Literature DB >> 33618196

Comparing video observation to electronic topography device as a method for measuring cigarette puffing behavior.

Melissa Mercincavage1, Joshua L Karelitz2, Catherine L Kreider3, Valentina Souprountchouk3, Benjamin Albelda3, Andrew A Strasser4.   

Abstract

BACKGROUND: Smoking topography, or puffing behavior, is an important measure of how consumers may use tobacco products. However, numerous issues may prevent collection of this data via in-person, electronic topography device (e.g., CReSS). This study compared cigarette topography measures collected by video observation and electronic device.
METHODS: Laboratory smoking sessions were video recorded and scored for 96 cigarettes collected from 34 daily, adult non-treatment-seeking smokers (73.5 % male, 82.4 % White). Participants smoked three of their preferred brand cigarettes using an electronic topography device, providing carbon monoxide (CO) samples before and after each cigarette. Analyses compared measures from both assessment methods and examined associations with device-obtained total puff volume and CO boost.
RESULTS: Agreement analyses indicated robust similarity between methods for measures of puff count and total interpuff interval (Intraclass Correlation Coefficient [ICC]'s > 0.96,p's < 0.001; Bland-Altman [B-A] plotted differences within a priori limit of clinical significance) but diverged on total duration (ICC's > .93, p's < .001, yet B-A plots outside a priori limits). Regardless of assessment method, total duration and puff count (but not total interpuff interval) predicted total puff volume (p's < .001). None predicted CO boost (p's = .07-.90)."
CONCLUSIONS: Although some topography outcomes (e.g., total puff volume) cannot be assessed via video observation, video-observed measures of puff count, total duration, and total interpuff interval are generally interchangeable with their topography device-obtained counterparts. Thus, video observation is likely a sufficient substitute method for assessing cigarette topography when using an electronic device is not possible.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cigarette topography; Puffing behavior; Smoking behavior; Video observation

Mesh:

Substances:

Year:  2021        PMID: 33618196      PMCID: PMC8026715          DOI: 10.1016/j.drugalcdep.2021.108623

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  33 in total

1.  Smoking Through a Topography Device Diminishes Some of the Acute Rewarding Effects of Smoking.

Authors:  Kathryn C Ross; Laura M Juliano
Journal:  Nicotine Tob Res       Date:  2015-07-25       Impact factor: 4.244

2.  Influence of measurement setting and home smoking policy on smoking topography.

Authors:  Kristie M June; Kaila J Norton; Vaughan W Rees; Richard J O'Connor
Journal:  Addict Behav       Date:  2011-08-02       Impact factor: 3.913

3.  The effect of filter vent blocking and smoking topography on carbon monoxide levels in smokers.

Authors:  Andrew A Strasser; Rebecca L Ashare; Lynn T Kozlowski; Wallace B Pickworth
Journal:  Pharmacol Biochem Behav       Date:  2005-10-06       Impact factor: 3.533

4.  Topographical components of smoking behavior.

Authors:  L W Frederiksen; P M Miller; G L Peterson
Journal:  Addict Behav       Date:  1977       Impact factor: 3.913

5.  Assessment of smoking topography generalization across laboratory, clinical, and naturalistic settings.

Authors:  D J Ossip-Klein; J E Martin; B D Lomax; D M Prue; C J Davis
Journal:  Addict Behav       Date:  1983       Impact factor: 3.913

6.  Reduced Nicotine Content Expectancies Affect Initial Responses to Smoking.

Authors:  Melissa Mercincavage; Joshua M Smyth; Andrew A Strasser; Steven A Branstetter
Journal:  Tob Regul Sci       Date:  2016-10-01

7.  Behavioral filter vent blocking on the first cigarette of the day predicts which smokers of light cigarettes will increase smoke exposure from blocked vents.

Authors:  Andrew A Strasser; Kathy Z Tang; Paul M Sanborn; Jon Y Zhou; Lynn T Kozlowski
Journal:  Exp Clin Psychopharmacol       Date:  2009-12       Impact factor: 3.157

8.  A Randomized Controlled Trial of Progressively Reduced Nicotine Content Cigarettes on Smoking Behaviors, Biomarkers of Exposure, and Subjective Ratings.

Authors:  Melissa Mercincavage; Valentina Souprountchouk; Kathy Z Tang; Rachel L Dumont; E Paul Wileyto; Steven G Carmella; Stephen S Hecht; Andrew A Strasser
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-04-27       Impact factor: 4.254

9.  Puffing topography and nicotine intake of electronic cigarette users.

Authors:  Rachel Z Behar; My Hua; Prue Talbot
Journal:  PLoS One       Date:  2015-02-09       Impact factor: 3.240

10.  Association of Reduced Nicotine Content Cigarettes With Smoking Behaviors and Biomarkers of Exposure Among Slow and Fast Nicotine Metabolizers: A Nonrandomized Clinical Trial.

Authors:  Melissa Mercincavage; Kirsten Lochbuehler; E Paul Wileyto; Neal L Benowitz; Rachel F Tyndale; Caryn Lerman; Andrew A Strasser
Journal:  JAMA Netw Open       Date:  2018-08-24
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