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
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/215279
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/215279
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling 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 Técnicas2025-09-29T09:52:30Zoai: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:34982025-09-29 09:52:30.596CONICET 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
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Book
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
status_str publishedVersion
format conferenceObject
dc.identifier.none.fl_str_mv 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
dc.language.none.fl_str_mv eng
language eng
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eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.coverage.none.fl_str_mv Internacional
dc.publisher.none.fl_str_mv Kenes group
publisher.none.fl_str_mv Kenes group
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instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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