Evidence map›Paper›PMID 31855658›Full record

ArticleDrug and alcohol dependence2020

Impact of electronic nicotine delivery systems and other respondent characteristics on tobacco use transitions among a U.S. national sample of women of reproductive age.

Allison N Kurti, Janice Y Bunn, Katherine Tang, Tyler Nighbor, Diann E Gaalema, Victoria Coleman-Cowger, Sulamunn R M Coleman, Stephen T Higgins

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% 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, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Vaping in Pregnancy: A Systematic Review.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021
    Pooled it
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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

8 authors at 3 institutions in 1 country.

Allison N KurtiVermont Center on Behavior and Health, University of Vermont, Burlington, VT, USA; Department of Psychiatry, University of Vermont, Burlington, VT, USA; Department of Psychological Science, University of Vermont, Burlington, VT, USA. Electronic address: akurti@uvm.edu.
Janice Y BunnDepartment of Medical Biostatistics, University of Vermont, Burlington, VT, USA.
Katherine TangVermont Center on Behavior and Health, University of Vermont, Burlington, VT, USA; Department of Psychiatry, University of Vermont, Burlington, VT, USA.
Tyler NighborVermont Center on Behavior and Health, University of Vermont, Burlington, VT, USA; Department of Psychiatry, University of Vermont, Burlington, VT, USA.
Diann E GaalemaVermont Center on Behavior and Health, University of Vermont, Burlington, VT, USA; Department of Psychiatry, University of Vermont, Burlington, VT, USA; Department of Psychological Science, University of Vermont, Burlington, VT, USA.
Victoria Coleman-CowgerThe Emmes Corporation, Rockville, MD, USA.
Sulamunn R M ColemanVermont Center on Behavior and Health, University of Vermont, Burlington, VT, USA; Department of Psychiatry, University of Vermont, Burlington, VT, USA.
Stephen T HigginsVermont Center on Behavior and Health, University of Vermont, Burlington, VT, USA; Department of Psychiatry, University of Vermont, Burlington, VT, USA; Department of Psychological Science, University of Vermont, Burlington, VT, USA.
University of Vermont · USEmmes (United States) · USUniversity of Vermont Medical Center · US

Funding

Vermont Center on Behavior and HealthP20GM103644 · NIGMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI HIGGINS, STEPHEN T · 2013 to 2022
$21.3M
University of Vermont Tobacco Center of Regulatory ScienceU54DA036114 · NIDA · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI HIGGINS, STEPHEN T · 2018 to 2022
$19.4M
Vermont Center on Tobacco Regulatory ScienceP50DA036114 · NIDA · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI HIGGINS, STEPHEN T · 2013 to 2017
$19.1M
TRAINING IN BEHAV. PHARMACOLOGY OF HUMAN DRUG DEPENDENCET32DA007242 · NIDA · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI HEIL, SARAH H, HIGGINS, STEPHEN T · 1990 to 2025
$8.2M
Voucher-based incentives to treat pregnant smokersR01DA014028 · NIDA · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI HIGGINS, STEPHEN T · 2001 to 2010
$6.0M
Financial Incentives for Smoking Cessation Among Disadvantaged Pregnant WomenR01HD075669 · NICHD · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI HIGGINS, STEPHEN T · 2013 to 2017
$3.6M
Behavioral Economic Approach to Reducing Maternal Smoking in Disadvantaged WomenR01HD078332 · NICHD · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI HIGGINS, STEPHEN T · 2015 to 2019
$2.9M
NICHD NIH HHS R01 HD075669NICHD NIH HHS R01 HD078332NIDA NIH HHS P50 DA036114NIDA NIH HHS R01 DA014028NIDA NIH HHS T32 DA007242NIDA NIH HHS U54 DA036114NIGMS NIH HHS P20 GM103644
6 · The paper itself

Abstract

backgroundIdentifying predictors of tobacco use patterns that differ in harm among reproductive-aged women may inform efforts to protect women and children against adverse health impacts of tobacco use.

methodsChanges in tobacco use patterns were examined among women (18-49 years) who completed Wave 1 (W1) and Wave 2 (W2), or W2 and Wave 3 (W3) of the U.S. Population Assessment of Tobacco and Health (PATH, 2013-2016) study, and were using cigarettes, filtered cigars and/or cigarillos in the first wave over which data were included for that respondent (Time 1; T1). We examined the proportion of respondents whose tobacco use transitions from T1 to Time 2 (T2) were harm-maintaining (continued using combusted tobacco), harm-reducing (transitioned to electronic nicotine delivery systems (ENDS), or harm-eliminating (quit tobacco). Multinomial logistic regressions (with harm-maintaining as the baseline category) were conducted to examine associations between ENDS use, demographic, and psychosocial characteristics with each transition.

resultsA majority of women (83 %) exhibited harm-maintaining transitions, followed by harm-eliminating (14.7 %) and harm-reducing (2.3 %) transitions. Use of ENDS at T1 was associated with increased odds of harm reduction and decreased odds of harm elimination. Younger women were more likely to make both harm-reducing and harm-eliminating transitions. Increased educational attainment, identifying as Black or Hispanic, increased psychiatric symptoms, and pregnancy were associated with harm elimination, whereas living at or above poverty was associated with harm reduction.

conclusionsStudy results contribute new information on the impact of ENDS, sociodemographic characteristics, psychiatric symptoms, and pregnancy on tobacco use transitions among reproductive-aged women.

Indexed as

AdolescentAdultElectronic Nicotine Delivery SystemsFemaleHarm ReductionHumansMiddle AgedRisk FactorsSmoking CessationSurveys and QuestionnairesTobacco UseUnited StatesYoung AdultDual useENDSNational sampleNicotinePoly usePopulation Assessment of Tobacco and HealthPregnancyTobaccoWomen of reproductive age

Identifiers

PMID31855658
PMCPMC6981035
OpenAlexW2996545122

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.