Evidence map›Paper›PMID 27668320›Full record

ArticleThe American journal of drug and alcohol abuse2017

Patterns of youth tobacco and polytobacco usage: The shift to alternative tobacco products.

Paul T Harrell, Syeda Mahrukh Hussnain Naqvi, Andrew D Plunk, Ming Ji, Silvia S Martins

Erratum issuedAbstract read
In one paragraph

Article in The American journal of drug and alcohol abuse, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 49 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 2 pooled it
–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

49 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Hookah Use Among US Youth: A Systematic Review of the Literature From 2009 to 2017.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2019
    Pooled it
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  9. Sex and Sexual Identity Differences in Poly-tobacco Use and Psychological Distress in U.S. Adults: Results From the National Health Interview Survey.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
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  13. Use of Tobacco and Nicotine Products among Young People in Denmark-Status in Single and Dual Use.International journal of environmental research and public health · 2022
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  14. Article
  15. Geographic isolation predicts tobacco product use among youth: A latent class analysis.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Paul T Harrella Department of Pediatrics, Eastern Virginia Medical School , Norfolk , VA , USA.ORCID 0000-0001-6588-7878
Syeda Mahrukh Hussnain Naqvib Department of Statistics/Biostatistics, College of Nursing , University of South Florida , Tampa , FL , USA.
Andrew D Plunka Department of Pediatrics, Eastern Virginia Medical School , Norfolk , VA , USA.
Ming Jib Department of Statistics/Biostatistics, College of Nursing , University of South Florida , Tampa , FL , USA.
Silvia S Martinsc Department of Epidemiology , Columbia University Mailman School of Public Health , New York , NY , USA.

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI John L. Cleveland · 1998 to 2026
$93.5M
Measure Development for Prediction of E-cigarette InitiationR03CA195124 · NCI · EASTERN VIRGINIA MEDICAL SCHOOL · PI HARRELL, PAUL TRUMAN · 2015 to 2016
$166k
NCI NIH HHS P30 CA076292NCI NIH HHS R03 CA195124
6 · The paper itself

Abstract

backgroundDespite significant declines in youth cigarette smoking, overall tobacco usage remains over 20% as non-cigarette tobacco product usage is increasingly common and polytobacco use (using 1+ tobacco product) remains steady.

objectivesThe present study was designed to identify patterns of youth tobacco use and examine associations with sociodemographic characteristics and tobacco dependence.

methodsThe current analysis uses Latent Class Analysis (LCA) to examine the 6,958 tobacco users (n = 2,738 female) in the National Youth Tobacco Survey (2012 and 2013). We used as indicators past month use of tobacco products (cigarettes, cigars, smokeless tobacco, e-cigarettes, hookah, snus, pipes, bidis, and kreteks) and regressed resulting classes on sociodemographic characteristics and tobacco dependence.

resultsNine classes emerged: cigarette smokers (33.4% of sample, also included small probabilities for use of cigars and e-cigarettes), cigar smokers (16.8%, nearly exclusive), smokeless tobacco users (12.3%, also included small probabilities for cigarettes, cigars, snus), hookah smokers (11.8%), tobacco smokers/chewers (10.7%, variety of primarily traditional tobacco products), tobacco/hookah smokers (7.2%), tobacco/snus/e-cig users (3.3%), e-cigarette users (2.9%,), and polytobacco users (1.7%, high probabilities for all products). Compared to cigarette smokers, tobacco/hookah smokers and hookah smokers were more likely to report Hispanic ethnicity. Polytobacco users were more likely to report dependence (AOR:2.77, 95% CI:[1.49-5.18]), whereas e-cigarette users were less likely (AOR:0.49, 95% CI:[0.24-0.97]).

conclusionFindings are consistent with other research demonstrating shifts in adolescent tobacco product usage towards non-cigarette tobacco products. Continuous monitoring of these patterns is needed to help predict if this shift will ultimately result in improved public health.

Indexed as

AdolescentAdolescent BehaviorChildFemaleHumansMaleRisk FactorsSurveys and QuestionnairesTobacco ProductsTobacco UseTobacco Use DisorderUnited StatesYoung Adultaddictionco-substance useelectronic nicotine delivery systemsNon-cigarette tobacco productspriority/special populations

Identifiers

PMID27668320
PMCPMC5440212

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.