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Cigarette smoking and cancer risk: Modeling total exposure and intensity

  • Jay H. Lubin
  • , Michael C.R. Alavanja
  • , Neil Caporaso
  • , Linda M. Brown
  • , Ross C. Brownson
  • , R. William Field
  • , Montserrat Garcia-Closas
  • , Patricia Hartge
  • , Michael Hauptmann
  • , Richard B. Hayes
  • , Ruth Kleinerman
  • , Manolis Kogevinas
  • , Daniel Krewski
  • , Bryan Langholz
  • , Ernest G. Létourneau
  • , Charles F. Lynch
  • , Núria Malats
  • , Dale P. Sandler
  • , Angelika Schaffrath-Rosario
  • , Janet B. Schoenberg
  • Debra T. Silverman, Zuoyuan Wang, H. Erich Wichmann, Homer B. Wilcox, Jan M. Zielinski

Research output: Contribution to journalArticlepeer-review

Abstract

A recent analysis showed that the excess odds ratio (EOR) for lung cancer due to smoking can be modeled by a function which is linear in total pack-years and exponential in the logarithm of smoking intensity and its square. Below 15-20 cigarettes per day, the EOR/pack-year increased with intensity (direct exposure rate or enhanced potency effect), suggesting greater risk for a total exposure delivered at higher intensity (for a shorter duration) than for an equivalent exposure delivered at lower intensity. Above 20 cigarettes per day, the EOR/pack-year decreased with increasing intensity (inverse exposure rate or reduced potency effect), suggesting greater risk for a total exposure delivered at lower intensity (for a longer duration) than for an equivalent exposure delivered at higher intensity. The authors applied this model to data from 10 case-control studies of cancer, including cancers of the lung, bladder, oral cavity, pancreas, and esophagus. At lower intensities, there was enhanced potency for several cancer sites, but narrow ranges for pack-years increased uncertainty, precluding definitive conclusions. At higher intensities, there was a consistent reduced potency effect across studies. The intensity effects were statistically homogeneous, indicating that after accounting for risk from total pack-years, intensity patterns were comparable across the diverse cancer sites.

Original languageEnglish
Pages (from-to)479-489
Number of pages11
JournalAmerican journal of epidemiology
Volume166
Issue number4
DOIs
StatePublished - Jul 2007

Keywords

  • Case-control studies
  • Epidemiologic methods
  • Models, statistical
  • Neoplasms
  • Risk
  • Smoking

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