Evidence map›Paper›PMID 35348786›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2022

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

June Feng, Connie S Sosnoff, John T Bernert, Benjamin C Blount, Yao Li, Arseima Y Del Valle-Pinero, Heather L Kimmel, Dana M van Bemmel, Sharyn M Rutt, Juan Crespo-Barreto and 18 more

Open access · bronzeAbstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Consistency of Biomarkers of Exposure in the Population Assessment of Tobacco and Health Study from Samples Taken 3 to 5 Years Apart.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    Article
  3. Article
  4. Article
  5. Urinary anatalline and nicotelline cut-points to distinguish between exclusive and dual use of tobacco products.Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals · 2024
    Article
  6. Article
  7. Article
  8. Validating Wave 1 (2014) Urinary Cotinine and TNE-2 Cut-points for Differentiating Wave 4 (2017) Cigarette Use from Non-use in the United States Using Data from the PATH Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  9. Article
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  14. Article
  15. Nicotine Exposure in the U.S. Population: Total Urinary Nicotine Biomarkers in NHANES 2015-2016.International journal of environmental research and public health · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

28 authors at 6 institutions in 1 country.

June FengDivision of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Connie S SosnoffDivision of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA.ORCID 0000-0001-9162-633X
John T BernertDivision of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Benjamin C BlountDivision of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Yao LiDivision of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Arseima Y Del Valle-PineroOffice of Science, Center for Tobacco Products, U.S. Food and Drug Administration, Silver Spring, MD, USA.
Heather L KimmelDivision of Epidemiology, Services and Prevention Research, National Institute of Drug Abuse, Bethesda, MD, USA.ORCID 0000-0001-8278-0095
Dana M van BemmelOffice of Science, Center for Tobacco Products, U.S. Food and Drug Administration, Silver Spring, MD, USA.
Sharyn M RuttOffice of Science, Center for Tobacco Products, U.S. Food and Drug Administration, Silver Spring, MD, USA.
Juan Crespo-BarretoOffice of Science, Center for Tobacco Products, U.S. Food and Drug Administration, Silver Spring, MD, USA.
Nicolette BorekOffice of Science, Center for Tobacco Products, U.S. Food and Drug Administration, Silver Spring, MD, USA.
Kathryn C EdwardsBehavioral Health and Health Policy, Westat, Rockville, MD, USA.
Ricky AlexanderDivision of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Stephen ArnsteinDivision of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Charles LawrenceBehavioral Health and Health Policy, Westat, Rockville, MD, USA.ORCID 0000-0002-0350-7259
Andrew HylandRoswell Park Comprehensive Cancer Center, Roswell Park Cancer Institute, Buffalo, NY, USA.
Maciej L GoniewiczRoswell Park Comprehensive Cancer Center, Roswell Park Cancer Institute, Buffalo, NY, USA.ORCID 0000-0001-6748-3068
Imran RehmaniDivision of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Brittany PineDivision of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Vincent PagnottiDivision of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Erin WadeDivision of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA.
James SandlinDivision of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Zuzheng LuoDivision of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Sujeewa PiyankarageDivision of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Dorothy K HatsukamiMasonic Cancer Center, University of Minnesota, Minneapolis, MN, USA.ORCID 0000-0002-1108-2609
Stephen S HechtMasonic Cancer Center, University of Minnesota, Minneapolis, MN, USA.ORCID 0000-0001-7228-1356
Kevin P ConwayDivision of Epidemiology, Services and Prevention Research, National Institute of Drug Abuse, Bethesda, MD, USA.
Lanqing WangDivision of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA.ORCID 0000-0001-6620-7096
Centers for Disease Control and Prevention · USUnited States Food and Drug Administration · USNational Institute on Drug Abuse · USRoswell Park Comprehensive Cancer Center · USUniversity of Minnesota Medical Center · USWestat (United States) · US

Funding

Women's CancerP30CA077598 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Timothy C. Hallstrom · 1998 to 2026
$100.4M
CDC HHSFDA HHSHHS HHSN271201100027CIntramural CDC HHS CC999999NCI NIH HHS P30 CA077598NIDA NIH HHS HHSN271201100027CNIDA NIH HHS HHSN271201600001C
6 · The paper itself

Abstract

introductionThe 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.

methodsTotal 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.

resultsAmong 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.

conclusionsThese 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.

Indexed as

Electronic Nicotine Delivery SystemsNicotineAdultBiomarkersCotinineHumansLongitudinal StudiesSelf ReportTobacco ProductsTobacco UseBiomarkersCotinineNicotine

Identifiers

PMID35348786
PMCPMC9116621
OpenAlexW4220850174

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.