Evidence map›Paper›PMID 31302841›Full record

ArticlePrevention science : the official journal of the Society for Prevention Research2019

Longitudinal Patterns of Multiple Tobacco and Nicotine Product Use Among Texas College Students: a Latent Transition Analysis.

Stephanie L Clendennen, Alexandra Loukas, MeLisa R Creamer, Keryn E Pasch, Cheryl L Perry

Open access · greenAbstract read
In one paragraph

Article in Prevention science : the official journal of the Society for Prevention Research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 8% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Global Patterns and Prevalence of Dual and Poly-Tobacco Use: A Systematic Review.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021
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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

5 authors at 2 institutions in 1 country.

Stephanie L ClendennenHealth Promotion and Behavioral Sciences, The University of Texas Health Science Center at Houston (UT Health) School of Public Health in Austin, Austin, TX, 78701, USA. Stephanie.L.Clendennen@uth.tmc.edu.ORCID 0000-0002-3890-9733
Alexandra LoukasKinesiology and Health Education, The University of Texas at Austin, Austin, TX, 78712, USA.
MeLisa R CreamerHealth Promotion and Behavioral Sciences, The University of Texas Health Science Center at Houston (UT Health) School of Public Health in Austin, Austin, TX, 78701, USA.
Keryn E PaschKinesiology and Health Education, The University of Texas at Austin, Austin, TX, 78712, USA.
Cheryl L PerryHealth Promotion and Behavioral Sciences, The University of Texas Health Science Center at Houston (UT Health) School of Public Health in Austin, Austin, TX, 78701, USA.
University of Texas Health Science Center at Dallas · USThe University of Texas at Austin · US

Funding

Training & Education Core p335-350P50CA180906 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI PERRY, CHERYL LEE · 2013 to 2017
$19.7M
NCI NIH HHS 1 P50 CA180906NCI NIH HHS P50 CA180906
6 · The paper itself

Abstract

Diverse tobacco and nicotine products have altered the terrain of tobacco use behaviors. Limited research has examined contemporary patterns of use among young adults. This study identified tobacco and nicotine product use groups and examined changes in young adults' use patterns, across a 1.5-year period. Participants were 5,482 18-29-year-old students (M age = 20.5, SD = 2.36; 63% female) from 24 Texas colleges who completed a four-wave bi-annual online survey. Latent transition analysis was used to identify groups from 10 items (ever and current use of cigarettes, cigars, smokeless tobacco, e-cigarettes, and hookah) and to examine probabilities of transitioning between groups over four waves. Five groups were identified: Non-users (30%), Poly-experimenters (26%), Hookah experimenters (18%), E-cigarette & hookah experimenters (15%), and Poly-cigarette users (11%). Few students transitioned between groups over time. Poly-cigarette users had the highest average probability of remaining stable over time (1.00), followed by E-cigarette & hookah experimenters (.97), Non-users (.94), Poly-experimenters (.93), and Hookah experimenters (.92). All groups became more stable over time except Hookah experimenters whose members were most likely to transition to Poly-cigarette users or other experimenter groups. The greatest transition was from Poly-experimenters to Poly-cigarette users with probabilities of .10, .08, and .03 for transitioning between waves one and two, two and three, and three and four, respectively. There was substantial poly-use and experimentation, which may explain little movement between groups over the 1.5-year time period and underscores the need for prevention programs targeting multiple product use among college students.

Indexed as

StudentsAdolescentAdultElectronic Nicotine Delivery SystemsFemaleHumansLatent Class AnalysisMaleSurveys and QuestionnairesTexasTobacco UseUniversitiesYoung AdultElectronic cigarette useLatent transition analysisMultiple tobacco product useTobacco useYoung adults

Identifiers

PMID31302841
PMCPMC10286813
OpenAlexW2958155316

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.