Urinary Nicotine Metabolites and Self-Reported Tobacco Use Among Adults in the Population Assessment of Tobacco and Health (PATH) Study, 2013–2014. Issue 5 (20th November 2021)

• Record Type: Journal Article
• Authors: Feng, June; Sosnoff, Connie S; Bernert, John T; Blount, Benjamin C; Li, Yao; Del Valle-Pinero, Arseima Y; Kimmel, Heather L; van Bemmel, Dana M; Rutt, Sharyn M; Crespo-Barreto, Juan; Borek, Nicolette; Edwards, Kathryn C; Alexander, Ricky; Arnstein, Stephen; Lawrence, Charles; Hyland, Andrew; Goniewicz, Maciej L; Rehmani, Imran; Pine, Brittany; Pagnotti, Vincent; Wade, Erin; Sandlin, James; Luo, Zuzheng; Piyankarage, Sujeewa; Hatsukami, Dorothy K; Hecht, Stephen S; Conway, Kevin P; Wang, Lanqing
• Is Part Of: Nicotine & tobacco research. Volume 24:Issue 5(2022)
• Page Start: 768
• Page End: 777
• Publication Date: 2021-11-20
• Subjects: Nicotine -- Periodicals; Tobacco -- Research -- Periodicals; Tobacco habit -- Periodicals; Nicotine -- Periodicals; Tobacco -- Periodicals; Smoking -- Periodicals; 613.85
• DOI: 10.1093/ntr/ntab206
• Languages: English
• ISSNs: 1462-2203

Abstract

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.