Evidence map›Paper›PMID 36812780›Full record

ArticleAddictive behaviors2023

Psychosocial predictors of trajectories of dual cigarette and e-cigarette use among young adults in the US.

Katelyn F Romm, Amy M Cohn, Yan Wang, Carla J Berg

Open access · greenAbstract read
In one paragraph

Article in Addictive behaviors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 14 citations in OpenAlex.

  1. Cannabis and Tobacco Product Use Classes and Psychosocial Correlates Among US Young Adults.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
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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

4 authors at 2 institutions in 1 country.

Katelyn F RommTSET Health Promotion Research Center, Stephenson Cancer Center, Univeristy of Oklahoma Health Sciences Center, Oklahoma City, OK, USA; Department of Pediatrics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA. Electronic address: katelyn-romm@ouhsc.edu.
Amy M CohnTSET Health Promotion Research Center, Stephenson Cancer Center, Univeristy of Oklahoma Health Sciences Center, Oklahoma City, OK, USA; Department of Pediatrics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Yan WangDepartment of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA.
Carla J BergDepartment of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA; George Washington Cancer Center, George Washington University, Washington, DC, USA.
Milken Institute · USUniversity of Oklahoma Health Sciences Center · US

Funding

Tissue Pathology Shared ResourceP30CA225520 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI ROBERT S. MANNEL · 2018 to 2026
$27.1M
Regulatory Impact on Vape Shops and Young Adults' Use of ENDS - Diversity SupplementR01CA215155 · NCI · GEORGE WASHINGTON UNIVERSITY · PI BERG, CARLA J · 2018 to 2022
$3.4M
Parental Influences on Tobacco Use among Sexual Minority Young Adults in a New Market and Policy LandscapeF32DA055388 · NIDA · GEORGE WASHINGTON UNIVERSITY · PI ROMM, KATELYN · 2022 to 2022
$12k
NCI NIH HHS P30 CA225520NCI NIH HHS R01 CA215155NIDA NIH HHS F32 DA055388NIDA NIH HHS L60 DA056995
6 · The paper itself

Abstract

introductionYoung adults have the highest prevalence of cigarette and e-cigarette use, warranting research to identify psychosocial correlates of their use trajectories.

methodsRepeated measures latent profile analyses (RMLPAs) examined past 6-month cigarette and e-cigarette trajectories across 5 waves of data (2018-2020) among 3,006 young adults (M

resultsRMLPAs yielded a 6-profile solution, which were uniquely associated with predictors: stable low-level or nonusers of cigarettes and e-cigarettes (66.3%; referent group), stable low-level cigarette and high-level e-cigarette use (12.3%; greater depressive symptoms, ACEs, openness; male, White, cannabis use), stable mid-level cigarette and low-level e-cigarette use (6.2%; greater depressive symptoms, ACEs, extraversion; less openness, conscientiousness; older age, male, Black or Hispanic, cannabis use), stable low-level cigarette and decreasing e-cigarette use (6.0%; greater depressive symptoms, ACEs, openness; younger age, cannabis use), stable high-level cigarette and low-level e-cigarette use (4.7%; greater depressive symptoms, ACEs, extraversion; older age, cannabis use), and decreasing high-level cigarette and stable high-level e-cigarette use (4.5%; greater depressive symptoms, ACEs, extraversion, less conscientiousness; older age, cannabis use).

conclusionsCigarette and e-cigarette prevention and cessation efforts should be targeted both toward specific trajectories of use and their unique psychosocial correlates.

Indexed as

Electronic Nicotine Delivery SystemsTobacco ProductsVapingAdultEthnicityFemaleHumansMaleMinority GroupsYoung AdultCigarette useE-cigarette usePsychosocial factorsTrajectoriesYoung adults

Identifiers

PMID36812780
PMCPMC10154740
OpenAlexW4320033760

What OpenQuestion holds

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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.