INVESTIGADORES
TUMAS Natalia
congresos y reuniones científicas
Título:
Cancer mortality burden and quality of life in Argentina: geographical pattern and measures of association
Autor/es:
POU, SONIA A.; NICLIS, CAMILA; TUMAS, NATALIA; ABALLAY, LAURA R.; DÍAZ, MARÍA DEL PILAR
Lugar:
Modalidad virtual
Reunión:
Congreso; IEA World Congress of Epidemiology; 2021
Resumen:
Background: Health outcomes are often related to the conditions in which people live. Previous studies indicated that cancer mortality is non-randomly distributed between social groups and regions in Argentina. We aimed to analyze geographical pattern of mortality due to the most prevalent cancers in Argentina (2013-2015), from a quality of life approach. Methods: Age-standardized mortality rates (ASMR) for specific cancer types (breast, lung, prostate, colon, cervix, stomach) was estimated by direct method (2013-2015 period). Mortality maps at adepartmental scale (n¼511) were constructed by using a Getis-Ord Hot Spot spatial analysis. A Quality of Life Index (QLI, continuous score) for Argentina 2010 was used. Poisson mixed models with a random intercept were performed to estimate IRRs (relative risk) as measures of association.Results: Breast, lung, and colon cancers show the most clear ASMR geographical patterns, which locate an extensive cold spot (lower and correlated rates) in the northwestern region of Argentina and a hot spot (higher and correlated rates) in the Pampeana (center-east) region . Particularly, breast and cervix cancers showed confronting mortality geographic patterns and opposite relationships with the departmental QLI (IRR 1.23 and 0.78, respectively). A direct associationwas found for lung (IRR 1.46/1.15 for women/men) and colon cancer (IRR 1.57/1.49 for women/men). Conclusions: Results evidence geographic disparities in cancer mortalityburden linked to the quality of life of populations at departmental scale in Argentina. Key messages: Geographic disparities in cancer mortality are linked to the quality of life in Argentina. Mortality-QLI relationship varies according the cancer type.