title: Digital image analysis of cigarette filter staining to estimate smoke exposure.
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.
authors.affiliation: Department of Health Behavior, Roswell Park Cancer Institute, Buffalo, NY 14263, USA. richard.oconnor@roswellpark.org
authors.forename: Richard J
authors.initials: RJ
authors.lastname: O'Connor
authors.forename: Lynn T
authors.initials: LT
authors.lastname: Kozlowski
authors.forename: David
authors.initials: D
authors.lastname: Hammond
authors.forename: Tammy T
authors.initials: TT
authors.lastname: Vance
authors.forename: Joseph P
authors.initials: JP
authors.lastname: Stitt
authors.forename: K Michael
authors.initials: KM
authors.lastname: Cummings
mesh_terms: D002273:Carcinogens / Q000032:analysis*; D003367:Cotinine / Q000032:analysis*; D005374:Filtration; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D012906:Smoke / Q000032:analysis*; D012907:Smoking; D013638:Tars / Q000032:analysis*
chemical_list: D002273:Carcinogens; D012906:Smoke; D013638:Tars; D003367:Cotinine