Evidence map›Paper›PMID 38091042›Full record

ArticleJAMA network open2023

Use of E-Cigarettes and Cigarettes During Late Pregnancy Among Adolescents.

Xiaozhong Wen, Lufeiya Liu, Aye A Moe, Isabelle K Ormond, Chelsea C Shuren, I'Yanna N Scott, Jenny E Ozga, Cassandra A Stanton, Andrea L Ruybal, Joy L Hart and 3 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Birth outcomes following intrauterine exposure to electronic nicotine delivery systems: a systematic review and meta-analysis.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    Pooled it
  2. Pooled it
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  4. Review
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  6. Striking Surge in Lung Cancer Incidence in Children of Early Life.Journal of respiratory biology and translational medicine · 2026
    Article
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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

13 authors at 7 institutions in 1 country.

Xiaozhong WenDivision of Behavioral Medicine, Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo.
Lufeiya LiuDivision of Behavioral Medicine, Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo.
Aye A MoeDivision of Behavioral Medicine, Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo.
Isabelle K OrmondRochester Institute of Technology, Rochester, New York.
Chelsea C ShurenDivision of Behavioral Medicine, Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo.
I'Yanna N ScottDivision of Behavioral Medicine, Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo.
Jenny E OzgaBehavioral Health and Health Policy, Westat, Rockville, Maryland.
Cassandra A StantonBehavioral Health and Health Policy, Westat, Rockville, Maryland.
Andrea L RuybalCenter for Tobacco Products, Food and Drug Administration, Silver Spring, Maryland.
Joy L HartDepartment of Communication, College of Arts and Sciences, University of Louisville, Louisville, Kentucky.
Maciej L GoniewiczDepartment of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, New York.
Dara LeeCenter for Tobacco Products, Food and Drug Administration, Silver Spring, Maryland.
Comreen VargeesNew York Medical College, Valhalla.
University at Buffalo, State University of New York · USWestat (United States) · USNew York Medical College · USRochester Institute of Technology · USRoswell Park Comprehensive Cancer Center · USUniversity of Louisville · USUniversity of Michigan–Ann Arbor · US

Funding

Leadership and Logistics CoreU54DA046060 · NIDA · WESTAT, INC. · PI Robin J. Mermelstein, CASSANDRA A STANTON · 2018 to 2026
$28.1M
ConProject-006U54HL120163 · NHLBI · AMERICAN HEART ASSOCIATION · PI BHATNAGAR, ARUNI, ROBERTSON, ROSE MARIE · 2018 to 2022
$18.8M
Determinants and health effects of dynamic changes in e-cigarette use before, during, and after pregnancyR21DA053638 · NIDA · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI WEN, XIAOZHONG · 2022 to 2023
$470k
NHLBI NIH HHS U54 HL120163NIDA NIH HHS R21 DA053638NIDA NIH HHS U54 DA046060
6 · The paper itself

Abstract

Importance: Pregnant adolescents sometimes use cigarettes; however, little is known about e-cigarette use among pregnant adolescents, a population with increased health vulnerability. Objective: To examine yearly trends, sociodemographic and pregnancy-related determinants, and the association with small-for-gestational-age (SGA) birth of e-cigarette and/or cigarette use during late pregnancy among adolescents. Design, Setting, and Participants: This cohort study used existing data from the 2016-2021 Pregnancy Risk Assessment Monitoring System on 10 428 US adolescents aged 10 to 19 years who had a singleton birth with complete data on e-cigarette or cigarette use and SGA birth. Exposure: Adolescents reported e-cigarette and cigarette use during the last 3 months of pregnancy. Main Outcomes and Measures: SGA birth (birth weight below the 10th percentile for the same sex and gestational duration) was determined from birth certificates. Multivariable logistic regression was used to compare the odds of SGA birth across pregnant adolescents who exclusively used e-cigarettes, exclusively used cigarettes, used e-cigarettes and cigarettes, or did not use either. Results: Of the 10 428 pregnant adolescents, 72.7% were aged 18 or 19 years; 58.9% self-identified as White and 23.3% as Black; and 69.8% were non-Hispanic. The weighted prevalence of exclusive e-cigarette use during late pregnancy increased from 0.8% in 2016 to 4.1% in 2021, while the prevalence of exclusive cigarette use decreased from 9.2% in 2017 to 3.2% in 2021. The prevalence of dual use fluctuated, ranging from 0.6% to 1.6%. White pregnant adolescents were more likely than those who self-identified as another race and ethnicity to use e-cigarettes (2.7% vs 1.0% for American Indian or Alaska Native adolescents, 0.8% for Asian or other race adolescents, 0.6% for Black adolescents, and 0.7% for multiracial adolescents). Compared with those who did not use either product, adolescents who exclusively used e-cigarettes (16.8% vs 12.9%; confounder-adjusted odds ratio [AOR], 1.68 [95% CI, 0.89-3.18]) or who used cigarettes and e-cigarettes (17.6% vs 12.9%; AOR, 1.68 [95% CI, 0.79-3.53]) had no statistically significant difference in risk of SGA birth. However, adolescents who exclusively used cigarettes had a more than 2-fold higher risk of SGA birth (24.6% vs 12.9%; AOR, 2.51 [95% CI, 1.79-3.52]). Conclusions and Relevance: This cohort study suggests that pregnant adolescents increasingly used e-cigarettes, with the highest use among White adolescents. Results from this analysis found that, unlike cigarette use, e-cigarette use during late pregnancy was not statistically significantly associated with an increased risk of SGA birth among adolescents. Due to the uncertainty of this nonsignificant association, future research could benefit from a larger sample size.

Indexed as

Electronic Nicotine Delivery SystemsTobacco ProductsAdolescentBirth WeightCohort StudiesFemaleFetal Growth RetardationHumansInfant, NewbornInfant, Small for Gestational AgePregnancy

Identifiers

PMID38091042
PMCPMC10719752
OpenAlexW4389686685

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.