Literature DB >> 17654299

Digital image analysis of cigarette filter staining to estimate smoke exposure.

Richard J O'Connor1, Lynn T Kozlowski, David Hammond, Tammy T Vance, Joseph P Stitt, K Michael Cummings.   

Abstract

Sufficient variation exists in how people smoke each cigarette that the number of cigarettes smoked daily and the years of smoking represent only crude measures of exposure to the toxins in tobacco smoke. Previous research has shown that spent cigarette filters can provide information about how individuals smoke cigarettes. Digital image analysis has been used to identify filter vent blocking and may also provide an inexpensive, unobtrusive index of overall smoke exposure. A total of 1,124 cigarette butts smoked by 53 participants in a smoking topography study were imaged and analyzed. Imaging showed test-retest reliability of more than 95% among those smoking their own brand. Mean color scores (CIELAB system) showed acceptable stability (>.60) across days, paralleling the basic stability of smoking topography measures across waves. A principal components scoring showed that center tar staining, edge tar staining, and their interaction were significantly related to total smoke volume, accounting for 73% of the variation. Estimated smoke volume was a significant predictor of salivary cotinine when accounting for cigarettes smoked per day. These data suggest that digital image analysis of spent cigarette butts can serve as a reliable proxy measure of total smoke volume.

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Year:  2007        PMID: 17654299     DOI: 10.1080/14622200701485026

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


  9 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.  Transdisciplinary Tobacco Use Research Centers: research achievements and future implications.

Authors:  Timothy B Baker; K Michael Cummings; Dorothy K Hatsukami; C Anderson Johnson; Caryn Lerman; Raymond Niaura; Stephanie S O'Malley
Journal:  Nicotine Tob Res       Date:  2009-07-24       Impact factor: 4.244

Review 3.  [Nicotine in plastic surgery : a review].

Authors:  K Knobloch; A Gohritz; E Reuss; P M Vogt
Journal:  Chirurg       Date:  2008-10       Impact factor: 0.955

Review 4.  Cigarette filter-based assays as proxies for toxicant exposure and smoking behavior--a literature review.

Authors:  John L Pauly; Richard J O'Connor; Geraldine M Paszkiewicz; K Michael Cummings; Mirjana V Djordjevic; Peter G Shields
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-12       Impact factor: 4.254

5.  ITC "spit and butts" pilot study: the feasibility of collecting saliva and cigarette butt samples from smokers to evaluate policy.

Authors:  Brian V Fix; Richard O'Connor; David Hammond; Bill King; Ann McNeill; James Thrasher; Marcelo Boado; K Michael Cummings; Hua-Hie Yong; Mary E Thompson; Andrew Hyland
Journal:  Nicotine Tob Res       Date:  2010-01-15       Impact factor: 4.244

6.  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

7.  PREP advertisement features affect smokers' beliefs regarding potential harm.

Authors:  A A Strasser; K Z Tang; M D Tuller; J N Cappella
Journal:  Tob Control       Date:  2008-09       Impact factor: 7.552

8.  Do non-daily smokers compensate for reduced cigarette consumption when smoking very-low-nicotine-content cigarettes?

Authors:  Saul Shiffman; Jason M Mao; Brenda F Kurland; Sarah M Scholl
Journal:  Psychopharmacology (Berl)       Date:  2018-10-05       Impact factor: 4.530

9.  Impact of non-linear smoking effects on the identification of gene-by-smoking interactions in COPD genetics studies.

Authors:  P J Castaldi; D L Demeo; C P Hersh; D A Lomas; I C Soerheim; A Gulsvik; P Bakke; S Rennard; P Pare; J Vestbo; E K Silverman
Journal:  Thorax       Date:  2010-12-16       Impact factor: 9.139

  9 in total

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