Published: 27 November 2022

Authors: Henry M. Marshall, Mounavi Vemula, Karen Hay, Elizabeth McCaul, Linda Passmore, Ian A. Yang, Rayleen V. Bowman, Kwun M. Fong

Source: This abstract has been sourced from NZ Respiratory Research Review Issue 205

    Abstract

    Background

    Smoking cessation is an important screening component, but the evidence base to inform implementation is lacking. We report longitudinal smoking behavior in an Australian screening cohort and examine predictor variables associated with continued smoking.

    Methods

    Healthy current or former smokers (quit less than 15 years and ≥30-pack year smoking history) aged 60–74 years underwent CT screening at baseline, year 1 and year 2. Participants received brief smoking cessation advice and generic Quitline materials. Smoking status was self-reported every 6 months for 5 years. Mediators of smoking behavior, adjusted for sociodemographic, health and scan variables were explored using logistic regression modeling.

    Results

    Two hundred thirty-five participants were analyzed. One hundred eight (46%) were current smokers at enrolment. At baseline, current smokers’ mean Fagerström Test for Nicotine Dependence was 4.9, and they had higher levels of lung cancer-specific distress and passive smoke exposure than former smokers. At 36 months, 33% of baseline smokers achieved sustained (≥6 months) smoking abstinence. Five (4%) former smokers relapsed at any point during the study. Continued smoking was positively associated with greater nicotine dependence and smoking pack-years, and negatively associated with cardiovascular disease, stroke, and lung cancer family history.

    Conclusions

    This study provides the first data on smoking cessation rates in Australian lung cancer screenees and supports screening as a teachable moment. We identify several factors that identify smokers who may require more intensive smoking cessation interventions and could be used to develop effective smoking cessation as part of lung cancer screening, tailored to individual risk profiles.

    Link to abstract

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