Natalie Fahsen, Dèsirée Vidaña-Pérez, José Monzon, Sophia Mus, Gustavo Davila, Joaquín Barnoya, James F Thrasher
{"title":"Longitudinal analysis of predictors of electronic cigarette trial among adolescents in Guatemala.","authors":"Natalie Fahsen, Dèsirée Vidaña-Pérez, José Monzon, Sophia Mus, Gustavo Davila, Joaquín Barnoya, James F Thrasher","doi":"10.1016/j.addbeh.2024.108233","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Understanding 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.</p><p><strong>Objective: </strong>We aimed to longitudinally assess predictors of e-cigarette trial among Guatemalan adolescents surveyed in 2019, 2020, and 2021.</p><p><strong>Methods: </strong>Students (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.</p><p><strong>Results: </strong>Nearly 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.</p><p><strong>Conclusion: </strong>Our 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.</p>","PeriodicalId":93857,"journal":{"name":"Addictive behaviors","volume":"162 ","pages":"108233"},"PeriodicalIF":0.0000,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Addictive behaviors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.addbeh.2024.108233","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Understanding 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.
Objective: We aimed to longitudinally assess predictors of e-cigarette trial among Guatemalan adolescents surveyed in 2019, 2020, and 2021.
Methods: Students (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.
Results: Nearly 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.
Conclusion: Our 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.