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Trends in cancer mortality in Spain: the influence of the financial crisis

Overview of attention for article published in Gaceta Sanitaria, February 2018
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Title
Trends in cancer mortality in Spain: the influence of the financial crisis
Published in
Gaceta Sanitaria, February 2018
DOI 10.1016/j.gaceta.2017.11.008
Pubmed ID
Authors

Josep Ferrando, Laia Palència, Mercè Gotsens, Vanessa Puig-Barrachina, Marc Marí-Dell'Olmo, Maica Rodríguez-Sanz, Xavier Bartoll, Carme Borrell

Abstract

To determine if the onset of the economic crisis in Spain affected cancer mortality and mortality trends. We conducted a longitudinal ecological study based on all cancer-related deaths and on specific types of cancer (lung, colon, breast and prostate) in Spain between 2000 and 2013. We computed age-standardised mortality rates in men and women, and fit mixed Poisson models to analyse the effect of the crisis on cancer mortality and trends therein. After the onset of the economic crisis, cancer mortality continued to decline, but with a significant slowing of the yearly rate of decline (men: RR = 0.987, 95%CI = 0.985-0.990, before the crisis, and RR = 0.993, 95%CI = 0.991-0.996, afterwards; women: RR = 0.990, 95%CI = 0.988-0.993, before, and RR = 1.002, 95%CI = 0.998-1.006, afterwards). In men, lung cancer mortality was reduced, continuing the trend observed in the pre-crisis period; the trend in colon cancer mortality did not change significantly and continued to increase; and the yearly decline in prostate cancer mortality slowed significantly. In women, lung cancer mortality continued to increase each year, as before the crisis; colon cancer continued to decease; and the previous yearly downward trend in breast cancer mortality slowed down following the onset of the crisis. Since the onset of the economic crisis in Spain the rate of decline in cancer mortality has slowed significantly, and this situation could be exacerbated by the current austerity measures in healthcare.

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Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 18%
Student > Doctoral Student 7 11%
Researcher 7 11%
Other 6 10%
Student > Bachelor 5 8%
Other 11 18%
Unknown 15 24%
Readers by discipline Count As %
Medicine and Dentistry 12 19%
Nursing and Health Professions 10 16%
Economics, Econometrics and Finance 5 8%
Biochemistry, Genetics and Molecular Biology 4 6%
Social Sciences 3 5%
Other 5 8%
Unknown 23 37%