2.  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.

Authors:  Pavel N Lizhnyak; Brendan Noggle; Lai Wei; Jeffery Edmiston; Elizabeth Becker; Ryan A Black; Mohamadi Sarkar
Journal:  Harm Reduct J       Date:  2022-08-17

3.  Changes in Biomarkers of Cigarette Smoke Exposure After 6 Days of Switching Exclusively or Partially to Use of the JUUL System with Two Nicotine Concentrations: A Randomized Controlled Confinement Study in Adult Smokers.

Authors:  Gal Cohen; Nicholas I Goldenson; Patrick C Bailey; Stephanie Chan; Saul Shiffman
Journal:  Nicotine Tob Res       Date:  2021-11-05       Impact factor: 4.244

  3 in total

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