Social differences in avoidable mortality between small areas of 15 European cities : An ecological study
Hoffmann, Rasmus (Erasmus Medical Center)
Borsboom, Gerard (Erasmus Medical Center)
Saez, Marc 
(Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública)
Marí-Dell'Olmo, Marc 1978-

(Institut d'Investigació Biomèdica Sant Pau)
Burström, Bo (Karolinska University Hospital and Karolinska Institutet (Suècia))
Corman, Diana (Karolinska University Hospital and Karolinska Institutet (Suècia))
Costa, Claudia
(Universidade de Coimbra)
Deboosere, Patrick
(Vrije Universiteit Brussel)
Domínguez-Berjón, M.Felicitas (Consejeria de Sanidad de Madrid)
Dzúrová, Dagmar (Charles University in Prague)
Gandarillas, Ana (Consejería de Sanidad de Madrid. Subdirección de Promoción de la Salud y Prevención)
Gotsens, Mercè
(Institut d'Investigació Biomèdica Sant Pau)
Kovács, Katalin (Demographic Research Institute, HCSO)
Mackenbach, Johan (Erasmus Medical Center)
Martikainen, Pekka
(University of Helsinki)
Maynou, Laia
(London School of Hygiene and Tropical Medicine)
Morrison, Joana
(University College London)
Palència, Laia
(Institut d'Investigació Biomèdica Sant Pau)
Pérez, Gloria (University College London)
Pikhart, Hynek
(University College London)
Rodríguez-Sanz, Maica
(Institut d'Investigació Biomèdica Sant Pau)
Santana, Paula
(Universidade de Coimbra)
Saurina Canals, Carme
(Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública)
Tarkiainen, Lasse (University of Helsinki)
Borrell i Thió, Carme
(Institut d'Investigació Biomèdica Sant Pau)
Universitat Autònoma de Barcelona
| Data: |
2014 |
| Resum: |
Background: Health and inequalities in health among inhabitants of European cities are of major importance for European public health and there is great interest in how different health care systems in Europe perform in the reduction of health inequalities. However, evidence on the spatial distribution of cause-specific mortality across neighbourhoods of European cities is scarce. This study presents maps of avoidable mortality in European cities and analyses differences in avoidable mortality between neighbourhoods with different levels of deprivation. Methods: We determined the level of mortality from 14 avoidable causes of death for each neighbourhood of 15 large cities in different European regions. To address the problems associated with Standardised Mortality Ratios for small areas we smooth them using the Bayesian model proposed by Besag, York and Mollié. Ecological regression analysis was used to assess the association between social deprivation and mortality. Results: Mortality from avoidable causes of death is higher in deprived neighbourhoods and mortality rate ratios between areas with different levels of deprivation differ between gender and cities. In most cases rate ratios are lower among women. While Eastern and Southern European cities show higher levels of avoidable mortality, the association of mortality with social deprivation tends to be higher in Northern and lower in Southern Europe. Conclusions: There are marked differences in the level of avoidable mortality between neighbourhoods of European cities and the level of avoidable mortality is associated with social deprivation. There is no systematic difference in the magnitude of this association between European cities or regions. Spatial patterns of avoidable mortality across small city areas can point to possible local problems and specific strategies to reduce health inequality which is important for the development of urban areas and the well-being of their inhabitants. © 2014 Hoffmann et al. ; licensee BioMed Central Ltd. |
| 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: |
Avoidable mortality ;
Bayesian methods ;
Health inequality ;
Small area ;
Spatial analysis ;
Urban health |
| Publicat a: |
International Journal of Health Geographics, Vol. 13 (december 2014) , p. 8, ISSN 1476-072X |
DOI: 10.1186/1476-072X-13-8
PMID: 24618273
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