Evidence map›Paper›PMID 33039921›Full record

ArticleDrug and alcohol dependence2020

Predictors of marijuana vaping onset and escalation among young adults.

Pallav Pokhrel, Pebbles Fagan, Crissy T Kawamoto, Scott K Okamoto, Thaddeus A Herzog

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  5. Article
  6. Examining indirect effects of advertising exposure on young adults' cannabis and nicotine vaping.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2023
    Article
  7. Observational
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  9. Article
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  12. A machine learning approach to predict e-cigarette use and dependence among Ontario youth.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2022
    Article
  13. 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 4 institutions in 1 country.

Pallav PokhrelCancer Prevention in the Pacific Program, University of Hawaii Cancer Center, 701 Ilalo St, Honolulu, HI 96813, USA. Electronic address: ppokhrel@cc.hawaii.edu.
Pebbles FaganCenter for the Study of Tobacco, Department of Health Behavior & Health Education, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, 4018 W Capitol Ave., Little Rock, AR 72205, USA.
Crissy T KawamotoCancer Prevention in the Pacific Program, University of Hawaii Cancer Center, 701 Ilalo St, Honolulu, HI 96813, USA.
Scott K OkamotoCollege of Health and Society, School of Social Work, Hawaii Pacific University, 500 Ala Moana Blvd., WP1-420, Honolulu, HI 96813, USA.
Thaddeus A HerzogCancer Prevention in the Pacific Program, University of Hawaii Cancer Center, 701 Ilalo St, Honolulu, HI 96813, USA.
University of Hawaii Cancer CenterHawaii Pacific University · USUniversity of Arkansas for Medical Sciences · USUniversity of Hawaii System · US

Funding

Prospective effects of electronic cigarette marketing on expectancies and behaviorR01CA202277 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI POKHREL, PALLAV · 2016 to 2020
$2.6M
Social Processes of E-cigarette Marketing's Influence on BehaviorR01CA228905 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI POKHREL, PALLAV · 2018 to 2020
$1.4M
NCI NIH HHS R01 CA202277NCI NIH HHS R01 CA228905
6 · The paper itself

Abstract

backgroundLittle is known about factors that influence marijuana vaping among young people. We examined cigarette, e-cigarette and marijuana use experiences, social network characteristics and exposure to direct e-cigarette marketing as predictors of marijuana vaping initiation and escalation.

methodsOne-year prospective data were collected between 2017 and 2019 from 2327 young adults (Mean age = 21.2; SD = 2.1; 54 % women) attending 2-year and 4-year colleges in Hawaii.

resultsAmong participants who were never marijuana users at baseline, being a dual user of cigarette and e-cigarette at baseline was the strongest predictor of marijuana vaping initiation, followed by baseline cigarette-only and e-cigarette-only use. Higher prevalence of regular marijuana users in one's social networks, but not e-cigarette users or cigarette smokers, significantly predicted marijuana vaping initiation a year later. Among baseline current e-cigarette users and lifetime marijuana users, higher presence in social networks of individuals who frequented vape shops at baseline was a significant predictor of increased current marijuana vaping at one-year follow-up.

conclusionsDual use of cigarette and e-cigarette and greater presence in social networks of marijuana users and people who frequent vape shops appear to be robust predictors of marijuana vaping onset and escalation among young adults. In addition to promoting e-cigarette use prevention/cessation, efforts to control marijuana vaping may need to consider promoting smoking prevention/cessation and the effects of increasing prevalence of marijuana use.

Indexed as

Electronic Nicotine Delivery SystemsAdolescentAdultCigarette SmokingFemaleFollow-Up StudiesForecastingHumansMaleMarijuana SmokingProspective StudiesStudentsVapingYoung AdultCigaretteE-cigaretteMarijuana vapingSocial networksYoung adults

Identifiers

PMID33039921
PMCPMC9232210
OpenAlexW3089320325

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.