Dana Rubenstein1, Alexander W Sokolovsky2, Elizabeth R Aston2, Nicole L Nollen3, Christopher H Schmid4, Myra Rice5, Kim Pulvers5, Jasjit S Ahluwalia2. 1. Department of Behavioral and Social Sciences and the Center for Alcohol and Addiction Studies, School of Public Health, Brown University, Providence, RI, United States. Electronic address: dana_rubenstein@alumni.brown.edu. 2. Department of Behavioral and Social Sciences and the Center for Alcohol and Addiction Studies, School of Public Health, Brown University, Providence, RI, United States. 3. Department of Population Health, University of Kansas School of Medicine, Kansas City, KS, United States. 4. Department of Biostatistics, School of Public Health, Brown University, Providence, RI, United States. 5. Department of Psychology, California State University San Marcos, San Marcos, CA, United States.
Abstract
INTRODUCTION: E-cigarette (e-cig) use is widespread and may play an important role in facilitating smoking reduction. Racial/ethnic minorities are less likely than Whites to use e-cigs and suffer disproportionate tobacco-related disease, making them a priority for harm reduction. This paper explores factors associated with smoking reduction among African American (AA) and Latinx smokers enrolled in a trial assessing toxicant exposure in those assigned to e-cigs or smoking as usual. METHODS: Participants were randomized to receive 6 weeks of JUUL e-cigs or continue smoking cigarettes as usual (N = 187). This analysis focuses on 109 participants randomized to e-cigs. We modeled cigarettes smoked in the past week at baseline and week 6 as a function of a priori selected predictors (number of JUUL pods used throughout the study, baseline cigarette dependence, and baseline cotinine) using a Poisson model fit with generalized estimating equations. RESULTS: Over the six-week study, cigarette smoking decreased from an average of 82.4 to 15.5 cigarettes per week. Greater numbers of JUUL pods used predicted a greater smoking reduction by week 6 (IRR = 0.94 [0.91, 0.96], p < 0.001). Higher baseline cigarette dependence (IRR = 1.03 [1.01, 1.05], p = 0.004), and baseline cotinine (IRR = 1.18 [1.03, 1.37], p = 0.020) predicted a lesser smoking reduction. CONCLUSIONS: AA and Latinx smokers reduced their cigarette consumption while using JUUL e-cigs. Higher e-cig use during an intervention to switch to e-cigs to reduce harm may facilitate a transition to smoking fewer cigarettes, offering an opportunity to narrow smoking-related health disparities.
INTRODUCTION: E-cigarette (e-cig) use is widespread and may play an important role in facilitating smoking reduction. Racial/ethnic minorities are less likely than Whites to use e-cigs and suffer disproportionate tobacco-related disease, making them a priority for harm reduction. This paper explores factors associated with smoking reduction among African American (AA) and Latinx smokers enrolled in a trial assessing toxicant exposure in those assigned to e-cigs or smoking as usual. METHODS: Participants were randomized to receive 6 weeks of JUUL e-cigs or continue smoking cigarettes as usual (N = 187). This analysis focuses on 109 participants randomized to e-cigs. We modeled cigarettes smoked in the past week at baseline and week 6 as a function of a priori selected predictors (number of JUUL pods used throughout the study, baseline cigarette dependence, and baseline cotinine) using a Poisson model fit with generalized estimating equations. RESULTS: Over the six-week study, cigarette smoking decreased from an average of 82.4 to 15.5 cigarettes per week. Greater numbers of JUUL pods used predicted a greater smoking reduction by week 6 (IRR = 0.94 [0.91, 0.96], p < 0.001). Higher baseline cigarette dependence (IRR = 1.03 [1.01, 1.05], p = 0.004), and baseline cotinine (IRR = 1.18 [1.03, 1.37], p = 0.020) predicted a lesser smoking reduction. CONCLUSIONS: AA and Latinx smokers reduced their cigarette consumption while using JUUL e-cigs. Higher e-cig use during an intervention to switch to e-cigs to reduce harm may facilitate a transition to smoking fewer cigarettes, offering an opportunity to narrow smoking-related health disparities.
Authors: Dennis R Trinidad; Eliseo J Pérez-Stable; Martha M White; Sherry L Emery; Karen Messer Journal: Am J Public Health Date: 2011-02-17 Impact factor: 9.308
Authors: Nicole L Nollen; Matthew S Mayo; Lisa Sanderson Cox; Kolawole S Okuyemi; Won S Choi; Harsohena Kaur; Jasjit S Ahluwalia Journal: J Gen Intern Med Date: 2006-06 Impact factor: 5.128
Authors: Neal L Benowitz; Katherine M Dains; Delia Dempsey; Margaret Wilson; Peyton Jacob Journal: Nicotine Tob Res Date: 2011-05-05 Impact factor: 4.244
Authors: Nicole L Nollen; Matthew S Mayo; Lisa Sanderson Cox; Neal L Benowitz; Rachel F Tyndale; Edward F Ellerbeck; Taneisha S Scheuermann; Jasjit S Ahluwalia Journal: J Natl Cancer Inst Date: 2019-10-01 Impact factor: 13.506
Authors: Maciej L Goniewicz; Danielle M Smith; Kathryn C Edwards; Benjamin C Blount; Kathleen L Caldwell; Jun Feng; Lanqing Wang; Carol Christensen; Bridget Ambrose; Nicolette Borek; Dana van Bemmel; Karen Konkel; Gladys Erives; Cassandra A Stanton; Elizabeth Lambert; Heather L Kimmel; Dorothy Hatsukami; Stephen S Hecht; Raymond S Niaura; Mark Travers; Charles Lawrence; Andrew J Hyland Journal: JAMA Netw Open Date: 2018-12-07
Authors: Kim Pulvers; Nicole L Nollen; Myra Rice; Christopher H Schmid; Kexin Qu; Neal L Benowitz; Jasjit S Ahluwalia Journal: JAMA Netw Open Date: 2020-11-02