Evidence map›Paper›PMID 28789980›Full record

ArticlePreventive medicine2017

Use of higher-nicotine/tar-yield (regular full-flavor) cigarettes is associated with nicotine dependence and smoking during pregnancy among U.S. women.

Stephen T Higgins, Ryan Redner, Christopher A Arger, Allison N Kurti, Jeff S Priest, Janice Y Bunn

Abstract read
In one paragraph

Article in Preventive medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
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

6 authors at 2 institutions in 1 country.

Stephen T HigginsUniversity of Vermont Tobacco Center of Regulatory Science, United States; Departments of Psychiatry, University of Vermont, United States; Psychological Science, University of Vermont, United States. Electronic address: Stephen.Higgins@uvm.edu.
Ryan RednerUniversity of Vermont Tobacco Center of Regulatory Science, United States; Rehabilitation Institute, Southern Illinois University, United States.
Christopher A ArgerUniversity of Vermont Tobacco Center of Regulatory Science, United States; Departments of Psychiatry, University of Vermont, United States.
Allison N KurtiUniversity of Vermont Tobacco Center of Regulatory Science, United States.
Jeff S PriestUniversity of Vermont Tobacco Center of Regulatory Science, United States; Medical Biostatistics, University of Vermont, United States.
Janice Y BunnUniversity of Vermont Tobacco Center of Regulatory Science, United States; Medical Biostatistics, University of Vermont, United States.
University of Vermont · 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
Vermont Center on Tobacco Regulatory ScienceP50DA036114 · NIDA · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI HIGGINS, STEPHEN T · 2013 to 2017
$19.1M
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
NICHD NIH HHS R01 HD075669NIDA NIH HHS P50 DA036114NIGMS NIH HHS P20 GM103644
6 · The paper itself

Abstract

The present study examined full-flavor cigarette use among women of reproductive age to assess whether use is associated with greater nicotine dependence and smoking during pregnancy. We used data from the National Survey on Drug Use and Health (2005-2014). Consecutive years were combined to assure sufficient numbers of pregnant women. We examined whether use of full-flavor cigarettes was associated with greater odds of nicotine dependence using the Fagerstrom Test for Nicotine Dependence and Nicotine Dependence Syndrome Scale (NDSS), controlling for other smoking characteristics. We next compared prevalence of smoking and use of full-flavor versus lower-yield cigarettes among non-pregnant versus pregnant women and across trimesters. Lastly, we examined whether pregnancy was associated with greater odds of using full-flavor cigarettes after controlling for potential confounders. Use of full-flavor cigarettes was associated with greater adjusted odds of nicotine dependence compared to lower yields among non-pregnant (Fagerstrom: 2.50, 95% CI: 2.32,2.70; NDSS: 1.75, 95% CI: 1.62,1.88) and pregnant (Fagerstrom: 1.53, 95% CI: 1.13,2.05; NDSS: 1.53, 95% CI: 1.12,2.10) smokers. As smoking prevalence decreased among pregnant compared to non-pregnant women (14.31±0.55% versus 22.73±0.17%), prevalence of using full-flavor cigarettes increased (54.82±1.63% versus 38.86±0.35%). Similarly, as smoking prevalence decreased from 1st to 3rd trimester (19.65±1.2%, 12.50±0.84%, 11.3±0.83%), prevalence of using full-flavor cigarettes increased (53.12±2.53%, 50.57+2.92%, 63.63±3.19%). Overall, pregnancy was associated with 1.43 (95% CI: 1.22, 1.68) greater adjusted odds of full-flavor cigarette use. These results indicate that users of full-flavor cigarettes have greater nicotine-dependence risk and lower likelihood of quitting smoking during pregnancy, relationships with potential for serious adverse maternal-infant health impacts.

Indexed as

AdolescentAdultCigarette SmokingFemaleHealth SurveysHumansNicotinePregnancyPrevalenceSmokersSmoking CessationTobacco Use DisorderUnited StatesNicotineCigarette smokingFull-flavor cigarettesNational Survey on Drug Use and HealthNicotine yieldPregnancyPrevalenceVulnerable populationsWomen of reproductive age

Identifiers

PMID28789980
PMCPMC5858192
OpenAlexW2742601177

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.