Evidence map›Paper›PMID 32362509›Full record

ArticleAmerican journal of preventive medicine2020

E-Cigarette Use Patterns and High-Risk Behaviors in Pregnancy: Behavioral Risk Factor Surveillance System, 2016-2018.

Olufunmilayo H Obisesan, Albert D Osei, S M Iftekhar Uddin, Omar Dzaye, Miguel Cainzos-Achirica, Mohammadhassan Mirbolouk, Olusola A Orimoloye, Garima Sharma, Mahmoud Al Rifai, Andrew Stokes and 5 more

Open access · greenAbstract read
In one paragraph

Article in American journal of preventive medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 3 pooled it
4.7field-weighted citation impact, top 4% 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

34 citing papers in PubMed, 3 syntheses or guidelines pooled it, 68 citations in OpenAlex.

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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

15 authors at 7 institutions in 3 countries.

Olufunmilayo H ObisesanJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, Maryland; American Heart Association Tobacco Regulation and Addiction Center, Dallas, Texas.
Albert D OseiJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, Maryland; American Heart Association Tobacco Regulation and Addiction Center, Dallas, Texas.
S M Iftekhar UddinJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, Maryland; American Heart Association Tobacco Regulation and Addiction Center, Dallas, Texas.
Omar DzayeJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, Maryland; Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland; Department of Radiology and Neuroradiology, Charité, Berlin, Germany.
Miguel Cainzos-AchiricaJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, Maryland.
Mohammadhassan MirboloukDepartment of Medicine, Yale New Haven Hospital, New Haven, Connecticut.
Olusola A OrimoloyeDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Garima SharmaJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, Maryland.
Mahmoud Al RifaiSection of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, Texas.
Andrew StokesAmerican Heart Association Tobacco Regulation and Addiction Center, Dallas, Texas; Department of Global Health, Boston University, Boston, Massachusetts.
Aruni BhatnagarAmerican Heart Association Tobacco Regulation and Addiction Center, Dallas, Texas; Department of Medicine, University of Louisville, Louisville, Kentucky.
Omar El ShahawyAmerican Heart Association Tobacco Regulation and Addiction Center, Dallas, Texas; Section on Tobacco, Alcohol and Drug Use, Department of Population Health, School of Medicine, New York University, New York, New York; Public Health Research Center, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates.
Emelia J BenjaminAmerican Heart Association Tobacco Regulation and Addiction Center, Dallas, Texas; Department of Medicine, Boston University, Boston, Massachusetts.
Andrew P DeFilippisAmerican Heart Association Tobacco Regulation and Addiction Center, Dallas, Texas; Department of Medicine, University of Louisville, Louisville, Kentucky.
Michael J BlahaJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, Maryland; American Heart Association Tobacco Regulation and Addiction Center, Dallas, Texas. Electronic address: mblaha1@jhmi.edu.
American Heart Association · USJohns Hopkins University · USBoston University · USBaylor College of Medicine · USNew York University Abu Dhabi · AEVanderbilt University Medical Center · USYale New Haven Hospital · US

Funding

Research Training and Education Core (Core D) P50HL120163 · NHLBI · AMERICAN HEART ASSOCIATION · PI BHATNAGAR, ARUNI, ROBERTSON, ROSE MARIE · 2013 to 2017
$20.1M
ConProject-006U54HL120163 · NHLBI · AMERICAN HEART ASSOCIATION · PI BHATNAGAR, ARUNI, ROBERTSON, ROSE MARIE · 2018 to 2022
$18.8M
Novel Methods for Evaluating the Association of Electronic Cigarette Use with Cardiovascular HealthK01HL154130 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI STOKES, ANDREW · 2020 to 2024
$904k
NHLBI NIH HHS K01 HL154130NHLBI NIH HHS P50 HL120163NHLBI NIH HHS U54 HL120163
6 · The paper itself

Abstract

introductionThe prevalence of e-cigarette use has increased dramatically in the last decade in the U.S. Understanding the prevalence, patterns of use, and risk factor associations of e-cigarette use in pregnant women is particularly important, as this could have potential health implications for the mother and the developing child.

methodsUsing Behavioral Risk Factor Surveillance System Survey data from 2016 to 2018, adult women of reproductive age (18-49 years) who reported being pregnant (n=7,434) were studied. Self-reported current e-cigarette use was the main exposure. Other measures included combustible cigarette smoking status and high-risk behaviors (including other tobacco, marijuana, or heavy alcohol use; binge drinking; and others). All analyses were done in 2019.

resultsApproximately 2.2% of pregnant women reported current e-cigarette use, of whom 0.6% reported daily use. The highest prevalence of e-cigarette use was observed in the youngest age group of pregnant women (3.2%), with 41.7% of all pregnant current e-cigarette users being aged 18-24 years. There was a marked increase in the prevalence of current use of e-cigarettes among pregnant women from 1.9% in 2016 to 3.8% in 2018. Approximately 46% of pregnant current e-cigarette users reported concomitant cigarette smoking. Compared with pregnant never e-cigarette users, pregnant current e-cigarette users had a higher prevalence of other tobacco product use, marijuana use, heavy alcohol intake, binge drinking, and other high-risk behaviors.

conclusionsThese findings underscore the need to strengthen prevention and policy efforts, specifically in the vulnerable subgroup of pregnant women.

Indexed as

Electronic Nicotine Delivery SystemsPregnant PeopleVapingAdolescentAdultBehavioral Risk Factor Surveillance SystemCross-Sectional StudiesFemaleHumansMiddle AgedPregnancyPrevalenceRisk-TakingYoung Adult

Identifiers

PMID32362509
PMCPMC8349302
OpenAlexW3021979536

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.