Evidence map›Paper›PMID 39729777›Full record

ArticleAddictive behaviors2025

Longitudinal analysis of predictors of electronic cigarette trial among adolescents in Guatemala.

Natalie Fahsen, Dèsirée Vidaña-Pérez, José Monzon, Sophia Mus, Gustavo Davila, Joaquín Barnoya, James F Thrasher

Abstract read
In one paragraph

Article in Addictive behaviors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Natalie FahsenDepartamento de Investigación, Unidad de Cirugía Cardiovascular de Guatemala, Guatemala City 01011, Guatemala. Electronic address: nataliefahsen@gmail.com.
Dèsirée Vidaña-PérezDepartment of Health Promotion, Education, and Behavior, University of South Carolina, Columbia 29208, SC, USA. Electronic address: desiree.vidana@gmail.com.
José MonzonDepartamento de Investigación, Unidad de Cirugía Cardiovascular de Guatemala, Guatemala City 01011, Guatemala. Electronic address: josecarlosmonzon@hotmail.com.
Sophia MusDepartamento de Investigación, Unidad de Cirugía Cardiovascular de Guatemala, Guatemala City 01011, Guatemala. Electronic address: sophielena.mus@gmail.com.
Gustavo DavilaDepartamento de Investigación, Unidad de Cirugía Cardiovascular de Guatemala, Guatemala City 01011, Guatemala. Electronic address: dr.gustavojdavila@gmail.com.
Joaquín BarnoyaDepartamento de Investigación, Unidad de Cirugía Cardiovascular de Guatemala, Guatemala City 01011, Guatemala; Department of Environmental and Occupational Health, Colorado School of Public Health, Aurora 80045, CO, USA. Electronic address: jbarnoya@post.harvard.edu.
James F ThrasherDepartment of Health Promotion, Education, and Behavior, University of South Carolina, Columbia 29208, SC, USA. Electronic address: thrasher@mailbox.sc.edu.

Funding

Electronic cigarettes in Latin America: Evaluation of impacts and policy optionsR01TW010652 · FIC · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI BARNOYA, JOAQUIN, THRASHER, JAMES · 2018 to 2021
$1.6M
FIC NIH HHS R01 TW010652
6 · The paper itself

Abstract

backgroundUnderstanding factors influencing electronic cigarette (e-cigarette) trial in adolescents is crucial for shaping policies and interventions to reduce consumption and potentially prevent addictive tendencies, particularly in countries with weak regulations like Guatemala.

objectiveWe aimed to longitudinally assess predictors of e-cigarette trial among Guatemalan adolescents surveyed in 2019, 2020, and 2021.

methodsStudents (13 to 18 years old) from nine private schools completed self-administered questionnaires about e-cigarette use and associated risk factors. Data from those who had at least one follow-up survey after reporting that they had never tried e-cigarettes at either the 2019 or 2020 survey (N = 838) was analyzed. We used a mixed-effects logistic regression clustered by student and school to assess predictors of ever e-cigarette use.

resultsNearly one-quarter (21.0 %) of unique students tried e-cigarettes at follow-up. Risk factors for e-cigarette trial included cigarette or heated tobacco products use (adjusted odds ratio [AOR] = 2.95, 95 %CI = 1.24-7.04), frequent exposure to online e-cigarette marketing (AOR = 2.46, 95 %CI = 1.39-4.35), alcohol or marihuana use (AOR = 1.74, 95 %CI = 1.17-2.58), and parental approval of e-cigarette use (AOR = 1.65, 95 %CI = 1.14-2.40). The perception that serious illness from life-long e-cigarette use is likely or certain (AOR = 0.57, 95 %CI = 0.36-0.91, and AOR = 0.37, 95 %CI = 0.19-0.72, respectively) appeared as a protective factor for e-cigarette trial.

conclusionOur findings align with international research, indicating shared risk factors across youth worldwide. The incorporation of these factors into policies and interventions targeting the reduction of e-cigarette trial is imperative for optimizing their efficacy.

Indexed as

Adolescent BehaviorElectronic Nicotine Delivery SystemsSmokingStudentsAdolescentFemaleGuatemalaHumansLogistic ModelsLongitudinal StudiesMaleOdds RatioRisk FactorsSurveys and QuestionnairesAdolescentsElectronic cigarettesLow- or middle-income countries (LMIC)PolicyPredictors

Identifiers

PMID39729777
PMCPMC13089111

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Registered trials

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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.