Evidence map›Paper›PMID 33364312›Full record

ArticleAddictive behaviors reports2020

Latent class trajectories: U.S. adolescents' nicotine use and its association with nicotine dependence.

Carol J Boyd, Philip Veliz, Rebecca Evans-Polce, Andria B Eisman, Sean Esteban McCabe

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Addictive behaviors reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Predictors of E-cigarette and Cigarette Use Trajectory Classes from Early Adolescence to Emerging Adulthood Across Four Years (2013-2017) of the PATH Study.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Article
  4. Article
  5. 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

5 authors at 2 institutions in 1 country.

Carol J BoydCenter for the Study of Drugs, Alcohol, Smoking and Health, School of Nursing, University of Michigan, 400 North Ingalls Street, Ann Arbor, MI 48109, USA.
Philip VelizCenter for the Study of Drugs, Alcohol, Smoking and Health, School of Nursing, University of Michigan, 400 North Ingalls Street, Ann Arbor, MI 48109, USA.
Rebecca Evans-PolceCenter for the Study of Drugs, Alcohol, Smoking and Health, School of Nursing, University of Michigan, 400 North Ingalls Street, Ann Arbor, MI 48109, USA.
Andria B EismanDivision of Kinesiology, Health and Sport Studies, College of Education, Wayne State University, 656 West Kirby, Detroit, MI 48202, USA.
Sean Esteban McCabeCenter for the Study of Drugs, Alcohol, Smoking and Health, School of Nursing, University of Michigan, 400 North Ingalls Street, Ann Arbor, MI 48109, USA.
University of Michigan–Ann Arbor · USWayne State University · US

Funding

Prospective Examination of E-Cigarette Use, Tobacco Use Disorder and Health Consequences by U.S. YouthR01DA044157 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOYD, CAROL J · 2018 to 2020
$702k
NIDA NIH HHS R01 DA044157
6 · The paper itself

Abstract

introductionTwenty-seven percent of adolescents used a nicotine/tobacco product in 2018. Our study analyzed three waves from the Population Assessment of Tobacco and Health (PATH) Study and examined adolescent nicotine/tobacco use trajectories over time to determine which latent classes were associated with symptoms of nicotine dependence.

methodsThe PATH Study used a four-stage, stratified area probability sample and annual household interviews with adolescents (12-17 years). Adolescents who indicated past 30-day nicotine/tobacco use at least once were included (

resultsAll types of past 30-day nicotine/tobacco use increased across the three waves. An LCA model fit was assessed using both the CIV and entropy measures in conjunction with the Vuong-Lo-Mendell-Rubin LRT. A five latent class solution had the lowest BIC value (BIC = 9784.272), and resulted in: (1) "Stable/consistent multiproduct use trajectory", (2) "Increasing cigarette use trajectory", (3) "Increasing e-cigarette use trajectory", (4) "Experimental (poly-nicotine/tobacco) use trajectory", and (5) "Increasing other nicotine/tobacco use trajectory". The most prevalent was the "Experimental (poly-nicotine/tobacco) use trajectory" (33.8%) although sex, race, and social class were associated with different trajectories. Those represented by the "Increasing cigarette use trajectory" (19.4%) reported significantly more past-year nicotine dependence symptoms (b = 1.73,

conclusionsResults indicate that the relationship between e-cigarette use and other forms of nicotine/tobacco and substance use is complex and that adolescent nicotine/tobacco users are a heterogenous group with different risks for nicotine dependence. Findings can inform tailored prevention education and messaging for different groups of youth.

Indexed as

Adolescent nicotine/tobacco use trajectoriesBIC, Bayesian information criterionCigarette useE-cigarettesGEE, generalized estimating equationsLCA, latent class analysisLRT, likelihood ratio testNYTS, National Youth Tobacco SurveyPATH Study, Population Assessment of Tobacco and Health StudySD, standard deviationWISDM-68, Wisconsin Inventory of Smoking Dependence Motives

Identifiers

PMID33364312
PMCPMC7752718
OpenAlexW3083904206

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.