Coupons and state tobacco policy context as predictors of tobacco use among those reporting e-cigarette use in the U.S.: Findings from the Population Assessment of Tobacco and Health (PATH) Study waves 5–6 (2018–2021)

Background: Receipt of cigarette and e-cigarette coupons predicts initiation and progression of use and hinders cessation. Less is known about how coupons operate in different tobacco regulatory environments. The current study utilized longitudinal data from the Population Assessment of Tobacco and...

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Main Authors: J.H. Kingsbury, H.L. Kimmel, M.J. Parks, M.R. Creamer, C. Blanco, W.M. Compton
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Preventive Medicine Reports
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Online Access:http://www.sciencedirect.com/science/article/pii/S2211335524003589
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author J.H. Kingsbury
H.L. Kimmel
M.J. Parks
M.R. Creamer
C. Blanco
W.M. Compton
author_facet J.H. Kingsbury
H.L. Kimmel
M.J. Parks
M.R. Creamer
C. Blanco
W.M. Compton
author_sort J.H. Kingsbury
collection DOAJ
description Background: Receipt of cigarette and e-cigarette coupons predicts initiation and progression of use and hinders cessation. Less is known about how coupons operate in different tobacco regulatory environments. The current study utilized longitudinal data from the Population Assessment of Tobacco and Health (PATH) Study to address this research gap. Methods: Adults who reported past 30-day (P30D) e-cigarette use at Wave 5 (2018–2019) were included (N = 3632). The primary outcome was Wave 6 (2021) P30D any tobacco use. Wave 5 predictors were receipt of e-cigarette coupons, state e-cigarette tax, state tobacco policy context, flavored e-cigarette use, income, and education. Covariates were age, sex, race, state coupon policy, and Wave 5 use of tobacco other than e-cigarettes. Weighted logistic regression models examined effects overall and in samples stratified by state e-cigarette tax and tobacco policy context. Results: Controlling for covariates, Wave 5 coupon receipt (AOR = 1.57; 95 % CI: 1.07, 2.31) and preference for flavored e-cigarettes (AOR = 1.70; 1.37, 2.10) were positively associated with Wave 6 tobacco use. Stronger state tobacco policy context was negatively associated with tobacco use (AOR = 0.69; 0.55, 0.88). Coupon receipt predicted tobacco use in states with an e-cigarette tax (AOR = 2.39; 1.22, 4.68) and with stronger tobacco policy contexts (AOR = 1.80; 1.07, 3.02), but not in states without an e-cigarette tax (AOR = 1.29; 0.83, 1.99) or with weaker tobacco policy contexts (AOR = 1.33; 0.78, 2.24). Conclusions: Policies that restrict price-discounting could help discourage e-cigarette use, reinforce e-cigarette taxes and other tobacco control policies, and promote cessation of all tobacco among those reporting e-cigarette use.
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spelling doaj-art-2ea89c1ce1124ebda86ce09c2f8acd1f2025-01-11T06:41:16ZengElsevierPreventive Medicine Reports2211-33552025-01-0149102943Coupons and state tobacco policy context as predictors of tobacco use among those reporting e-cigarette use in the U.S.: Findings from the Population Assessment of Tobacco and Health (PATH) Study waves 5–6 (2018–2021)J.H. Kingsbury0H.L. Kimmel1M.J. Parks2M.R. Creamer3C. Blanco4W.M. Compton5National Institute on Drug Abuse, 6001 Executive Blvd, N. Bethesda, MD 20852, USA; Kelly Government Solutions, 8380 Colesville Rd #500, Silver Spring, MD 20910, USA; Corresponding author at: National Institute on Drug Abuse, 6001 Executive Blvd, N. Bethesda, MD 20852, USA.National Institute on Drug Abuse, 6001 Executive Blvd, N. Bethesda, MD 20852, USANational Institute on Drug Abuse, 6001 Executive Blvd, N. Bethesda, MD 20852, USA; Kelly Government Solutions, 8380 Colesville Rd #500, Silver Spring, MD 20910, USANational Institute on Drug Abuse, 6001 Executive Blvd, N. Bethesda, MD 20852, USANational Institute on Drug Abuse, 6001 Executive Blvd, N. Bethesda, MD 20852, USANational Institute on Drug Abuse, 6001 Executive Blvd, N. Bethesda, MD 20852, USABackground: Receipt of cigarette and e-cigarette coupons predicts initiation and progression of use and hinders cessation. Less is known about how coupons operate in different tobacco regulatory environments. The current study utilized longitudinal data from the Population Assessment of Tobacco and Health (PATH) Study to address this research gap. Methods: Adults who reported past 30-day (P30D) e-cigarette use at Wave 5 (2018–2019) were included (N = 3632). The primary outcome was Wave 6 (2021) P30D any tobacco use. Wave 5 predictors were receipt of e-cigarette coupons, state e-cigarette tax, state tobacco policy context, flavored e-cigarette use, income, and education. Covariates were age, sex, race, state coupon policy, and Wave 5 use of tobacco other than e-cigarettes. Weighted logistic regression models examined effects overall and in samples stratified by state e-cigarette tax and tobacco policy context. Results: Controlling for covariates, Wave 5 coupon receipt (AOR = 1.57; 95 % CI: 1.07, 2.31) and preference for flavored e-cigarettes (AOR = 1.70; 1.37, 2.10) were positively associated with Wave 6 tobacco use. Stronger state tobacco policy context was negatively associated with tobacco use (AOR = 0.69; 0.55, 0.88). Coupon receipt predicted tobacco use in states with an e-cigarette tax (AOR = 2.39; 1.22, 4.68) and with stronger tobacco policy contexts (AOR = 1.80; 1.07, 3.02), but not in states without an e-cigarette tax (AOR = 1.29; 0.83, 1.99) or with weaker tobacco policy contexts (AOR = 1.33; 0.78, 2.24). Conclusions: Policies that restrict price-discounting could help discourage e-cigarette use, reinforce e-cigarette taxes and other tobacco control policies, and promote cessation of all tobacco among those reporting e-cigarette use.http://www.sciencedirect.com/science/article/pii/S2211335524003589e-cigarettesPublic policyCessationTobacco useCouponsMarketing
spellingShingle J.H. Kingsbury
H.L. Kimmel
M.J. Parks
M.R. Creamer
C. Blanco
W.M. Compton
Coupons and state tobacco policy context as predictors of tobacco use among those reporting e-cigarette use in the U.S.: Findings from the Population Assessment of Tobacco and Health (PATH) Study waves 5–6 (2018–2021)
Preventive Medicine Reports
e-cigarettes
Public policy
Cessation
Tobacco use
Coupons
Marketing
title Coupons and state tobacco policy context as predictors of tobacco use among those reporting e-cigarette use in the U.S.: Findings from the Population Assessment of Tobacco and Health (PATH) Study waves 5–6 (2018–2021)
title_full Coupons and state tobacco policy context as predictors of tobacco use among those reporting e-cigarette use in the U.S.: Findings from the Population Assessment of Tobacco and Health (PATH) Study waves 5–6 (2018–2021)
title_fullStr Coupons and state tobacco policy context as predictors of tobacco use among those reporting e-cigarette use in the U.S.: Findings from the Population Assessment of Tobacco and Health (PATH) Study waves 5–6 (2018–2021)
title_full_unstemmed Coupons and state tobacco policy context as predictors of tobacco use among those reporting e-cigarette use in the U.S.: Findings from the Population Assessment of Tobacco and Health (PATH) Study waves 5–6 (2018–2021)
title_short Coupons and state tobacco policy context as predictors of tobacco use among those reporting e-cigarette use in the U.S.: Findings from the Population Assessment of Tobacco and Health (PATH) Study waves 5–6 (2018–2021)
title_sort coupons and state tobacco policy context as predictors of tobacco use among those reporting e cigarette use in the u s findings from the population assessment of tobacco and health path study waves 5 6 2018 2021
topic e-cigarettes
Public policy
Cessation
Tobacco use
Coupons
Marketing
url http://www.sciencedirect.com/science/article/pii/S2211335524003589
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