Evidence map›Paper›PMID 29355818›Full record

ArticleAddictive behaviors2018

Bidirectional associations of e-cigarette, conventional cigarette and waterpipe experimentation among adolescents: A cross-lagged model.

Melinda Pénzes, Kristie L Foley, Valentin Nădășan, Edit Paulik, Zoltán Ábrám, Róbert Urbán

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Addictive behaviors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 5 pooled it
3.3field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 5 syntheses or guidelines pooled it, 32 citations in OpenAlex.

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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

6 authors at 5 institutions in 3 countries.

Melinda PénzesInstitute of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Üllői út 26, Budapest H-1089, Hungary.
Kristie L FoleyDepartment of Implementation Science, Cancer Prevention and Control, Wake Forest University Medical School, Medical Center Blvd., Winston-Salem, NC 27157, USA.
Valentin NădășanDepartment of Hygiene, University of Medicine and Pharmacy Tîrgu Mureș, 38 Gheorghe Marinescu Street, Târgu Mureș 540139, Romania. Electronic address: valentin.nadasan@umftgm.ro.
Edit PaulikDepartment of Public Health, Faculty of Medicine, University of Szeged, Dóm tér 10, Szeged H-6720, Hungary.
Zoltán ÁbrámDepartment of Hygiene, University of Medicine and Pharmacy Tîrgu Mureș, 38 Gheorghe Marinescu Street, Târgu Mureș 540139, Romania.
Róbert UrbánInstitute of Psychology, Eötvös Loránd University, Budapest, Izabella u. 46, Budapest H-1064, Hungary.
Universitatea de Medicină, Farmacie, Științe și Tehnologie „George Emil Palade” din Târgu Mureș · ROEötvös Loránd University · HUSemmelweis University · HUUniversity of Szeged · HUWake Forest University · US

Funding

Building Capacity for Tobacco Research in RomaniaR01TW009280 · FIC · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI FOLEY, KRISTIE L · 2012 to 2016
$1.5M
FIC NIH HHS R01 TW009280
6 · The paper itself

Abstract

purposeWith an increasingly diverse tobacco product market, it is imperative to understand the trajectories of product experimentation in order to design effective prevention programs. This study aims to explore the bidirectional associations of conventional cigarette, e-cigarette and waterpipe experimentation in a large adolescent sample.

methodsLongitudinal assessment of conventional cigarette, e-cigarette and waterpipe use initiation was conducted in a school-based cohort of 1369 9th graders (mean age=14.88 SD=0.48 at baseline) during fall 2014 and reassessed 6-months later using online self-reported questionnaires. Autoregressive cross-lagged analysis within structural equation modeling framework was performed to simultaneously estimate the initiation of these products over a six-month period, controlling for age, gender, and participation in an intervention program to reduce conventional cigarette initiation.

resultsTobacco product lifetime use was prevalent at baseline in the sample: conventional cigarettes (48.4%), e-cigarettes (35.8%), and waterpipe (20.8%). At six-month follow-up, trying conventional cigarettes predicted trying e-cigarette (adjusted odds ratio (AOR)=3.78, CI95%: 2.66-5.37) and trying waterpipe (AOR=2.82, CI95%: 2.00-3.97). Trying e-cigarette predicted trying conventional cigarette (AOR=3.57, CI95%: 1.96-6.49) and trying waterpipe (AOR=1.51, CI95%: 1.07-2.14). Although trying waterpipe predicted trying e-cigarette at follow-up (AOR=2.10, CI95%: 1.30-3.40), its use did not predict trying conventional cigarette (AOR=0.55, CI95%: 0.24-1.30).

conclusionsThe high rates of poly-tobacco use and the bidirectionality of tobacco product experimentation demands comprehensive tobacco control and prevention programs that address the increasingly diverse tobacco product market targeting adolescents.

Indexed as

AdolescentCigarette SmokingCohort StudiesFemaleHumansLongitudinal StudiesMaleOdds RatioPrevalenceRomaniaSelf ReportSmoking PreventionSurveys and QuestionnairesVapingWater Pipe SmokingAlternative tobaccoE-cigaretteFollow-up studyNovel productsVapeWaterpipe

Identifiers

PMID29355818
PMCPMC5807159
OpenAlexW2783368933

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.