BACKGROUND: The association between @entity2 and smoking is well documented. However there is less information about the estimation of its attributable fraction and population burden. AIM: To estimate the attributable risk and population attributable risk of smoking among @entity2 @entity1 attended in Public Health Services at Santiago. MATERIAL AND METHODS: A case control study matched by age was carried out. Crude and adjusted attributable and population attributable risks were estimated, controlling for potential confounders and interaction variables. RESULTS: Mean age for cases was 63 years for @entity1 and 67 years for @entity1 . @entity2 @entity1 had a higher smoking prevalence than controls (64.5% and 39.7% respectively among @entity1 ; 95.8 and 67.1 respectively among @entity1 p<0.01). Heavy smoker proportion was 4 times higher among @entity1 that smoked 5 to 10 years more ( @entity1 and @entity1 respectively, p<0.01) and 3 times more cigarettes per day (p<0.01). Attributable risk for @entity1 was 64.4% and 90.4% for @entity1 . Population attributable fraction was 41.9% and 86.3% for @entity1 and @entity1 , respectively. Projecting these estimates to the Chilean population, approximately 1975 new cases per year of @entity2 caused by smoking will be diagnosed. CONCLUSIONS: Attributable risks of smoking for @entity2 are high and significant, even when they are adjusted by confounding variables.

[Smoking and XXXX : attributable risks according to gender].

@entity1 :: ('9606', 'Species') :: ['women', 'patients', 'men'] @entity2 :: ('MESH:D008175', 'Disease') :: ['Lung Cancer']
@entity2 :: (MESH:D008175,Disease) :: ['lung cancer']
