Literature DB >> 31375364

Changes in E-Cigarette Use Behaviors and Dependence in Long-term E-Cigarette Users.

Ping Du1, Tongyao Fan2, Jessica Yingst3, Susan Veldheer3, Shari Hrabovsky3, Chen Chen2, Jonathan Foulds4.   

Abstract

INTRODUCTION: Little is known about the effects of long-term e-cigarette use, particularly the risks of relapse to cigarette smoking or increased dependence.
METHODS: In a 2012-2014 baseline online e-cigarette survey, 1,863 respondents consented to participate in future research. A follow-up online survey was conducted in 2017-2018 to assess changes in e-cigarette use behaviors and e-cigarette-related dependence. For both surveys, exclusive e-cigarette use was defined as only using e-cigarettes in the past 7 days, and poly use was defined as using both e-cigarettes and other tobacco or nicotine products in the past 7 days. The Penn State Electronic Cigarette Dependence Index (PSECDI) score was calculated for each study subject and was used to evaluate e-cigarette dependence. Paired t-tests or Pearson correlation coefficients were used to examine changes in e-cigarette use behaviors or PSECDI scores between baseline and follow-up. Baseline and follow-up survey data were analyzed in January 2019.
RESULTS: A total of 494 subjects provided complete data on both surveys. At baseline, 402 subjects (81.4%) were exclusive e-cigarette users, and 71 subjects (14.4%) were poly users. Among baseline exclusive e-cigarette users, the majority (88.3%) continued using e-cigarettes exclusively, but 37 users (9.2%) became poly users and 1 returned to cigarette smoking at follow-up. Among baseline poly users, 60.6% became exclusive e-cigarette users at follow-up. The mean PSECDI score remained similar over time (8.4 at baseline vs 8.3 at follow-up).
CONCLUSIONS: Findings suggest that the risk of relapse to cigarette smoking is low, and e-cigarette-related dependence remains stable in long-term e-cigarette users.
Copyright © 2019 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Year:  2019        PMID: 31375364     DOI: 10.1016/j.amepre.2019.04.021

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


  2 in total

1.  Factors associated with past-year attempts to quit e-cigarettes among current users: Findings from the Population Assessment of Tobacco and Health Wave 4 (2017-2018).

Authors:  Rachel L Rosen; Marc L Steinberg
Journal:  Drug Alcohol Depend       Date:  2021-08-28       Impact factor: 4.852

2.  Changes in Flavor Preference in a Cohort of Long-Term Electronic Cigarette Users.

Authors:  Ping Du; Rebecca Bascom; Tongyao Fan; Ankita Sinharoy; Jessica Yingst; Pritish Mondal; Jonathan Foulds
Journal:  Ann Am Thorac Soc       Date:  2020-05
  2 in total

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