Evidence map›Paper›PMID 30866549›Full record

ArticleInternational journal of environmental research and public health2019

Population Health Inequalities Across and Within European Metropolitan Areas through the Lens of the EURO-HEALTHY Population Health Index.

Claudia Costa, Paula Santana, Sani Dimitroulopoulou, Bo Burstrom, Carme Borrell, Jürgen Schweikart, Dagmar Dzurova, Nicolás Zangarini, Klea Katsouyanni, Patrick Deboseree and 9 more

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Effectiveness of Mobility and Urban Sustainability Measures in Improving Citizen Health: A Scoping Review.International journal of environmental research and public health · 2023
    Article
  7. Article
  8. Local Welfare Systems and Health Inequalities: The Effects of Institutional Overlapping and Local Variations.International journal of environmental research and public health · 2022
    Article
  9. Review
  10. Article
  11. Article
  12. Inequalities in Health: Methodological Approaches to Spatial Differentiation.International journal of environmental research and public health · 2021
    Article
  13. Article
  14. The Association between Material Deprivation and Avoidable Mortality in Lisbon, Portugal.International journal of environmental research and public health · 2020
    Article
  15. Article
  16. Review
  17. Article
  18. Measuring Health Vulnerability: An Interdisciplinary Indicator Applied to Mainland Portugal.International journal of environmental research and public health · 2019
    Article
  19. Article
  20. Health Disparities in Czechia and Portugal at Country and Municipality Levels.International journal of environmental research and public health · 2019
    Article
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

19 authors.

Claudia CostaCentre of Studies in Geography and Spatial Planning, University of Coimbra, 3004-530 Coimbra, Portugal. claudiampcosta@gmail.com.
Paula SantanaCentre of Studies in Geography and Spatial Planning, University of Coimbra, 3004-530 Coimbra, Portugal. paulasantana.coimbra@gmail.com.ORCID 0000-0002-7658-8475
Sani DimitroulopoulouCentre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton OX11 0RQ, Oxon, UK. Sani.Dimitroulopoulou@phe.gov.uk.
Bo BurstromKarolinska Institutet, Department of Public Health Sciences, Division of Social Medicine, 171 77 Stockholm, Sweden. bo.burstrom@sll.se.
Carme BorrellAgència de Salut Pública de Barcelona, 08023 Barcelona, Spain. cborrell@aspb.cat.
Jürgen SchweikartDepartment of Civil Engineering and Geoinformation, Beuth University of Applied Sciences Berlin, 13437 Berlin, Germany. schweikart@beuth-hochschule.de.ORCID 0000-0002-6459-4173
Dagmar DzurovaDepartment of Social Geography and Regional Development, Faculty of Science, Charles University, 128 43 Prague, Czech Republic. dagmar.dzurova@natur.cuni.cz.ORCID 0000-0003-0530-4997
Nicolás ZangariniDepartment of Public Health and Pediatrics, University of Turin, 10126 Turin, Italy. nicolas.zengarini@epi.piemonte.it.
Klea KatsouyanniDepartment of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, 115 27 Athens, Greece. kkatsouy@med.uoa.gr.
Patrick DebosereeInterface Demography, University of Brussels, 1050 Brussels, Belgium. patrick.deboosere@vub.ac.be.
Ângela FreitasCentre of Studies in Geography and Spatial Planning, University of Coimbra, 3004-530 Coimbra, Portugal. angelafreitas30@gmail.com.
Christina MitsakouCentre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton OX11 0RQ, Oxon, UK. Christina.Mitsakou@phe.gov.uk.
Evangelia SamoliDepartment of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, 115 27 Athens, Greece. esamoli@med.uoa.gr.
Sotiris VardoulakisInstitute of Occupational Medicine, Edinburgh EH14 4AP, UK. Sotiris.Vardoulakis@iom-world.org.ORCID 0000-0003-3944-7128
Marc Marí Dell'OlmoAgència de Salut Pública de Barcelona, 08023 Barcelona, Spain. mmari@aspb.cat.ORCID 0000-0003-4345-4988
Mercè GotsensAgència de Salut Pública de Barcelona, 08023 Barcelona, Spain. mgotsens@aspb.cat.
Michala LustigovaDepartment of Social Geography and Regional Development, Faculty of Science, Charles University, 128 43 Prague, Czech Republic. michala.lustigova@gmail.com.ORCID 0000-0002-5235-1932
Diana CormanThe National Board of Health and Welfare, 106 30 Stockholm, Sweden. diana.corman@socialstyrelsen.se.
Giuseppe CostaMedical School of the University of Turin, University of Turin, 10124 Turin, Italy. giuseppe.costa@epi.piemonte.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Health Status DisparitiesAdultCitiesEuropeFemaleGeographyHumansPopulation HealthRisk FactorsEuropehealth determinantshealth outcomesmetropolitan areasmunicipalitiesPopulation Health Index

Identifiers

PMID30866549
PMCPMC6427561

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.