Socio-environmental exposures explaining the opposites spatial patterns of mortality due to breast and cervical cancer in Argentinean women
- Autores
- Pou, Sonia Alejandra; Niclis, Camila; Tumas, Natalia; Butinof, Mariana; Diaz, Maria del Pilar
- Año de publicación
- 2020
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- Background: This work aimed to characterize the spatial patterns of breast (BC) and cervix (CC) cancer mortalities in Argentina (2013-2015) and to propose a socio-environmental model explaining the observed differences.Methods: An ecological multigroup design (n=511 counties nested in 24 provinces) were carried out in Argentina. Age-standardized mortality rates (SMR) of BC and CC by county were estimated. Using the 2013-2015 average rates, a Getis-Ord analysis was performed to identify spatial clusters of high (hot spots) and low (cold spots) values of SMRs. A two-level logistic regression model was fixed to assess the relationship between the presence of hot and cold spots of each cause, accounting for the spatial variability. Finally, mixed-effects Poisson models were fitted using BC or CC SMRs as outcomes, and agricultural activity -AA- level (null/intermediate/high), urban scale (big cities/middle-sized or small cities/towns) and % households with unsatisfied basic needs (UBN) as fixed effects-covariates, including a random intercept (province as clustering variable). Interaction terms between AA and UBN levels were included.Results: Mortality spatial patterns were opposite between CC and BC. The presence of BC hot spot was significantly associated with the presence of CC cold spot. Increased risk of BC mortality was associated with a higher AA level. This effect was not independent of UBN, given that in the intermediate AA areas, UBN was inversely associated with BC mortality. Besides, lower BC mortality risk was linked to the smallest urban scales (vs. big cities). An opposite effect of the urban scale was observed for CC mortality. Significant interaction terms between AA and UBN levels were found, showing that in areas with high AA, increasing NBI was associated with higher CC SMR.Conclusions: Concomitant socio-environmental exposures linked to socioeconomic conditions, anthropic exposures and urbanization could explain the differences between BC and CC mortality spatial patterns in Argentina.
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
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: Butinof, Mariana. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; Argentina
Fil: Diaz, Maria del Pilar. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición. Cátedra de Estadística y Bioestadística; Argentina
32nd Annual Conference of the International Society for Environmental Epidemiology
Herndon
Estados Unidos
International Society of Environmental Epidemiology - Materia
-
EPIDEMIOLOGY
SPATIAL ANALYSIS
BREAST CANCER
CERVIX CANCER
ARGENTINA - 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:11336/215279
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Socio-environmental exposures explaining the opposites spatial patterns of mortality due to breast and cervical cancer in Argentinean womenPou, Sonia AlejandraNiclis, CamilaTumas, NataliaButinof, MarianaDiaz, Maria del PilarEPIDEMIOLOGYSPATIAL ANALYSISBREAST CANCERCERVIX CANCERARGENTINAhttps://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3Background: This work aimed to characterize the spatial patterns of breast (BC) and cervix (CC) cancer mortalities in Argentina (2013-2015) and to propose a socio-environmental model explaining the observed differences.Methods: An ecological multigroup design (n=511 counties nested in 24 provinces) were carried out in Argentina. Age-standardized mortality rates (SMR) of BC and CC by county were estimated. Using the 2013-2015 average rates, a Getis-Ord analysis was performed to identify spatial clusters of high (hot spots) and low (cold spots) values of SMRs. A two-level logistic regression model was fixed to assess the relationship between the presence of hot and cold spots of each cause, accounting for the spatial variability. Finally, mixed-effects Poisson models were fitted using BC or CC SMRs as outcomes, and agricultural activity -AA- level (null/intermediate/high), urban scale (big cities/middle-sized or small cities/towns) and % households with unsatisfied basic needs (UBN) as fixed effects-covariates, including a random intercept (province as clustering variable). Interaction terms between AA and UBN levels were included.Results: Mortality spatial patterns were opposite between CC and BC. The presence of BC hot spot was significantly associated with the presence of CC cold spot. Increased risk of BC mortality was associated with a higher AA level. This effect was not independent of UBN, given that in the intermediate AA areas, UBN was inversely associated with BC mortality. Besides, lower BC mortality risk was linked to the smallest urban scales (vs. big cities). An opposite effect of the urban scale was observed for CC mortality. Significant interaction terms between AA and UBN levels were found, showing that in areas with high AA, increasing NBI was associated with higher CC SMR.Conclusions: Concomitant socio-environmental exposures linked to socioeconomic conditions, anthropic exposures and urbanization could explain the differences between BC and CC mortality spatial patterns in Argentina.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; 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: Butinof, Mariana. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; ArgentinaFil: Diaz, Maria del Pilar. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición. Cátedra de Estadística y Bioestadística; Argentina32nd Annual Conference of the International Society for Environmental EpidemiologyHerndonEstados UnidosInternational Society of Environmental EpidemiologyKenes group2020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectConferenciaBookhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/215279Socio-environmental exposures explaining the opposites spatial patterns of mortality due to breast and cervical cancer in Argentinean women; 32nd Annual Conference of the International Society for Environmental Epidemiology; Herndon; Estados Unidos; 2020; 3-3CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://sola-siska.si/wp-content/uploads/2020/10/ISEE2020Virtual_Abstract_Book_EPosters.pdfInternacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:53:23Zoai:ri.conicet.gov.ar:11336/215279instacron: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:34982025-09-03 09:53:23.856CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Socio-environmental exposures explaining the opposites spatial patterns of mortality due to breast and cervical cancer in Argentinean women |
title |
Socio-environmental exposures explaining the opposites spatial patterns of mortality due to breast and cervical cancer in Argentinean women |
spellingShingle |
Socio-environmental exposures explaining the opposites spatial patterns of mortality due to breast and cervical cancer in Argentinean women Pou, Sonia Alejandra EPIDEMIOLOGY SPATIAL ANALYSIS BREAST CANCER CERVIX CANCER ARGENTINA |
title_short |
Socio-environmental exposures explaining the opposites spatial patterns of mortality due to breast and cervical cancer in Argentinean women |
title_full |
Socio-environmental exposures explaining the opposites spatial patterns of mortality due to breast and cervical cancer in Argentinean women |
title_fullStr |
Socio-environmental exposures explaining the opposites spatial patterns of mortality due to breast and cervical cancer in Argentinean women |
title_full_unstemmed |
Socio-environmental exposures explaining the opposites spatial patterns of mortality due to breast and cervical cancer in Argentinean women |
title_sort |
Socio-environmental exposures explaining the opposites spatial patterns of mortality due to breast and cervical cancer in Argentinean women |
dc.creator.none.fl_str_mv |
Pou, Sonia Alejandra Niclis, Camila Tumas, Natalia Butinof, Mariana Diaz, Maria del Pilar |
author |
Pou, Sonia Alejandra |
author_facet |
Pou, Sonia Alejandra Niclis, Camila Tumas, Natalia Butinof, Mariana Diaz, Maria del Pilar |
author_role |
author |
author2 |
Niclis, Camila Tumas, Natalia Butinof, Mariana Diaz, Maria del Pilar |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
EPIDEMIOLOGY SPATIAL ANALYSIS BREAST CANCER CERVIX CANCER ARGENTINA |
topic |
EPIDEMIOLOGY SPATIAL ANALYSIS BREAST CANCER CERVIX CANCER ARGENTINA |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/3.3 https://purl.org/becyt/ford/3 |
dc.description.none.fl_txt_mv |
Background: This work aimed to characterize the spatial patterns of breast (BC) and cervix (CC) cancer mortalities in Argentina (2013-2015) and to propose a socio-environmental model explaining the observed differences.Methods: An ecological multigroup design (n=511 counties nested in 24 provinces) were carried out in Argentina. Age-standardized mortality rates (SMR) of BC and CC by county were estimated. Using the 2013-2015 average rates, a Getis-Ord analysis was performed to identify spatial clusters of high (hot spots) and low (cold spots) values of SMRs. A two-level logistic regression model was fixed to assess the relationship between the presence of hot and cold spots of each cause, accounting for the spatial variability. Finally, mixed-effects Poisson models were fitted using BC or CC SMRs as outcomes, and agricultural activity -AA- level (null/intermediate/high), urban scale (big cities/middle-sized or small cities/towns) and % households with unsatisfied basic needs (UBN) as fixed effects-covariates, including a random intercept (province as clustering variable). Interaction terms between AA and UBN levels were included.Results: Mortality spatial patterns were opposite between CC and BC. The presence of BC hot spot was significantly associated with the presence of CC cold spot. Increased risk of BC mortality was associated with a higher AA level. This effect was not independent of UBN, given that in the intermediate AA areas, UBN was inversely associated with BC mortality. Besides, lower BC mortality risk was linked to the smallest urban scales (vs. big cities). An opposite effect of the urban scale was observed for CC mortality. Significant interaction terms between AA and UBN levels were found, showing that in areas with high AA, increasing NBI was associated with higher CC SMR.Conclusions: Concomitant socio-environmental exposures linked to socioeconomic conditions, anthropic exposures and urbanization could explain the differences between BC and CC mortality spatial patterns in Argentina. 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 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: Butinof, Mariana. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; Argentina Fil: Diaz, Maria del Pilar. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición. Cátedra de Estadística y Bioestadística; Argentina 32nd Annual Conference of the International Society for Environmental Epidemiology Herndon Estados Unidos International Society of Environmental Epidemiology |
description |
Background: This work aimed to characterize the spatial patterns of breast (BC) and cervix (CC) cancer mortalities in Argentina (2013-2015) and to propose a socio-environmental model explaining the observed differences.Methods: An ecological multigroup design (n=511 counties nested in 24 provinces) were carried out in Argentina. Age-standardized mortality rates (SMR) of BC and CC by county were estimated. Using the 2013-2015 average rates, a Getis-Ord analysis was performed to identify spatial clusters of high (hot spots) and low (cold spots) values of SMRs. A two-level logistic regression model was fixed to assess the relationship between the presence of hot and cold spots of each cause, accounting for the spatial variability. Finally, mixed-effects Poisson models were fitted using BC or CC SMRs as outcomes, and agricultural activity -AA- level (null/intermediate/high), urban scale (big cities/middle-sized or small cities/towns) and % households with unsatisfied basic needs (UBN) as fixed effects-covariates, including a random intercept (province as clustering variable). Interaction terms between AA and UBN levels were included.Results: Mortality spatial patterns were opposite between CC and BC. The presence of BC hot spot was significantly associated with the presence of CC cold spot. Increased risk of BC mortality was associated with a higher AA level. This effect was not independent of UBN, given that in the intermediate AA areas, UBN was inversely associated with BC mortality. Besides, lower BC mortality risk was linked to the smallest urban scales (vs. big cities). An opposite effect of the urban scale was observed for CC mortality. Significant interaction terms between AA and UBN levels were found, showing that in areas with high AA, increasing NBI was associated with higher CC SMR.Conclusions: Concomitant socio-environmental exposures linked to socioeconomic conditions, anthropic exposures and urbanization could explain the differences between BC and CC mortality spatial patterns in Argentina. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/conferenceObject Conferencia Book http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
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publishedVersion |
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http://hdl.handle.net/11336/215279 Socio-environmental exposures explaining the opposites spatial patterns of mortality due to breast and cervical cancer in Argentinean women; 32nd Annual Conference of the International Society for Environmental Epidemiology; Herndon; Estados Unidos; 2020; 3-3 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/215279 |
identifier_str_mv |
Socio-environmental exposures explaining the opposites spatial patterns of mortality due to breast and cervical cancer in Argentinean women; 32nd Annual Conference of the International Society for Environmental Epidemiology; Herndon; Estados Unidos; 2020; 3-3 CONICET Digital CONICET |
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eng |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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