title: Educational differentials in cancer mortality and avoidable deaths in Lithuania, 2001-2009: a census-linked study.
abstract: OBJECTIVE
  We investigate relative mortality inequalities by education for detailed cancer sites and provide estimates of deaths which could have been avoided through the elimination of these inequalities.
  
  
  METHODS
  A census-linked dataset based on a follow-up of all residents registered in the 2001 census was used for the analysis. Mortality rate ratios were estimated by employing multivariate Poisson regression models for count data.
  
  
  RESULTS
  An inverse educational gradient was observed for 11 cancer sites among men and for three cancer sites among women. Substantial shares of these cancer deaths would have been avoided if mortality among less educated groups had been the same as mortality among highly educated groups.
  
  
  CONCLUSIONS
  Cancer control plans must consider socioeconomic inequalities and propose ways to improve prevention measures aimed at disadvantaged groups.
authors.affiliation: Max Planck Institute for Demographic Research, Konrad Zuse Str. 1, 18057, Rostock, Germany. jasilionis@demogr.mpg.de.|Lithuanian Social Research Centre, Vilnius, Lithuania. jasilionis@demogr.mpg.de.
authors.forename: Domantas
authors.initials: D
authors.lastname: Jasilionis
authors.affiliation: Lithuanian Social Research Centre, Vilnius, Lithuania.|National Cancer Institute, Vilnius, Lithuania.
authors.forename: Giedre
authors.initials: G
authors.lastname: Smailyte
authors.affiliation: Lithuanian Social Research Centre, Vilnius, Lithuania.|National Cancer Institute, Vilnius, Lithuania.
authors.forename: Ieva
authors.initials: I
authors.lastname: Vincerzevskiene
authors.affiliation: Max Planck Institute for Demographic Research, Konrad Zuse Str. 1, 18057, Rostock, Germany.|New School of Economics, Center for Demographic Studies, Moscow, Russian Federation.
authors.forename: Vladimir M
authors.initials: VM
authors.lastname: Shkolnikov
mesh_terms: D000328:Adult; D000368:Aged; D019352:Censuses; D004522:Educational Status; D005260:Female; D006801:Humans; D008097:Lithuania / Q000453:epidemiology; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D009369:Neoplasms / Q000401:mortality*; D011634:Public Health; D012307:Risk Factors; D012737:Sex Factors; D012959:Socioeconomic Factors
keywords: Avoidable deaths; Cancer; Eastern Europe; Education; Lithuania; Mortality