Evidence map›Paper›PMID 27420090›Full record

ArticleInternational journal of environmental research and public health2016

Mapping Environmental Inequalities Relevant for Health for Informing Urban Planning Interventions-A Case Study in the City of Dortmund, Germany.

Johannes Flacke, Steffen Andreas Schüle, Heike Köckler, Gabriele Bolte

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 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

19 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Socioeconomic inequalities in exposure to neighbourhood environments for physical activity: a systematic review.The international journal of behavioral nutrition and physical activity · 2026
    Pooled it
  2. Pooled it
  3. Social Inequalities in Environmental Noise Exposure: A Review of Evidence in the WHO European Region.International journal of environmental research and public health · 2019
    Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Availability of open data for spatial public health research.German medical science : GMS e-journal · 2022
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Local Geographic Variation of Public Services Inequality: Does the Neighborhood Scale Matter?International journal of environmental research and public health · 2016
    Article
  19. Addressing Environmental Health Inequalities.International journal of environmental research and public health · 2016
    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

4 authors.

Johannes FlackeFaculty of Geo-Information Science and Earth Observation (ITC), University of Twente, P.O. Box 6, Enschede 7500 AE, The Netherlands. j.flacke@utwente.nl.
Steffen Andreas SchüleDepartment of Social Epidemiology, Institute for Public Health and Nursing Research, University of Bremen, Grazer Str. 4, Bremen 28359, Germany. steffen.schuele@uni-bremen.de.
Heike KöcklerDepartment of Community Health, Hochschule für Gesundheit, Gesundheitscampus 6-8, Bochum 44801, Germany. heike.koeckler@hs-gesundheit.de.
Gabriele BolteDepartment of Social Epidemiology, Institute for Public Health and Nursing Research, University of Bremen, Grazer Str. 4, Bremen 28359, Germany. gabriele.bolte@uni-bremen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spatial differences in urban environmental conditions contribute to health inequalities within cities. The purpose of the paper is to map environmental inequalities relevant for health in the City of Dortmund, Germany, in order to identify needs for planning interventions. We develop suitable indicators for mapping socioeconomically-driven environmental inequalities at the neighborhood level based on published scientific evidence and inputs from local stakeholders. Relationships between socioeconomic and environmental indicators at the level of 170 neighborhoods were analyzed continuously with Spearman rank correlation coefficients and categorically applying chi-squared tests. Reclassified socioeconomic and environmental indicators were then mapped at the neighborhood level in order to determine multiple environmental burdens and hotspots of environmental inequalities related to health. Results show that the majority of environmental indicators correlate significantly, leading to multiple environmental burdens in specific neighborhoods. Some of these neighborhoods also have significantly larger proportions of inhabitants of a lower socioeconomic position indicating hotspots of environmental inequalities. Suitable planning interventions mainly comprise transport planning and green space management. In the conclusions, we discuss how the analysis can be used to improve state of the art planning instruments, such as clean air action planning or noise reduction planning towards the consideration of the vulnerability of the population.

Indexed as

EnvironmentHealth Status DisparitiesUrban HealthCity PlanningGermanyHumansResidence CharacteristicsSocioeconomic Factorsbuilt environmentenvironmental inequalitiesenvironmental justicehealth determinantshealth equity indicatorshealth inequalitiesneighborhoodsocioeconomic positionurban planning

Identifiers

PMID27420090
PMCPMC4962252

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.