Evidence map›Paper›PMID 29059423›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2018

US Adult Cigar Smoking Patterns, Purchasing Behaviors, and Reasons for Use According to Cigar Type: Findings From the Population Assessment of Tobacco and Health (PATH) Study, 2013-2014.

Catherine G Corey, Enver Holder-Hayes, Anh B Nguyen, Cristine D Delnevo, Brian L Rostron, Maansi Bansal-Travers, Heather L Kimmel, Amber Koblitz, Elizabeth Lambert, Jennifer L Pearson and 6 more

Abstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers.

0numbers the graph read from it
0cells of the map it votes in
95citing 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

95 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Exploring Young Adults' Beliefs About Cigar Smoking by Susceptibility: A Belief Elicitation Study.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Trial
  4. Improving Point-of-Sale Warnings for Single Cigars: Implications for Premium Cigars.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Trial
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Tobacco Product Use and Type by Military Veteran Status: Findings from the National Health Interview Survey, 2021-2023.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. The Public Health Impact of a Ban on Flavored Cigars: A Decision-Theoretic Policy Framework.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. What Is (Un)Flavored? A Scoping Review of the Conceptualization of Flavored Cigarillos.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    Article
  20. Article

35 more citing papers are in PubMed but not listed here.

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

16 authors.

Catherine G CoreyCenter for Tobacco Products, US Food and Drug Administration, Silver Spring, MD.
Enver Holder-HayesCenter for Tobacco Products, US Food and Drug Administration, Silver Spring, MD.
Anh B NguyenCenter for Tobacco Products, US Food and Drug Administration, Silver Spring, MD.
Cristine D DelnevoCenter for Tobacco Studies, School of Public Health, Rutgers University, Piscataway, NJ.
Brian L RostronCenter for Tobacco Products, US Food and Drug Administration, Silver Spring, MD.
Maansi Bansal-TraversDepartment of Health Behavior, Roswell Park Cancer Institute, Buffalo, NY.
Heather L KimmelNational Institute on Drug Abuse, National Institutes of Health, Bethesda, MD.
Amber KoblitzCenter for Tobacco Products, US Food and Drug Administration, Silver Spring, MD.
Elizabeth LambertNational Institute on Drug Abuse, National Institutes of Health, Bethesda, MD.
Jennifer L PearsonSchroeder Institute for Tobacco Research and Policy Studies, Truth Initiative, Washington, DC.
Eva SharmaWestat, Rockville, MD.
Cindy TworekCenter for Tobacco Products, US Food and Drug Administration, Silver Spring, MD.
Andrew J HylandDepartment of Health Behavior, Roswell Park Cancer Institute, Buffalo, NY.
Kevin P ConwayNational Institute on Drug Abuse, National Institutes of Health, Bethesda, MD.
Bridget K AmbroseCenter for Tobacco Products, US Food and Drug Administration, Silver Spring, MD.
Nicolette BorekCenter for Tobacco Products, US Food and Drug Administration, Silver Spring, MD.

Funding

NIDA NIH HHS HHSN271201100027C
6 · The paper itself

Abstract

Introduction: The US cigar market is diverse, yet until recently most research studies and tobacco surveillance systems have not reported behavioral and related outcomes by cigar type. Methods: The 2013-2014 Population Assessment of Tobacco and Health Study collected data separately for filtered cigars (FCs), cigarillos, and traditional cigars, which were further distinguished as premium or nonpremium. Descriptive statistics for adult established current smokers of each cigar type and cigarettes were calculated for demographic characteristics, tobacco use patterns, purchasing behaviors and reasons for use. Adjusted prevalence ratios (APRs) using a marginal predictions approach with logistic regression assessed correlates of dual cigar and cigarette smoking. Results: Age, sex, race/ethnicity, education level, and poverty status of smokers varied according to cigar type. Daily cigar smoking prevalence and number of cigars smoked per day were higher for FCs (37.3%; median: 1.6 cigars/day, respectively), than all other cigar types (6.7%-25.3%, all p < .01; 0.1-0.4 cigars/day, all p < .01, respectively); daily smoking and cigars per day were similar for nonpremium cigars and cigarillos (p = .11; p = .33, respectively). Cigarette smoking was twice as common among smokers of nonpremium cigars, cigarillos, and FCs (58.0%-66.0%) than among premium cigars (29.9%). Among current cigar smokers, FC smokers (APR = 1.23, 95% confidence interval [CI] = 1.09-1.39), other tobacco product users (APR = 1.27, 95% CI = 1.15-1.41), and those with a GED/high school diploma or less (APR = 1.20, 95% CI = 1.09-1.33) were more likely to also smoke cigarettes. Conclusion: User characteristics, cigar smoking patterns, and dual smoking with cigarettes varied by cigar type highlighting the importance of adequately describing the cigar type studied and, where appropriate, differentiating results by cigar type. Implications: Despite the diversity of the cigar market place, historically many research studies and tobacco surveillance systems have treated cigars as a single product type. This study describes similarities and differences in the user characteristics, tobacco use patterns, and purchasing behaviors of premium, nonpremium, cigarillo, and filtered cigar smokers. To enhance tobacco regulatory science, sufficient descriptions of the cigar type(s) studied and, where appropriate, differentiation of the particular cigar type(s) studied should be undertaken to improve the interpretation of study findings, understanding of cigar use patterns and related behaviors and future approaches to reducing cigar-attributable morbidity and mortality.

Indexed as

Population SurveillanceAdolescentAdultCigar SmokingCohort StudiesConsumer BehaviorFemaleHumansLongitudinal StudiesMaleMiddle AgedNational Institute on Drug Abuse (U.S.)SmokersTobacco ProductsUnited StatesUnited States Food and Drug Administration

Identifiers

PMID29059423
PMCPMC6236070

What OpenQuestion holds

Textmetadata
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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.