title: Is household smoking status associated with expenditure on food at restaurants, alcohol, gambling and insurance? Results from the 1998-99 Household Expenditure Survey, Australia.
abstract: OBJECTIVE
  To examine how household expenditure on food at restaurants, alcohol, gambling and insurance vary between smoking and non-smoking households.
  
  
  METHODS
  Cross sectional survey of households from private dwellings, conducted by the Australian Bureau of Statistics (ABS), using a stratified multistage area sample design.
  
  
  METHODS
  Australia, 1998-99.
  
  
  METHODS
  Nationally representative sample of households (n = 6892).
  
  
  METHODS
  Expenditure on meals at restaurants, alcohol, alcoholic beverages at licensed premises, gambling, and insurance.
  
  
  RESULTS
  The odds of reporting expenditure on restaurant food and health insurance were 20% and 40% smaller for smoking than non-smoking households, respectively. The odds of reporting expenditure on alcohol (not including expenditure at licensed premises), drinking at licensed premises, and gambling were 100%, 50%, and 40% greater for smoking than for non-smoking households, respectively.
  
  
  CONCLUSIONS
  The study suggests that smokers are more likely to engage in risky behaviour. Implementing smoking bans in licensed premises and gambling venues can provide an opportunity to reduce smoking prevalence. Quitting or cutting down smoking can provide opportunities for expenditure on other products or services, and enhance standards of living.
authors.affiliation: VicHealth Centre for Tobacco Control, Cancer Control Research Institute, The Cancer Council Victoria, 100 Drummond Street, Melbourne, Victoria 3053, Australia. mohammad.siahpush@cancervic.org.au
authors.forename: M
authors.initials: M
authors.lastname: Siahpush
authors.forename: R
authors.initials: R
authors.lastname: Borland
authors.forename: M
authors.initials: M
authors.lastname: Scollo
mesh_terms: D000428:Alcohol Drinking / Q000191:economics*; D001315:Australia; D003365:Costs and Cost Analysis / Q000191:economics*; D003430:Cross-Sectional Studies; D005191:Family Characteristics; D005502:Food / Q000191:economics*; D005715:Gambling; D006801:Humans; D007182:Income; D007341:Insurance / Q000191:economics*; D007348:Insurance, Health / Q000191:economics; D007352:Insurance, Life / Q000191:economics; D012147:Restaurants; D012907:Smoking / Q000191:economics*