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Associations between urban metrics and mortality rates in England

Overview of attention for article published in Environmental Health, March 2016
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Title
Associations between urban metrics and mortality rates in England
Published in
Environmental Health, March 2016
DOI 10.1186/s12940-016-0106-3
Pubmed ID
Authors

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

Abstract

Seventy-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. We 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. There 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. We 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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 1%
Brazil 1 1%
Unknown 86 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 17%
Researcher 15 17%
Student > Master 12 14%
Student > Bachelor 6 7%
Student > Postgraduate 4 5%
Other 13 15%
Unknown 23 26%
Readers by discipline Count As %
Social Sciences 11 13%
Medicine and Dentistry 10 11%
Environmental Science 6 7%
Psychology 6 7%
Nursing and Health Professions 5 6%
Other 18 20%
Unknown 32 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 April 2016.
All research outputs
#14,715,943
of 22,860,626 outputs
Outputs from Environmental Health
#1,063
of 1,493 outputs
Outputs of similar age
#166,178
of 299,381 outputs
Outputs of similar age from Environmental Health
#31
of 40 outputs
Altmetric has tracked 22,860,626 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,493 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.3. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 299,381 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.