Socioeconomic inequalities in mortality in 16 European cities

Author:

Borrell Carme12,Marí-Dell’olmo Marc13,Palència Laia13,Gotsens Mercè13,Burström BO4,Domínguez-Berjón Felicitas5,Rodríguez-Sanz Maica12,Dzúrová Dagmar6,Gandarillas Ana5,Hoffmann Rasmus7,Kovacs Katalin8,Marinacci Chiara9,Martikainen Pekka10,Pikhart Hynek11,Corman Diana4,Rosicova Katarina12,Saez Marc1314,Santana Paula15,Tarkiainen Lasse10,Puigpinós Rosa13,Morrison Joana11311,Pasarín M Isabel12,Díez Èlia13

Affiliation:

1. Agència de Salut Pública de Barcelona, Barcelona, Spain

2. Universitat Pompeu Fabra, Barcelona, Spain

3. Institut d’Investigació Biomèdica Sant Pau (IIB Sant Pau), Barcelona, Spain

4. Karolinska Institutet, Department of Public Health Sciences, Division of Social Medicine, Stockholm, Sweden

5. Subdirección de Promoción de la Salud y Prevención, Consejería de Sanidad, Comunidad de Madrid, Spain

6. Department of Social Geography and Regional Development, Faculty of Science, Charles University in Prague, Prague, Czech Republic

7. Department of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands

8. Demographic Research Institute, Budapest, Hungary

9. Epidemiology Unit, Local Health Unit TO3, Via, Turin, Italy

10. Department of Social Research, University of Helsinki, Helsinki, Finland

11. Department of Epidemiology and Public Health, University College London, London, UK

12. Graduate School Kosice Institute for Society and Health, Safarik University, Kosice, Slovakia

13. CIBER Epidemiología y Salud Pública (CIBERESP), Spain

14. Research Group on Statistics, Econometrics and Health (GRECS), University of Girona, Girona, Spain

15. Centro de Estudos de Geografia e de Ordenamento do Territorio (CEGOT), Departamento de Geografia, Colégio de S. Jerónimo, Universidade de Coimbra, Coimbra, Portugal

Abstract

Aims: To explore inequalities in total mortality between small areas of 16 European cities for men and women, as well as to analyse the relationship between these geographical inequalities and their socioeconomic indicators. Methods: A cross-sectional ecological design was used to analyse small areas in 16 European cities (26,229,104 inhabitants). Most cities had mortality data for a period between 2000 and 2008 and population size data for the same period. Socioeconomic indicators included an index of socioeconomic deprivation, unemployment, and educational level. We estimated standardised mortality ratios and controlled for their variability using Bayesian models. We estimated relative risk of mortality and excess number of deaths according to socioeconomic indicators. Results: We observed a consistent pattern of inequality in mortality in almost all cities, with mortality increasing in parallel with socioeconomic deprivation. Socioeconomic inequalities in mortality were more pronounced for men than women, and relative inequalities were greater in Eastern and Northern European cities, and lower in some Western (men) and Southern (women) European cities. The pattern of excess number of deaths was slightly different, with greater inequality in some Western and Northern European cities and also in Budapest, and lower among women in Madrid and Barcelona. Conclusions: In this study, we report a consistent pattern of socioeconomic inequalities in mortality in 16 European cities. Future studies should further explore specific causes of death, in order to determine whether the general pattern observed is consistent for each cause of death.

Publisher

SAGE Publications

Subject

Public Health, Environmental and Occupational Health,General Medicine

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