Cancer mortality burden and quality of life in Argentina: geographical pattern and measures of association
- Autores
- Pou, Sonia Alejandra; Niclis, Camila; Tumas, Natalia; Aballay, Laura Rosana; Diaz, Maria del Pilar
- Año de publicación
- 2021
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- 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 a departmental scale (n=511) 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 association was 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 mortality burden 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.
Fil: Pou, Sonia Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición. Cátedra de Estadística y Bioestadística; Argentina
Fil: Niclis, Camila. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina
Fil: Tumas, Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Centro de Investigaciones y Estudios sobre Cultura y Sociedad. Universidad Nacional de Córdoba. Centro de Investigaciones y Estudios sobre Cultura y Sociedad; Argentina
Fil: Aballay, Laura Rosana. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición. Cátedra de Estadística y Bioestadística; Argentina
Fil: Diaz, Maria del Pilar. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición. Cátedra de Estadística y Bioestadística; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina
IEA World Congress of Epidemiology
Australia
International Epidemiological Association - Materia
-
CANCER
MORTALITY
QUALITY OF LIFE
SPATIAL ANALYSIS
EPIDEMIOLOGY - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/200276
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Cancer mortality burden and quality of life in Argentina: geographical pattern and measures of associationPou, Sonia AlejandraNiclis, CamilaTumas, NataliaAballay, Laura RosanaDiaz, Maria del PilarCANCERMORTALITYQUALITY OF LIFESPATIAL ANALYSISEPIDEMIOLOGYhttps://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3https://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3Background 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 a departmental scale (n=511) 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 association was 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 mortality burden 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.Fil: Pou, Sonia Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición. Cátedra de Estadística y Bioestadística; ArgentinaFil: Niclis, Camila. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; ArgentinaFil: Tumas, Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Centro de Investigaciones y Estudios sobre Cultura y Sociedad. Universidad Nacional de Córdoba. Centro de Investigaciones y Estudios sobre Cultura y Sociedad; ArgentinaFil: Aballay, Laura Rosana. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición. Cátedra de Estadística y Bioestadística; ArgentinaFil: Diaz, Maria del Pilar. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición. Cátedra de Estadística y Bioestadística; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; ArgentinaIEA World Congress of EpidemiologyAustraliaInternational Epidemiological AssociationOxford University Press2021info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectCongresoJournalhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/200276Cancer mortality burden and quality of life in Argentina: geographical pattern and measures of association; IEA World Congress of Epidemiology; Australia; 2021; 1-10300-57711464-3685CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/ije/article/50/Supplement_1/dyab168.542/6361189?searchresult=1info:eu-repo/semantics/altIdentifier/doi/10.1093/ije/dyab168.542Internacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:08:02Zoai:ri.conicet.gov.ar:11336/200276instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-10 13:08:02.509CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Cancer mortality burden and quality of life in Argentina: geographical pattern and measures of association |
title |
Cancer mortality burden and quality of life in Argentina: geographical pattern and measures of association |
spellingShingle |
Cancer mortality burden and quality of life in Argentina: geographical pattern and measures of association Pou, Sonia Alejandra CANCER MORTALITY QUALITY OF LIFE SPATIAL ANALYSIS EPIDEMIOLOGY |
title_short |
Cancer mortality burden and quality of life in Argentina: geographical pattern and measures of association |
title_full |
Cancer mortality burden and quality of life in Argentina: geographical pattern and measures of association |
title_fullStr |
Cancer mortality burden and quality of life in Argentina: geographical pattern and measures of association |
title_full_unstemmed |
Cancer mortality burden and quality of life in Argentina: geographical pattern and measures of association |
title_sort |
Cancer mortality burden and quality of life in Argentina: geographical pattern and measures of association |
dc.creator.none.fl_str_mv |
Pou, Sonia Alejandra Niclis, Camila Tumas, Natalia Aballay, Laura Rosana Diaz, Maria del Pilar |
author |
Pou, Sonia Alejandra |
author_facet |
Pou, Sonia Alejandra Niclis, Camila Tumas, Natalia Aballay, Laura Rosana Diaz, Maria del Pilar |
author_role |
author |
author2 |
Niclis, Camila Tumas, Natalia Aballay, Laura Rosana Diaz, Maria del Pilar |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
CANCER MORTALITY QUALITY OF LIFE SPATIAL ANALYSIS EPIDEMIOLOGY |
topic |
CANCER MORTALITY QUALITY OF LIFE SPATIAL ANALYSIS EPIDEMIOLOGY |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/3.3 https://purl.org/becyt/ford/3 https://purl.org/becyt/ford/3.3 https://purl.org/becyt/ford/3 |
dc.description.none.fl_txt_mv |
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 a departmental scale (n=511) 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 association was 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 mortality burden 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. Fil: Pou, Sonia Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición. Cátedra de Estadística y Bioestadística; Argentina Fil: Niclis, Camila. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina Fil: Tumas, Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Centro de Investigaciones y Estudios sobre Cultura y Sociedad. Universidad Nacional de Córdoba. Centro de Investigaciones y Estudios sobre Cultura y Sociedad; Argentina Fil: Aballay, Laura Rosana. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición. Cátedra de Estadística y Bioestadística; Argentina Fil: Diaz, Maria del Pilar. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición. Cátedra de Estadística y Bioestadística; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina IEA World Congress of Epidemiology Australia International Epidemiological Association |
description |
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 a departmental scale (n=511) 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 association was 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 mortality burden 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. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021 |
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info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/conferenceObject Congreso Journal http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
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publishedVersion |
format |
conferenceObject |
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http://hdl.handle.net/11336/200276 Cancer mortality burden and quality of life in Argentina: geographical pattern and measures of association; IEA World Congress of Epidemiology; Australia; 2021; 1-1 0300-5771 1464-3685 CONICET Digital CONICET |
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http://hdl.handle.net/11336/200276 |
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Cancer mortality burden and quality of life in Argentina: geographical pattern and measures of association; IEA World Congress of Epidemiology; Australia; 2021; 1-1 0300-5771 1464-3685 CONICET Digital CONICET |
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eng |
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eng |
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Oxford University Press |
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Oxford University Press |
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