International Journal of Public Health

, Volume 60, Issue 8, pp 919–926 | Cite as

Educational differentials in cancer mortality and avoidable deaths in Lithuania, 2001–2009: a census-linked study

  • Domantas Jasilionis
  • Giedre Smailyte
  • Ieva Vincerzevskiene
  • Vladimir M. Shkolnikov
Original Article



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.


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.


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.


Cancer control plans must consider socioeconomic inequalities and propose ways to improve prevention measures aimed at disadvantaged groups.


Cancer Mortality Education Avoidable deaths Eastern Europe Lithuania 



This study was funded by the European Social Fund under the Global Grant measure (Grant No. VP1-3.1-SMM-07-K-02-067). The authors would like to thank Statistics Lithuania for compiling and providing the high-quality, aggregated census-linked dataset used in this study. We are also very grateful to Prof. V. Stankuniene (Lithuanian Social Research Centre) and Dalia Ambrozaitiene (Statistics Lithuania) for their contributions to the census-linked data project.

Compliance with ethical standards

Conflict of interest


Ethical standard

The authors declare that they have no conflict of interest.

Supplementary material

38_2015_745_MOESM1_ESM.pdf (289 kb)
Supplementary material 1 (PDF 289 kb)


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Copyright information

© Swiss School of Public Health (SSPH+) 2015

Authors and Affiliations

  • Domantas Jasilionis
    • 1
    • 2
  • Giedre Smailyte
    • 2
    • 3
  • Ieva Vincerzevskiene
    • 2
    • 3
  • Vladimir M. Shkolnikov
    • 1
    • 4
  1. 1.Max Planck Institute for Demographic ResearchRostockGermany
  2. 2.Lithuanian Social Research CentreVilniusLithuania
  3. 3.National Cancer InstituteVilniusLithuania
  4. 4.New School of Economics, Center for Demographic StudiesMoscowRussian Federation

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