Evidence map›Paper›PMID 26427860›Full record

ArticleInternational journal of public health2015

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

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Article in International journal of public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Age-specific cancer mortality trends in 16 countries.International journal of public health · 2016
    Article
  4. Article
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Domantas JasilionisMax Planck Institute for Demographic Research, Konrad Zuse Str. 1, 18057, Rostock, Germany. jasilionis@demogr.mpg.de.
Giedre SmailyteLithuanian Social Research Centre, Vilnius, Lithuania.
Ieva VincerzevskieneLithuanian Social Research Centre, Vilnius, Lithuania.
Vladimir M ShkolnikovMax Planck Institute for Demographic Research, Konrad Zuse Str. 1, 18057, Rostock, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe 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.

methodsA 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.

resultsAn 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.

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

Indexed as

Educational StatusAdultAgedCensusesFemaleHumansLithuaniaMaleMiddle AgedMultivariate AnalysisNeoplasmsPublic HealthRisk FactorsSex FactorsSocioeconomic FactorsAvoidable deathsCancerEastern EuropeEducationLithuaniaMortality

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.