Grace Kong1, Benjamin W Chaffee2, Ran Wu3, Suchitra Krishnan-Sarin3, Feifei Liu4, Adam M Leventhal4, Rob McConnell4, Jessica Barrington-Trimis4. 1. Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06519, USA. Electronic address: Grace.Kong@yale.edu. 2. Division of Oral Epidemiology and Dental Public Health, University of California, San Francisco, San Francisco, CA 94143, USA. 3. Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06519, USA. 4. Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90032, USA.
Abstract
INTRODUCTION: To understand whether using a certain e-cigarette device is more strongly associated with risk of combustible tobacco use among youth. METHODS: We conducted multivariable logistic regression analyses using cross-sectional data from 4 samples of youth in Connecticut and California (N = 10,482; ages 13-24), separately for each study using the total sample and the sample of past-month e-cigarette users, to understand the association between e-cigarette device type and past-month combustible tobacco use, while controlling for age, sex, race/ethnicity, socioeconomic status, school, and past-month marijuana use. Then, we conducted meta-analyses to calculate pooled associations for adolescents, young adults, and all individuals combined. RESULTS: Among the total sample, combustible tobacco use was associated with any e-cigarette device use (vs. no e-cigarette use) in the pooled analysis across all studies. Among past-month e-cigarette users, combustible tobacco use across all studies was 15.8%- 61.5%. Pooled associations among past-month e-cigarette users showed that using disposable devices (vs. pods; AOR=2.83, 95% CI: 1.73-4.61) and multiple devices most frequently (vs. pods; AOR=2.13, 95% CI: 1.16-3.90) was associated with greater odds of combustible tobacco use. Pooled associations also found that using multiple devices (vs. a single device) in the past month was associated with greater odds of combustible tobacco use (AOR 2.33, 95% CI: 1.74, 3.14). DISCUSSION: Using disposable e-cigarettes and multiple devices is associated with greater likelihood of combustible tobacco use among e-cigarette using youth. Future research should elucidate the trajectory of e-cigarette device used and combustible tobacco use among youth to inform prevention and product regulation.
INTRODUCTION: To understand whether using a certain e-cigarette device is more strongly associated with risk of combustible tobacco use among youth. METHODS: We conducted multivariable logistic regression analyses using cross-sectional data from 4 samples of youth in Connecticut and California (N = 10,482; ages 13-24), separately for each study using the total sample and the sample of past-month e-cigarette users, to understand the association between e-cigarette device type and past-month combustible tobacco use, while controlling for age, sex, race/ethnicity, socioeconomic status, school, and past-month marijuana use. Then, we conducted meta-analyses to calculate pooled associations for adolescents, young adults, and all individuals combined. RESULTS: Among the total sample, combustible tobacco use was associated with any e-cigarette device use (vs. no e-cigarette use) in the pooled analysis across all studies. Among past-month e-cigarette users, combustible tobacco use across all studies was 15.8%- 61.5%. Pooled associations among past-month e-cigarette users showed that using disposable devices (vs. pods; AOR=2.83, 95% CI: 1.73-4.61) and multiple devices most frequently (vs. pods; AOR=2.13, 95% CI: 1.16-3.90) was associated with greater odds of combustible tobacco use. Pooled associations also found that using multiple devices (vs. a single device) in the past month was associated with greater odds of combustible tobacco use (AOR 2.33, 95% CI: 1.74, 3.14). DISCUSSION: Using disposable e-cigarettes and multiple devices is associated with greater likelihood of combustible tobacco use among e-cigarette using youth. Future research should elucidate the trajectory of e-cigarette device used and combustible tobacco use among youth to inform prevention and product regulation.
Authors: Grace Kong; Meghan E Morean; Dana A Cavallo; Deepa R Camenga; Suchitra Krishnan-Sarin Journal: Nicotine Tob Res Date: 2014-12-06 Impact factor: 4.244
Authors: Adam M Leventhal; Matthew D Stone; Nafeesa Andrabi; Jessica Barrington-Trimis; David R Strong; Steve Sussman; Janet Audrain-McGovern Journal: JAMA Date: 2016-11-08 Impact factor: 56.272
Authors: Jessica L Barrington-Trimis; Laura A Gibson; Bonnie Halpern-Felsher; Melissa B Harrell; Grace Kong; Suchitra Krishnan-Sarin; Adam M Leventhal; Alexandra Loukas; Rob McConnell; Scott R Weaver Journal: Nicotine Tob Res Date: 2018-01-05 Impact factor: 4.244
Authors: Adam M Leventhal; David R Strong; Matthew G Kirkpatrick; Jennifer B Unger; Steve Sussman; Nathaniel R Riggs; Matthew D Stone; Rubin Khoddam; Jonathan M Samet; Janet Audrain-McGovern Journal: JAMA Date: 2015-08-18 Impact factor: 56.272
Authors: Andrea S Gentzke; Teresa W Wang; Ahmed Jamal; Eunice Park-Lee; Chunfeng Ren; Karen A Cullen; Linda Neff Journal: MMWR Morb Mortal Wkly Rep Date: 2020-12-18 Impact factor: 17.586
Authors: Benjamin W Chaffee; Elizabeth T Couch; Janelle Urata; David Cash; Miranda Werts; Bonnie Halpern-Felsher Journal: Tob Induc Dis Date: 2020-08-28 Impact factor: 2.600