Sunday Azagba1, Fares Qeadan2, Lingpeng Shan2, Keely Latham2, Mark Wolfson3. 1. Department of Family and Preventive Medicine, University of Utah School of Medicine, Salt Lake City, Utah. Electronic address: sunday.azagba@utah.edu. 2. Department of Family and Preventive Medicine, University of Utah School of Medicine, Salt Lake City, Utah. 3. Department of Social Medicine, Population and Public Health, University of California, Riverside School of Medicine, Riverside, California.
Abstract
INTRODUCTION: The relationship between e-cigarette use and cigarette smoking is the subject of ongoing debate. There is limited research on e-cigarette use and changes in the frequency of cigarette smoking. This study examines whether the frequency of e-cigarette use is associated with changes in cigarette smoking behavior among U.S. adults. METHODS: The study used data (n=20,558) from Waves 1 (2013-2014) and 2 (2014-2015) of the Population Assessment of Tobacco and Health, analyzed in 2019. Multivariable multinomial logistic regression assessed the association between e-cigarette use at Wave 1 and change in cigarette smoking frequency between Waves 1 and 2. RESULTS: Every day cigarette smokers who used e-cigarettes some days (OR=1.95, 95% CI=1.27, 2.98) and every day (OR=3.37, 95% CI=1.78, 6.36) in Wave 1 had significantly higher odds of switching to some days cigarette smoking in Wave 2. Every day smokers who used e-cigarettes every day in Wave 1 had higher odds of becoming former cigarette smokers in Wave 2. Likewise, e-cigarette use at baseline among former cigarette smokers was associated with higher odds of switching to some days cigarette smoking (experimental e-cigarette use: OR=5.43, 95% CI=2.13, 10.72; some days e-cigarette use: OR=4.78, 95% CI=2.13, 10.72). In addition, experimental smokers who were also some days e-cigarettes users in Wave 1 had significantly lower odds of switching to experimental former smokers. CONCLUSIONS: Although e-cigarette use may reduce cigarette smoking frequency among continuing smokers, findings suggest that e-cigarette use may be associated with cigarette smoking relapse among former smokers.
INTRODUCTION: The relationship between e-cigarette use and cigarette smoking is the subject of ongoing debate. There is limited research on e-cigarette use and changes in the frequency of cigarette smoking. This study examines whether the frequency of e-cigarette use is associated with changes in cigarette smoking behavior among U.S. adults. METHODS: The study used data (n=20,558) from Waves 1 (2013-2014) and 2 (2014-2015) of the Population Assessment of Tobacco and Health, analyzed in 2019. Multivariable multinomial logistic regression assessed the association between e-cigarette use at Wave 1 and change in cigarette smoking frequency between Waves 1 and 2. RESULTS: Every day cigarette smokers who used e-cigarettes some days (OR=1.95, 95% CI=1.27, 2.98) and every day (OR=3.37, 95% CI=1.78, 6.36) in Wave 1 had significantly higher odds of switching to some days cigarette smoking in Wave 2. Every day smokers who used e-cigarettes every day in Wave 1 had higher odds of becoming former cigarette smokers in Wave 2. Likewise, e-cigarette use at baseline among former cigarette smokers was associated with higher odds of switching to some days cigarette smoking (experimental e-cigarette use: OR=5.43, 95% CI=2.13, 10.72; some days e-cigarette use: OR=4.78, 95% CI=2.13, 10.72). In addition, experimental smokers who were also some days e-cigarettes users in Wave 1 had significantly lower odds of switching to experimental former smokers. CONCLUSIONS: Although e-cigarette use may reduce cigarette smoking frequency among continuing smokers, findings suggest that e-cigarette use may be associated with cigarette smoking relapse among former smokers.
Authors: Andrew F Brouwer; Jihyoun Jeon; Jana L Hirschtick; Evelyn Jimenez-Mendoza; Ritesh Mistry; Irina V Bondarenko; Stephanie R Land; Theodore R Holford; David T Levy; Jeremy M G Taylor; Nancy L Fleischer; Rafael Meza Journal: Tob Control Date: 2020-11-16 Impact factor: 7.552
Authors: David T Levy; Luz María Sánchez-Romero; Nargiz Travis; Zhe Yuan; Yameng Li; Sarah Skolnick; Jihyoun Jeon; Jamie Tam; Rafael Meza Journal: Int J Environ Res Public Health Date: 2021-05-03 Impact factor: 4.614