2024-03-28T11:20:51Zhttp://repisalud.isciii.es/oai/requestoai:repisalud.isciii.es:20.500.12105/138742022-03-30T01:00:43Zcom_20.500.12105_15322com_20.500.12105_2051com_20.500.12105_2053com_20.500.12105_2052col_20.500.12105_16990col_20.500.12105_16981col_20.500.12105_16972col_20.500.12105_16967col_20.500.12105_2054
Repisalud
author
Martinez-Beneito, Miguel A
author
Vergara-Hernández, Carlos
author
Botella-Rocamora, Paloma
author
Corpas-Burgos, Francisca
author
Pérez-Panadés, Jordi
author
Zurriaga, Óscar
author
Aldasoro, Elena
author
Borrell, Carme
author
Cabeza, Elena
author
Cirera, Lluís
author
Delfrade Osinaga, Josu
author
Fernández-Somoano, Ana
author
Gandarillas, Ana
author
Lorenzo Ruano, Pedro L
author
Marí-Dell'Olmo, Marc
author
Nolasco, Andreu
author
Prieto-Salceda, M Dolores
author
Ramis, Rebeca
author
Rodríguez-Sanz, Maica
author
Sánchez-Villegas, Pablo
author
MEDEA3 Project Group
funder
Instituto de Salud Carlos III
2022-03-29T09:21:36Z
2022-03-29T09:21:36Z
2021-05-25
Int J Environ Res Public Health. 2021 May 25;18(11):5664.
http://hdl.handle.net/20.500.12105/13874
34070635
10.3390/ijerph18115664
1660-4601
International Journal of Environmental Research and Public Health
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 underlying 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 settings, 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.
eng
Geographical inequalities
Mortality
Multivariate disease mapping
Urban areas
Geographical Variability in Mortality in Urban Areas: A Joint Analysis of 16 Causes of Death
journal article
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URL
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