Evidence map›Paper›PMID 37156636›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2023

Indicators of Tobacco Dependence Among Youth: Findings From Wave 1 (2013-2014) of the Population Assessment of Tobacco and Health Study.

David R Strong, Allison M Glasser, Eric C Leas, John P Pierce, David B Abrams, Mary Hrywna, Andrew Hyland, K Michael Cummings, Dorothy K Hatsukami, Geoffrey T Fong and 9 more

Erratum issuedOpen access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 11 institutions in 2 countries.

David R StrongCancer Prevention and Control Program, Moores Cancer Center University of California, San Diego, CA, USA.ORCID 0000-0002-5383-9032
Allison M GlasserSchool of Global Public Health, New York University, New York, NY, USA.ORCID 0000-0002-6582-2684
Eric C LeasDepartment of Family Medicine and Public Health, University of California, San Diego, CA, USA.
John P PierceDepartment of Family Medicine and Public Health, University of California, San Diego, CA, USA.ORCID 0000-0002-0075-7471
David B AbramsSchool of Global Public Health, New York University, New York, NY, USA.
Mary HrywnaDepartment of Health Behavior, Society and Policy, Rutgers School of Public Health, New Brunswick, NJ, USA.
Andrew HylandRoswell Park Cancer Institute, Buffalo, NY, USA.
K Michael CummingsMedical University of South Carolina, Charleston, SC, USA.
Dorothy K HatsukamiDepartment of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA.ORCID 0000-0002-1108-2609
Geoffrey T FongSchool of Public Health Sciences, University of Waterloo, Waterloo, ON,Canada.
Tara Elton-MarshallSchool of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada.
Eva SharmaWestat, Rockville, MD, USA.ORCID 0000-0002-1328-508X
Kathryn C EdwardsWestat, Rockville, MD, USA.
Cassandra A StantonWestat, Rockville, MD, USA.
Michael D SawdeyCenter for Tobacco Products, Food and Drug Administration, Silver Spring, MD, USA.ORCID 0000-0003-4146-6897
Carolina P RamôaCenter for Tobacco Products, Food and Drug Administration, Silver Spring, MD, USA.
Marushka L SilveiraKelly Government Solutions, Rockville, MD, USA.ORCID 0000-0002-4880-2550
Heather L KimmelNational Institute on Drug Abuse (NIDA/NIH), Bethesda, MD, USA.ORCID 0000-0001-8278-0095
Raymond S NiauraSchool of Global Public Health, New York University, New York, NY, USA.
New York University · USUniversity of California San Diego · USWestat (United States) · USMedical University of South Carolina · USNational Institute of Dental and Craniofacial Research · USNational Institute on Drug Abuse · USOntario Institute for Cancer Research · CARoswell Park Comprehensive Cancer Center · USRutgers, The State University of New Jersey · USUniversity of Minnesota · USUniversity of Ottawa · CA

Funding

NIDA NIH HHS HHSN271201100027CNIDA NIH HHS HHSN271201600001C
6 · The paper itself

Abstract

backgroundPrior work established a measure of tobacco dependence (TD) among adults that can be used to compare TD across different tobacco products. We extend this approach to develop a common, cross-product metric for TD among youth.

methodsOne thousand one hundred and forty-eight youth aged 12-17 who used a tobacco product in the past 30 days were identified from 13 651 youth respondents in Wave 1 of the Population Assessment of Tobacco and Health (PATH) Study.

findingsAnalyses confirmed a single primary latent construct underlying responses to TD indicators for all mutually exclusive tobacco product user groups. Differential Item Functioning analyses supported the use of 8 of 10 TD indicators for comparisons across groups. With TD levels anchored at 0.0 (standard deviation [SD] = 1.0) among cigarette only (n = 265) use group, mean TD scores were more than a full SD lower for e-cigarette only (n = 150) use group (mean = -1.09; SD = 0.64). Other single product use group (cigar, hookah, pipe, or smokeless; n = 262) on average had lower TD (mean = -0.60; SD = 0.84), and the group with the use of multiple tobacco products (n = 471) experienced similar levels of TD (mean = 0.14; SD = 0.78) as the cigarette only use group. Concurrent validity was established with product use frequency among all user groups. A subset of five TD items comprised a common metric permitting comparisons between youth and adults.

conclusionThe PATH Study Youth Wave 1 Interview provided psychometrically valid measures of TD that enable future regulatory investigations of TD across tobacco products and comparisons between youth and adult tobacco product use group. IMPLICATIONS: A measure of tobacco dependence (TD) has been established previously among adults to compare TD across tobacco products. This study established the validity of a similar, cross-product measure of TD among youth. Findings suggest a single latent TD construct underlying this measure, concurrent validity of the scale with product use frequency across different types of tobacco users, and a subset of common items that can be used to compare TD between youth and adults who use tobacco.

Indexed as

Electronic Nicotine Delivery SystemsTobacco ProductsTobacco Use DisorderAdolescentAdultHumansTobacco UseUnited States

Identifiers

PMID37156636
PMCPMC10439486
OpenAlexW4375851182

What OpenQuestion holds

Textmetadata
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.