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Predicting vaping uptake, vaping frequency and ongoing vaping among daily smokers using longitudinal data from the International Tobacco Control (ITC) Four Country Surveys.

Authors
  • Chan, Gary1
  • Morphett, Kylie2
  • Gartner, Coral2, 3
  • Leung, Janni1, 4
  • Yong, Hua-Hie5, 6
  • Hall, Wayne1, 7
  • Borland, Ron7, 8
  • 1 Centre for Youth Substance Abuse Research, The University of Queensland, Brisbane, QLD, Australia. , (Australia)
  • 2 School of Public Health, The University of Queensland, Brisbane, QLD, Australia. , (Australia)
  • 3 Queensland Alliance for Environmental Health Sciences, The University of Queensland, Brisbane, QLD, Australia. , (Australia)
  • 4 National Drug and Alcohol Research Centre, University of New South Wales, Sydney, NSW, Australia. , (Australia)
  • 5 School of Psychology, Deakin University, Geelong, VIC, Australia. , (Australia)
  • 6 Cancer Council Victoria, Melbourne, VIC, Australia. , (Australia)
  • 7 National Addiction Centre, King's College London, London, UK.
  • 8 School of Psychological Sciences, University of Melbourne, Melbourne, VIC, Australia. , (Australia)
Type
Published Article
Journal
Addiction (Abingdon, England)
Publication Date
Oct 01, 2019
Volume
114 Suppl 1
Pages
61–70
Identifiers
DOI: 10.1111/add.14537
PMID: 30575153
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

To assess (1) how far smoking patterns, depression and smoking-related beliefs and intentions predict vaping uptake, current vaping and vaping frequency among daily smokers; and (2) how far the aforementioned predictors and baseline vaping frequency predict current vaping among those who reported ever vaped. Analysis of data from six waves of a longitudinal survey over 8 years. Longitudinal associations between predictors and outcomes were examined using multi-level models. United Kingdom, United States, Canada and Australia. A total of 6296 daily smokers (53% females) who contributed data to at least two consecutive survey waves. The outcome variables were vaping uptake, vaping frequency and current vaping at follow-up. The key predictor variables, measured in previous waves, were time to first cigarette, cigarettes smoked per day, depressive symptoms, intention to quit smoking, quitting self-efficacy and worry about adverse health effects of smoking. Number of cigarettes smoked daily was associated with (1) subsequent vaping uptake [odds ratio (OR) = 1.69, 95% confidence interval (CI) = 1.19, 2.39 for 30+ cigarette per day; reference category: 0-10 cigarettes] and (2) a higher frequency of current vaping (OR = 1.97, 95% CI = 1.36, 2.85 for 30+ cigarettes). Intention to quit was associated with a higher frequency of current vaping (OR = 1.48, 95% CI = 1.21, 1.82). Among those who reported ever vaped, higher baseline vaping frequency (OR = 11.98, 95% CI = 6.00, 23.93 for daily vaping at baseline; reference category: vaped less than monthly) predicted current vaping. Among daily smokers, amount smoked and intention to quit smoking appear to predict subsequent vaping uptake. Vaping frequency at baseline appears to predict current vaping at follow-up. © 2018 Society for the Study of Addiction.

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