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dc.contributor.author
Niclis, Camila  
dc.contributor.author
Aballay, Laura Rosana  
dc.contributor.author
Becaria Coquet, Julia  
dc.contributor.other
Velázquez, Guillermo Ángel  
dc.contributor.other
Celemin, Juan Pablo  
dc.date.available
2023-07-04T17:59:59Z  
dc.date.issued
2022  
dc.identifier.citation
Niclis, Camila; Aballay, Laura Rosana; Becaria Coquet, Julia; Socio-spatial differences in the prevalence of lifestyles risk factors related to chronic diseases in Argentina from 2005 to 2013; Springer Nature Switzerland AG; 2022; 227-279  
dc.identifier.isbn
978-3-030-94410-0  
dc.identifier.uri
http://hdl.handle.net/11336/202336  
dc.description.abstract
Diverse modifiable factors seem to be involved in the etiology of different non-communicable diseases (NCDs), such as cancer, diabetes, and cardiovascular diseases. These pathologies are complex in nature, and their prevalence, incidence, and mortality rates are strongly related to social, cultural, and socioeconomic determinants. The occurrence of NCDs is closely related to four main modifiable risk factors: tobacco use, physical inactivity, the harmful use of alcohol, and an unhealthy diet, all of them characteristic of current societies and their lifestyle in this century. Besides, certain authors propose a structural approach where poverty and differences in income have been indicated as the main drivers of premature deaths from chronic diseases. Specifically, it has been reported that, in Argentina, geographic differences in terms of urban scale and socioeconomic conditions could explain the inequities in the prevalent NCD mortality burden, which in effect, are distributed unequally between social groups and geographic regions. In this chapter, an analysis of the geographical distribution of the prevalence of some of the main chronic diseases and their risk factors linked to lifestyles in Argentina is proposed. The prevalence of arterial hypertension, diabetes, and obesity by sex and, in addition, specific risk factors (smoking, excessive alcohol consumption, and sedentary lifestyle) were used for the construction of maps. Data were obtained from the first, second, and third National Survey of Risk Factors carried out during the years 2005, 2009, and 2013 by the National Health Ministry. These indicators were used to construct prevalence maps for each of the years studied and by sex at the provincial scale. Various socioeconomic indicators were also overlapping through symbols proportional to their magnitude. The main indicator used was the socioeconomic level index. Additionally, the percentage of households with at least one unsatisfied basic necessity (as an indicator of structural poverty) and of the population without complete primary studies were also represented. The study of the territorial differences in the prevalence of several of the main NCDs in Argentina and their most recognized conditioning factors contributes to the knowledge of local realities when contemplating the contextual socioeconomic scenarios of each of these spaces. This is essential and could be used as grounds when designing specific strategies to address individual and structural health threats in our population.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Springer Nature Switzerland AG  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
GEOGRAPHIC PATTERN  
dc.subject
TEMPORAL TRENDS  
dc.subject
NONCOMMUNICABLE DISEASES  
dc.subject
SOCIOECONOMIC CONDITIONS  
dc.subject.classification
Epidemiología  
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Ciencias de la Salud  
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CIENCIAS MÉDICAS Y DE LA SALUD  
dc.title
Socio-spatial differences in the prevalence of lifestyles risk factors related to chronic diseases in Argentina from 2005 to 2013  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.type
info:eu-repo/semantics/bookPart  
dc.type
info:ar-repo/semantics/parte de libro  
dc.date.updated
2023-07-03T15:30:00Z  
dc.journal.pagination
227-279  
dc.journal.pais
Suiza  
dc.journal.ciudad
Cham  
dc.description.fil
Fil: Niclis, Camila. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; 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  
dc.description.fil
Fil: Aballay, Laura Rosana. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; Argentina  
dc.description.fil
Fil: Becaria Coquet, Julia. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; 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  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/chapter/10.1007/978-3-030-94411-7_7  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1007/978-3-030-94411-7_7  
dc.conicet.paginas
353  
dc.source.titulo
Inequities and Quality of Life in Argentina