Literature DB >> 35348786

Urinary Nicotine Metabolites and Self-Reported Tobacco Use Among Adults in the Population Assessment of Tobacco and Health (PATH) Study, 2013-2014.

June Feng1, Connie S Sosnoff1, John T Bernert1, Benjamin C Blount1, Yao Li1, Arseima Y Del Valle-Pinero2, Heather L Kimmel3, Dana M van Bemmel2, Sharyn M Rutt2, Juan Crespo-Barreto2, Nicolette Borek2, Kathryn C Edwards4, Ricky Alexander1, Stephen Arnstein1, Charles Lawrence4, Andrew Hyland5, Maciej L Goniewicz5, Imran Rehmani1, Brittany Pine1, Vincent Pagnotti1, Erin Wade1, James Sandlin1, Zuzheng Luo1, Sujeewa Piyankarage1, Dorothy K Hatsukami6, Stephen S Hecht6, Kevin P Conway3, Lanqing Wang1.   

Abstract

INTRODUCTION: The Population Assessment of Tobacco and Health (PATH) Study is a longitudinal cohort study on tobacco use behavior, attitudes and beliefs, and tobacco-related health outcomes, including biomarkers of tobacco exposure in the U.S. population. In this report we provide a summary of urinary nicotine metabolite measurements among adult users and non-users of tobacco from Wave 1 (2013-2014) of the PATH Study.
METHODS: Total nicotine and its metabolites including cotinine, trans-3'-hydroxycotinine (HCTT), and other minor metabolites were measured in more than 11 500 adult participants by liquid chromatography tandem mass spectrometry methods. Weighted geometric means (GM) and least square means from statistical modeling were calculated for non-users and users of various tobacco products.
RESULTS: Among daily users, the highest GM concentrations of nicotine, cotinine and HCTT were found in exclusive smokeless tobacco users, and the lowest in exclusive e-cigarette users. Exclusive combustible product users had intermediate concentrations, similar to those found in users of multiple products (polyusers). Concentrations increased with age within the categories of tobacco users, and differences associated with gender, race/ethnicity and educational attainment were also noted among user categories. Recent (past 12 months) former users had GM cotinine concentrations that were more than threefold greater than never users.
CONCLUSIONS: These urinary nicotine metabolite data provide quantification of nicotine exposure representative of the entire US adult population during 2013-2014 and may serve as a reference for similar analyses in future measurements within this study. IMPLICATIONS: Nicotine and its metabolites in urine provide perhaps the most fundamental biomarkers of recent nicotine exposure. This report, based on Wave 1 of the Population Assessment of Tobacco and Health (PATH) Study, provides the first nationally representative data describing urinary nicotine biomarker concentrations in both non-users, and users of a variety of tobacco products including combustible, e-cigarette and smokeless products. These data provide a urinary biomarker concentration snapshot in time for the entire US population during 2013-2014, and will provide a basis for comparison with future results from continuing, periodic evaluations in the PATH Study. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco 2021.

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Year:  2022        PMID: 35348786      PMCID: PMC9116621          DOI: 10.1093/ntr/ntab206

Source DB:  PubMed          Journal:  Nicotine Tob Res        ISSN: 1462-2203            Impact factor:   5.825


  32 in total

Review 1.  Biomarkers of exposure to new and emerging tobacco delivery products.

Authors:  Suzaynn F Schick; Benjamin C Blount; Peyton Jacob; Najat A Saliba; John T Bernert; Ahmad El Hellani; Peter Jatlow; R Steven Pappas; Lanqing Wang; Jonathan Foulds; Arunava Ghosh; Stephen S Hecht; John C Gomez; Jessica R Martin; Clementina Mesaros; Sanjay Srivastava; Gideon St Helen; Robert Tarran; Pawel K Lorkiewicz; Ian A Blair; Heather L Kimmel; Claire M Doerschuk; Neal L Benowitz; Aruni Bhatnagar
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2017-05-18       Impact factor: 5.464

2.  Chemical characterization of domestic oral tobacco products: total nicotine, pH, unprotonated nicotine and tobacco-specific N-nitrosamines.

Authors:  Tameka S Lawler; Stephen B Stanfill; Liqin Zhang; David L Ashley; Clifford H Watson
Journal:  Food Chem Toxicol       Date:  2013-03-19       Impact factor: 6.023

Review 3.  Interpretation of urine results used to assess chemical exposure with emphasis on creatinine adjustments: a review.

Authors:  M F Boeniger; L K Lowry; J Rosenberg
Journal:  Am Ind Hyg Assoc J       Date:  1993-10

4.  Deaths: leading causes for 2010.

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Journal:  Natl Vital Stat Rep       Date:  2013-12-20

5.  Racial differences in the relationship between rate of nicotine metabolism and nicotine intake from cigarette smoking.

Authors:  Kathryn C Ross; Noah R Gubner; Rachel F Tyndale; Larry W Hawk; Caryn Lerman; Tony P George; Paul Cinciripini; Robert A Schnoll; Neal L Benowitz
Journal:  Pharmacol Biochem Behav       Date:  2016-05-11       Impact factor: 3.533

6.  Comparison of tests used to distinguish smokers from nonsmokers.

Authors:  M J Jarvis; H Tunstall-Pedoe; C Feyerabend; C Vesey; Y Saloojee
Journal:  Am J Public Health       Date:  1987-11       Impact factor: 9.308

7.  Similar exposure to a tobacco-specific carcinogen in smokeless tobacco users and cigarette smokers.

Authors:  Stephen S Hecht; Steven G Carmella; Sharon E Murphy; William T Riley; Chap Le; Xianghua Luo; Marc Mooney; Dorothy K Hatsukami
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2007-08       Impact factor: 4.254

8.  Comparison of Urinary Biomarkers of Exposure in Humans Using Electronic Cigarettes, Combustible Cigarettes, and Smokeless Tobacco.

Authors:  Pawel Lorkiewicz; Daniel W Riggs; Rachel J Keith; Daniel J Conklin; Zhengzhi Xie; Saurin Sutaria; Blake Lynch; Sanjay Srivastava; Aruni Bhatnagar
Journal:  Nicotine Tob Res       Date:  2019-08-19       Impact factor: 4.244

9.  Nicotine and Toxicant Exposure among U.S. Smokeless Tobacco Users: Results from 1999 to 2012 National Health and Nutrition Examination Survey Data.

Authors:  Brian L Rostron; Cindy M Chang; Dana M van Bemmel; Yang Xia; Benjamin C Blount
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2015-12       Impact factor: 4.254

10.  Total Exposure Study Analysis consortium: a cross-sectional study of tobacco exposures.

Authors:  Andrew W Bergen; Ruth Krasnow; Harold S Javitz; Gary E Swan; Ming D Li; James W Baurley; Xiangning Chen; Lenn Murrelle; Barbara Zedler
Journal:  BMC Public Health       Date:  2015-09-07       Impact factor: 3.295

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  2 in total

1.  Association between Fathers' Use of Heated Tobacco Products and Urinary Cotinine Concentrations in Their Spouses and Children.

Authors:  Ayumi Onoue; Yohei Inaba; Kentaro Machida; Takuya Samukawa; Hiromasa Inoue; Hajime Kurosawa; Hiromitsu Ogata; Naoki Kunugita; Hisamitsu Omori
Journal:  Int J Environ Res Public Health       Date:  2022-05-21       Impact factor: 4.614

2.  A Mixed-Methods Study on Use of Different Tobacco Products among Younger and Older Adults with Lower and Higher Levels of Nicotine Exposure in California in 2019-2020.

Authors:  Arit Harvanko; Kimberly A Koester; Gideon St Helen; Sarah Olson; Hyunjin Cindy Kim; Pamela M Ling
Journal:  Int J Environ Res Public Health       Date:  2022-05-03       Impact factor: 4.614

  2 in total

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