Please use this identifier to cite or link to this item:
Title: Population Health Inequalities Across and Within European Metropolitan Areas through the Lens of the EURO-HEALTHY Population Health Index
Authors: Costa, Cláudia Margarida Pereira da 
Rodrigues, Ana Paula Santana 
Dimitroulopoulou, Sani
Burström, Bo 
Borrell, Carme 
Schweikart, Jürgen
Dzúrová, Dagmar 
Zangarini, Nicolás
Katsouyanni, Klea 
Debooseree, Patrick 
Freitas, Ângela Mendes 
Mitsakou, Christina
Samoli, Evangelia
Vardoulakis, Sotiris
Marí-Dell'Olmo, Marc 
Gotsens, Mercè 
Lustigova, Michala
Corman, Diana
Costa, Giuseppe 
Keywords: Europe; Population Health Index; health determinants; health outcomes; metropolitan areas; municipalities
Issue Date: 2019
Publisher: MDPI
Project: info:eu-repo/grantAgreement/EC/H2020/643398/EU/Shaping EUROpean policies to promote HEALTH equitY 
refª FCT: UID/GEO/04084/2013 
Serial title, monograph or event: International Journal of Environmental Research and Public Health
Volume: 16
Issue: 5
Abstract: 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.
ISSN: 1660-4601
DOI: 10.3390/ijerph16050836
Rights: openAccess
Appears in Collections:I&D CEGOT - Artigos em Revistas Internacionais

Show full item record


checked on May 29, 2020

Citations 10

checked on Jan 2, 2022

Page view(s)

checked on Dec 23, 2021


checked on Dec 23, 2021

Google ScholarTM




This item is licensed under a Creative Commons License Creative Commons