<?xml version="1.0" encoding="UTF-8"?>
<collection xmlns="http://www.loc.gov/MARC21/slim">
 <record>
  <leader>     caa a22        4500</leader>
  <controlfield tag="001">60622257X</controlfield>
  <controlfield tag="003">CHVBK</controlfield>
  <controlfield tag="005">20210128101134.0</controlfield>
  <controlfield tag="007">cr unu---uuuuu</controlfield>
  <controlfield tag="008">210128e20151201xx      s     000 0 eng  </controlfield>
  <datafield tag="024" ind1="7" ind2="0">
   <subfield code="a">10.1007/s00038-015-0745-0</subfield>
   <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="035" ind1=" " ind2=" ">
   <subfield code="a">(NATIONALLICENCE)springer-10.1007/s00038-015-0745-0</subfield>
  </datafield>
  <datafield tag="245" ind1="0" ind2="0">
   <subfield code="a">Educational differentials in cancer mortality and avoidable deaths in Lithuania, 2001-2009: a census-linked study</subfield>
   <subfield code="h">[Elektronische Daten]</subfield>
   <subfield code="c">[Domantas Jasilionis, Giedre Smailyte, Ieva Vincerzevskiene, Vladimir Shkolnikov]</subfield>
  </datafield>
  <datafield tag="520" ind1="3" ind2=" ">
   <subfield code="a">Objectives: 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.</subfield>
  </datafield>
  <datafield tag="540" ind1=" " ind2=" ">
   <subfield code="a">Swiss School of Public Health (SSPH+), 2015</subfield>
  </datafield>
  <datafield tag="690" ind1=" " ind2="7">
   <subfield code="a">Cancer</subfield>
   <subfield code="2">nationallicence</subfield>
  </datafield>
  <datafield tag="690" ind1=" " ind2="7">
   <subfield code="a">Mortality</subfield>
   <subfield code="2">nationallicence</subfield>
  </datafield>
  <datafield tag="690" ind1=" " ind2="7">
   <subfield code="a">Education</subfield>
   <subfield code="2">nationallicence</subfield>
  </datafield>
  <datafield tag="690" ind1=" " ind2="7">
   <subfield code="a">Avoidable deaths</subfield>
   <subfield code="2">nationallicence</subfield>
  </datafield>
  <datafield tag="690" ind1=" " ind2="7">
   <subfield code="a">Eastern Europe</subfield>
   <subfield code="2">nationallicence</subfield>
  </datafield>
  <datafield tag="690" ind1=" " ind2="7">
   <subfield code="a">Lithuania</subfield>
   <subfield code="2">nationallicence</subfield>
  </datafield>
  <datafield tag="700" ind1="1" ind2=" ">
   <subfield code="a">Jasilionis</subfield>
   <subfield code="D">Domantas</subfield>
   <subfield code="u">Max Planck Institute for Demographic Research, Konrad Zuse Str. 1, 18057, Rostock, Germany</subfield>
   <subfield code="4">aut</subfield>
  </datafield>
  <datafield tag="700" ind1="1" ind2=" ">
   <subfield code="a">Smailyte</subfield>
   <subfield code="D">Giedre</subfield>
   <subfield code="u">Lithuanian Social Research Centre, Vilnius, Lithuania</subfield>
   <subfield code="4">aut</subfield>
  </datafield>
  <datafield tag="700" ind1="1" ind2=" ">
   <subfield code="a">Vincerzevskiene</subfield>
   <subfield code="D">Ieva</subfield>
   <subfield code="u">Lithuanian Social Research Centre, Vilnius, Lithuania</subfield>
   <subfield code="4">aut</subfield>
  </datafield>
  <datafield tag="700" ind1="1" ind2=" ">
   <subfield code="a">Shkolnikov</subfield>
   <subfield code="D">Vladimir</subfield>
   <subfield code="u">Max Planck Institute for Demographic Research, Konrad Zuse Str. 1, 18057, Rostock, Germany</subfield>
   <subfield code="4">aut</subfield>
  </datafield>
  <datafield tag="773" ind1="0" ind2=" ">
   <subfield code="t">International Journal of Public Health</subfield>
   <subfield code="d">Springer International Publishing</subfield>
   <subfield code="g">60/8(2015-12-01), 919-926</subfield>
   <subfield code="x">1661-8556</subfield>
   <subfield code="q">60:8&lt;919</subfield>
   <subfield code="1">2015</subfield>
   <subfield code="2">60</subfield>
   <subfield code="o">38</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2="0">
   <subfield code="u">https://doi.org/10.1007/s00038-015-0745-0</subfield>
   <subfield code="q">text/html</subfield>
   <subfield code="z">Onlinezugriff via DOI</subfield>
  </datafield>
  <datafield tag="898" ind1=" " ind2=" ">
   <subfield code="a">BK010053</subfield>
   <subfield code="b">XK010053</subfield>
   <subfield code="c">XK010000</subfield>
  </datafield>
  <datafield tag="900" ind1=" " ind2="7">
   <subfield code="a">Metadata rights reserved</subfield>
   <subfield code="b">Springer special CC-BY-NC licence</subfield>
   <subfield code="2">nationallicence</subfield>
  </datafield>
  <datafield tag="908" ind1=" " ind2=" ">
   <subfield code="D">1</subfield>
   <subfield code="a">research-article</subfield>
   <subfield code="2">jats</subfield>
  </datafield>
  <datafield tag="949" ind1=" " ind2=" ">
   <subfield code="B">NATIONALLICENCE</subfield>
   <subfield code="F">NATIONALLICENCE</subfield>
   <subfield code="b">NL-springer</subfield>
  </datafield>
  <datafield tag="950" ind1=" " ind2=" ">
   <subfield code="B">NATIONALLICENCE</subfield>
   <subfield code="P">856</subfield>
   <subfield code="E">40</subfield>
   <subfield code="u">https://doi.org/10.1007/s00038-015-0745-0</subfield>
   <subfield code="q">text/html</subfield>
   <subfield code="z">Onlinezugriff via DOI</subfield>
  </datafield>
  <datafield tag="950" ind1=" " ind2=" ">
   <subfield code="B">NATIONALLICENCE</subfield>
   <subfield code="P">700</subfield>
   <subfield code="E">1-</subfield>
   <subfield code="a">Jasilionis</subfield>
   <subfield code="D">Domantas</subfield>
   <subfield code="u">Max Planck Institute for Demographic Research, Konrad Zuse Str. 1, 18057, Rostock, Germany</subfield>
   <subfield code="4">aut</subfield>
  </datafield>
  <datafield tag="950" ind1=" " ind2=" ">
   <subfield code="B">NATIONALLICENCE</subfield>
   <subfield code="P">700</subfield>
   <subfield code="E">1-</subfield>
   <subfield code="a">Smailyte</subfield>
   <subfield code="D">Giedre</subfield>
   <subfield code="u">Lithuanian Social Research Centre, Vilnius, Lithuania</subfield>
   <subfield code="4">aut</subfield>
  </datafield>
  <datafield tag="950" ind1=" " ind2=" ">
   <subfield code="B">NATIONALLICENCE</subfield>
   <subfield code="P">700</subfield>
   <subfield code="E">1-</subfield>
   <subfield code="a">Vincerzevskiene</subfield>
   <subfield code="D">Ieva</subfield>
   <subfield code="u">Lithuanian Social Research Centre, Vilnius, Lithuania</subfield>
   <subfield code="4">aut</subfield>
  </datafield>
  <datafield tag="950" ind1=" " ind2=" ">
   <subfield code="B">NATIONALLICENCE</subfield>
   <subfield code="P">700</subfield>
   <subfield code="E">1-</subfield>
   <subfield code="a">Shkolnikov</subfield>
   <subfield code="D">Vladimir</subfield>
   <subfield code="u">Max Planck Institute for Demographic Research, Konrad Zuse Str. 1, 18057, Rostock, Germany</subfield>
   <subfield code="4">aut</subfield>
  </datafield>
  <datafield tag="950" ind1=" " ind2=" ">
   <subfield code="B">NATIONALLICENCE</subfield>
   <subfield code="P">773</subfield>
   <subfield code="E">0-</subfield>
   <subfield code="t">International Journal of Public Health</subfield>
   <subfield code="d">Springer International Publishing</subfield>
   <subfield code="g">60/8(2015-12-01), 919-926</subfield>
   <subfield code="x">1661-8556</subfield>
   <subfield code="q">60:8&lt;919</subfield>
   <subfield code="1">2015</subfield>
   <subfield code="2">60</subfield>
   <subfield code="o">38</subfield>
  </datafield>
 </record>
</collection>
