Evidence map›Paper›PMID 36923154›Full record

ArticleTobacco use insights2023

Longitudinal Transition Patterns of Tobacco Use Among Youth and Young Adults Never Tobacco Product Users: Findings From the Population Assessment of Tobacco and Health Study, 2014-2019.

Meagan A Bluestein, Arnold E Kuk, Melissa B Harrell, Baojiang Chen, Emily T Hébert, Adriana Pérez

Abstract read
In one paragraph

Article in Tobacco use insights, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Meagan A BluesteinMichael & Susan Dell Center for Healthy Living, the University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX, USA.ORCID https://orcid.org/0000-0002-7320-7366
Arnold E KukMichael & Susan Dell Center for Healthy Living, the University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX, USA.ORCID https://orcid.org/0000-0001-6998-3808
Melissa B HarrellMichael & Susan Dell Center for Healthy Living, the University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX, USA.ORCID https://orcid.org/0000-0003-3285-0870
Baojiang ChenMichael & Susan Dell Center for Healthy Living, the University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX, USA.ORCID https://orcid.org/0000-0002-9683-9390
Emily T HébertMichael & Susan Dell Center for Healthy Living, the University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX, USA.ORCID https://orcid.org/0000-0001-5922-164X
Adriana PérezMichael & Susan Dell Center for Healthy Living, the University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX, USA.ORCID https://orcid.org/0000-0002-6859-9916

Funding

Age of Initiation of Tobacco Products among USA Youth and Young Adults: Administrative SupplementR01CA234205 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI PEREZ, ADRIANA · 2019 to 2021
$1.7M
NCI NIH HHS R01 CA234205
6 · The paper itself

Abstract

Aims: To identify, visualize, and describe the prevalence of within-product patterns of tobacco use behaviors for e-cigarettes, cigarettes, and hookah (TP) by 3 age groups (ie, 12-14-year-old, 15-17-year-old, and 18-20-year-old) with U.S. nationally representative data. Methods: In 2014-2015, never users of each (TP) and age group were followed-up longitudinally between 2015-2019 using five transition states: non-susceptible to (TP) use, susceptible to (TP) use, ever (TP) use, past 30-day (TP) use, and discontinued past 30-day (TP) use. Sankey diagrams were used to graphically visualize patterns in tobacco use behaviors across time. Results: Among 12-14-year-old who were never users and susceptible to each TP from 2014-2017, 7% initiated ever e-cigarette use and 9.4% first reported past 30-day use by 2018-2019; 5.8% initiated ever cigarette use and 3% first reported past 30-day cigarette use by 2018-2019; and, 4.5% initiated ever hookah use and 1.0% first reported past 30-day hookah use by 2018-2019. Among 15-17-year-old who were never users and susceptible to each TP from 2014-2017, 4.2% initiated ever e-cigarette use and 9.0% first reported past 30-day use by 2018-2019; 4.5% initiated ever cigarette use and 3% first reported past 30-day cigarette use by 2018-2019; and, 4.5% initiated ever hookah use and 2.4% first reported past 30-day hookah use by 2018-2019. Among 18-20-year-old who were never users and susceptible to each TP from 2014-2017, 3.2% initiated ever e-cigarette use and 3.6% first reported past 30-day e-cigarette use by 2018-2019; 3.0% initiated ever cigarette use and 2.3% first reported past 30-day cigarette use; and, 2.8% initiated ever hookah use and 1.0% first reported past 30-day hookah use by 2018-2019. Conclusions: From 2014 to 2019, onset and progression of e-cigarette, cigarette, and hookah use occurred more frequently in 12-14 and 15-17-year-old than in young adults 18-20-year-old.

Indexed as

cigarettese-cigaretteshookahlongitudinalpatternsSankey diagramstobacco product usetransitionsvisualizations

Identifiers

PMID36923154
PMCPMC10009036

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.