Evidence map›Paper›PMID 34674687›Full record

ArticleBMC public health2021

Youth susceptibility to tobacco use: is it general or specific?

Hui G Cheng, Pavel N Lizhnyak, Natasha A Knight, Andrea R Vansickel, Edward G Largo

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

20 citing papers in PubMed, 28 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Exploring Young Adults' Beliefs About Cigar Smoking by Susceptibility: A Belief Elicitation Study.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Trial
  4. E-cigarette and Cannabis in Social Media Influencer Marketing and Its Effect on Adolescents: A Survey-Based Experiment.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    Article
  5. Review
  6. Article
  7. Article
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  9. Noncigarette Tobacco Product Use Among Smoking-Susceptible and Nonsusceptible Adolescent Never Smokers, 2009-2021.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2024
    Article
  10. Article
  11. Article
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  16. Sleep quality, physical activity, screen time, and substance use in children with obesity: associations with obstructive sleep apnea.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2023
    Article
  17. Article
  18. Article
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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.

Hui G ChengAltria Client Services LLC, 601 E. Jackson, Richmond, VA, 23219, USA. hui.cheng@altria.com.
Pavel N LizhnyakAltria Client Services LLC, 601 E. Jackson, Richmond, VA, 23219, USA.
Natasha A KnightAltria Client Services LLC, 601 E. Jackson, Richmond, VA, 23219, USA.
Andrea R VansickelAltria Client Services LLC, 601 E. Jackson, Richmond, VA, 23219, USA.
Edward G LargoAltria Client Services LLC, 601 E. Jackson, Richmond, VA, 23219, USA.
Altria (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSusceptibility to tobacco use predicts tobacco use onset among youth. The current study aimed to estimate the extent of overlap in susceptibilities across various tobacco products, investigate sociopsychological correlates with susceptibilities, and examine whether the relationship linking susceptibility with the onset of use is product-specific or is accounted for by a general susceptibility-onset relationship.

methodsThe study population consisted of US youth 12-17 years old who had never used a tobacco product, sampled in the longitudinal Population Assessment of Tobacco and Health study wave 4 (Dec. 2016-Jan. 2018; n = 10,977). Tobacco product-specific susceptibility at wave 4 was assessed via questions about curiosity, likelihood to try, and likelihood of use if a best friend offered. The onset of use of various tobacco products was defined as first use occurring between the wave 4 and wave 4.5 (Dec. 2017-Dec. 2018) assessments (n = 8841). Generalized linear regression and structural equation models were used for data analysis.

resultsThere is a large degree of overlap in susceptibilities across tobacco products (65% of tobacco-susceptible youth were susceptible to more than one tobacco product). Tobacco-susceptible youths were more likely to have recently used cannabis, consumed alcohol, or to have been associated with tobacco-using peers. Structural equation models suggest that the susceptibility-onset relationship largely operates in a non-product-specific manner after accounting for the general susceptibility-to-tobacco-onset relationship.

conclusionsYouth susceptibility to tobacco use overlaps widely across different tobacco products and other risky behaviors. Findings from this study support a holistic approach towards the prevention of risk behaviors, supplemented by product-specific strategies when needed.

Indexed as

Adolescent BehaviorElectronic Nicotine Delivery SystemsTobacco ProductsAdolescentChildHumansRisk-TakingTobacco UseProspective studySusceptibility to tobacco useTobacco preventionYouth

Identifiers

PMID34674687
PMCPMC8532300
OpenAlexW3206932166

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.