 visitant ::
identificació
|
|||||||||||||||
|
Cerca | Lliura | Ajuda | Servei de Biblioteques | Sobre el DDD | Català English Español | |||||||||
| Pàgina inicial > Articles > Articles publicats > Geographical variability in mortality in urban areas : |
(Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública) (FISABIO Foundation) (Dirección General de Salut Pública i Adiccions. Conselleria de Sanitat Universal y Salut Pública) (FISABIO Foundation) (Dirección General de Salut Pública i Adiccions. Conselleria de Sanitat Universal y Salut Pública) (Universitat de València. Departament de Medicina Preventiva i Salut Pública, Ciències de l'Alimentació, Toxicologia i Medicina Legal) (Institut d'Investigació Biomèdica Sant Pau) (Instituto de Investigación Sanitaria del Principado de Asturias) (Consejeria de Sanidad) (Institut d'Investigació Biomèdica Sant Pau) (Universitat d'Alacant) (Fundación Marqués de Valdecilla-Observatorio de Salud Pública de Cantabria) (Instituto de Salud Carlos III) (Institut d'Investigació Biomèdica Sant Pau)| Data: | 2021 |
| Resum: | The geographical distribution of mortality has frequently been studied. Nevertheless, those studies often consider isolated causes of death. In this work, we aim to study the geographical distribution of mortality in urban areas, in particular, in 26 Spanish cities. We perform an overall study of 16 causes of death, considering that their geographical patterns could be dependent and estimating the dependence between the causes of death. We study the deaths in these 26 cities during the period 1996-2015 at the census tract level. A multivariate disease mapping model is used in order to solve the potential small area estimation problems that these data could show. We find that most of the geographical patterns found show positive correlations. This suggests the existence of a transversal geographical pattern, common to most causes of deaths, which determines those patterns to a higher/lower extent depending on each disease. The causes of death that exhibit that un-derlying pattern in a more prominent manner are chronic obstructive pulmonary disease (COPD), lung cancer, and cirrhosis for men and cardiovascular diseases and dementias for women. Such findings are quite consistent for most of the cities in the study. The high positive correlation found between geographical patterns reflects the existence of both high and low-risk areas in urban set-tings, in general terms for nearly all the causes of death. Moreover, the high-risk areas found often coincide with neighborhoods known for their high deprivation. Our results suggest that dependence among causes of death is a key aspect to be taken into account when mapping mortality, at least in urban contexts. |
| Ajuts: | Instituto de Salud Carlos III PI16/00670 Instituto de Salud Carlos III PI16/01004 Instituto de Salud Carlos III PI16/01187 Instituto de Salud Carlos III PI16/01273 Instituto de Salud Carlos III PI16/01281 Instituto de Salud Carlos III PI18/01313 Instituto de Salud Carlos III PI16/00755 |
| Nota: | Altres ajuts: Fondo Europeo de Desarrollo Regional (FEDER). |
| Drets: | Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.  |
| Llengua: | Anglès |
| Document: | Article ; recerca ; Versió publicada |
| Matèria: | Mortality ; Urban areas ; Geographical inequalities ; Multivariate disease mapping |
| Publicat a: | International journal of environmental research and public health, Vol. 18 Núm. 11 (january 2021) , p. 5664, ISSN 1660-4601 |
