Predictors of smoking cessation after stroke

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 nic...

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Bibliographic Details
Published in:Neurologia i neurochirurgia polska 2010-03, Vol.44 (2), p.181
Main Authors: Sienkiewicz-Jarosz, Halina, Zatorski, Paweł, Witkowski, Grzegorz, Rogowski, Artur, Scińska, Anna, Ryglewicz, Danuta
Format: Article
Language:Polish
Subjects:
Age Factors
Attitude to Health
Behavior, Addictive - epidemiology
Behavior, Addictive - psychology
Comorbidity
Health Promotion
Humans
Prognosis
Smoking - epidemiology
Smoking - psychology
Smoking Cessation - psychology
Smoking Cessation - statistics & numerical data
Stroke - epidemiology
Stroke - psychology
Stroke Rehabilitation
Time Factors
Tobacco Use Disorder - epidemiology
Tobacco Use Disorder - psychology
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Summary: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.
ISSN:0028-3843