| Literature DB >> 28289597 |
Lynn T Kozlowski1, D Lynn Homish1, Gregory G Homish1.
Abstract
We assessed the roles of perceived satisfaction and perceived danger and vaping-product-type as correlates of more frequent use of vaping products. In a baseline assessment of a longitudinal study of US Army Reserve/National Guard Soldiers and their partners (New York State, USA, 2014-2016), participants were asked about current use of vaping products (e-cigarettes) and perceived satisfaction and danger in comparison to cigarettes as well as type of product used. Fisher-exact tests and multiple ordinal logistic regressions were used. In multivariable and univariate models, more perceived satisfaction, less perceived danger, and use of non-cig-alike products were associated with more frequent use of vaping products (ps < 0.05, two-tailed). For self-selected, more frequent adult users, e-cigs can be at least as satisfying as cigarettes and often more satisfying and are perceived as less dangerous than cigarettes. Non-cig-alike products were more likely in daily users. Some concern that e-cigs are a gateway to cigarettes arises from assuming that e-cigs may not be as reinforcing and pleasurable as cigarettes. These results indicate that accurate perception of comparative risk and use of more effective-nicotine delivery product can produce for some users a highly-satisfying alternative to cigarettes.Entities:
Keywords: Cigarettes; Electronic cigarettes; Harm reduction; Perceived risk; Satisfaction; Vaping
Year: 2017 PMID: 28289597 PMCID: PMC5344323 DOI: 10.1016/j.pmedr.2017.02.026
Source DB: PubMed Journal: Prev Med Rep ISSN: 2211-3355
Fig. 1Is your favorite e-cigarette or vaping device more or less satisfying than your favorite cigarette? Answers are in percentages and abbreviated options are presented. Details are available in Methods section (New York State, USA, 2014–2016).
Fig. 2Is your favorite e-cigarette or vaping device more or less dangerous for your health than your favorite cigarette? Answers are in percentages and abbreviated options are presented. Details are available in Methods section (New York State, USA, 2014–2016).
Two ordinal logistic regression models predicting use of e-cigarettes (1 = Triers, 2 = Not Daily users, 3 = Daily users); Product-type was determinable for only 67 participants (New York State, USA, 2014–2016).
| Variables | Odds ratio | 95% CL ( | Odds ratio | 95% CL ( | ||
|---|---|---|---|---|---|---|
| Age | 1.03 | 0.96–1.09 | 0.401 | 1.09 | 1.01–1.19 | 0.038 |
| Sex | 1.06 | 0.46–2.43 | 0.899 | 1.65 | 0.52–5.20 | 0.395 |
| Satisfaction | 2.14 | 1.57–2.91 | 0.000 | 2.00 | 1.31–3.07 | 0.001 |
| Danger | 0.51 | 0.32–0.80 | 0.004 | 0.33 | 0.14–0.73 | 0.007 |
| Product-type | – | – | – | 24.23 | 5.66–103.65 | 0.000 |