Literature DB >> 18077153

Educational inequalities in cancer mortality differ greatly between countries around the Baltic Sea.

Nicole P M Ezendam1, Irina Stirbu, Mall Leinsalu, Olle Lundberg, Ramune Kalediene, Bogdan Wojtyniak, Pekka Martikainen, Johan Mackenbach, Anton Kunst.   

Abstract

OBJECTIVE: To compare educational inequalities in cancer mortality between Poland, Lithuania, Estonia, Finland and Sweden.
METHODS: Data are either follow-up or unlinked cross-sectional studies. The relative index of inequality (RII) and the slope index of inequality (SII) are calculated to express the magnitude of mortality differences according to educational level for all cancers and for specific cancers.
RESULTS: Large educational inequalities in total cancer mortality were observed, particularly amongst men. Inequalities in upper aero-digestive tract and lung cancer in men and cervix cancer in women were larger in Poland, Lithuania and Estonia, whereas inequalities in lung cancer in women were larger in Finland and Sweden.
CONCLUSIONS: Countries of the Baltic Sea region differ strongly with regard to the magnitude and pattern of the educational inequalities in cancer mortality.

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Mesh:

Year:  2008        PMID: 18077153     DOI: 10.1016/j.ejca.2007.11.015

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  9 in total

1.  Educational inequalities in tuberculosis mortality in sixteen European populations.

Authors:  J L Álvarez; A E Kunst; M Leinsalu; M Bopp; B H Strand; G Menvielle; O Lundberg; P Martikainen; P Deboosere; R Kalediene; B Artnik; J P Mackenbach; J H Richardus
Journal:  Int J Tuberc Lung Dis       Date:  2011-11       Impact factor: 2.373

2.  Socioeconomic inequalities in homicide mortality: a population-based comparative study of 12 European countries.

Authors:  Andrew Stickley; Mall Leinsalu; Anton E Kunst; Matthias Bopp; Bjørn Heine Strand; Pekka Martikainen; Olle Lundberg; Katalin Kovács; Barbara Artnik; Ramune Kalediene; Jitka Rychtaříková; Bogdan Wojtyniak; Johan P Mackenbach
Journal:  Eur J Epidemiol       Date:  2012-07-25       Impact factor: 8.082

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

Authors:  Domantas Jasilionis; Giedre Smailyte; Ieva Vincerzevskiene; Vladimir M Shkolnikov
Journal:  Int J Public Health       Date:  2015-10-01       Impact factor: 3.380

4.  The incidence and mortality of lung cancer and their relationship to development in Asia.

Authors:  Reza Pakzad; Abdollah Mohammadian-Hafshejani; Mahshid Ghoncheh; Iraj Pakzad; Hamid Salehiniya
Journal:  Transl Lung Cancer Res       Date:  2015-12

5.  Internal consistency of demographic assumptions in the shared socioeconomic pathways.

Authors:  Leiwen Jiang
Journal:  Popul Environ       Date:  2014

6.  Reliability and predictive validity of two scales of self-rated health in China: results from China Health and Retirement Longitudinal Study (CHARLS).

Authors:  Yuwei Pan; Jitka Pikhartova; Martin Bobak; Hynek Pikhart
Journal:  BMC Public Health       Date:  2022-10-05       Impact factor: 4.135

7.  The impact of sociodemographic factors on the utilization of radiation therapy in breast cancer patients in Estonia: a register-based study.

Authors:  Fereshteh Shahrabi Farahani; Keiu Paapsi; Kaire Innos
Journal:  Int J Equity Health       Date:  2021-06-30

8.  Educational inequalities in premature mortality in Poland, 2002-2011: a population-based cross-sectional study.

Authors:  Małgorzata Pikala; Monika Burzyn Ska; Robert Pikala; Marek Bryła; Irena Maniecka-Bryła
Journal:  BMJ Open       Date:  2016-09-27       Impact factor: 2.692

9.  Socioeconomic inequalities in all-cause mortality in the Czech Republic, Russia, Poland and Lithuania in the 2000s: findings from the HAPIEE Study.

Authors:  Hadewijch Vandenheede; Olga Vikhireva; Hynek Pikhart; Ruzena Kubinova; Sofia Malyutina; Andrzej Pajak; Abdonas Tamosiunas; Anne Peasey; Galina Simonova; Roman Topor-Madry; Michael Marmot; Martin Bobak
Journal:  J Epidemiol Community Health       Date:  2013-11-13       Impact factor: 6.286

  9 in total

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