Literature DB >> 31305091

Examination of a mouthpiece-based topography device for assessing relative reinforcing effects of e-cigarettes: A preliminary study.

Irene Pericot-Valverde1, Jeff S Priest1, Theodore L Wagener2, Diann E Gaalema1.   

Abstract

The assessment of vaping topography has helped to identify characteristics associated with distinct vaping patterns. Available puff topography devices do not alter the subjective effects of vaping. However, one central construct related to drug abuse, unexplored in prior studies, is whether relative reinforcing effects (RRE) of vaping change when using a topography device. We examined the RRE of vaping when individuals vape through an e-cigarette with a mouthpiece topography device attached versus their own e-cigarette. Associations of demand indices for participants' own e-cigarette and for a research e-cigarette with a topography device were also explored. Forty-three e-cigarette users attended 1 experimental session where they completed 2 purchase tasks in different units of consumption, ml and puffs, with their preferred e-cigarette and with an e-cigarette with a mouthpiece. Puff topography was measured in the mouthpiece condition. All four purchase tasks showed the predicted inverse relationship between purchase and price. No differences in most demand indices were observed between both e-cigarettes, except for breakpoint (lowest price that suppresses consumption) and Omax (maximum expenditure) in ml units which both decreased when participants vaped through the mouthpiece device. Demand indices in ml units were more strongly associated. Data from the purchase tasks suggests that the presence of a mouthpiece topography device does not influence the RRE of vaping among e-cigarette users. Demand for e-cigarettes seems more consistent in ml units. Our results further evidence that mouthpiece topography devices represent a valid and reliable instrument to study RRE of e-cigarettes and, by extension, abuse liability. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Entities:  

Mesh:

Substances:

Year:  2020        PMID: 31305091      PMCID: PMC7261006          DOI: 10.1037/pha0000288

Source DB:  PubMed          Journal:  Exp Clin Psychopharmacol        ISSN: 1064-1297            Impact factor:   3.157


  25 in total

Review 1.  Deconstructing relative reinforcing efficacy and situating the measures of pharmacological reinforcement with behavioral economics: a theoretical proposal.

Authors:  W K Bickel; L A Marsch; M E Carroll
Journal:  Psychopharmacology (Berl)       Date:  2000-12       Impact factor: 4.530

2.  Further validation of a cigarette purchase task for assessing the relative reinforcing efficacy of nicotine in college smokers.

Authors:  James MacKillop; James G Murphy; Lara A Ray; Daniel T A Eisenberg; Stephen A Lisman; J Koji Lum; David S Wilson
Journal:  Exp Clin Psychopharmacol       Date:  2008-02       Impact factor: 3.157

3.  Comparison of methods for measurement of smoking behavior: mouthpiece-based computerized devices versus direct observation.

Authors:  Melissa D Blank; Steven Disharoon; Thomas Eissenberg
Journal:  Nicotine Tob Res       Date:  2009-06-11       Impact factor: 4.244

4.  Initial Development of an E-cigarette Purchase Task: A Mixed Methods Study.

Authors:  Rachel N Cassidy; Jennifer W Tidey; Suzanne M Colby; Victoria Long; Stephen T Higgins
Journal:  Tob Regul Sci       Date:  2017-04

5.  Area under the curve as a novel metric of behavioral economic demand for alcohol.

Authors:  Michael Amlung; Ali Yurasek; Kayleigh N McCarty; James MacKillop; James G Murphy
Journal:  Exp Clin Psychopharmacol       Date:  2015-04-20       Impact factor: 3.157

6.  Effects of user puff topography, device voltage, and liquid nicotine concentration on electronic cigarette nicotine yield: measurements and model predictions.

Authors:  Soha Talih; Zainab Balhas; Thomas Eissenberg; Rola Salman; Nareg Karaoghlanian; Ahmad El Hellani; Rima Baalbaki; Najat Saliba; Alan Shihadeh
Journal:  Nicotine Tob Res       Date:  2014-09-03       Impact factor: 4.244

7.  E-cigarette awareness, perceived harmfulness, and ever use among U.S. adults.

Authors:  Irene Pericot-Valverde; Diann E Gaalema; Jeff S Priest; Stephen T Higgins
Journal:  Prev Med       Date:  2017-07-17       Impact factor: 4.018

8.  Signs and symptoms of tobacco withdrawal.

Authors:  J R Hughes; D Hatsukami
Journal:  Arch Gen Psychiatry       Date:  1986-03

9.  Nicotine absorption from electronic cigarette use: comparison between experienced consumers (vapers) and naïve users (smokers).

Authors:  Konstantinos E Farsalinos; Alketa Spyrou; Christos Stefopoulos; Kalliroi Tsimopoulou; Panagiota Kourkoveli; Dimitris Tsiapras; Stamatis Kyrzopoulos; Konstantinos Poulas; Vassilis Voudris
Journal:  Sci Rep       Date:  2015-06-17       Impact factor: 4.379

10.  Effect of e-liquid flavor on electronic cigarette topography and consumption behavior in a 2-week natural environment switching study.

Authors:  R J Robinson; E C Hensel; A A Al-Olayan; J M Nonnemaker; Y O Lee
Journal:  PLoS One       Date:  2018-05-02       Impact factor: 3.240

View more
  3 in total

1.  Validation of an E-cigarette Purchase Task in Advanced Generation Device Users.

Authors:  Rachel N Cassidy; Victoria Long; Jennifer W Tidey; Suzanne M Colby
Journal:  Nicotine Tob Res       Date:  2020-10-08       Impact factor: 4.244

2.  E-Cigarette Demand: Impact of Commodity Definitions and Test-Retest Reliability.

Authors:  Justin C Strickland; Olga A Vsevolozhskaya; William W Stoops
Journal:  Nicotine Tob Res       Date:  2021-02-16       Impact factor: 4.244

3.  Modeling the effect of stress on vaping behavior among young adults: A randomized cross-over pilot study.

Authors:  Irene Pericot-Valverde; Moonseong Heo; Alain H Litwin; Jiajing Niu; Diann E Gaalema
Journal:  Drug Alcohol Depend       Date:  2021-05-30       Impact factor: 4.852

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.