title: Smoking patterns and predictors of smoking cessation in elderly populations in Lebanon.
abstract: OBJECTIVE
  To investigate smoking patterns in an elderly, low-income population and to identify predictors of smoking cessation, in addition to analyzing the importance of smoking in relation to other risk factors for hospitalization.
  
  
  METHODS
  The data were part of an urban health study conducted among 740 individuals aged > or = 60 years in three suburban communities of low socio-economic status in Beirut, one of them a refugee camp. A detailed interview schedule was administered that included comprehensive social and health information.
  
  
  RESULTS
  The overall prevalence of current smokers was 28.1%. Almost half of the group were ever smokers, of whom 44% had quit smoking when they experienced negative health effects. Having at least one chronic illness and having a functional disability significantly increased the odds of smoking cessation. In addition, being a former smoker increased the likelihood of hospital admission.
  
  
  CONCLUSIONS
  This study is of particular importance, as it has implications for similar low-income and refugee communities in the region and elsewhere. There is a need for more concerted efforts by public health officials to target elderly individuals as a group for smoking cessation interventions, particularly now that mortality and health benefits have been well documented.
authors.affiliation: Department of Epidemiology and Population Health, Faculty of Health Sciences, American University of Beirut, PO Box 11-0236, Beirut, Lebanon. mchaaya@aub.edu.lb
authors.forename: M
authors.initials: M
authors.lastname: Chaaya
authors.forename: A
authors.initials: A
authors.lastname: Mehio-Sibai
authors.forename: S
authors.initials: S
authors.lastname: El-Chemaly
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D007861:Lebanon / Q000453:epidemiology; D008297:Male; D008875:Middle Aged; D010343:Patient Admission; D011237:Predictive Value of Tests; D015995:Prevalence; D012307:Risk Factors; D012907:Smoking / Q000009:adverse effects / Q000453:epidemiology* / Q000628:therapy*; D016540:Smoking Cessation / Q000706:statistics & numerical data; D012923:Social Class; D014505:Urban Population / Q000706:statistics & numerical data