Evidence map›Paper›PMID 32693174›Full record

ArticlePreventive medicine2020

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

Ban Majeed, Daniel Linder, Thomas Eissenberg, Yelena Tarasenko, Danielle Smith, David Ashley

Open access · greenAbstract read
In one paragraph

Article in Preventive medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Nicotine and Toxicant Exposure among Individuals using both Combustible Cigarettes and E-cigarettes Based on Level of Product Use.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Article
  5. Smoking and endometriosis: A narrative review.Tobacco induced diseases · 2025
    Review
  6. Kids No Longer Smoke Cigarettes. Why Aren't We Celebrating?American journal of public health · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. 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

6 authors at 5 institutions in 1 country.

Ban MajeedDepartment of Population Health Sciences, Medical College of Georgia, Augusta University, Augusta, GA, United States of America. Electronic address: bmajeed@augusta.edu.
Daniel LinderDepartment of Population Health Sciences, Medical College of Georgia, Augusta University, Augusta, GA, United States of America.
Thomas EissenbergCenter for the Study of Tobacco Products, Department of Psychology, Virginia Commonwealth University, Richmond, VA, United States of America.
Yelena TarasenkoDivision of Biostatistics, Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, United States of America.
Danielle SmithDepartment of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States of America.
David AshleyDepartment of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA, United States of America.
Augusta University · USGeorgia Southern University · USGeorgia State University · USRoswell Park Comprehensive Cancer Center · USVirginia Commonwealth University · US

Funding

Project 4: Using a prospective cohort survey to test population-level predictions generated by Projects 1-3U54DA036105 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI FAGAN, PEBBLES · 2018 to 2022
$20.8M
The Science of Decision Making: Connecting People and PolicyP50DA036128 · NIDA · GEORGIA STATE UNIVERSITY · PI ERIKSEN, MICHAEL PAUL · 2013 to 2018
$19.4M
NIDA NIH HHS P50 DA036128NIDA NIH HHS U54 DA036105
6 · The paper itself

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.

Indexed as

Electronic Nicotine Delivery SystemsTobacco ProductsTobacco, SmokelessAdultBiomarkersCluster AnalysisHumansBiomarkersCluster analysisDual useECIGExposure profilePoly useSmokeless tobaccoSmokingTobacco biomarkers

Identifiers

PMID32693174
PMCPMC7680301
OpenAlexW3042387582

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.