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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.

Author: Chan

Year Published: 2019

Summary

Aim: 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.Findings: Number of cigarettes smoked daily was associated with (1) subsequent vaping uptake (OR=1.69, 95%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.
Conclusion: 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.

Citation

Chan G, Morphett K, Gartner C, et al. Predicting vaping uptake, vaping frequency and ongoing vaping among daily smokers using longitudinal data from the International Tobacco Control (ITC) Four Country Surveys. addiction (abingdon, England). 2019;114 Suppl 1:61-70. doi:10.1111/add.14537
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