scholarly journals Young adult e-cigarette use outcome expectancies: Validity of a revised scale and a short scale

2018 ◽  
Vol 78 ◽  
pp. 193-199 ◽  
Author(s):  
Pallav Pokhrel ◽  
Tony H. Lam ◽  
Ian Pagano ◽  
Crissy T. Kawamoto ◽  
Thaddeus A. Herzog
Keyword(s):  
Young Adult ◽  
Outcome Expectancies ◽  
Cigarette Use ◽  
Short Scale

scholarly journals Modelling the contribution of negative affect, outcome expectancies and metacognitions to cigarette use and nicotine dependence

2017 ◽  
Vol 74 ◽  
pp. 82-89 ◽  
Author(s):  
Ana V. Nikčević ◽  
Leyla Alma ◽  
Claudia Marino ◽  
Daniel Kolubinski ◽  
Adviye Esin Yılmaz-Samancı ◽  
...  
Keyword(s):  
Negative Affect ◽  
Nicotine Dependence ◽  
Outcome Expectancies ◽  
Cigarette Use

E-Cigarette Use Outcome Expectancies Scale--Turkish Version

2020 ◽  
Author(s):  
Yasemin Selekoğlu Ok ◽  
Murat Bektas ◽  
Pallav Pokhrel
Keyword(s):  
Outcome Expectancies ◽  
Cigarette Use ◽  
Turkish Version

scholarly journals e-Cigarette Use Among Young Adult Cancer Survivors Relative to the US Population

JAMA Oncology ◽  
2020 ◽  
Vol 6 (6) ◽  
pp. 923 ◽  
Author(s):  
Helen M. Parsons ◽  
Patricia I. Jewett ◽  
Karim Sadak ◽  
Lucie M. Turcotte ◽  
Rachel I. Vogel ◽  
...  
Keyword(s):  
Young Adult ◽  
Cancer Survivors ◽  
Cigarette Use ◽  
Young Adult Cancer Survivors ◽  
Adult Cancer Survivors ◽  
The Us ◽  
Young Adult Cancer

scholarly journals Compliance in Controlled E-cigarette Studies

2020 ◽  
Author(s):  
Meghan E Rebuli ◽  
Feifei Liu ◽  
Robert Urman ◽  
Jessica L Barrington-Trimis ◽  
Sandrah P Eckel ◽  
...  
Keyword(s):  
Young Adult ◽  
Study Protocol ◽  
User Satisfaction ◽  
Cigarette Use ◽  
Serum Cotinine ◽  
Future Studies ◽  
Closed Systems ◽  
Convenience Sampling ◽  
Protocol Compliance ◽  
And Biological Markers

Abstract Introduction E-cigarette studies have found that the use of a variety of flavors and customizable devices results in greater use frequency and user satisfaction. However, standardized research e-cigarettes are being developed as closed systems with limited flavor options, potentially limiting user satisfaction. In this study, we explore protocol compliance in an e-cigarette study using a standardized, assigned device with puff time and duration tracking (controlled e-cigarette) and potential limitations that controlled devices and e-liquids can introduce. Methods In a crossover study, 49 young adult e-cigarette users were recruited using convenience sampling and assigned a controlled e-cigarette device and flavored or unflavored e-liquids on standardized protocols. E-cigarette use frequency (number of puffs per day, collected from the device) and serum cotinine levels were obtained at each of three study visits over 3 weeks. The correlation of cotinine and e-cigarette use over the preceding week was calculated at each study visit. Results Correlation of nicotine intake, as measured by serum cotinine, and puff time, as measured by puffs count and duration from the e-cigarette device, as an indicator of study protocol compliance, substantially declined after the first week of the study and were no longer correlated in the remaining study weeks (R2 = 0.53 and p ≤ .01 in week 1, R2 < 0.5 and p > .05 for remaining weeks). Conclusions There is an emerging need for controlled e-cigarette exposures studies, but low compliance in the use of assigned devices and e-liquids may be a limitation that needs to be mitigated in future studies. Implications This study is the first to analyze compliance with instructions to use a standardized e-cigarette device with puff time and duration tracking (controlled e-cigarette) across all subjects and an assigned e-liquid flavor over a 3-week period. We find that protocol compliance, as measured by correlations between e-cigarette use measures and cotinine levels, was only achieved in the first week of the study and declined thereafter. These findings indicate that the assignment of a study device and instruction to only use the study device with assigned e-liquid flavor may not be sufficient to ensure participant compliance with the study protocol. We suggest that additional measures, including behavioral and biological markers, are needed to ensure sole use of the study e-cigarette and e-liquid and to be able to interpret results from controlled e-cigarette studies.

scholarly journals Factors Associated with E-Cigarette Use in U.S. Young Adult Never Smokers of Conventional Cigarettes: A Machine Learning Approach

2020 ◽  
Vol 17 (19) ◽  
pp. 7271
Author(s):  
Nkiruka C. Atuegwu ◽  
Cheryl Oncken ◽  
Reinhard C. Laubenbacher ◽  
Mario F. Perez ◽  
Eric M. Mortensen
Keyword(s):  
Machine Learning ◽  
Young Adult ◽  
Public Awareness ◽  
Behavioral Risk ◽  
Cigarette Use ◽  
Cigarette Smokers ◽  
Factors Associated ◽  
History Of ◽  
Race Ethnicity ◽  
Never Smokers

E-cigarette use is increasing among young adult never smokers of conventional cigarettes, but the awareness of the factors associated with e-cigarette use in this population is limited. The goal of this work was to use machine learning (ML) algorithms to determine the factors associated with current e-cigarette use among US young adult never cigarette smokers. Young adult (18–34 years) never cigarette smokers from the 2016 and 2017 Behavioral Risk Factor Surveillance System (BRFSS) who reported current or never e-cigarette use were used for the analysis (n = 79,539). Variables associated with current e-cigarette use were selected by two ML algorithms (Boruta and Least absolute shrinkage and selection operator (LASSO)). Odds ratios were calculated to determine the association between e-cigarette use and the variables selected by the ML algorithms, after adjusting for age, gender and race/ethnicity and incorporating the BRFSS complex design. The prevalence of e-cigarette use varied across states. Factors previously reported in the literature, such as age, race/ethnicity, alcohol use, depression, as well as novel factors associated with e-cigarette use, such as disabilities, obesity, history of diabetes and history of arthritis were identified. These results can be used to generate further hypotheses for research, increase public awareness and help provide targeted e-cigarette education.

E-cigarette Use Among Young Adult Patients: The Opportunity to Intervene on Risky Lifestyle Behaviors to Reduce Cancer Risk

2021 ◽  
Author(s):  
Grace C. Hillyer ◽  
Meaghan Nazareth ◽  
Sarah Lima ◽  
Karen M. Schmitt ◽  
Andria Reyes ◽  
...  
Keyword(s):  
Young Adult ◽  
Cancer Risk ◽  
Adult Patients ◽  
Cigarette Use ◽  
Lifestyle Behaviors
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