Evidence map›Paper›PMID 31758190›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2020

Using Latent Class Analysis to Examine Susceptibility to Various Tobacco Products Among Adolescents.

Krysten W Bold, Eugenia Buta, Patricia Simon, Grace Kong, Meghan Morean, Deepa Camenga, Suchitra Krishnan-Sarin

Abstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

7 authors.

Krysten W BoldDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT.
Eugenia ButaDepartment of Biostatistics, Yale School of Public Health, New Haven, CT.
Patricia SimonDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT.
Grace KongDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT.
Meghan MoreanDepartment of Psychology, Oberlin College, Oberlin, OH.
Deepa CamengaDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, CT.
Suchitra Krishnan-SarinDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Yale Center for the Study of Tobacco Product Use and Addiction (YCSTP) Project 2: Addictive Threshold of Nicotine and the Impact of SweetenersU54DA036151 · NIDA · YALE UNIVERSITY · PI SUCHITRA KRISHNAN-SARIN · 2018 to 2026
$41.6M
Yale Tobacco Center of Regulatory ScienceP50DA036151 · NIDA · YALE UNIVERSITY · PI KRISHNAN-SARIN, SUCHITRA, O'MALLEY, STEPHANIE S · 2013 to 2017
$20.6M
SUBSTANCE ABUSEK12DA000167 · NIDA · YALE UNIVERSITY · PI STEPHANIE S O'MALLEY, Marc N Potenza · 1991 to 2026
$17.7M
NCATS NIH HHS UL1 TR001863NIDA NIH HHS K12 DA000167NIDA NIH HHS P50 DA036151NIDA NIH HHS U54 DA036151
6 · The paper itself

Abstract

introductionMost tobacco use is initiated during adolescence and susceptibility is an important predictor of initiation. Research is needed to understand susceptibility across tobacco products among youth to inform prevention efforts. AIMS AND

methodsWe surveyed 2945 students from four Southeastern Connecticut high schools in 2017. We assessed susceptibility to future use of seven different tobacco products (ie, cigarettes, e-cigarettes, hookah, cigars, cigarillos, blunts, and smokeless tobacco) among youth who had never used a tobacco product. Susceptibility was coded as any response other than "definitely not" to three items assessing (1) curiosity, (2) willingness to experiment with the product in the future, and (3) willingness to try if offered by a friend. Latent class analysis was used to identify patterns of susceptibility across multiple tobacco products and sociodemographic predictors of these classes.

resultsAmong n = 1246 youth who had never tried a tobacco product, 51.2% (n = 638) were susceptible to at least one product and 29.1% (n = 363) were susceptible to two or more products (average among susceptible youth: M = 2.4 products, SD = 1.7, range 1-7). Latent class analysis identified three classes: youth who were: (1) susceptible to all products (5.6%), (2) susceptible to e-cigarettes, hookah, and blunts (23.6%), and (3) mostly non-susceptible to all products (70.8%). In a multivariable model, demographic variables and peer tobacco use predicted class membership.

conclusionsWe observed high rates of susceptibility to non-traditional tobacco products among youth, and many youth were susceptible to more than one product. Targeting susceptibility across multiple tobacco products may be important for reducing youth tobacco use. IMPLICATIONS: Patterns of polytobacco use susceptibility were identified among youth who had never previously used tobacco products. Many youth were susceptible to more than one product and we observed three distinct classes of susceptibility among youth: those who were mostly non-susceptible, those who were susceptible to alternative or non-traditional tobacco products (e-cigarettes, hookah, and blunts), and those who were susceptible to all tobacco products. These findings suggest the importance of addressing susceptibility across multiple tobacco products.

Indexed as

Latent Class AnalysisAdolescentAdolescent BehaviorAdultConnecticutDisease SusceptibilityElectronic Nicotine Delivery SystemsFemaleHumansMaleStudentsSurveys and QuestionnairesTobacco ProductsTobacco SmokingYoung Adult

Identifiers

PMID31758190
PMCPMC7593365

What OpenQuestion holds

Textmetadata
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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.