Evidence map›Paper›PMID 37804563›Full record

ArticleDrug and alcohol dependence2023

Racial and ethnic disparities in biomarkers of exposure and potential harm among U.S. adult exclusive e-cigarette users: 2013-2019.

Hongying Daisy Dai, Nikki Nollen, Stephen Rennard, Nicolas Guenzel, Hanh Pham, Ali S Khan

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Biomarkers of Nicotine and Toxicant Exposure by E-Liquid Nicotine Concentration Level among US Adult Exclusive E-Cigarette Users.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    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.

Hongying Daisy DaiCollege of Public Health, University of Nebraska Medical Center, Omaha, NE, United States. Electronic address: daisy.dai@unmc.edu.
Nikki NollenDepartment of Population Health, University of Kansas Medical Center, Kansas City, KS, United States.
Stephen RennardCollege of Medicine, University of Nebraska Medical Center, Omaha, NE, United States.
Nicolas GuenzelCollege of Nursing, University of Nebraska Medical Center, Omaha, NE, United States.
Hanh PhamCollege of Public Health, University of Nebraska Medical Center, Omaha, NE, United States; College of Osteopathic Medicine, Kansas City University, Kansas City, MO, United States.
Ali S KhanCollege of Public Health, University of Nebraska Medical Center, Omaha, NE, United States.

Funding

Racial disparities in biomarkers, tobacco cessation, and smoking relapse in association with electronic cigarette useR21DA054818 · NIDA · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI DAI, HONGYING DAISY · 2021 to 2022
$435k
NIDA NIH HHS R21 DA054818
6 · The paper itself

Abstract

objectiveProvide evidence on racial and ethnic differences in biomarkers of exposure from rising e-cigarette use among U.S. adults.

methodsData were drawn from Waves 1-5 of the Population Assessment of Tobacco and Health study (September 2013-November 2019). Differences in biomarkers of exposure and potential harm (BOE/BoPH) across non-Hispanic (NH)-Whites, NH Blacks, Hispanic/Latinos, and NH others were examined using generalized estimation equations.

resultsAmong exclusive e-cigarette users, mean concentrations of BOEs/BoPHs were not significantly different across NH Blacks (n=97), NH others (n=122), and NH Whites (n=1062), after adjustment by wave, age, sex, education, exposure to the secondhand smoke, and the number of recent puffs. Compared to NH Whites, Hispanics (n=151) had lower concentrations of nicotine equivalents (0.5[0.2-1.7] vs. 15.5 [12.5-19.1] nmol/mg creatinine, p<.0001), cotinine (33.4[9.7-114.7] vs. 1008.3 [808.3-1257.9] ng/mg creatinine, p<.0001), and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) (2.6[1.5-4.4] vs. 5.7 [4.9-6.6] pg/mg creatinine, p=.004), but similar concentrations of BOEs for heavy metals, polycyclic aromatic hydrocarbons, volatile organic compounds, and oxidative stress. Differences between Hispanics and NH Whites are expected, given different e-cigarette use profiles. Specifically, Hispanics were less likely to be daily vapers (49.4[35.1-63.8]% vs 81.3[77.7-84.5]%, p<.0001) and nicotine e-cigarette users (72.7 [64.0-79.9]% vs. 89.2 [86.4-91.5]%, p=.0002] and reported a lower number of recent puffs (mean[standard error]=16.7[3.6] vs. 28.6[2.0], p=.02] than their NH-White counterparts. Hispanic vapers were also less likely than NH Whites to have previously smoked cigarettes (49.7 [37.2-62.3]% vs. 88.5 [84.7-91.5]%, p<.0001]).

conclusionsHispanic vapers exhibited lower exposure to nicotine metabolites and carcinogens than their non-Hispanic White counterparts. The harm reduction potential from e-cigarette use are likely to be realized across diverse racial and ethnic groups.

Indexed as

Electronic Nicotine Delivery SystemsTobacco ProductsAdultBiomarkersCreatinineHumansNicotineBiomarkersCreatinineNicotineAdultsBiomarkerE-cigarette usePATHRace and ethnicity

Identifiers

PMID37804563
PMCPMC10615775

What OpenQuestion holds

Textmetadata
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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.