Evidence map›Paper›PMID 35033957›Full record

ArticleDrug and alcohol dependence2022

Transitions in tobacco use profiles among adolescents: Results from the Population Assessment of Tobacco and Health (PATH) study waves 3 and 4.

Katelyn F Romm, Margaret G Childers, Ashley E Douglas, Bethany C Bray, Geri Dino, Melissa D Blank

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. A Systematic Review of Predictors of Vaping Cessation Among Young People.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Socioecological Predictors of Change in Adolescent Tobacco Use Across Waves 1-4 of the Population Assessment of Tobacco and Health Study.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2023
    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.

Katelyn F RommGeorge Washington University, Washington, DC 20052, USA. Electronic address: kromm@gwu.edu.
Margaret G ChildersDepartment of Psychology, West Virginia University, Morgantown, WV 26506, USA. Electronic address: mgc0002@mix.wvu.edu.
Ashley E DouglasDepartment of Psychology, West Virginia University, Morgantown, WV 26506, USA. Electronic address: aed0034@mix.wvu.edu.
Bethany C BrayInstitute for Health Research and Policy, University of Illinois at Chicago, Chicago, IL 60608, USA. Electronic address: bcbray@uic.edu.
Geri DinoWest Virginia Prevention Research Center, Department of Social and Behavioral Sciences, School of Public Health, West Virginia University, Morgantown, WV 26506, USA. Electronic address: gdino@hsc.wvu.edu.
Melissa D BlankDepartment of Psychology, West Virginia University, Morgantown, WV 26506, USA; West Virginia Prevention Research Center, Department of Social and Behavioral Sciences, School of Public Health, West Virginia University, Morgantown, WV 26506, USA. Electronic address: mdblank@mail.wvu.edu.

Funding

Predicting longitudinal patterns of change in adolescent polytobacco use: A socio-ecological frameworkR21DA051628 · NIDA · WEST VIRGINIA UNIVERSITY · PI BLANK, MELISSA D · 2020 to 2021
$433k
NIDA NIH HHS R21 DA051628
6 · The paper itself

Abstract

introductionDespite increases in adolescents' polytobacco use, little work has utilized recent national data to examine transitions in polytobacco use over time or predictors of such transitions.

methodsData derived from the Population Assessment of Tobacco and Health (PATH) study. Participants used at least one tobacco product (cigarettes, electronic cigarettes [ECIGs], traditional cigars, cigarillos, filtered cigars, snus, smokeless tobacco [SLT], hookah) at Wave 3 (W3; 2015-2016) or 4 (W4; 2016-2018) and had Wave 1 (W1) data (N = 1072; M

resultsFive latent classes were identified: Low Users (n = 372, 34.7% W3; n = 249, 23.3% W4), ECIG Users (n = 256, 23.8% W3; n = 286, 26.7% W4), Cigarette Users (n = 215, 20.1% W3; n = 293, 27.3% W4), SLT Users (n = 91, 8.5% W3; n = 92, 8.6% W4), and Polytobacco Users (n = 138, 12.9% W3; n = 152, 14.1% W4). Cigarette Users and SLT Users displayed the highest probabilities for class stability. Low Users were most likely to transition to ECIG Users or Cigarette Users, whereas Polytobacco Users were most likely to transition to Low Users. ECIG Users were likely to transition to Low Users or Cigarette Users. Older and White adolescents were more likely to display riskier transitions.

conclusionsAlthough Cigarette Users and SLT Users remained largely stable in membership, findings demonstrate greater movement across polytobacco use classes relative to previous research and suggest that ECIGs may be the most common entry point to tobacco use.

Indexed as

Electronic Nicotine Delivery SystemsTobacco ProductsTobacco, SmokelessAdolescentFemaleHumansMaleTobacco UseUnited StatesAdolescenceLatent transition analysisPolytobacco useRisk factors

Identifiers

PMID35033957
PMCPMC8885853

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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.