[Predictors of smoking cessation after stroke]

Abstract

Cigarette smoking is a major modifiable risk factor for stroke. Smoking dose dependently increases the risk of stroke, especially in patients below 75 years of age. Although smoking cessation is considered as one of the most effective methods of secondary stroke prevention, little is known about nicotine dependence and predictors of smoking cessation after stroke. Identification of such predictors could facilitate the development of anti-smoking interventions in post-stroke patients. Results of previous studies showed that smoking cessation is determined by the interplay of multiple factors, including sociodemographic (gender, age, race, living conditions, employment), clinical (functional status), psychobiological (nicotine dependence, depressed mood) and environmental (smoking household members) factors. Limitations of most studies were relatively small sample sizes and lack of verification of smoking status with a biochemical marker (e.g. expired CO). The aim of this article is to summarize current knowledge about predictors of smoking cessation after stroke.