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dc.contributor.author
Pou, Sonia Alejandra  
dc.contributor.author
Tumas, Natalia  
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Sánchez Soria, David  
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Ortiz, Pablo  
dc.contributor.author
Diaz, Maria del Pilar  
dc.date.available
2018-11-28T12:39:41Z  
dc.date.issued
2017-09  
dc.identifier.citation
Pou, Sonia Alejandra; Tumas, Natalia; Sánchez Soria, David; Ortiz, Pablo; Diaz, Maria del Pilar; Large-scale societal factors and noncommunicable diseases: Urbanization, poverty and mortality spatial patterns in Argentina; Elsevier Ltd; Applied Geography; 86; 9-2017; 32-40  
dc.identifier.issn
0143-6228  
dc.identifier.uri
http://hdl.handle.net/11336/65390  
dc.description.abstract
In developing countries, the rapid increase in noncommunicable diseases burden has been accompanied by socio-demographic changes, such as rapid urbanization, with persistence of considerable socio-economic gaps between populations. In Argentina, cardiovascular diseases (CVD) and cancer are leading causes of death. The aim of this study was to identify geographic clustering of mortality rates related to both diseases in Argentina and to assess their association with two large-scale societal factors, urbanization and poverty contexts. Materials and methods: We performed an ecological study in Argentina (n ¼ 525 counties), 2009e2011 period. Using spatial analysis techniques we identified and mapped spatial clusters of high and low values for age-standardized mortality rates (ASMR) of cancer or CVD and for selected urbanization and poverty indicators. We estimated incidence-rate ratios using two-level Poisson regression models, which accounted for rates distribution spatial variability. Results: Cancer and CVD mortality rates distribution were spatially dependent. Population growth showed an inverse association with ASMR from these causes, for both sexes. We detected an additive interaction of effects between urban scale and poverty level, being the “rural poverty” associated with an increasing risk of mortality by cancer (in both sexes) or by CVD (only men), compared to contexts with high urban scale and low poverty level. Counties with an intermediate urban scale seem to present the most favorable context, even when their socio-economic conditions are more unfavorable than those with higher urbanization levels. Conclusions: Geographical differences in urban and socioeconomic contextual conditions can explain spatial variation in NCD mortality burden in Argentina  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier Ltd  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Argentina  
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Cancer  
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Cardiovascular Diseases  
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Poverty  
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Spatial Epidemiology  
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Urbanization  
dc.subject.classification
Salud Ocupacional  
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Ciencias de la Salud  
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CIENCIAS MÉDICAS Y DE LA SALUD  
dc.title
Large-scale societal factors and noncommunicable diseases: Urbanization, poverty and mortality spatial patterns in Argentina  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2018-08-21T14:23:31Z  
dc.journal.volume
86  
dc.journal.pagination
32-40  
dc.journal.pais
Inglaterra  
dc.journal.ciudad
Kidlington  
dc.description.fil
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  
dc.description.fil
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  
dc.description.fil
Fil: Sánchez Soria, David. Asociación Ecuatoriana de Estudios de Población; Ecuador  
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Fil: Ortiz, Pablo. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina  
dc.description.fil
Fil: Diaz, Maria del Pilar. Universidad Nacional de Cordoba. Facultad de Medicina. Escuela de Nutricion. Cat.de Estadistica y Bioestasdística; Argentina  
dc.journal.title
Applied Geography  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://linkinghub.elsevier.com/retrieve/pii/S0143622816302351  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.apgeog.2017.06.022