Awareness of factors shaping smokers phenotypes is important for identifying potential relapsers and to improve success in smoking cessation. Identifying individual characteristics that predict success could help to match smokers with a strategy more likely to help them quit. This knowledge could help to optimize health care resources and refine state funded tobacco policies. Delivering on these aspirations requires an improved understanding of success factors in well characterized cohorts of smokers. Currently, no accurate determinants of smoking cessation have been found. Socio-demographic features, psychological factors, smoking history, and severity of nicotine dependence have been extensively investigated both in aided and unaided smoking cessation, but results are not clear-cut [1]. Predictors of smoking cessation are derived from very heterogeneous populations, factors usually explored may not be the significant ones, and study outcomes are not always clearly defined.
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