Evidence map›Paper›PMID 29986109›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2019

Socioeconomic and Racial/Ethnic Differences in E-Cigarette Uptake Among Cigarette Smokers: Longitudinal Analysis of the Population Assessment of Tobacco and Health (PATH) Study.

Alyssa F Harlow, Andrew Stokes, Daniel R Brooks

Abstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing 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

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

  1. Pooled it
  2. A systematic review and meta-analysis of e-cigarette use among cancer survivors.Journal of cancer survivorship : research and practice · 2024
    Pooled it
  3. Using Pod Based e-Cigarettes and Nicotine Pouches to Reduce Harm for Adults With Low Socioeconomic Status Who Smoke: A Pilot Randomized Controlled Trial.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
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  14. Intentions to Use FDA-Authorized E-Cigarettes Among Adults Who Smoke Cigarettes in the United States.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
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  16. Retail Availability of Oral Nicotine Pouches in Three US Cities: A Geographic Analysis.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
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32 more citing papers are in PubMed but not listed here.

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

3 authors.

Alyssa F HarlowBoston University School of Public Health, Department of Epidemiology. Boston, MA.
Andrew StokesBoston University School of Public Health, Department of Global Health. Boston, MA.
Daniel R BrooksBoston University School of Public Health, Department of Epidemiology. Boston, MA.

Funding

Research Training and Education Core (Core D) P50HL120163 · NHLBI · AMERICAN HEART ASSOCIATION · PI BHATNAGAR, ARUNI, ROBERTSON, ROSE MARIE · 2013 to 2017
$20.1M
NHLBI NIH HHS P50 HL120163
6 · The paper itself

Abstract

introductionSociodemographic differences in electronic cigarette use among cigarette smokers have not been previously characterized in the US adult population.

methodsWe analyzed longitudinal data from Waves 1 and 2 of the nationally representative Population Assessment of Tobacco and Health (PATH) study. Differences by income (based on federal poverty level (FPL)) and race/ethnicity in e-cigarette uptake at Wave 2 among cigarette smokers who were e-cigarette nonusers at Wave 1 were assessed using binomial and multinomial logistic regression. We differentiated e-cigarette users who quit cigarettes (exclusive users) from those who did not quit cigarettes (dual users). E-cigarette-related attitudes/beliefs were evaluated to understand potential contributions to sociodemographic differences in e-cigarette uptake and use patterns.

resultsAmong 6592 smokers who were e-cigarette nonusers at Wave 1, 13.5% began using e-cigarettes at Wave 2, of whom 91.3% were dual users. Compared with non-Hispanic Whites, non-Hispanic Black, and Hispanics were less likely to become exclusive e-cigarette users (OR [Blacks] = 0.27, 95% CI = 0.09 to 0.77; OR [Hispanics] = 0.26, 95% CI = 0.09 to 0.70). Low-income smokers were less likely than higher-income smokers to become exclusive e-cigarette users (OR [<100% FPL vs. ≥200% FPL] = 0.48, 95% CI = 0.27 to 0.89). Black, Hispanic, and low-income smokers were more likely to believe e-cigarettes are more harmful than cigarettes and to have positive tobacco-related social norms.

conclusionsBlack, Hispanic, and low-income smokers were less likely than White and higher-income smokers to begin using e-cigarettes in the context of quitting cigarettes. Differences in e-cigarette uptake may be partly explained by perceived harm or social norms of e-cigarettes. IMPLICATIONS: Results of this study show that the exclusive use of e-cigarettes is more prevalent in higher-income and White smokers. Our data suggest that higher-income and White smokers may be more likely to use e-cigarettes as a means to quit combustible cigarettes compared with low-income and racial/ethnic minority smokers. These findings suggest that sociodemographic differences in e-cigarette uptake and use patterns may contribute to widening disparities in cigarette smoking.

Indexed as

AdultHumansLongitudinal StudiesRacial GroupsSmokersSocioeconomic FactorsUnited StatesVaping

Identifiers

PMID29986109
PMCPMC6751515

What OpenQuestion holds

Textmetadata
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.