Title |
Can the built environment reduce health inequalities? A study of neighbourhood socioeconomic disadvantage and walking for transport
|
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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
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 5 | 63% |
Guinea | 1 | 13% |
Unknown | 2 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 63% |
Scientists | 2 | 25% |
Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
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% |