Literature DB >> 31993664

Compliance in Controlled E-cigarette Studies.

Meghan E Rebuli1, Feifei Liu2, Robert Urman2, Jessica L Barrington-Trimis2, Sandrah P Eckel3, Rob McConnell2, Ilona Jaspers1,4.   

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.
© The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

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Year:  2021        PMID: 31993664      PMCID: PMC7885789          DOI: 10.1093/ntr/ntaa017

Source DB:  PubMed          Journal:  Nicotine Tob Res        ISSN: 1462-2203            Impact factor:   4.244


  11 in total

1.  Cigarette smoking and electronic cigarette vaping patterns as a function of e-cigarette flavourings.

Authors:  Mark D Litt; Valerie Duffy; Cheryl Oncken
Journal:  Tob Control       Date:  2016-09-15       Impact factor: 7.552

2.  Determination of the nicotine metabolites cotinine and trans-3'-hydroxycotinine in biologic fluids of smokers and non-smokers using liquid chromatography-tandem mass spectrometry: biomarkers for tobacco smoke exposure and for phenotyping cytochrome P450 2A6 activity.

Authors:  Peyton Jacob; Lisa Yu; Minjiang Duan; Lita Ramos; Olivia Yturralde; Neal L Benowitz
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2010-12-21       Impact factor: 3.205

3.  Determinants associated with E-cigarette adoption and use intention among college students.

Authors:  Hsiao-Yun Lee; Hsien-Chang Lin; Dong-Chul Seo; David K Lohrmann
Journal:  Addict Behav       Date:  2016-10-24       Impact factor: 3.913

4.  Flavorings in electronic cigarettes: an unrecognized respiratory health hazard?

Authors:  Jessica L Barrington-Trimis; Jonathan M Samet; Rob McConnell
Journal:  JAMA       Date:  2014-12-17       Impact factor: 56.272

5.  Impact of e-liquid flavors on e-cigarette vaping behavior.

Authors:  Gideon St Helen; Marian Shahid; Sherman Chu; Neal L Benowitz
Journal:  Drug Alcohol Depend       Date:  2018-05-31       Impact factor: 4.492

6.  Type of E-Cigarette Device Used Among Adolescents and Young Adults: Findings From a Pooled Analysis of Eight Studies of 2166 Vapers.

Authors:  Jessica L Barrington-Trimis; Laura A Gibson; Bonnie Halpern-Felsher; Melissa B Harrell; Grace Kong; Suchitra Krishnan-Sarin; Adam M Leventhal; Alexandra Loukas; Rob McConnell; Scott R Weaver
Journal:  Nicotine Tob Res       Date:  2018-01-05       Impact factor: 4.244

7.  Electronic Cigarette Use and Respiratory Symptoms in Adolescents.

Authors:  Rob McConnell; Jessica L Barrington-Trimis; Kejia Wang; Robert Urman; Hanna Hong; Jennifer Unger; Jonathan Samet; Adam Leventhal; Kiros Berhane
Journal:  Am J Respir Crit Care Med       Date:  2017-04-15       Impact factor: 21.405

8.  E-Cigarette Use Causes a Unique Innate Immune Response in the Lung, Involving Increased Neutrophilic Activation and Altered Mucin Secretion.

Authors:  Boris Reidel; Giorgia Radicioni; Phillip W Clapp; Amina A Ford; Sabri Abdelwahab; Meghan E Rebuli; Prashamsha Haridass; Neil E Alexis; Ilona Jaspers; Mehmet Kesimer
Journal:  Am J Respir Crit Care Med       Date:  2018-02-15       Impact factor: 21.405

9.  E-cigarette use results in suppression of immune and inflammatory-response genes in nasal epithelial cells similar to cigarette smoke.

Authors:  Elizabeth M Martin; Phillip W Clapp; Meghan E Rebuli; Erica A Pawlak; Ellen Glista-Baker; Neal L Benowitz; Rebecca C Fry; Ilona Jaspers
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2016-06-10       Impact factor: 5.464

10.  E-Cigarette Design Preference and Smoking Cessation: A U.S. Population Study.

Authors:  Caroline Chen; Yue-Lin Zhuang; Shu-Hong Zhu
Journal:  Am J Prev Med       Date:  2016-04-20       Impact factor: 5.043

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