Evidence map›Paper›PMID 36401561›Full record

ArticleAddiction (Abingdon, England)2023

Longitudinal transitions in adolescent polytobacco use across waves 1-4 of the Population Assessment of Tobacco and Health study.

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

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Melissa D BlankDepartment of Psychology, West Virginia University, Morgantown, WV, USA.ORCID 0000-0001-5965-7224
Katelyn F RommDepartment of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA.
Margaret G ChildersDepartment of Psychology, West Virginia University, Morgantown, WV, USA.
Ashley E DouglasDepartment of Psychology, West Virginia University, Morgantown, WV, USA.
Geri DinoWest Virginia Prevention Research Center, Department of Social and Behavioral Sciences, School of Public Health, West Virginia University, Morgantown, WV, USA.
Bethany C BrayInstitute for Health Research and Policy, The University of Illinois at Chicago, Chicago, IL, USA.

Funding

Tissue Pathology Shared ResourceP30CA225520 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI ROBERT S. MANNEL · 2018 to 2026
$27.1M
Testing a Digital Therapeutic for Smoking Cessation among Hispanic Persons who SmokeU54MD015946 · NIMHD · UNIVERSITY OF HOUSTON · PI Stacey Lynn Gorniak · 2020 to 2026
$22.0M
Research Training Program in Behavioral and Biomedical SciencesT32GM132494 · NIGMS · WEST VIRGINIA UNIVERSITY · PI Anne Courtney DeVries, Kevin T Larkin · 2019 to 2026
$2.8M
Helping Everyone Achieve a LifeTime of Health - Future Addiction Scientist TrainingR25DA054015 · NIDA · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI OBASI, EZEMENARI M., REITZEL, LORRAINE R · 2021 to 2025
$1.0M
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
NCI NIH HHS P30 CA225520NIDA NIH HHS L60 DA056995NIDA NIH HHS R21 DA051628NIDA NIH HHS R25 DA054015NIGMS NIH HHS T32 GM132494NIMHD NIH HHS U54 MD015946
6 · The paper itself

Abstract

aimsThis study aims to identify adolescent patterns of polytobacco use and measure transitions between patterns over time.

designLongitudinal analysis using data derived from waves 1-4 (2013-18) of the Population Assessment of Tobacco and Health (PATH) study. Transitions in tobacco use patterns were examined via latent transition analysis, and then, socio-demographic characteristics were used to predict transitions via logistic regression.

settingUnited States.

participantsParticipants included 975 adolescents who used at least one tobacco product at any wave (W1 mean age = 13.29, standard deviation = 0.86; W4 54.2% male; 54.5% white, 25.9% Hispanic). MEASUREMENTS: Measurements included past 30-day use of cigarettes, electronic cigarettes (e-cigs), traditional cigars, cigarillos, filtered cigars, snus, smokeless tobacco (SLT) or hookah.

findingsSix latent classes were identified. Cigarette users (43.5-58.8%) and SLT users (50.8-79.6%) tended to persist in their use over time. E-cig users began to probably transition to non-users (80.0%), but became more likely to persist in this use over time (31.1%). Non-users at a given wave were most likely to transition to e-cig users (8.5-43.7%) or cigarette users (6.7-28.6%). Cigarillo/poly-users and hookah/poly-users displayed more variable transition patterns. Adolescents were more likely to transition to non-use (versus become/remain e-cig users) if they were older (cigarette users, SLT users), younger (e-cig users), other race (SLT users), male (SLT users) or had less-educated parents (SLT users) compared with their counterparts. Hispanic (versus white) cigarette users were more likely to transition to non-users than to persist in this use.

conclusionsAmong adolescents in the United States, patterns of tobacco use characterized by the use, mainly, of single, specific products appear to be stable, particularly by late adolescence. In contrast, patterns characterized by polytobacco use appear to be more variable and may represent experimentation without specialization.

Indexed as

Electronic Nicotine Delivery SystemsTobacco ProductsTobacco, SmokelessAdolescentFemaleHumansMaleTobacco UseUnited StatesCigarettescigarillose-cigslongitudinalpolytobacco usesmokeless tobaccotransitionsyouth

Identifiers

PMID36401561
PMCPMC9992106

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.