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Aguilar-Palacio I, Martinez-Beneito MA, Rabanaque MJ, Borrell C, Cirera L, Daponte A, Domínguez-Berjón MF, Gandarillas A, Gotsens M, Lorenzo-Ruano P, Marí-Dell'Olmo M, Nolasco A, Saez M, Sánchez-Villegas P, Saurina C, Martos C. Diabetes mellitus mortality in Spanish cities: Trends and geographical inequalities. Prim Care Diabetes 2017; 11:453-460. [PMID: 28623082 DOI: 10.1016/j.pcd.2017.05.006] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2016] [Revised: 05/08/2017] [Accepted: 05/18/2017] [Indexed: 01/24/2023]
Abstract
AIM To analyze the geographical pattern of diabetes mellitus (DM) mortality and its association with socioeconomic factors in 26 Spanish cities. METHODS We conducted an ecological study of DM mortality trends with two cross-sectional cuts (1996-2001; 2002-2007) using census tract (CT) as the unit of analysis. Smoothed standardized mortality rates (sSMR) were calculated using Bayesian models, and a socioeconomic deprivation score was calculated for each CT. RESULTS In total, 27,757 deaths by DM were recorded, with higher mortality rates observed in men and in the period 1996-2001. For men, a significant association between CT deprivation score and DM mortality was observed in 6 cities in the first study period and in 7 cities in the second period. The highest relative risk was observed in Pamplona (RR, 5.13; 95% credible interval (95%CI), 1.32-15.16). For women, a significant association between CT deprivation score and DM mortality was observed in 13 cities in the first period and 8 in the second. The strongest association was observed in San Sebastián (RR, 3.44; 95%CI, 1.25-7.36). DM mortality remained stable in the majority of cities, although a marked decrease was observed in some cities, including Madrid (RR, 0.67 and 0.64 for men and women, respectively). CONCLUSIONS Our findings demonstrate clear inequalities in DM mortality in Spain. These inequalities remained constant over time are were more marked in women. Detection of high-risk areas is crucial for the implementation of specific interventions.
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Affiliation(s)
- I Aguilar-Palacio
- Departamento de Microbiología, Medicina Preventiva y Salud Pública, Universidad de Zaragoza, Zaragoza, Spain; Grupo de Investigación en Servicios Sanitarios de Aragón (GRISSA), Instituto de Investigación Sanitaria de Aragón (IIS Aragón), Spain.
| | - M A Martinez-Beneito
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO-Salud Pública), Valencia, Spain; Ciber de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - M J Rabanaque
- Departamento de Microbiología, Medicina Preventiva y Salud Pública, Universidad de Zaragoza, Zaragoza, Spain; Grupo de Investigación en Servicios Sanitarios de Aragón (GRISSA), Instituto de Investigación Sanitaria de Aragón (IIS Aragón), Spain
| | - C Borrell
- Ciber de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Agència de Salut Pública de Barcelona, Barcelona, Spain
| | - L Cirera
- Ciber de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Servicio de Epidemiología, Consejería de Sanidad, IMIB - Arrrixaca, Murcia, Spain
| | - A Daponte
- Ciber de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Observatorio de Salud y Medio Ambiente de Andalucía (OSMAN), Escuela Andaluza de Salud Pública, Consejería de Salud, Junta de Andalucía, Granada, Spain
| | - M F Domínguez-Berjón
- Subdirección de Promoción de la Salud y Prevención, Consejería de Sanidad, Comunidad de Madrid, Madrid, Spain
| | - A Gandarillas
- Subdirección de Promoción de la Salud y Prevención, Consejería de Sanidad, Comunidad de Madrid, Madrid, Spain
| | - M Gotsens
- Ciber de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Agència de Salut Pública de Barcelona, Barcelona, Spain
| | - P Lorenzo-Ruano
- Dirección General de Salud Pública, Servicio Canario de Salud, Spain
| | - M Marí-Dell'Olmo
- Ciber de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Agència de Salut Pública de Barcelona, Barcelona, Spain
| | - A Nolasco
- Unidad de Investigación en Análisis de la Mortalidad y Estadísticas Sanitarias, Universidad de Alicante, Alicante, Spain
| | - M Saez
- Ciber de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Grupo de Investigación en Estadística, Econometría y Salud (GRECS), Universidad de Girona, Girona, Spain
| | - P Sánchez-Villegas
- Ciber de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Observatorio de Salud y Medio Ambiente de Andalucía (OSMAN), Escuela Andaluza de Salud Pública, Consejería de Salud, Junta de Andalucía, Granada, Spain
| | - C Saurina
- Ciber de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Grupo de Investigación en Estadística, Econometría y Salud (GRECS), Universidad de Girona, Girona, Spain
| | - C Martos
- Grupo de Investigación en Servicios Sanitarios de Aragón (GRISSA), Instituto de Investigación Sanitaria de Aragón (IIS Aragón), Spain; Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO-Salud Pública), Valencia, Spain; Ciber de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
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3
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Nolasco A, Moncho J, Quesada JA, Melchor I, Pereyra-Zamora P, Tamayo-Fonseca N, Martínez-Beneito MA, Zurriaga O, Ballesta M, Daponte A, Gandarillas A, Domínguez-Berjón MF, Marí-Dell'Olmo M, Gotsens M, Izco N, Moreno MC, Sáez M, Martos C, Sánchez-Villegas P, Borrell C. Trends in socioeconomic inequalities in preventable mortality in urban areas of 33 Spanish cities, 1996-2007 (MEDEA project). Int J Equity Health 2015; 14:33. [PMID: 25879739 PMCID: PMC4392789 DOI: 10.1186/s12939-015-0164-0] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2014] [Accepted: 03/17/2015] [Indexed: 11/30/2022] Open
Abstract
Background Preventable mortality is a good indicator of possible problems to be investigated in the primary prevention chain, making it also a useful tool with which to evaluate health policies particularly public health policies. This study describes inequalities in preventable avoidable mortality in relation to socioeconomic status in small urban areas of thirty three Spanish cities, and analyses their evolution over the course of the periods 1996–2001 and 2002–2007. Methods We analysed census tracts and all deaths occurring in the population residing in these cities from 1996 to 2007 were taken into account. The causes included in the study were lung cancer, cirrhosis, AIDS/HIV, motor vehicle traffic accidents injuries, suicide and homicide. The census tracts were classified into three groups, according their socioeconomic level. To analyse inequalities in mortality risks between the highest and lowest socioeconomic levels and over different periods, for each city and separating by sex, Poisson regression were used. Results Preventable avoidable mortality made a significant contribution to general mortality (around 7.5%, higher among men), having decreased over time in men (12.7 in 1996–2001 and 10.9 in 2002–2007), though not so clearly among women (3.3% in 1996–2001 and 2.9% in 2002–2007). It has been observed in men that the risks of death are higher in areas of greater deprivation, and that these excesses have not modified over time. The result in women is different and differences in mortality risks by socioeconomic level could not be established in many cities. Conclusions Preventable mortality decreased between the 1996–2001 and 2002–2007 periods, more markedly in men than in women. There were socioeconomic inequalities in mortality in most cities analysed, associating a higher risk of death with higher levels of deprivation. Inequalities have remained over the two periods analysed. This study makes it possible to identify those areas where excess preventable mortality was associated with more deprived zones. It is in these deprived zones where actions to reduce and monitor health inequalities should be put into place. Primary healthcare may play an important role in this process.
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Affiliation(s)
- Andreu Nolasco
- Unidad de Investigación de Análisis de la Mortalidad y Estadísticas Sanitarias. Departamento de Enfermería Comunitaria, Medicina Preventiva y Salud Pública e Historia de la Ciencia. Campus de San Vicente del Raspeig s/n. Apartado 99, Universidad de Alicante, 03080, Alicante, España.
| | - Joaquin Moncho
- Unidad de Investigación de Análisis de la Mortalidad y Estadísticas Sanitarias. Departamento de Enfermería Comunitaria, Medicina Preventiva y Salud Pública e Historia de la Ciencia. Campus de San Vicente del Raspeig s/n. Apartado 99, Universidad de Alicante, 03080, Alicante, España.
| | - Jose Antonio Quesada
- Unidad de Investigación de Análisis de la Mortalidad y Estadísticas Sanitarias. Departamento de Enfermería Comunitaria, Medicina Preventiva y Salud Pública e Historia de la Ciencia. Campus de San Vicente del Raspeig s/n. Apartado 99, Universidad de Alicante, 03080, Alicante, España.
| | - Inmaculada Melchor
- Unidad de Investigación de Análisis de la Mortalidad y Estadísticas Sanitarias. Departamento de Enfermería Comunitaria, Medicina Preventiva y Salud Pública e Historia de la Ciencia. Campus de San Vicente del Raspeig s/n. Apartado 99, Universidad de Alicante, 03080, Alicante, España. .,Registro de Mortalidad de la Comunidad Valenciana, Servicio de Estudios Epidemiológicos y Estadísticas Sanitarias, Subdirección General de Epidemiología y Vigilancia de la Salud. Conselleria de Sanitat, Plaza de España 6, 03010, Alicante, España.
| | - Pamela Pereyra-Zamora
- Unidad de Investigación de Análisis de la Mortalidad y Estadísticas Sanitarias. Departamento de Enfermería Comunitaria, Medicina Preventiva y Salud Pública e Historia de la Ciencia. Campus de San Vicente del Raspeig s/n. Apartado 99, Universidad de Alicante, 03080, Alicante, España.
| | - Nayara Tamayo-Fonseca
- Unidad de Investigación de Análisis de la Mortalidad y Estadísticas Sanitarias. Departamento de Enfermería Comunitaria, Medicina Preventiva y Salud Pública e Historia de la Ciencia. Campus de San Vicente del Raspeig s/n. Apartado 99, Universidad de Alicante, 03080, Alicante, España.
| | - Miguel Angel Martínez-Beneito
- Área de Desigualdades en Salud. FISABIO-CSISP, Conselleria de Sanitat, Avenida de Cataluña, 21, 46020, Valencia, España. .,Ciber de Epidemiología y Salud Pública CIBERESP, Instituto de Salud Carlos III, Melchor Fernández Almagro, 3-5 28029, Madrid, España.
| | - Oscar Zurriaga
- Área de Desigualdades en Salud. FISABIO-CSISP, Conselleria de Sanitat, Avenida de Cataluña, 21, 46020, Valencia, España. .,Servicio de Estudios Epidemiológicos y Estadísticas Sanitarias, Subdirección General de Epidemiología y Vigilancia de la Salud. Conselleria de Sanitat, Avenida de Cataluña, 21, 46020, Valencia, España. .,Ciber de Epidemiología y Salud Pública CIBERESP, Instituto de Salud Carlos III, Melchor Fernández Almagro, 3-5 28029, Madrid, España.
| | - Mónica Ballesta
- Department of Epidemiology, Regional Health Council, Murcia, Spain.
| | - Antonio Daponte
- Observatorio de Salud y Medio Ambiente de Andalucía (OSMAN). Escuela Andaluza de Salud Pública, Campus Universitario de Cartuja, Cuesta del Observatorio, 4. Ap. Correos 2070, Granada, 18080, España.
| | - Ana Gandarillas
- Servicio de Epidemiología. Subdirección de Promoción de la Salud y Prevención. Dirección General de Atención Primaria, Consejería de Sanidad Comunidad de Madrid, C/ San Martín de Porres, n° 6, 1ª planta, 28035, Madrid, España.
| | - M Felicitas Domínguez-Berjón
- Servicio de Informes de Salud y Estudios. Subdirección de Promoción de la Salud y Prevención. Dirección General de Atención Primaria, Consejería de Sanidad Comunidad de Madrid, C/ San Martín de Porres, n° 6, 1ª planta, 28035, Madrid, España.
| | - Marc Marí-Dell'Olmo
- Ciber de Epidemiología y Salud Pública CIBERESP, Instituto de Salud Carlos III, Melchor Fernández Almagro, 3-5 28029, Madrid, España. .,Agència de Salut Pública de Barcelona, Plaça Lesseps, 1, 08023, Barcelona, España. .,Institut d'Investigació Biomèdica (IIB Sant Pau), Barcelona, Spain.
| | - Mercè Gotsens
- Ciber de Epidemiología y Salud Pública CIBERESP, Instituto de Salud Carlos III, Melchor Fernández Almagro, 3-5 28029, Madrid, España. .,Agència de Salut Pública de Barcelona, Plaça Lesseps, 1, 08023, Barcelona, España. .,Institut d'Investigació Biomèdica (IIB Sant Pau), Barcelona, Spain.
| | - Natividad Izco
- Dirección General de Salud Pública y Consumo, Gobierno de La Rioja, Calle Vara de Rey n° 8, 1ª planta, 26071, Logroño, España.
| | - M Concepción Moreno
- Ciber de Epidemiología y Salud Pública CIBERESP, Instituto de Salud Carlos III, Melchor Fernández Almagro, 3-5 28029, Madrid, España. .,Instituto de Salud Pública y Laboral de Navarra, C/ Leyre, 15, 31003, Pamplona, Navarra, Spain.
| | - Marc Sáez
- Ciber de Epidemiología y Salud Pública CIBERESP, Instituto de Salud Carlos III, Melchor Fernández Almagro, 3-5 28029, Madrid, España. .,Grupo de Investigación en Estadística, Econometría y Salud (GRECS), [Research Group on Statistics, Econometrics and Health (GRECS)], Universidad de Girona. Calle de la Universidad 10, Campus de Montilivi, 17071, Girona, España.
| | - Carmen Martos
- Ciber de Epidemiología y Salud Pública CIBERESP, Instituto de Salud Carlos III, Melchor Fernández Almagro, 3-5 28029, Madrid, España. .,Instituto Aragonés de Ciencias de la Salud, Avda. San Juan Bosco, n°13, 50009, Zaragoza, España.
| | - Pablo Sánchez-Villegas
- Observatorio de Salud y Medio Ambiente de Andalucía (OSMAN). Escuela Andaluza de Salud Pública, Campus Universitario de Cartuja, Cuesta del Observatorio, 4. Ap. Correos 2070, Granada, 18080, España.
| | - Carme Borrell
- Ciber de Epidemiología y Salud Pública CIBERESP, Instituto de Salud Carlos III, Melchor Fernández Almagro, 3-5 28029, Madrid, España. .,Agència de Salut Pública de Barcelona, Plaça Lesseps, 1, 08023, Barcelona, España.
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4
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Aguilar I, Compés L, Feja C, Rabanaque MJ, Martos C. Gastric cancer incidence and geographical variations: the influence of gender and rural and socioeconomic factors, Zaragoza (Spain). Gastric Cancer 2013; 16:245-53. [PMID: 22806416 DOI: 10.1007/s10120-012-0175-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2012] [Accepted: 06/12/2012] [Indexed: 02/07/2023]
Abstract
BACKGROUND Socioeconomic status (SES) and rural factors have been shown to be associated with gastric cancer epidemiology. The aim of this study was to identify geographical variations in gastric cancer incidence in Zaragoza province (Spain) during the period 1993-2002, and their association with SES and rural factors. METHODS Incident cases were extracted from the population-based Zaragoza Cancer Registry. The geographical analysis unit was the census tract (CT) in Zaragoza city (N = 462) and the municipalities for the rest of the province (N = 292). Four indexes were applied: two deprivation and two rurality indexes, included in a Bayesian risk model discretized in quartiles. Standardized incidence ratios (SIRs) were calculated using the incidence rates in Spain. SIRs were adjusted by a Bayesian generalized linear mixed model (GLMM). RESULTS From 1993 to 2002, 1,309 cases of gastric cancer were registered in Zaragoza city and 578 in the rest of the province. High risk was observed in CTs for the peripheral areas of the city. The incidence risk in men was 2 (95 % confidence interval [CI] 1.22-2.98) times higher in the most deprived CTs compared with the least deprived CTs, but no statistically significant differences were found in women. Municipalities with higher risk were observed in the north of the province, but no significant association was found with SES. Regarding the rurality index, a positive trend was observed in women, but it was statistically significant only for the most rural quartile (2.49, 95 % CI 1.07-4.92). CONCLUSIONS Geographical differences in gastric cancer incidence were detected. Although these differences could be partially explained by the deprivation index for men in Zaragoza city, deprivation index cannot explain geographical differences for women. In the rest of the province, the rurality index 1991 could explain, at least for women, geographical differences. It is still necessary to develop a deprivation index suitable for small municipalities.
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Affiliation(s)
- Isabel Aguilar
- Division of Public Health, University of Zaragoza, C/Domingo Miral S/N, 50009, Zaragoza, Spain.
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