1. Cancer mortality inequalities in urban areas: a Bayesian small area analysis in Spanish cities
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Felicitas Domínguez-Berjón, Carlos Ascaso, Mercè Gotsens, Agustín Montes-Martínez, Gonzalo López-Abente, Rosa Puigpinós-Riera, C. Borrell, Antonio Daponte, Santiago Esnaola, Gemma Serral, Carmen Martos, Andreu Nolasco, Imanol Montoya, Isabel M Pasarín, Marc Saez, Ana Gandarillas, Pablo Sánchez-Villegas, Miguel A. Martinez-Beneito, Montse Calvo, Maica Rodríguez-Sanz, Marc Marí-Dell’Olmo, Grupo Balmis de Investigación en Salud Comunitaria e Historia de la Ciencia, Universidad de Alicante. Departamento de Enfermería Comunitaria, Medicina Preventiva y Salud Pública e Historia de la Ciencia, Instituto de Salud Carlos III, [Puigpinós-Riera R, Ascaso C] Departament de Salut Pública, Facultat de Medicina, Universitat de Barcelona, Barcelona, Spain. [Puigpinós-Riera R, Marí-Dell'Olmo M, Gotsens M, Borrell C, Serral G, Pasarín IM, Rodríguez-Sanz M] Servei de Sistemes d'Informació Sanitaria, Agència de Salut Pública de Barcelona, Barcelona, Spain. [Puigpinós-Riera R, Marí-Dell'Olmo M, Gotsens M, Borrell C, Serral G,Daponte A, Montes-Martínez A, Pasarín IM, Rodríguez-Sanz M, Sáez M] CIBER Epidemiología y Salud Pública (CIBERESP), Parc de Recerca Biomédica de Barcelona, Barcelona, Spain. [Borrell C, Pasarín IM, Sáez M] Universitat Pompeu Fabra, Barcelona, Spain. [Calvo M, Esnaola S, Montoya I] Estudios e investigación Sanitaria, Departamento de Sanidad y Consumo. Gobierno Vasco, Vitoria-Gasteiz, Spain. [Daponte A, Sánchez-Villegas P] bservatorio de Salud y Medio Ambiente de Andalucía (OSMAN), Area de Salud Pública y Protección de la Salud, Escuela Andaluza de Salud Pública, Granada, Spain. [Domínguez-Berjón FM] Servicio de Informes de Salud y Estudios, Instituto de Salud Pública, Dirección General de Salud Pública y Alimentación, Consejería de Sanidad, Comunidad de Madrid. [Gandarillas A] Servicio de Epidemiologia, Dirección General de Atención Primaria, Comunidad de Madrid. [López-Abente G] Area de Epidemiología Ambiental y Cáncer, Centro Nacional de Epidemiología, Madrid, Spain. [Martos CM, Martínez-Beneito MA] Area de Desigualdades en Salud, Centro Superior de Investigación en Salud Pública de Valencia, Spain. [Martos CM] Instituto Aragonés de Ciencias de la Salud, Aragón, Spain. [Montes-Martínez A] Departamento de Medicina Preventiva e Saude Pública, Universidade de Santiago de Compostela, Spain. [Nolasco A] Unitat d'Investigació en Anàlisi de la Mortalitat i Estadística Sanitaria, Departament d'Infermeria Comunitària, Medecina Preventiva i Salut Pública i Història de la Ciencia, Universitat d'Alacant, Spain. [Sáez M] Research Group on Statistics, Applied Economics and Health (GRECS), University of Girona, Spain, and This article was partially supported by Fondo de Investigaciones Ssanitarias (FIS) projects numbers PI042013, PI040041, PI040170, PI040069, PI042602 PI040388, PI040489, PI042098 , PI041260, PI040399, PI081488 and by the CIBER en Epidemiología y Salud Pública (CIBERESP), Spain and by the program of 'Intensificación de la Actividad Investigadora (Carme Borrell)' funded by the 'Instituto de Salud Carlos III' and 'Departament de Salut. Generalitat de Catalunya'.
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Male ,Urban Population ,Estudios transversales ,Cross-sectional study ,España ,Health Care::Environment and Public Health::Public Health::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cross-Sectional Studies [Medical Subject Headings] ,Business, Management and Accounting(all) ,Disparidades en el estado de salud ,Población urbana ,Health informatics ,Health Care::Population Characteristics::Population::Urban Population [Medical Subject Headings] ,Neoplasms ,Human geography ,Epidemiology ,Càncer ,Urban areas ,Socioeconomics ,Small-Area Analysis ,media_common ,Geographicals::Geographic Locations::Europe::Spain [Medical Subject Headings] ,Geography ,Diseases::Neoplasms [Medical Subject Headings] ,Census ,Neoplasias ,Health Care::Environment and Public Health::Public Health::Epidemiologic Methods::Statistics as Topic::Probability::Bayes Theorem [Medical Subject Headings] ,lcsh:R858-859.7 ,Enfermería ,Female ,Risk assessment ,Computer Science(all) ,Risk ,medicine.medical_specialty ,General Computer Science ,Inequality ,media_common.quotation_subject ,Health geography ,education ,Bayesian probability ,Medi ambient ,Cancer mortality ,lcsh:Computer applications to medicine. Medical informatics ,Risk Assessment ,Càncer -- Mortalitat ,Ciutats ,Mortalitat ,medicine ,Confidence Intervals ,Teorema de Bayes ,Humans ,Cancer -- Mortality ,Socioeconomic status ,Poverty ,business.industry ,Public health ,Research ,Public Health, Environmental and Occupational Health ,Correction ,Health Care::Environment and Public Health::Public Health::Epidemiologic Measurements::Demography::Health Status::Health Status Disparities [Medical Subject Headings] ,Bayes Theorem ,Health Status Disparities ,General Business, Management and Accounting ,Socioeconomic deprivation ,Bayesian statistical decision ,Cross-Sectional Studies ,Estadística bayesiana ,Socioeconomic Factors ,Spain ,Inequalities ,business ,Demography - Abstract
incluye "Erratum to: Cancer mortality inequalities in urban areas: a Bayesian small area analysis in Spanish cities" BACKGROUND: Intra-urban inequalities in mortality have been infrequently analysed in European contexts. The aim of the present study was to analyse patterns of cancer mortality and their relationship with socioeconomic deprivation in small areas in 11 Spanish cities. METHODS: It is a cross-sectional ecological design using mortality data (years 1996-2003). Units of analysis were the census tracts. A deprivation index was calculated for each census tract. In order to control the variability in estimating the risk of dying we used Bayesian models. We present the RR of the census tract with the highest deprivation vs. the census tract with the lowest deprivation. RESULTS: In the case of men, socioeconomic inequalities are observed in total cancer mortality in all cities, except in Castellon, Cordoba and Vigo, while Barcelona (RR = 1.53 95%CI 1.42-1.67), Madrid (RR = 1.57 95%CI 1.49-1.65) and Seville (RR = 1.53 95%CI 1.36-1.74) present the greatest inequalities. In general Barcelona and Madrid, present inequalities for most types of cancer. Among women for total cancer mortality, inequalities have only been found in Barcelona and Zaragoza. The excess number of cancer deaths due to socioeconomic deprivation was 16,413 for men and 1,142 for women. CONCLUSION: This study has analysed inequalities in cancer mortality in small areas of cities in Spain, not only relating this mortality with socioeconomic deprivation, but also calculating the excess mortality which may be attributed to such deprivation. This knowledge is particularly useful to determine which geographical areas in each city need intersectorial policies in order to promote a healthy environment. This article was partially supported by Fondo de Investigaciones Ssanitarias (FIS) projects numbers PI042013, PI040041, PI040170, PI040069, PI042602 PI040388, PI040489, PI042098 , PI041260, PI040399, PI081488 and by the CIBER en Epidemiología y Salud Pública (CIBERESP), Spain and by the program of "Intensificación de la Actividad Investigadora (Carme Borrell)" funded by the "Instituto de Salud Carlos III" and "Departament de Salut. Generalitat de Catalunya". Sí
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- 2011