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
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/200276

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network_name_str CONICET Digital (CONICET)
spelling 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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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
url http://hdl.handle.net/11336/200276
identifier_str_mv 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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