↓ Skip to main content

Can the built environment reduce health inequalities? A study of neighbourhood socioeconomic disadvantage and walking for transport

Overview of attention for article published in Health & Place, November 2012
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
132 Dimensions

Readers on

mendeley
292 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Can the built environment reduce health inequalities? A study of neighbourhood socioeconomic disadvantage and walking for transport
Published in
Health & Place, November 2012
DOI 10.1016/j.healthplace.2012.10.008
Pubmed ID
Authors

Gavin Turrell, Michele Haynes, Lee-Ann Wilson, Billie Giles-Corti

Abstract

Residents of socioeconomically disadvantaged neighbourhoods are more likely to walk for transport than their counterparts in advantaged neighbourhoods; however, the reasons for higher rates of transport walking in poorer neighbourhoods remain unclear. We investigated this issue using data from the HABITAT study of physical activity among 11,037 mid-aged residents of 200 neighbourhoods in Brisbane, Australia. Using a five-step mediation analysis and multilevel regression, we found that higher levels of walking for transport in disadvantaged neighbourhoods was associated with living in a built environment more conducive to walking (i.e. greater street connectivity and land use mix) and residents of these neighbourhoods having more limited access to a motor vehicle. The health benefits that accrue to residents of disadvantaged neighbourhoods as a result of their higher levels of walking for transport might help offset the negative effects of less healthy behaviours (e.g. smoking, poor diet), thus serving to contain or reduce neighbourhood inequalities in chronic disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 292 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
United Kingdom 3 1%
Indonesia 1 <1%
India 1 <1%
New Zealand 1 <1%
Canada 1 <1%
Unknown 282 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 69 24%
Student > Master 55 19%
Researcher 41 14%
Student > Bachelor 19 7%
Professor 14 5%
Other 53 18%
Unknown 41 14%
Readers by discipline Count As %
Social Sciences 62 21%
Medicine and Dentistry 33 11%
Environmental Science 26 9%
Engineering 16 5%
Design 14 5%
Other 81 28%
Unknown 60 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 04 January 2013.
All research outputs
#5,405,755
of 25,374,917 outputs
Outputs from Health & Place
#858
of 1,826 outputs
Outputs of similar age
#39,230
of 194,753 outputs
Outputs of similar age from Health & Place
#7
of 20 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,826 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.5. This one has gotten more attention than average, scoring higher than 52% of its peers.
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 194,753 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.