Evidence map›Paper›PMID 26960289›Full record

ArticleEnvironmental health : a global access science source2016

Associations between urban metrics and mortality rates in England.

Daniela Fecht, Lea Fortunato, David Morley, Anna L Hansell, John Gulliver

Abstract read
In one paragraph

Article in Environmental health : a global access science source, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. The Associations Between Urban Form and Major Non-communicable Diseases: a Systematic Review.Journal of urban health : bulletin of the New York Academy of Medicine · 2022
    Pooled it
  2. Pooled it
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  9. Urban Form, Air Pollution, and Health.Current environmental health reports · 2017
    Review
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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

5 authors.

Daniela FechtUK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, Imperial College London, London, W2 1PG, UK. d.fecht@imperial.ac.uk.
Lea FortunatoUK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, Imperial College London, London, W2 1PG, UK. l.fortunato@imperial.ac.uk.
David MorleyUK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, Imperial College London, London, W2 1PG, UK. d.morley@imperial.ac.uk.
Anna L HansellUK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, Imperial College London, London, W2 1PG, UK. a.hansell@imperial.ac.uk.
John GulliverUK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, Imperial College London, London, W2 1PG, UK. j.gulliver@imperial.ac.uk.

Funding

Medical Research Council MR/L01341X/1
6 · The paper itself

Abstract

backgroundSeventy-five percent of the population in Europe live in urban areas and analysing the effects of urban form on the health of the urban population is of great public health interest. Not much is known, however, on the effects of urban form on the health of city dwellers. This study uses a novel approach to investigate whether associations exist between different measures of urban form and mortality risks in cities in England.

methodsWe conducted an ecological, cross-sectional study for urban areas in England with more than 100,000 residents (n = 50) and included all registered premature deaths (<65 years) between 1(st) January 2002 and 31(st) December 2009. To describe and categorise urban form we quantified the distribution and density of population, land cover and transport networks and measures of geographical characteristics. We used Poisson regression models to examine associations between the measures of urban form and age-standardised risks of deaths from all causes, cardiovascular disease, and traffic accidents after adjustment for socioeconomic status and smoking. Analysis was stratified by gender to explore differential associations between females and males.

resultsThere were a total of 200,200 premature deaths during the study period (Females: 37 %; Males: 63 %). Transport network patterns were associated with overall and cardiovascular mortality rates in cities. We saw 12 % higher mortality risk after adjustment in cities with high junction density compared to cities with low density [Females: RR 1.12 (95 % CI 1.10 - 1.15); Males: RR 1.12 (95 % CI 1.10-1.14)]; the risk was slightly higher for cardiovascular mortality [Females: RR 1.16 (95 % CI 1.10 - 1.22); Males: RR 1.12 (95 % CI 1.09 - 1.16)]. Associations between mortality and population patterns were of similar magnitude [Females: RR 1.10 (95 % CI 1.09 - 1.13); Males: RR 1.09 (95 % CI 1.07-1.10)]; associations between mortality and land cover patterns were inconclusive.

conclusionsWe found an association between transport patterns and risk of premature mortality. Associations between urban form and mortality observed in this study suggest that characteristics of city structure might have negative effects on the overall health of urban communities. Future urban planning and regeneration strategies can benefit from such knowledge to promote a healthy living environment for an increasing urban population.

Indexed as

Mortality, PrematureUrban PopulationAccidents, TrafficAdolescentAdultAgedAged, 80 and overCardiovascular DiseasesChildChild, PreschoolCross-Sectional StudiesEnglandFemaleHumansInfantInfant, Newborn

Identifiers

PMID26960289
PMCPMC4895780

What OpenQuestion holds

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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.