Evidence map›Paper›PMID 35716810›Full record

ArticlePreventive medicine2022

Internalizing and externalizing problems on the age of e-cigarette initiation in youth: Findings from the Population Assessment of Tobacco and Health (PATH), 2013-2017.

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

Open access · greenAbstract read
In one paragraph

Article in Preventive medicine, 2022. 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
0.7field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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 1 institution in 1 country.

Adriana PérezDepartment of Biostatistics and Data Science, the University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX, United States; Michael & Susan Dell Center for Healthy Living, the University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX, United States. Electronic address: adriana.perez@uth.tmc.edu.
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, United States.
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, United States.
Baojiang ChenDepartment of Biostatistics and Data Science, the University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX, United States; Michael & Susan Dell Center for Healthy Living, the University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX, United States.
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, United States; Department of Epidemiology, Human Genetics and Environmental Sciences, the University of Texas Health Science Center at Houston (UTHealth), School of Public Health in Austin Campus, Austin, TX, United States.
University of Texas Health Science Center at Dallas · US

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

Previous research has established an association between internalizing and externalizing problems with e-cigarette use in youth. Secondary analysis of Population Assessment of Tobacco and Health youth waves 1-4(2013-2017). Age of initiation of ever e-cigarette use and age of first report of past 30-day e-cigarette use were prospectively estimated among never e-cigarette users(waves 1-3). Weighted interval-censoring multivariable Cox proportional hazard models were fit to assess differences in each e-cigarette outcome among youth with internalizing and externalizing problems, as well as the interaction between internalizing and externalizing problems, while adjusting for covariates. Weighted interval-censoring survival analyses estimated the age of initiation of ever and age of first report of past 30-day e-cigarette use stratified by internalizing and externalizing problems. Among youth never e-cigarette users, those with high internalizing problems and high externalizing problems had increased risk of initiating ever e-cigarette use at earlier ages compared to youth with none/low internalizing and externalizing problems, respectively. Youth with high internalizing problems and high externalizing problems had increased risk of first reporting past 30-day e-cigarette use at earlier ages compared to youth with none/low internalizing problems, respectively. By age 17, 36.3% of youth with high internalizing problems and 38.5% of youth with high externalizing problems initiated ever e-cigarette use. By age 17, 16.8% of youth with high internalizing and 18.7% of youth with high externalizing problems first reported past 30-day e-cigarette use. Youth with internalizing and externalizing problems should be screened for e-cigarette use and provided with proper resources to prevent onset of e-cigarette use.

Indexed as

Electronic Nicotine Delivery SystemsTobacco ProductsVapingAdolescentHumansTobacco UseAdolescentsHealth disparitiesMental healthPublic health educationRisk factorsTobacco

Identifiers

PMID35716810
PMCPMC10234265
OpenAlexW4282978462

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.