Evidence map›Paper›PMID 25879739›Full record

ArticleInternational journal for equity in health2015

Trends in socioeconomic inequalities in preventable mortality in urban areas of 33 Spanish cities, 1996-2007 (MEDEA project).

Andreu Nolasco, Joaquin Moncho, Jose Antonio Quesada, Inmaculada Melchor, Pamela Pereyra-Zamora, Nayara Tamayo-Fonseca, Miguel Angel Martínez-Beneito, Oscar Zurriaga, Mónica Ballesta, Antonio Daponte and 10 more

Abstract read
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Article in International journal for equity in health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

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  5. Spatial Inequities in Life Expectancy in Small Areas of Buenos Aires, Argentina 2015-2017.Journal of urban health : bulletin of the New York Academy of Medicine · 2023
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  9. The Association between Material Deprivation and Avoidable Mortality in Lisbon, Portugal.International journal of environmental research and public health · 2020
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Andreu NolascoUnidad 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. nolasco@ua.es.
Joaquin MonchoUnidad 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@ua.es.
Jose Antonio QuesadaUnidad 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. ja.quesada@ua.es.
Inmaculada MelchorUnidad 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. melchor_inm@gva.es.
Pamela Pereyra-ZamoraUnidad 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. pamela.pereyra@ua.es.
Nayara Tamayo-FonsecaUnidad 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@ua.es.
Miguel Angel Martínez-BeneitoÁrea de Desigualdades en Salud. FISABIO-CSISP, Conselleria de Sanitat, Avenida de Cataluña, 21, 46020, Valencia, España. martinez_mig@gva.es.
Oscar ZurriagaÁrea de Desigualdades en Salud. FISABIO-CSISP, Conselleria de Sanitat, Avenida de Cataluña, 21, 46020, Valencia, España. zurriaga_osc@gva.es.
Mónica BallestaDepartment of Epidemiology, Regional Health Council, Murcia, Spain. monica.ballesta@carm.es.
Antonio DaponteObservatorio 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. antonio.daponte.easp@juntadeandalucia.es.
Ana GandarillasServicio 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. ana.gandarillas@salud.madrid.org.
M Felicitas Domínguez-BerjónServicio 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. felicitas.dominguez@salud.madrid.org.
Marc Marí-Dell'OlmoCiber de Epidemiología y Salud Pública CIBERESP, Instituto de Salud Carlos III, Melchor Fernández Almagro, 3-5 28029, Madrid, España. mmari@aspb.cat.
Mercè GotsensCiber de Epidemiología y Salud Pública CIBERESP, Instituto de Salud Carlos III, Melchor Fernández Almagro, 3-5 28029, Madrid, España. mgotsens@aspb.cat.
Natividad IzcoDirección General de Salud Pública y Consumo, Gobierno de La Rioja, Calle Vara de Rey n° 8, 1ª planta, 26071, Logroño, España. nizcog@larioja.org.
M Concepción MorenoCiber de Epidemiología y Salud Pública CIBERESP, Instituto de Salud Carlos III, Melchor Fernández Almagro, 3-5 28029, Madrid, España. mmorenoi@cfnavarra.es.
Marc SáezCiber de Epidemiología y Salud Pública CIBERESP, Instituto de Salud Carlos III, Melchor Fernández Almagro, 3-5 28029, Madrid, España. marc.saez@udg.edu.
Carmen MartosCiber de Epidemiología y Salud Pública CIBERESP, Instituto de Salud Carlos III, Melchor Fernández Almagro, 3-5 28029, Madrid, España. martos_car@gva.es.
Pablo Sánchez-VillegasObservatorio 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. pablo.sanchez.easp@juntadeandalucia.es.
Carme BorrellCiber de Epidemiología y Salud Pública CIBERESP, Instituto de Salud Carlos III, Melchor Fernández Almagro, 3-5 28029, Madrid, España. cborrell@aspb.cat.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreventable 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.

methodsWe 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.

resultsPreventable 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.

conclusionsPreventable 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.

Indexed as

Health Status DisparitiesAdolescentAdultAgedCause of DeathCensusesChildChild, PreschoolCitiesFemaleHumansInfantMaleMiddle AgedMortalitySex Distribution

Identifiers

PMID25879739
PMCPMC4392789

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