Evidence map›Paper›PMID 40495896›Full record

ArticlePreventive medicine reports2025

Sociodemographic and psychosocial characteristics of e-cigarette ever-use: U.S. HINTS 6 Survey.

Lilianna Phan, Kuang-Yi Wen, Hee Jun Kim, Julie A Barta, Hee-Soon Juon

Abstract read
In one paragraph

Article in Preventive medicine reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Lilianna PhanDepartment of Community Health and Prevention, Dornsife School of Public Health and Division of Graduate Nursing, College of Nursing and Health Professions, Drexel University, Philadelphia, PA, United States.
Kuang-Yi WenDepartment of Medical Oncology, Division of Population Science, Thomas Jefferson University, Philadelphia, PA, United States.
Hee Jun KimSchool of Nursing, The George Washington University, Washington, DC, United States.
Julie A BartaThe Jane and Leonard Korman Respiratory Institute, Division of Pulmonary and Critical Care Medicine, Thomas Jefferson University, Philadelphia, PA, United States.
Hee-Soon JuonDepartment of Medical Oncology, Division of Population Science, Thomas Jefferson University, Philadelphia, PA, United States.

Funding

Catalyzing Systemic Change at Drexel University to Support Diverse Faculty in Health Disparities Research - Administrative SupplementU54CA267735 · NCI · DREXEL UNIVERSITY · PI DIEZ ROUX, ANA VICTORIA, GITLIN, LAURA N. · 2021 to 2024
$14.2M
Effective Cigarillo Public Education Messaging for Black Young AdultsR00CA272919 · NCI · DREXEL UNIVERSITY · PI PHAN, LILIANNA · 2023 to 2025
$745k
NCI NIH HHS R00 CA272919NCI NIH HHS U54 CA267735
6 · The paper itself

Abstract

Objective: With high U.S. e-cigarette use prevalence and e-cigarette health risks, we examined associated factors for ongoing public health efforts. Methods: We used national data from the 2022 Health Information National Trends Survey to estimate the overall U.S. prevalence of e-cigarette ever- and current-use and to examine associations by sociodemographics (i.e., age, race/ethnicity, gender, marital status, employment status, education level) and depressive symptoms (i.e., PHQ-4; no, mild, moderate or severe symptoms) using weighted multivariable logistic regressions adjusted for cigarette smoking status ( Results: In 2022, 17.1 % of U.S. adults ever-used e-cigarettes; of which, 4.3 % currently-used e-cigarettes. Weighted multivariable logistic regressions found that age, race/ethnicity, education level, marital status, and experiencing severe depressive symptoms were associated with e-cigarette ever-use: younger age groups (vs. ≥65-years-old), formerly married (vs. married), and those experiencing severe depressive symptoms (vs. no symptoms) were more likely to ever-use e-cigarettes, while Black adults (vs. White) and those with <high school education (vs. ≥college graduate) were less likely to ever-use e-cigarettes. Younger adult age groups (vs. ≥65-years-old) and those with a high school diploma (vs. ≥college graduate) were more likely to currently use e-cigarettes. Conclusion: Our findings suggest that sub-populations may be at varying risks of engaging in e-cigarette ever-use and current-use behaviors. Experiencing severe depressive symptoms was associated with e-cigarette ever-use, but not current-use. Future research is needed to continue to explore the relationship (e.g., bidirectional) between experiencing depressive symptoms and e-cigarette behaviors and the potential role of marital support in helping to prevent e-cigarette uptake.

Indexed as

Electronic cigarettesNicotineTobacco

Identifiers

PMID40495896
PMCPMC12148810

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.