Socio-environmental patterns associated with cancer mortality: A study based on a quality of life approach

Autores
Pou, Sonia Alejandra; Diaz, Maria del Pilar; Velázquez, Guillermo Ángel
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Background: With 18.6% of total deaths due to malignant tumors in 2016, cancer is the second leading death cause in Argentina. While there is a broad consensus on common risk factors at the individual cancer level, those operating at a contextual level have been poorly studied in developing countries. The objective of our study was to identify socio-environmental patterns in Argentina (2010), emphasizing quality of life, and to explore their associations with the spatial distribution of cancer mortality in the country. Methods: The study was conducted in 525 geographical divisions nested into 24 provinces. Sex-specific crude and age-standardized mortality rates (ASMR) for cancer (2009-2011 period) were calculated. Empirically derived socio-environmental patterns were identified through principal-component factor analysis on a selected set of variables: an urban scale and 29 indicators of a quality of life index in Argentina for 2010. Two-level Poisson regression models were used to estimate associations between the ASMR and the continuous factor scores for socio-environmental patterns as covariates. A random intercept was included to account for spatial variability in the ASMR distribution using Stata software. Results: Four socio-environmental patterns were identified, termed "Contexts with urban-related resources or cultural capital", "Socioeconomically prosperous contexts", "Environments with anthropic exposures" and "Plains region" (cumulative explained variance=57%). High mortality rates were found in counties characterized by socioeconomically prosperous contexts (RR=1.025 in women; 1.088 in men) and plain landscapes (RR=1.057 and 1.117, respectively). Counties featuring urban or cultural resources demonstrated increased mortality in women (RR=1.015, 95%CI=1.005-1.025), whereas rising rates associated with environments having anthropic exposures (RR=1.008, 95%CI=1.001-1.016) were observed only for men. Conclusion: This study identified four characteristic socio-environmental patterns in Argentina which incorporate features of quality of life, accounting to some extent for the differential burden of cancer mortality in this country.
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: Diaz, Maria del Pilar. 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: Velázquez, Guillermo Ángel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto de Geografía, Historia y Ciencias Sociales. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto de Geografía, Historia y Ciencias Sociales; Argentina
Materia
ARGENTINA
EPIDEMIOLOGY
NEOPLASMS
QUALITY OF LIFE
SPATIAL ANALYSIS
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:11336/83896
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/83896
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Socio-environmental patterns associated with cancer mortality: A study based on a quality of life approachPou, Sonia AlejandraDiaz, Maria del PilarVelázquez, Guillermo ÁngelARGENTINAEPIDEMIOLOGYNEOPLASMSQUALITY OF LIFESPATIAL ANALYSIShttps://purl.org/becyt/ford/5.7https://purl.org/becyt/ford/5Background: With 18.6% of total deaths due to malignant tumors in 2016, cancer is the second leading death cause in Argentina. While there is a broad consensus on common risk factors at the individual cancer level, those operating at a contextual level have been poorly studied in developing countries. The objective of our study was to identify socio-environmental patterns in Argentina (2010), emphasizing quality of life, and to explore their associations with the spatial distribution of cancer mortality in the country. Methods: The study was conducted in 525 geographical divisions nested into 24 provinces. Sex-specific crude and age-standardized mortality rates (ASMR) for cancer (2009-2011 period) were calculated. Empirically derived socio-environmental patterns were identified through principal-component factor analysis on a selected set of variables: an urban scale and 29 indicators of a quality of life index in Argentina for 2010. Two-level Poisson regression models were used to estimate associations between the ASMR and the continuous factor scores for socio-environmental patterns as covariates. A random intercept was included to account for spatial variability in the ASMR distribution using Stata software. Results: Four socio-environmental patterns were identified, termed "Contexts with urban-related resources or cultural capital", "Socioeconomically prosperous contexts", "Environments with anthropic exposures" and "Plains region" (cumulative explained variance=57%). High mortality rates were found in counties characterized by socioeconomically prosperous contexts (RR=1.025 in women; 1.088 in men) and plain landscapes (RR=1.057 and 1.117, respectively). Counties featuring urban or cultural resources demonstrated increased mortality in women (RR=1.015, 95%CI=1.005-1.025), whereas rising rates associated with environments having anthropic exposures (RR=1.008, 95%CI=1.001-1.016) were observed only for men. Conclusion: This study identified four characteristic socio-environmental patterns in Argentina which incorporate features of quality of life, accounting to some extent for the differential burden of cancer mortality in this country.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: Diaz, Maria del Pilar. 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: Velázquez, Guillermo Ángel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto de Geografía, Historia y Ciencias Sociales. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto de Geografía, Historia y Ciencias Sociales; ArgentinaAsian Pacific Organization Cancer Prevention2018-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/83896Pou, Sonia Alejandra; Diaz, Maria del Pilar; Velázquez, Guillermo Ángel; Socio-environmental patterns associated with cancer mortality: A study based on a quality of life approach; Asian Pacific Organization Cancer Prevention; Asian Pacific Journal of Cancer Prevention; 19; 11; 11-2018; 3045-30521513-7368CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://journal.waocp.org/article_76626.htmlinfo:eu-repo/semantics/altIdentifier/doi/10.31557/APJCP.2018.19.11.3045info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:07:29Zoai:ri.conicet.gov.ar:11336/83896instacron: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 13:07:29.649CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Socio-environmental patterns associated with cancer mortality: A study based on a quality of life approach
title Socio-environmental patterns associated with cancer mortality: A study based on a quality of life approach
spellingShingle Socio-environmental patterns associated with cancer mortality: A study based on a quality of life approach
Pou, Sonia Alejandra
ARGENTINA
EPIDEMIOLOGY
NEOPLASMS
QUALITY OF LIFE
SPATIAL ANALYSIS
title_short Socio-environmental patterns associated with cancer mortality: A study based on a quality of life approach
title_full Socio-environmental patterns associated with cancer mortality: A study based on a quality of life approach
title_fullStr Socio-environmental patterns associated with cancer mortality: A study based on a quality of life approach
title_full_unstemmed Socio-environmental patterns associated with cancer mortality: A study based on a quality of life approach
title_sort Socio-environmental patterns associated with cancer mortality: A study based on a quality of life approach
dc.creator.none.fl_str_mv Pou, Sonia Alejandra
Diaz, Maria del Pilar
Velázquez, Guillermo Ángel
author Pou, Sonia Alejandra
author_facet Pou, Sonia Alejandra
Diaz, Maria del Pilar
Velázquez, Guillermo Ángel
author_role author
author2 Diaz, Maria del Pilar
Velázquez, Guillermo Ángel
author2_role author
author
dc.subject.none.fl_str_mv ARGENTINA
EPIDEMIOLOGY
NEOPLASMS
QUALITY OF LIFE
SPATIAL ANALYSIS
topic ARGENTINA
EPIDEMIOLOGY
NEOPLASMS
QUALITY OF LIFE
SPATIAL ANALYSIS
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.7
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv Background: With 18.6% of total deaths due to malignant tumors in 2016, cancer is the second leading death cause in Argentina. While there is a broad consensus on common risk factors at the individual cancer level, those operating at a contextual level have been poorly studied in developing countries. The objective of our study was to identify socio-environmental patterns in Argentina (2010), emphasizing quality of life, and to explore their associations with the spatial distribution of cancer mortality in the country. Methods: The study was conducted in 525 geographical divisions nested into 24 provinces. Sex-specific crude and age-standardized mortality rates (ASMR) for cancer (2009-2011 period) were calculated. Empirically derived socio-environmental patterns were identified through principal-component factor analysis on a selected set of variables: an urban scale and 29 indicators of a quality of life index in Argentina for 2010. Two-level Poisson regression models were used to estimate associations between the ASMR and the continuous factor scores for socio-environmental patterns as covariates. A random intercept was included to account for spatial variability in the ASMR distribution using Stata software. Results: Four socio-environmental patterns were identified, termed "Contexts with urban-related resources or cultural capital", "Socioeconomically prosperous contexts", "Environments with anthropic exposures" and "Plains region" (cumulative explained variance=57%). High mortality rates were found in counties characterized by socioeconomically prosperous contexts (RR=1.025 in women; 1.088 in men) and plain landscapes (RR=1.057 and 1.117, respectively). Counties featuring urban or cultural resources demonstrated increased mortality in women (RR=1.015, 95%CI=1.005-1.025), whereas rising rates associated with environments having anthropic exposures (RR=1.008, 95%CI=1.001-1.016) were observed only for men. Conclusion: This study identified four characteristic socio-environmental patterns in Argentina which incorporate features of quality of life, accounting to some extent for the differential burden of cancer mortality in this country.
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: Diaz, Maria del Pilar. 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: Velázquez, Guillermo Ángel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto de Geografía, Historia y Ciencias Sociales. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto de Geografía, Historia y Ciencias Sociales; Argentina
description Background: With 18.6% of total deaths due to malignant tumors in 2016, cancer is the second leading death cause in Argentina. While there is a broad consensus on common risk factors at the individual cancer level, those operating at a contextual level have been poorly studied in developing countries. The objective of our study was to identify socio-environmental patterns in Argentina (2010), emphasizing quality of life, and to explore their associations with the spatial distribution of cancer mortality in the country. Methods: The study was conducted in 525 geographical divisions nested into 24 provinces. Sex-specific crude and age-standardized mortality rates (ASMR) for cancer (2009-2011 period) were calculated. Empirically derived socio-environmental patterns were identified through principal-component factor analysis on a selected set of variables: an urban scale and 29 indicators of a quality of life index in Argentina for 2010. Two-level Poisson regression models were used to estimate associations between the ASMR and the continuous factor scores for socio-environmental patterns as covariates. A random intercept was included to account for spatial variability in the ASMR distribution using Stata software. Results: Four socio-environmental patterns were identified, termed "Contexts with urban-related resources or cultural capital", "Socioeconomically prosperous contexts", "Environments with anthropic exposures" and "Plains region" (cumulative explained variance=57%). High mortality rates were found in counties characterized by socioeconomically prosperous contexts (RR=1.025 in women; 1.088 in men) and plain landscapes (RR=1.057 and 1.117, respectively). Counties featuring urban or cultural resources demonstrated increased mortality in women (RR=1.015, 95%CI=1.005-1.025), whereas rising rates associated with environments having anthropic exposures (RR=1.008, 95%CI=1.001-1.016) were observed only for men. Conclusion: This study identified four characteristic socio-environmental patterns in Argentina which incorporate features of quality of life, accounting to some extent for the differential burden of cancer mortality in this country.
publishDate 2018
dc.date.none.fl_str_mv 2018-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/83896
Pou, Sonia Alejandra; Diaz, Maria del Pilar; Velázquez, Guillermo Ángel; Socio-environmental patterns associated with cancer mortality: A study based on a quality of life approach; Asian Pacific Organization Cancer Prevention; Asian Pacific Journal of Cancer Prevention; 19; 11; 11-2018; 3045-3052
1513-7368
CONICET Digital
CONICET
url http://hdl.handle.net/11336/83896
identifier_str_mv Pou, Sonia Alejandra; Diaz, Maria del Pilar; Velázquez, Guillermo Ángel; Socio-environmental patterns associated with cancer mortality: A study based on a quality of life approach; Asian Pacific Organization Cancer Prevention; Asian Pacific Journal of Cancer Prevention; 19; 11; 11-2018; 3045-3052
1513-7368
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://journal.waocp.org/article_76626.html
info:eu-repo/semantics/altIdentifier/doi/10.31557/APJCP.2018.19.11.3045
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
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
dc.publisher.none.fl_str_mv Asian Pacific Organization Cancer Prevention
publisher.none.fl_str_mv Asian Pacific Organization Cancer Prevention
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
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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