Literature DB >> 18569761

The reliability and validity of self-reported puffing behavior: evidence from a cross-national study.

Lion Shahab1, David Hammond, Richard J O'Connor, K Michael Cummings, Ron Borland, Bill King, Ann McNeill.   

Abstract

Self-reported puffing behavior has considerable potential as an indicator of smoking intensity, particularly in survey research evaluating population-based changes in smoking patterns. However, little is known about the reliability and validity of self-reported puffing behavior. This study compared smokers' perceptions of their puffing behavior with measures of both machine-determined puffing behavior and nicotine uptake to assess the utility of self-report. We assessed self-reported puffing behavior as well as demographic and smoking characteristics of 118 smokers from Australia, Canada, the United Kingdom, and the United States. At two visits, participants were asked to provide a saliva sample and to smoke a cigarette through a portable smoking topography device, the CReSSmicro, to measure puffing behavior. Saliva samples were assayed for cotinine, a measure of nicotine uptake, to provide estimates of smoke exposure. Intraclass coefficients for all measures of self-reported general puffing behavior were above .6, indicating that self-reported measures had fair-to-good test-retest reliability. Self-report, in particular of interpuff interval and number of cigarette puffs, was correlated only moderately with machine-determined puffing measures (.2<r<.4), and no self-report measure related to smoke exposure as measured by cotinine. Self-reported measures of puffing behavior appear to be fairly reliable but are correlated only weakly with objective measures of smoking topography. Results suggest that smokers have a better perception of the time spent between puffs and of the number of puffs taken than of the intensity and depth of each puff or their actual smoke exposure.

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Year:  2008        PMID: 18569761     DOI: 10.1080/14622200802027156

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


  11 in total

1.  Effect of differing levels of tobacco-specific nitrosamines in cigarette smoke on the levels of biomarkers in smokers.

Authors:  David L Ashley; Richard J O'Connor; John T Bernert; Clifford H Watson; Gregory M Polzin; Ram B Jain; David Hammond; Dorothy K Hatsukami; Gary A Giovino; K Michael Cummings; Ann McNeill; Lion Shahab; Bill King; Geoffrey T Fong; Liqin Zhang; Yang Xia; Xizheng Yan; Joan M McCraw
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-05-25       Impact factor: 4.254

2.  Smokers' self-reported responses to the introduction of reduced ignition propensity (RIP) cigarettes.

Authors:  Andrew B Seidenberg; Vaughan W Rees; Hillel R Alpert; Richard J O'Connor; Gary A Giovino; Andrew Hyland; Gregory N Connolly
Journal:  Tob Control       Date:  2011-07-12       Impact factor: 7.552

3.  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

4.  Smoking topography and biomarkers of exposure among Japanese smokers: associations with cigarette emissions obtained using machine smoking protocols.

Authors:  Mariko Matsumoto; Yohei Inaba; Ichiro Yamaguchi; Osamu Endo; David Hammond; Shigehisa Uchiyama; Gen Suzuki
Journal:  Environ Health Prev Med       Date:  2012-07-19       Impact factor: 3.674

Review 5.  Scientific assessment of the use of sugars as cigarette tobacco ingredients: a review of published and other publicly available studies.

Authors:  Ewald Roemer; Matthias K Schorp; Jean-Jacques Piadé; Jeffrey I Seeman; Donald E Leyden; Hans-Juergen Haussmann
Journal:  Crit Rev Toxicol       Date:  2012-01-21       Impact factor: 5.635

6.  The reliability of puff topography and subjective responses during ad lib smoking of a single cigarette.

Authors:  Kenneth A Perkins; Joshua L Karelitz; Grace E Giedgowd; Cynthia A Conklin
Journal:  Nicotine Tob Res       Date:  2011-10-29       Impact factor: 4.244

7.  A CNN-LSTM neural network for recognition of puffing in smoking episodes using wearable sensors.

Authors:  Volkan Y Senyurek; Masudul H Imtiaz; Prajakta Belsare; Stephen Tiffany; Edward Sazonov
Journal:  Biomed Eng Lett       Date:  2020-01-30

8.  Computation of Cigarette Smoke Exposure Metrics From Breathing.

Authors:  Prajakta Belsare; Volkan Yusuf Senyurek; Masudul H Imtiaz; Stephen Tiffany; Edward Sazonov
Journal:  IEEE Trans Biomed Eng       Date:  2019-12-10       Impact factor: 4.538

9.  A Procedure to Standardize Puff Topography During Evaluations of Acute Tobacco or Electronic Cigarette Exposure.

Authors:  Kenneth A Perkins; Joshua L Karelitz
Journal:  Nicotine Tob Res       Date:  2020-04-21       Impact factor: 4.244

10.  Comparison of Puff Volume With Cigarettes per Day in Predicting Nicotine Uptake Among Daily Smokers.

Authors:  Nicolle M Krebs; Allshine Chen; Junjia Zhu; Dongxiao Sun; Jason Liao; Andrea L Stennett; Joshua E Muscat
Journal:  Am J Epidemiol       Date:  2016-06-16       Impact factor: 4.897

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