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Population health inequalities across and within european metropolitan areas through the lens of the euro-healthy population health index
Costa, Claudia (University of Coimbra)
Santana, Paula (University of Coimbra)
Dimitroulopoulou, Sani (Public Health England)
Burstrom, Bo (Karolinska Institutet (Estocolm, Suècia))
Borrell i Thió, Carme (Institut d'Investigació Biomèdica Sant Pau)
Schweikart, Jürgen (Beuth University of Applied Sciences Berlin)
Dzurova, Dagmar (Charles University)
Zangarini, Nicolás (University of Turin)
Katsouyanni, Klea (University of Athens Medical School)
Deboseree, Patrick (University of Brussels)
Freitas, Ângela (University of Coimbra)
Mitsakou, Christina (Public Health England)
Samoli, Evangelia (University of Athens Medical School)
Vardoulakis, Sotiris (Institute of Occupational Medicine)
Marí-Dell'Olmo, Marc 1978- (Institut d'Investigació Biomèdica Sant Pau)
Gotsens, Mercè (Institut d'Investigació Biomèdica Sant Pau)
Lustigova, Michala (Charles University)
Corman, Diana (The National Board of Health and Welfare)
Costa, Giuseppe (University of Turin)
Universitat Autònoma de Barcelona

Fecha: 2019
Resumen: The different geographical contexts seen in European metropolitan areas are reflected in the uneven distribution of health risk factors for the population. Accumulating evidence on multiple health determinants point to the importance of individual, social, economic, physical and built environment features, which can be shaped by the local authorities. The complexity of measuring health, which at the same time underscores the level of intra-urban inequalities, calls for integrated and multidimensional approaches. The aim of this study is to analyse inequalities in health determinants and health outcomes across and within nine metropolitan areas: Athens, Barcelona, Berlin-Brandenburg, Brussels, Lisbon, London, Prague, Stockholm and Turin. We use the EURO-HEALTHY Population Health Index (PHI), a tool that measures health in two components: Health Determinants and Health Outcomes. The application of this tool revealed important inequalities between metropolitan areas: Better scores were found in Northern cities when compared with their Southern and Eastern counterparts in both components. The analysis of geographical patterns within metropolitan areas showed that there are intra-urban inequalities, and, in most cities, they appear to form spatial clusters. Identifying which urban areas are measurably worse off, in either Health Determinants or Health Outcomes, or both, provides a basis for redirecting local action and for ongoing comparisons with other metropolitan areas.
Derechos: 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. Creative Commons
Lengua: Anglès
Documento: Article ; recerca ; Versió publicada
Materia: Europe ; Health determinants ; Health outcomes ; Metropolitan areas ; Municipalities ; Population Health Index
Publicado en: International journal of environmental research and public health, Vol. 16 Núm. 5 (january 2019) , p. 836, ISSN 1660-4601

DOI: 10.3390/ijerph16050836
PMID: 30866549


17 p, 2.7 MB

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Documentos de investigación > Documentos de los grupos de investigación de la UAB > Centros y grupos de investigación (producción científica) > Ciencias de la salud y biociencias > Institut de Recerca Sant Pau
Artículos > Artículos de investigación
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 Registro creado el 2023-11-24, última modificación el 2024-04-22



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